Merge branch 'master' of github.com:introlab/rtabmap into gtest

This commit is contained in:
matlabbe
2025-06-21 13:45:01 -07:00
84 changed files with 3332 additions and 1443 deletions
+24
View File
@@ -0,0 +1,24 @@
FROM introlab3it/rtabmap:android-noble-deps
# remove ubuntu user
RUN touch /var/mail/ubuntu && chown ubuntu /var/mail/ubuntu && userdel -r ubuntu
RUN apt-get update && apt-get install -y sudo && \
apt-get clean && rm -rf /var/lib/apt/lists/
ARG USERNAME=vscode
ARG USER_UID=1000
ARG USER_GID=1000
RUN set -ex && \
groupadd --gid ${USER_GID} ${USERNAME} && \
useradd --uid ${USER_UID} --gid ${USER_GID} -m ${USERNAME} && \
usermod -a -G sudo ${USERNAME} && \
echo "${USERNAME} ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/${USERNAME} && \
chmod 0440 /etc/sudoers.d/${USERNAME}
RUN chmod +x /opt/android-sdk/tools/android
RUN echo "source /usr/share/bash-completion/completions/git" >> /home/${USERNAME}/.bashrc
+13 -1
View File
@@ -1,9 +1,21 @@
{
"image": "introlab3it/rtabmap:android-deps",
"build": {
"dockerfile": "Dockerfile"
},
"customizations": {
"vscode": {
"extensions": ["ms-vscode.cpptools-themes", "ms-vscode.cmake-tools", "vscjava.vscode-java-pack"]
}
},
"workspaceMount": "source=${localWorkspaceFolder},target=/home/vscode/rtabmap,type=bind",
"workspaceFolder": "/home/vscode/rtabmap",
"postStartCommand": "./.devcontainer/android/init.sh",
"settings": {
"terminal.integrated.defaultProfile.linux": "bash"
},
"remoteUser": "vscode",
"runArgs": ["--privileged", "--network=host"]
}
+17
View File
@@ -0,0 +1,17 @@
#!/bin/bash
set -e
echo "Running post-start initialization..."
# copy required jars
cp /opt/android/lib/*.jar app/android/libs/.
mkdir -p build_android/arm64-v8a
# resource tool
cd build_android
cmake -DANDROID_PREBUILD=ON ..
make
echo -e "\nTo build the APK, do (adjust API number):"
echo -e '\nexport ANDROID_API=30 && cd build_android/arm64-v8a && cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=$ANDROID_API -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" -DBUILD_EXAMPLES=OFF -DBUILD_TOOLS=OFF -DOpenCV_DIR=/opt/android/arm64-v8a/sdk/native/jni ../..\nmake -j6\n'
+16 -1
View File
@@ -23,14 +23,29 @@ jobs:
strategy:
fail-fast: false
matrix:
ros_distribution: [ humble, jazzy ]
ros_distribution: [ humble, jazzy, kilted, rolling ]
include:
- ros_distribution: 'humble'
os: ubuntu-22.04
- ros_distribution: 'jazzy'
os: ubuntu-24.04
- ros_distribution: 'kilted'
os: ubuntu-24.04
- ros_distribution: 'rolling'
os: ubuntu-24.04
steps:
- name: Setup ROS2
# https://docs.ros.org/en/humble/Installation/Ubuntu-Install-Debs.html
run: |
sudo apt install software-properties-common
sudo add-apt-repository universe
sudo apt update && sudo apt install curl -y
export ROS_APT_SOURCE_VERSION=$(curl -s https://api.github.com/repos/ros-infrastructure/ros-apt-source/releases/latest | grep -F "tag_name" | awk -F\" '{print $4}')
curl -L -o /tmp/ros2-apt-source.deb "https://github.com/ros-infrastructure/ros-apt-source/releases/download/${ROS_APT_SOURCE_VERSION}/ros2-apt-source_${ROS_APT_SOURCE_VERSION}.$(. /etc/os-release && echo $VERSION_CODENAME)_all.deb"
sudo apt install /tmp/ros2-apt-source.deb
sudo apt update
- uses: ros-tooling/[email protected]
with:
required-ros-distributions: ${{ matrix.ros_distribution }}
+24 -24
View File
@@ -15,14 +15,14 @@ jobs:
# $ sudo apt-get upgrade qemu-user-static
# $ docker run --rm --privileged multiarch/qemu-user-static --reset -p yes -c yes
# More info: https://github.com/introlab/rtabmap/issues/1454
if: false
# if: false
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
docker_tag: [focal-deps, jammy-deps, jammy-iron-deps, noble-deps]
docker_tag: [focal-deps, jammy-deps, noble-deps, noble-kilted-deps]
include:
- docker_tag: focal-deps
docker_tags: |
@@ -30,7 +30,6 @@ jobs:
docker_platforms: |
linux/amd64
linux/arm64
linux/arm/v7
docker_path: 'focal/deps'
- docker_tag: jammy-deps
docker_tags: |
@@ -39,12 +38,6 @@ jobs:
linux/amd64
linux/arm64
docker_path: 'jammy/deps'
- docker_tag: jammy-iron-deps
docker_tags: |
introlab3it/rtabmap:jammy-iron-deps
docker_platforms: |
linux/amd64
docker_path: 'jammy-iron/deps'
- docker_tag: noble-deps
docker_tags: |
introlab3it/rtabmap:noble-deps
@@ -52,6 +45,13 @@ jobs:
linux/amd64
linux/arm64
docker_path: 'noble/deps'
- docker_tag: noble-kilted-deps
docker_tags: |
introlab3it/rtabmap:noble-kilted-deps
docker_platforms: |
linux/amd64
linux/arm64
docker_path: 'noble-kilted/deps'
steps:
-
@@ -84,13 +84,13 @@ jobs:
cache-to: type=inline
docker:
#needs: docker_deps
needs: docker_deps
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
docker_tag: [bionic, focal, jammy, jammy-iron, noble, android23, android24, android26, android30]
docker_tag: [bionic, focal, jammy, noble, noble-kilted, android23, android24, android26, android30]
include:
- docker_tag: bionic
docker_tags: |
@@ -112,7 +112,6 @@ jobs:
docker_platforms: |
linux/amd64
linux/arm64
linux/arm/v7
docker_path: 'focal'
- docker_tag: jammy
docker_tags: |
@@ -124,14 +123,6 @@ jobs:
linux/amd64
linux/arm64
docker_path: 'jammy'
- docker_tag: jammy-iron
docker_tags: |
introlab3it/rtabmap:jammy-iron
docker_args: |
NOT_USED=0
docker_platforms: |
linux/amd64
docker_path: 'jammy-iron'
- docker_tag: noble
docker_tags: |
introlab3it/rtabmap:noble
@@ -142,6 +133,15 @@ jobs:
linux/amd64
linux/arm64
docker_path: 'noble'
- docker_tag: noble-kilted
docker_tags: |
introlab3it/rtabmap:noble-kilted
docker_args: |
NOT_USED=0
docker_platforms: |
linux/amd64
linux/arm64
docker_path: 'noble-kilted'
- docker_tag: android23
docker_tags: |
introlab3it/rtabmap:android23
@@ -150,7 +150,7 @@ jobs:
API_VERSION=23
docker_platforms: |
linux/amd64
docker_path: 'bionic/android/rtabmap_apiXX'
docker_path: 'noble/android/rtabmap_apiXX'
- docker_tag: android24
docker_tags: |
introlab3it/rtabmap:android24
@@ -158,7 +158,7 @@ jobs:
API_VERSION=24
docker_platforms: |
linux/amd64
docker_path: 'bionic/android/rtabmap_apiXX'
docker_path: 'noble/android/rtabmap_apiXX'
- docker_tag: android26
docker_tags: |
introlab3it/rtabmap:android26
@@ -166,7 +166,7 @@ jobs:
API_VERSION=26
docker_platforms: |
linux/amd64
docker_path: 'bionic/android/rtabmap_apiXX'
docker_path: 'noble/android/rtabmap_apiXX'
- docker_tag: android30
docker_tags: |
introlab3it/rtabmap:android30
@@ -174,7 +174,7 @@ jobs:
API_VERSION=30
docker_platforms: |
linux/amd64
docker_path: 'bionic/android/rtabmap_apiXX'
docker_path: 'noble/android/rtabmap_apiXX'
steps:
-
+5 -5
View File
@@ -19,8 +19,8 @@ SET(CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake_modules")
# VERSION
#######################
SET(RTABMAP_MAJOR_VERSION 0)
SET(RTABMAP_MINOR_VERSION 21)
SET(RTABMAP_PATCH_VERSION 14)
SET(RTABMAP_MINOR_VERSION 22)
SET(RTABMAP_PATCH_VERSION 0)
SET(RTABMAP_VERSION
${RTABMAP_MAJOR_VERSION}.${RTABMAP_MINOR_VERSION}.${RTABMAP_PATCH_VERSION})
@@ -1428,11 +1428,11 @@ MESSAGE(STATUS " With ORB OcTree = NO (WITH_ORB_OCTREE=OFF)")
ENDIF()
IF(TORCH_FOUND)
MESSAGE(STATUS " With SupertPoint = YES (License: GPLv3) libtorch=${Torch_VERSION}")
MESSAGE(STATUS " With SuperPoint = YES (License: GPLv3) libtorch=${Torch_VERSION}")
ELSEIF(NOT WITH_TORCH)
MESSAGE(STATUS " With SupertPoint = NO (WITH_TORCH=OFF)")
MESSAGE(STATUS " With SuperPoint = NO (WITH_TORCH=OFF)")
ELSE()
MESSAGE(STATUS " With SupertPoint = NO (libtorch not found)")
MESSAGE(STATUS " With SuperPoint = NO (libtorch not found)")
ENDIF()
IF(WITH_PYTHON AND Python3_FOUND)
+2 -2
View File
@@ -37,8 +37,8 @@ namespace rtabmap {
//////////////////////////////
// CameraARCore
//////////////////////////////
CameraARCore::CameraARCore(void* env, void* context, void* activity, bool depthFromMotion, bool smoothing, float upstreamRelocalizationAccThr):
CameraMobile(smoothing, upstreamRelocalizationAccThr),
CameraARCore::CameraARCore(void* env, void* context, void* activity, bool depthFromMotion, float upstreamRelocalizationAccThr):
CameraMobile(upstreamRelocalizationAccThr),
env_(env),
context_(context),
activity_(activity),
+1 -1
View File
@@ -50,7 +50,7 @@ namespace rtabmap {
class CameraARCore : public CameraMobile {
public:
CameraARCore(void* env, void* context, void* activity, bool depthFromMotion = false, bool smoothing = false, float upstreamRelocalizationAccThr = 0.0f);
CameraARCore(void* env, void* context, void* activity, bool depthFromMotion = false, float upstreamRelocalizationAccThr = 0.0f);
virtual ~CameraARCore();
virtual void setScreenRotationAndSize(ScreenRotation colorCameraToDisplayRotation, int width, int height);
+2 -2
View File
@@ -40,8 +40,8 @@ namespace rtabmap {
//////////////////////////////
// CameraAREngine
//////////////////////////////
CameraAREngine::CameraAREngine(void* env, void* context, void* activity, bool smoothing, float upstreamRelocalizationAccThr):
CameraMobile(smoothing, upstreamRelocalizationAccThr),
CameraAREngine::CameraAREngine(void* env, void* context, void* activity, float upstreamRelocalizationAccThr):
CameraMobile(upstreamRelocalizationAccThr),
env_(env),
context_(context),
activity_(activity),
+1 -1
View File
@@ -46,7 +46,7 @@ namespace rtabmap {
class CameraAREngine : public CameraMobile {
public:
CameraAREngine(void* env, void* context, void* activity, bool smoothing = false, float upstreamRelocalizationAccThr = 0.0f);
CameraAREngine(void* env, void* context, void* activity, float upstreamRelocalizationAccThr = 0.0f);
virtual ~CameraAREngine();
virtual void setScreenRotationAndSize(ScreenRotation colorCameraToDisplayRotation, int width, int height);
+130 -123
View File
@@ -41,9 +41,6 @@ namespace rtabmap {
//////////////////////////////
// CameraMobile
//////////////////////////////
const float CameraMobile::bilateralFilteringSigmaS = 2.0f;
const float CameraMobile::bilateralFilteringSigmaR = 0.075f;
const rtabmap::Transform CameraMobile::opticalRotation = Transform(
0.0f, 0.0f, 1.0f, 0.0f,
-1.0f, 0.0f, 0.0f, 0.0f,
@@ -53,13 +50,12 @@ const rtabmap::Transform CameraMobile::opticalRotationInv = Transform(
0.0f, 0.0f, -1.0f, 0.0f,
1.0f, 0.0f, 0.0f, 0.0f);
CameraMobile::CameraMobile(bool smoothing, float upstreamRelocalizationAccThr) :
CameraMobile::CameraMobile(float upstreamRelocalizationAccThr) :
Camera(10),
deviceTColorCamera_(Transform::getIdentity()),
textureId_(0),
uvs_initialized_(false),
stampEpochOffset_(0.0),
smoothing_(smoothing),
colorCameraToDisplayRotation_(ROTATION_0),
originUpdate_(true),
upstreamRelocalizationAccThr_(upstreamRelocalizationAccThr),
@@ -394,124 +390,135 @@ SensorData CameraMobile::updateDataOnRender(Transform & pose)
void CameraMobile::postUpdate()
{
if(data_.isValid())
{
// adjust origin
if(!originOffset_.isNull())
{
dataPose_ = originOffset_ * dataPose_;
viewMatrix_ = glm::inverse(rtabmap::glmFromTransform(rtabmap::opengl_world_T_rtabmap_world * originOffset_ *rtabmap::rtabmap_world_T_opengl_world)*glm::inverse(viewMatrix_));
occlusionModel_.setLocalTransform(originOffset_ * occlusionModel_.localTransform());
}
if(lastKnownGPS_.stamp() > 0.0 && data_.stamp()-lastKnownGPS_.stamp()<1.0)
{
data_.setGPS(lastKnownGPS_);
}
else if(lastKnownGPS_.stamp()>0.0)
{
LOGD("GPS too old (current time=%f, gps time = %f)", data_.stamp(), lastKnownGPS_.stamp());
}
if(lastEnvSensors_.size())
{
data_.setEnvSensors(lastEnvSensors_);
lastEnvSensors_.clear();
}
if(smoothing_ && !data_.depthRaw().empty())
{
//UTimer t;
data_.setDepthOrRightRaw(rtabmap::util2d::fastBilateralFiltering(data_.depthRaw(), bilateralFilteringSigmaS, bilateralFilteringSigmaR));
//LOGD("Bilateral filtering, time=%fs", t.ticks());
}
// Rotate image depending on the camera orientation
if(colorCameraToDisplayRotation_ == ROTATION_90)
{
UDEBUG("ROTATION_90");
cv::Mat rgb, depth;
cv::Mat rgbt(data_.imageRaw().cols, data_.imageRaw().rows, data_.imageRaw().type());
cv::flip(data_.imageRaw(),rgb,1);
cv::transpose(rgb,rgbt);
rgb = rgbt;
cv::Mat deptht(data_.depthRaw().cols, data_.depthRaw().rows, data_.depthRaw().type());
cv::flip(data_.depthRaw(),depth,1);
cv::transpose(depth,deptht);
depth = deptht;
CameraModel model = data_.cameraModels()[0];
cv::Size sizet(model.imageHeight(), model.imageWidth());
model = CameraModel(
model.fy(),
model.fx(),
model.cy(),
model.cx()>0?model.imageWidth()-model.cx():0,
model.localTransform()*rtabmap::Transform(0,-1,0,0, 1,0,0,0, 0,0,1,0));
model.setImageSize(sizet);
data_.setRGBDImage(rgb, depth, model);
std::vector<cv::KeyPoint> keypoints = data_.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = data_.keypoints()[i].pt.y;
keypoints[i].pt.y = rgb.rows - data_.keypoints()[i].pt.x;
}
data_.setFeatures(keypoints, data_.keypoints3D(), cv::Mat());
}
else if(colorCameraToDisplayRotation_ == ROTATION_180)
{
UDEBUG("ROTATION_180");
cv::Mat rgb, depth;
cv::flip(data_.imageRaw(),rgb,1);
cv::flip(rgb,rgb,0);
cv::flip(data_.depthOrRightRaw(),depth,1);
cv::flip(depth,depth,0);
CameraModel model = data_.cameraModels()[0];
cv::Size sizet(model.imageWidth(), model.imageHeight());
model = CameraModel(
model.fx(),
model.fy(),
model.cx()>0?model.imageWidth()-model.cx():0,
model.cy()>0?model.imageHeight()-model.cy():0,
model.localTransform()*rtabmap::Transform(0,0,0,0,0,1,0));
model.setImageSize(sizet);
data_.setRGBDImage(rgb, depth, model);
std::vector<cv::KeyPoint> keypoints = data_.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = rgb.cols - data_.keypoints()[i].pt.x;
keypoints[i].pt.y = rgb.rows - data_.keypoints()[i].pt.y;
}
data_.setFeatures(keypoints, data_.keypoints3D(), cv::Mat());
}
else if(colorCameraToDisplayRotation_ == ROTATION_270)
{
UDEBUG("ROTATION_270");
cv::Mat rgb(data_.imageRaw().cols, data_.imageRaw().rows, data_.imageRaw().type());
cv::transpose(data_.imageRaw(),rgb);
cv::flip(rgb,rgb,1);
cv::Mat depth(data_.depthOrRightRaw().cols, data_.depthOrRightRaw().rows, data_.depthOrRightRaw().type());
cv::transpose(data_.depthOrRightRaw(),depth);
cv::flip(depth,depth,1);
CameraModel model = data_.cameraModels()[0];
cv::Size sizet(model.imageHeight(), model.imageWidth());
model = CameraModel(
model.fy(),
model.fx(),
model.cy()>0?model.imageHeight()-model.cy():0,
model.cx(),
model.localTransform()*rtabmap::Transform(0,1,0,0, -1,0,0,0, 0,0,1,0));
model.setImageSize(sizet);
data_.setRGBDImage(rgb, depth, model);
std::vector<cv::KeyPoint> keypoints = data_.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = rgb.cols - data_.keypoints()[i].pt.y;
keypoints[i].pt.y = data_.keypoints()[i].pt.x;
}
data_.setFeatures(keypoints, data_.keypoints3D(), cv::Mat());
}
{
// adjust origin
if(!originOffset_.isNull())
{
dataPose_ = originOffset_ * dataPose_;
viewMatrix_ = glm::inverse(rtabmap::glmFromTransform(rtabmap::opengl_world_T_rtabmap_world * originOffset_ *rtabmap::rtabmap_world_T_opengl_world)*glm::inverse(viewMatrix_));
occlusionModel_.setLocalTransform(originOffset_ * occlusionModel_.localTransform());
}
if(lastKnownGPS_.stamp() > 0.0 && data_.stamp()-lastKnownGPS_.stamp()<1.0)
{
data_.setGPS(lastKnownGPS_);
}
else if(lastKnownGPS_.stamp()>0.0)
{
LOGD("GPS too old (current time=%f, gps time = %f)", data_.stamp(), lastKnownGPS_.stamp());
}
if(lastEnvSensors_.size())
{
data_.setEnvSensors(lastEnvSensors_);
lastEnvSensors_.clear();
}
// Rotate image depending on the camera orientation
if(colorCameraToDisplayRotation_ == ROTATION_90)
{
UDEBUG("ROTATION_90");
cv::Mat rgb, depth, confidence;
cv::Mat rgbt;
cv::flip(data_.imageRaw(),rgb,1);
cv::transpose(rgb,rgbt);
rgb = rgbt;
cv::Mat deptht;
cv::flip(data_.depthRaw(),depth,1);
cv::transpose(depth,deptht);
depth = deptht;
if(!data_.depthConfidenceRaw().empty()) {
cv::Mat conft;
cv::flip(data_.depthConfidenceRaw(),confidence,1);
cv::transpose(confidence,conft);
confidence = conft;
}
CameraModel model = data_.cameraModels()[0];
cv::Size sizet(model.imageHeight(), model.imageWidth());
model = CameraModel(
model.fy(),
model.fx(),
model.cy(),
model.cx()>0?model.imageWidth()-model.cx():0,
model.localTransform()*rtabmap::Transform(0,-1,0,0, 1,0,0,0, 0,0,1,0));
model.setImageSize(sizet);
data_.setRGBDImage(rgb, depth, confidence, model);
std::vector<cv::KeyPoint> keypoints = data_.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = data_.keypoints()[i].pt.y;
keypoints[i].pt.y = rgb.rows - data_.keypoints()[i].pt.x;
}
data_.setFeatures(keypoints, data_.keypoints3D(), cv::Mat());
}
else if(colorCameraToDisplayRotation_ == ROTATION_180)
{
UDEBUG("ROTATION_180");
cv::Mat rgb, depth, confidence;
cv::flip(data_.imageRaw(),rgb,1);
cv::flip(rgb,rgb,0);
cv::flip(data_.depthOrRightRaw(),depth,1);
cv::flip(depth,depth,0);
if(!data_.depthConfidenceRaw().empty()) {
cv::flip(data_.depthConfidenceRaw(),confidence,1);
cv::flip(confidence,confidence,0);
}
CameraModel model = data_.cameraModels()[0];
cv::Size sizet(model.imageWidth(), model.imageHeight());
model = CameraModel(
model.fx(),
model.fy(),
model.cx()>0?model.imageWidth()-model.cx():0,
model.cy()>0?model.imageHeight()-model.cy():0,
model.localTransform()*rtabmap::Transform(0,0,0,0,0,1,0));
model.setImageSize(sizet);
data_.setRGBDImage(rgb, depth, confidence, model);
std::vector<cv::KeyPoint> keypoints = data_.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = rgb.cols - data_.keypoints()[i].pt.x;
keypoints[i].pt.y = rgb.rows - data_.keypoints()[i].pt.y;
}
data_.setFeatures(keypoints, data_.keypoints3D(), cv::Mat());
}
else if(colorCameraToDisplayRotation_ == ROTATION_270)
{
UDEBUG("ROTATION_270");
cv::Mat rgb, depth, confidence;
cv::transpose(data_.imageRaw(),rgb);
cv::flip(rgb,rgb,1);
cv::transpose(data_.depthOrRightRaw(),depth);
cv::flip(depth,depth,1);
if(!data_.depthConfidenceRaw().empty()) {
cv::transpose(data_.depthConfidenceRaw(),confidence);
cv::flip(confidence,confidence,1);
}
CameraModel model = data_.cameraModels()[0];
cv::Size sizet(model.imageHeight(), model.imageWidth());
model = CameraModel(
model.fy(),
model.fx(),
model.cy()>0?model.imageHeight()-model.cy():0,
model.cx(),
model.localTransform()*rtabmap::Transform(0,1,0,0, -1,0,0,0, 0,0,1,0));
model.setImageSize(sizet);
data_.setRGBDImage(rgb, depth, confidence, model);
std::vector<cv::KeyPoint> keypoints = data_.keypoints();
for(size_t i=0; i<keypoints.size(); ++i)
{
keypoints[i].pt.x = rgb.cols - data_.keypoints()[i].pt.y;
keypoints[i].pt.y = data_.keypoints()[i].pt.x;
}
data_.setFeatures(keypoints, data_.keypoints3D(), cv::Mat());
}
else
{
UDEBUG("ROTATION_0");
}
}
}
+1 -6
View File
@@ -70,9 +70,6 @@ private:
class CameraMobile : public Camera, public UEventsSender {
public:
static const float bilateralFilteringSigmaS;
static const float bilateralFilteringSigmaR;
static const rtabmap::Transform opticalRotation;
static const rtabmap::Transform opticalRotationInv;
@@ -87,7 +84,7 @@ public:
int kptsSize = 3);
public:
CameraMobile(bool smoothing = false, float upstreamRelocalizationAccThr = 0.0f);
CameraMobile(float upstreamRelocalizationAccThr = 0.0f);
virtual ~CameraMobile();
// abstract functions
@@ -110,7 +107,6 @@ public:
const CameraModel & getCameraModel() const {return model_;}
const Transform & getDeviceTColorCamera() const {return deviceTColorCamera_;}
void setSmoothing(bool enabled) {smoothing_ = enabled;}
virtual void setScreenRotationAndSize(ScreenRotation colorCameraToDisplayRotation, int width, int height) {colorCameraToDisplayRotation_ = colorCameraToDisplayRotation;}
void setGPS(const GPS & gps);
void addEnvSensor(int type, float value);
@@ -144,7 +140,6 @@ protected:
private:
bool firstFrame_;
double stampEpochOffset_;
bool smoothing_;
ScreenRotation colorCameraToDisplayRotation_;
GPS lastKnownGPS_;
EnvSensors lastEnvSensors_;
+1 -2
View File
@@ -114,8 +114,7 @@ void onTangoEventAvailableRouter(void* context, const TangoEvent* event)
//////////////////////////////
// CameraTango
//////////////////////////////
CameraTango::CameraTango(bool colorCamera, int decimation, bool publishRawScan, bool smoothing) :
CameraMobile(smoothing),
CameraTango::CameraTango(bool colorCamera, int decimation, bool publishRawScan) :
tango_config_(0),
colorCamera_(colorCamera),
decimation_(decimation),
+1 -1
View File
@@ -45,7 +45,7 @@ namespace rtabmap {
class CameraTango : public CameraMobile {
public:
CameraTango(bool colorCamera, int decimation, bool publishRawScan, bool smoothing);
CameraTango(bool colorCamera, int decimation, bool publishRawScan);
virtual ~CameraTango();
virtual bool init(const std::string & calibrationFolder = ".", const std::string & cameraName = "");
+169 -55
View File
@@ -84,6 +84,9 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
const int g_optMeshId = -100;
const float g_bilateralFilteringSigmaS = 2.0f;
const float g_bilateralFilteringSigmaR = 0.075f;
#ifdef __ANDROID__
static JavaVM *jvm;
static jobject RTABMapActivity = 0;
@@ -230,6 +233,7 @@ RTABMapApp::RTABMapApp() :
trajectoryMode_(false),
rawScanSaved_(false),
smoothing_(true),
depthBleedingError_(0.0f),
depthFromMotion_(false),
cameraColor_(true),
fullResolution_(false),
@@ -245,7 +249,11 @@ RTABMapApp::RTABMapApp() :
maxGainRadius_(0.02f),
renderingTextureDecimation_(4),
backgroundColor_(0.2f),
depthConfidence_(2),
#ifndef RTABMAP_ARCORE
depthConfidence_(100), // iOS
#else
depthConfidence_(0),
#endif
upstreamRelocalizationMaxAcc_(0.0f),
exportPointCloudFormat_("ply"),
dataRecorderMode_(false),
@@ -266,20 +274,20 @@ RTABMapApp::RTABMapApp() :
lastPoseEventTime_(0.0),
visualizingMesh_(false),
exportedMeshUpdated_(false),
optTextureMesh_(new pcl::TextureMesh),
optRefId_(0),
optRefPose_(0),
measuresUpdated_(false),
targetPoint_(new pcl::PointCloud<pcl::PointXYZRGB>),
quadSample_(new pcl::PointCloud<pcl::PointXYZ>),
quadSamplePolygons_(2),
metricSystem_(true),
metricSystem_(true),
measuringTextSize_(0.05f),
snapAxisThr_(0.95),
measuringMode_(0),
addMeasureClicked_(false),
teleportClicked_(false),
removeMeasureClicked_(false),
optTextureMesh_(new pcl::TextureMesh),
optRefId_(0),
optRefPose_(0),
targetPoint_(new pcl::PointCloud<pcl::PointXYZRGB>),
quadSample_(new pcl::PointCloud<pcl::PointXYZ>),
quadSamplePolygons_(2),
mapToOdom_(rtabmap::Transform::getIdentity())
{
@@ -461,7 +469,13 @@ int RTABMapApp::openDatabase(const std::string & databasePath, bool databaseInMe
LOGI("Open: Found optimized mesh! Visualizing it.");
optTextureMesh_ = rtabmap::util3d::assembleTextureMesh(cloudMat, polygons, texCoords, textures, true);
optMesh_ = rtabmap::Mesh();
optTexture_ = textures;
if(textures.rows > 4096) // Limitation iOS, just for rendering on device
{
cv::resize(textures, optTexture_, cv::Size(4096, 4096), 0.0f, 0.0f, cv::INTER_AREA);
}
else {
optTexture_ = textures;
}
if(!optTexture_.empty())
{
LOGI("Open: Texture mesh: %dx%d.", optTexture_.cols, optTexture_.rows);
@@ -569,8 +583,8 @@ int RTABMapApp::openDatabase(const std::string & databasePath, bool databaseInMe
rtabmap::SensorData data = signatures.at(id).sensorData();
rawPoses_.insert(std::make_pair(id, signatures.at(id).getPose()));
cv::Mat tmpA, depth;
data.uncompressData(&tmpA, &depth);
cv::Mat tmpA, tmpB, tmpC;
data.uncompressData(&tmpA, &tmpB, 0, 0, 0, 0, 0, depthConfidence_>0?&tmpC:0);
if(!(!data.imageRaw().empty() && !data.depthRaw().empty()) && !data.laserScanCompressed().isEmpty())
{
@@ -586,8 +600,30 @@ int RTABMapApp::openDatabase(const std::string & databasePath, bool databaseInMe
if(!data.imageRaw().empty() && !data.depthRaw().empty() && (!useExternalLidar_ || data.laserScanRaw().isEmpty()))
{
int meshDecimation = updateMeshDecimation(data.depthRaw().cols, data.depthRaw().rows);
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, meshDecimation, maxCloudDepth_, minCloudDepth_, indices.get());
if(smoothing_ || depthBleedingError_>0.0f)
{
cv::Mat depth = data.depthRaw();
if(depthBleedingError_ > 0.0f)
{
rtabmap::util2d::depthBleedingFiltering(depth, depthBleedingError_);
}
if(smoothing_)
{
depth = rtabmap::util2d::fastBilateralFiltering(depth, g_bilateralFilteringSigmaS, g_bilateralFilteringSigmaR);
}
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
cloud = rtabmap::util3d::cloudRGBFromSensorData(
data,
meshDecimation,
maxCloudDepth_,
minCloudDepth_,
indices.get(),
rtabmap::ParametersMap(),
std::vector<float>(),
depthConfidence_);
}
else
{
@@ -875,11 +911,11 @@ int RTABMapApp::updateMeshDecimation(int width, int height)
{
meshDecimation = 5;
}
else if(width % 3 == 0 && width % 3 == 0)
else if(width % 3 == 0 && height % 3 == 0)
{
meshDecimation = 3;
}
else if(width % 2 == 0 && width % 2 == 0)
else if(width % 2 == 0 && height % 2 == 0)
{
meshDecimation = 2;
}
@@ -946,7 +982,7 @@ bool RTABMapApp::startCamera()
if(cameraDriver_ == 0) // Tango
{
#ifdef RTABMAP_TANGO
camera_ = new rtabmap::CameraTango(cameraColor_, !cameraColor_ || fullResolution_?1:2, rawScanSaved_, smoothing_);
camera_ = new rtabmap::CameraTango(cameraColor_, !cameraColor_ || fullResolution_?1:2, rawScanSaved_);
if (TangoService_setBinder(env, iBinder) != TANGO_SUCCESS) {
UERROR("TangoHandler::ConnectTango, TangoService_setBinder error");
@@ -961,7 +997,7 @@ bool RTABMapApp::startCamera()
else if(cameraDriver_ == 1)
{
#ifdef RTABMAP_ARCORE
camera_ = new rtabmap::CameraARCore(env, context, activity, depthFromMotion_, smoothing_, upstreamRelocalizationMaxAcc_);
camera_ = new rtabmap::CameraARCore(env, context, activity, depthFromMotion_, upstreamRelocalizationMaxAcc_);
#else
UERROR("RTAB-Map is not built with ARCore support!");
#endif
@@ -969,14 +1005,14 @@ bool RTABMapApp::startCamera()
else if(cameraDriver_ == 2)
{
#ifdef RTABMAP_ARENGINE
camera_ = new rtabmap::CameraAREngine(env, context, activity, smoothing_, upstreamRelocalizationMaxAcc_);
camera_ = new rtabmap::CameraAREngine(env, context, activity, upstreamRelocalizationMaxAcc_);
#else
UERROR("RTAB-Map is not built with AREngine support!");
#endif
}
else if(cameraDriver_ == 3)
{
camera_ = new rtabmap::CameraMobile(smoothing_, upstreamRelocalizationMaxAcc_);
camera_ = new rtabmap::CameraMobile(upstreamRelocalizationMaxAcc_);
}
if(camera_ == 0)
@@ -1003,7 +1039,11 @@ bool RTABMapApp::startCamera()
cameraJustInitialized_ = true;
if(useExternalLidar_)
{
#if BOOST_VERSION >= 108700
rtabmap::LidarVLP16 * lidar = new rtabmap::LidarVLP16(boost::asio::ip::make_address("192.168.1.201"), 2368, true);
#else
rtabmap::LidarVLP16 * lidar = new rtabmap::LidarVLP16(boost::asio::ip::address_v4::from_string("192.168.1.201"), 2368, true);
#endif
lidar->init();
camera_->setImageRate(0); // if lidar, to get close camera synchronization
sensorCaptureThread_ = new rtabmap::SensorCaptureThread(lidar, camera_, camera_, rtabmap::Transform::getIdentity());
@@ -1354,8 +1394,8 @@ int RTABMapApp::Render()
#ifdef DEBUG_RENDERING_PERFORMANCE
LOGD("Camera updateOnRender %fs", time.ticks());
#endif
// We detect if we are in measuring mode if rtabmap is not running
if(main_scene_.background_renderer_ == 0 && camera_->getTextureId() != 0 && !(rtabmapThread_ == 0 || !rtabmapThread_->isRunning()))
// We check if we are in measuring mode: not visualizing mesh or rtabmap is not started (localization mode)
if(main_scene_.background_renderer_ == 0 && camera_->getTextureId() != 0 && (!visualizingMesh_ || !(rtabmapThread_ == 0 || !rtabmapThread_->isRunning())))
{
main_scene_.background_renderer_ = new BackgroundRenderer();
main_scene_.background_renderer_->InitializeGlContent(((rtabmap::CameraMobile*)camera_)->getTextureId(), cameraDriver_ <= 2);
@@ -1536,7 +1576,6 @@ int RTABMapApp::Render()
int textId = 0;
int quadId = 0;
int circleId = 0;
float sphereRadius = 0.02f;
float quadSize=0.05f;
float quadAlpha = 0.3f;
@@ -2010,8 +2049,8 @@ int RTABMapApp::Render()
{
rtabmap::SensorData data = bufferedSensorData.at(id);
cv::Mat tmpA, depth;
data.uncompressData(&tmpA, &depth);
cv::Mat tmpA, tmpB, tmpC;
data.uncompressData(&tmpA, &tmpB, 0, 0, 0, 0, 0, depthConfidence_>0?&tmpC:0);
if(!(!data.imageRaw().empty() && !data.depthRaw().empty()) && !data.laserScanCompressed().isEmpty())
{
rtabmap::LaserScan scan;
@@ -2029,7 +2068,20 @@ int RTABMapApp::Render()
if(!data.imageRaw().empty() && !data.depthRaw().empty() && (!useExternalLidar_ || data.laserScanRaw().isEmpty()))
{
int meshDecimation = updateMeshDecimation(data.depthRaw().cols, data.depthRaw().rows);
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, meshDecimation, maxCloudDepth_, minCloudDepth_, indices.get());
if(smoothing_ || depthBleedingError_>0.0f)
{
cv::Mat depth = data.depthRaw();
if(depthBleedingError_ > 0.0f)
{
rtabmap::util2d::depthBleedingFiltering(depth, depthBleedingError_);
}
if(smoothing_)
{
depth = rtabmap::util2d::fastBilateralFiltering(depth, g_bilateralFilteringSigmaS, g_bilateralFilteringSigmaR);
}
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, meshDecimation, maxCloudDepth_, minCloudDepth_, indices.get(), rtabmap::ParametersMap(), std::vector<float>(), depthConfidence_);
}
else
{
@@ -2245,7 +2297,7 @@ int RTABMapApp::Render()
if(!sensorEvent.data().imageRaw().empty() && !sensorEvent.data().depthRaw().empty() && (!useExternalLidar_ || sensorEvent.data().laserScanRaw().isEmpty()))
{
int meshDecimation = updateMeshDecimation(sensorEvent.data().depthRaw().cols, sensorEvent.data().depthRaw().rows);
cloud = rtabmap::util3d::cloudRGBFromSensorData(sensorEvent.data(), meshDecimation, maxCloudDepth_, minCloudDepth_, indices.get());
cloud = rtabmap::util3d::cloudRGBFromSensorData(sensorEvent.data(), meshDecimation, maxCloudDepth_, minCloudDepth_, indices.get(), rtabmap::ParametersMap(), std::vector<float>(), depthConfidence_);
}
else
{
@@ -3015,6 +3067,11 @@ void RTABMapApp::setSmoothing(bool enabled)
}
}
void RTABMapApp::setDepthBleedingError(float value)
{
depthBleedingError_ = value;
}
void RTABMapApp::setDepthFromMotion(bool enabled)
{
if(depthFromMotion_ != enabled)
@@ -3107,10 +3164,10 @@ void RTABMapApp::setBackgroundColor(float gray)
void RTABMapApp::setDepthConfidence(int value)
{
depthConfidence_ = value;
if(depthConfidence_>2)
depthConfidence_ = value*50; // [0,2] -> [0,100]
if(depthConfidence_>100)
{
depthConfidence_ = 2;
depthConfidence_ = 100;
}
}
@@ -3410,6 +3467,19 @@ bool RTABMapApp::exportMesh(
if(!data.imageRaw().empty() && !data.depthRaw().empty() && data.cameraModels().size() == 1)
{
int meshDecimation = updateMeshDecimation(data.depthRaw().cols, data.depthRaw().rows);
if(smoothing_ || depthBleedingError_>0.0f)
{
cv::Mat depth = data.depthRaw();
if(depthBleedingError_ > 0.0f)
{
rtabmap::util2d::depthBleedingFiltering(depth, depthBleedingError_);
}
if(smoothing_)
{
depth = rtabmap::util2d::fastBilateralFiltering(depth, g_bilateralFilteringSigmaS, g_bilateralFilteringSigmaR);
}
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, meshDecimation, maxCloudDepth_, minCloudDepth_, indices.get());
model = data.cameraModels()[0];
depth = data.depthRaw();
@@ -3677,7 +3747,20 @@ bool RTABMapApp::exportMesh(
if(!data.imageRaw().empty() && !data.depthRaw().empty() && data.cameraModels().size() == 1)
{
int meshDecimation = updateMeshDecimation(data.depthRaw().cols, data.depthRaw().rows);
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, meshDecimation, maxCloudDepth_, minCloudDepth_);
if(smoothing_ || depthBleedingError_>0.0f)
{
cv::Mat depth = data.depthRaw();
if(depthBleedingError_ > 0.0f)
{
rtabmap::util2d::depthBleedingFiltering(depth, depthBleedingError_);
}
if(smoothing_)
{
depth = rtabmap::util2d::fastBilateralFiltering(depth, g_bilateralFilteringSigmaS, g_bilateralFilteringSigmaR);
}
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, meshDecimation, maxCloudDepth_, minCloudDepth_, 0, rtabmap::ParametersMap(), std::vector<float>(), depthConfidence_);
polygons = rtabmap::util3d::organizedFastMesh(cloud, meshAngleToleranceDeg_*M_PI/180.0, false, meshTrianglePix_);
}
}
@@ -3935,7 +4018,20 @@ bool RTABMapApp::exportMesh(
if(!data.imageRaw().empty() && !data.depthRaw().empty())
{
// full resolution
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, 1, maxCloudDepth_, minCloudDepth_, indices.get());
if(smoothing_ || depthBleedingError_>0.0f)
{
cv::Mat depth = data.depthRaw();
if(depthBleedingError_ > 0.0f)
{
rtabmap::util2d::depthBleedingFiltering(depth, depthBleedingError_);
}
if(smoothing_)
{
depth = rtabmap::util2d::fastBilateralFiltering(depth, g_bilateralFilteringSigmaS, g_bilateralFilteringSigmaR);
}
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, 1, maxCloudDepth_, minCloudDepth_, indices.get(), rtabmap::ParametersMap(), std::vector<float>(), depthConfidence_);
}
else if(!data.laserScanRaw().empty())
{
@@ -3965,7 +4061,20 @@ bool RTABMapApp::exportMesh(
if(!data.imageRaw().empty() && !data.depthRaw().empty())
{
int meshDecimation = updateMeshDecimation(data.depthRaw().cols, data.depthRaw().rows);
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, meshDecimation, maxCloudDepth_, minCloudDepth_, indices.get());
if(smoothing_ || depthBleedingError_>0.0f)
{
cv::Mat depth = data.depthRaw();
if(depthBleedingError_ > 0.0f)
{
rtabmap::util2d::depthBleedingFiltering(depth, depthBleedingError_);
}
if(smoothing_)
{
depth = rtabmap::util2d::fastBilateralFiltering(depth, g_bilateralFilteringSigmaS, g_bilateralFilteringSigmaR);
}
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
cloud = rtabmap::util3d::cloudRGBFromSensorData(data, meshDecimation, maxCloudDepth_, minCloudDepth_, indices.get(), rtabmap::ParametersMap(), std::vector<float>(), depthConfidence_);
}
else if(!data.laserScanRaw().empty())
{
@@ -4117,7 +4226,13 @@ bool RTABMapApp::postExportation(bool visualize)
LOGI("postExportation: Found optimized mesh! Visualizing it.");
optTextureMesh_ = rtabmap::util3d::assembleTextureMesh(cloudMat, polygons, texCoords, textures, true);
optMesh_ = rtabmap::Mesh();
optTexture_ = textures;
if(textures.rows > 4096) // Limitation iOS, just for rendering on device
{
cv::resize(textures, optTexture_, cv::Size(4096, 4096), 0.0f, 0.0f, cv::INTER_AREA);
}
else {
optTexture_ = textures;
}
boost::mutex::scoped_lock lock(renderingMutex_);
visualizingMesh_ = true;
@@ -4524,6 +4639,7 @@ void RTABMapApp::postOdometryEvent(
cv::Mat outputDepth;
cv::Mat outputDepthConfidence;
if(depth && depthHeight>0 && depthWidth>0)
{
#ifndef DISABLE_LOG
@@ -4533,32 +4649,21 @@ void RTABMapApp::postOdometryEvent(
{
// IOS
outputDepth = cv::Mat(depthHeight, depthWidth, CV_32FC1, (void*)depth).clone();
if(conf && confWidth == depthWidth && confHeight == depthHeight && confFormat == 1278226488 && depthConfidence_>0)
if(conf && confWidth == depthWidth && confHeight == depthHeight && confFormat == 1278226488)
{
const unsigned char * confPtr = (const unsigned char *)conf;
float * depthPtr = outputDepth.ptr<float>();
int i=0;
for (int y = 0; y < outputDepth.rows; ++y)
{
for (int x = 0; x < outputDepth.cols; ++x)
{
// https://developer.apple.com/documentation/arkit/arconfidencelevel
// 0 = low
// 1 = medium
// 2 = high
if(confPtr[y*outputDepth.cols + x] < depthConfidence_)
{
depthPtr[y*outputDepth.cols + x] = 0.0f;
++i;
}
}
}
// https://developer.apple.com/documentation/arkit/arconfidencelevel
// 0 = low
// 1 = medium
// 2 = high
// Re-scale confidence from [0,2] to [0,100]
cv::Mat(depthHeight, depthWidth, CV_8UC1, (void*)conf).convertTo(outputDepthConfidence, CV_8UC1, 50, 0);
}
}
else if(depthLen == 2*depthWidth*depthHeight)
{
// ANDROID
outputDepth = cv::Mat(depthHeight, depthWidth, CV_16UC1);
outputDepthConfidence = cv::Mat(depthHeight, depthWidth, CV_8UC1);
uint16_t *dataShort = (uint16_t *)depth;
for (int y = 0; y < outputDepth.rows; ++y)
{
@@ -4567,6 +4672,13 @@ void RTABMapApp::postOdometryEvent(
uint16_t depthSample = dataShort[y*outputDepth.cols + x];
uint16_t depthRange = (depthSample & 0x1FFF); // first 3 bits are confidence
outputDepth.at<uint16_t>(y,x) = depthRange;
// https://developer.android.com/reference/android/graphics/ImageFormat#DEPTH16
// The confidence value is an estimate of correctness for this sample. It
// is encoded in the 3 most significant bits of the sample, with a value of
// 0 representing 100% confidence, a value of 1 representing 0% confidence, a
// value of 2 representing 1/7, a value of 3 representing 2/7, and so on.
uint8_t depthConfidence = uint8_t((depthSample >> 13) & 0x7);
outputDepthConfidence.at<uint8_t>(y,x) = depthConfidence == 0 ? 100 : (depthConfidence - 1)*100 / 7;
}
}
}
@@ -4626,7 +4738,9 @@ void RTABMapApp::postOdometryEvent(
depth_fx, 0, depth_cx,
0, depth_fy, depth_cy,
0, 0, 1);
outputDepth = rtabmap::util2d::registerDepth(outputDepth, depthK, outputDepth.size(), colorK, rgbToDepth);
cv::Mat regConfidence;
outputDepth = rtabmap::util2d::registerDepth(outputDepth, outputDepthConfidence, depthK, outputDepth.size(), colorK, rgbToDepth, regConfidence);
outputDepthConfidence = regConfidence;
#ifndef DISABLE_LOG
UDEBUG("Depth registration time: %fs", time.elapsed());
#endif
@@ -4666,8 +4780,8 @@ void RTABMapApp::postOdometryEvent(
depthModel.setLocalTransform(pose*model.localTransform());
camera_->setOcclusionImage(outputDepth, depthModel);
}
rtabmap::SensorData data(scan, outputRGB, outputDepth, model, 0, stamp);
rtabmap::SensorData data(scan, outputRGB, outputDepth, outputDepthConfidence, model, 0, stamp);
data.setFeatures(kpts, kpts3, cv::Mat());
glm::mat4 projectionMatrix(0);
projectionMatrix[0][0] = p00;
+3 -1
View File
@@ -139,6 +139,7 @@ class RTABMapApp : public UEventsHandler {
void setCameraColor(bool enabled);
void setFullResolution(bool enabled);
void setSmoothing(bool enabled);
void setDepthBleedingError(float value);
void setDepthFromMotion(bool enabled);
void setAppendMode(bool enabled);
void setUpstreamRelocalizationAccThr(float value);
@@ -235,6 +236,7 @@ class RTABMapApp : public UEventsHandler {
bool trajectoryMode_;
bool rawScanSaved_;
bool smoothing_;
float depthBleedingError_;
bool depthFromMotion_;
bool cameraColor_;
bool fullResolution_;
@@ -250,7 +252,7 @@ class RTABMapApp : public UEventsHandler {
float maxGainRadius_;
int renderingTextureDecimation_;
float backgroundColor_;
int depthConfidence_;
unsigned char depthConfidence_;
float upstreamRelocalizationMaxAcc_;
std::string exportPointCloudFormat_;
+13
View File
@@ -512,6 +512,19 @@ Java_com_introlab_rtabmap_RTABMapLib_setSmoothing(
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setDepthBleedingError(
JNIEnv*, jclass, jlong native_application, float value)
{
if(native_application)
{
return native(native_application)->setDepthBleedingError(value);
}
else
{
UERROR("native_application is null!");
}
}
JNIEXPORT void JNICALL
Java_com_introlab_rtabmap_RTABMapLib_setDepthFromMotion(
JNIEnv*, jclass, jlong native_application, bool enabled)
{
@@ -114,6 +114,13 @@
android:title="@string/pref_title_smoothing"
android:summary="@string/pref_summary_smoothing"
android:defaultValue="@string/pref_default_smoothing"/>
<ListPreference
android:key="@string/pref_key_depth_bleeding_error"
android:title="@string/pref_title_depth_bleeding_error"
android:summary="@string/pref_summary_depth_bleeding_error"
android:entries="@array/pref_depth_bleeding_error_keys"
android:entryValues="@array/pref_depth_bleeding_error_values"
android:defaultValue="@string/pref_default_depth_bleeding_error"/>
<com.introlab.rtabmap.CustomSwitchPreference
android:key="@string/pref_key_fisheye"
android:title="@string/pref_title_fisheye"
+24
View File
@@ -76,6 +76,8 @@
<string name="pref_default_resolution">false</string>
<string name="pref_key_smoothing">pref_key_smoothing</string>
<string name="pref_default_smoothing">false</string>
<string name="pref_key_depth_bleeding_error">pref_key_depth_bleeding_error</string>
<string name="pref_default_depth_bleeding_error">0.0</string>
<string name="pref_key_fisheye">pref_key_fisheye</string>
<string name="pref_default_fisheye">false</string>
@@ -337,6 +339,8 @@
<string name="pref_summary_resolution">Save HD images of the color camera if you want very detailed textures. More memory will be required.</string>
<string name="pref_title_smoothing">Smoothing</string>
<string name="pref_summary_smoothing">Smooth the point clouds.</string>
<string name="pref_title_depth_bleeding_error">Depth Bleeding Filtering Error</string>
<string name="pref_summary_depth_bleeding_error">Filter noisy depth points on the edges.</string>
<string name="pref_title_fisheye">Fish Eye Camera</string>
<string name="pref_summary_fisheye">Use fish eye camera instead of the color camera. May not work on some devices.</string>
<string name="pref_title_update_rate">Update Rate</string>
@@ -436,6 +440,26 @@
<item>"29.41995"</item>
<item>"19.6133"</item>
</string-array>
<string-array name="pref_depth_bleeding_error_keys">
<item>"Disabled"</item>
<item>"2.5 cm"</item>
<item>"5 cm"</item>
<item>"10 cm"</item>
<item>"15 cm"</item>
<item>"20 cm"</item>
<item>"25 cm"</item>
<item>"30 cm"</item>
</string-array>
<string-array name="pref_depth_bleeding_error_values">
<item>"0"</item>
<item>"0.025"</item>
<item>"0.05"</item>
<item>"0.10"</item>
<item>"0.15"</item>
<item>"0.20"</item>
<item>"0.25"</item>
<item>"0.30"</item>
</string-array>
<string-array name="pref_max_speed_keys">
<item>"No Limit"</item>
<item>"High"</item>
@@ -1140,6 +1140,7 @@ public class RTABMapActivity extends FragmentActivity implements OnClickListener
RTABMapLib.setRawScanSaved(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_raw_scan_saved), Boolean.parseBoolean(getString(R.string.pref_default_raw_scan_saved))));
RTABMapLib.setFullResolution(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_resolution), Boolean.parseBoolean(getString(R.string.pref_default_resolution))));
RTABMapLib.setSmoothing(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_smoothing), Boolean.parseBoolean(getString(R.string.pref_default_smoothing))));
RTABMapLib.setDepthBleedingError(nativeApplication, Float.parseFloat(sharedPref.getString(getString(R.string.pref_key_depth_bleeding_error), getString(R.string.pref_default_depth_bleeding_error))));
RTABMapLib.setDepthFromMotion(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_depth_from_motion), Boolean.parseBoolean(getString(R.string.pref_default_depth_from_motion))));
RTABMapLib.setCameraColor(nativeApplication, !sharedPref.getBoolean(getString(R.string.pref_key_fisheye), Boolean.parseBoolean(getString(R.string.pref_default_fisheye))));
RTABMapLib.setAppendMode(nativeApplication, sharedPref.getBoolean(getString(R.string.pref_key_append), Boolean.parseBoolean(getString(R.string.pref_default_append))));
@@ -73,6 +73,7 @@ public class RTABMapLib
public static native void setRawScanSaved(long nativeApplication, boolean enabled);
public static native void setFullResolution(long nativeApplication, boolean enabled);
public static native void setSmoothing(long nativeApplication, boolean enabled);
public static native void setDepthBleedingError(long nativeApplication, float value);
public static native void setDepthFromMotion(long nativeApplication, boolean enabled);
public static native void setCameraColor(long nativeApplication, boolean enabled);
public static native void setAppendMode(long nativeApplication, boolean enabled);
@@ -222,7 +222,8 @@ public class SettingsActivity extends PreferenceActivity implements OnSharedPref
((Preference)findPreference(getString(R.string.pref_key_background_color))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_background_color))).getEntry() + ") "+getString(R.string.pref_summary_background_color));
((Preference)findPreference(getString(R.string.pref_key_rendering_texture_decimation))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_rendering_texture_decimation))).getEntry() + ") "+getString(R.string.pref_summary_rendering_texture_decimation));
((Preference)findPreference(getString(R.string.pref_key_arcore_relocalization_acc_thr))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_arcore_relocalization_acc_thr))).getEntry() + ") "+getString(R.string.pref_summary_arcore_relocalization_acc_thr));
((Preference)findPreference(getString(R.string.pref_key_depth_bleeding_error))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_depth_bleeding_error))).getEntry() + ") "+getString(R.string.pref_summary_depth_bleeding_error));
((Preference)findPreference(getString(R.string.pref_key_arcore_relocalization_acc_thr))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_arcore_relocalization_acc_thr))).getEntry() + ") "+getString(R.string.pref_summary_arcore_relocalization_acc_thr));
((Preference)findPreference(getString(R.string.pref_key_update_rate))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_update_rate))).getEntry() + ") "+getString(R.string.pref_summary_update_rate));
((Preference)findPreference(getString(R.string.pref_key_max_speed))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_max_speed))).getEntry() + ") "+getString(R.string.pref_summary_max_speed));
((Preference)findPreference(getString(R.string.pref_key_time_thr))).setSummary("("+((ListPreference)findPreference(getString(R.string.pref_key_time_thr))).getEntry() + ") "+getString(R.string.pref_summary_time_thr));
@@ -285,7 +286,8 @@ public class SettingsActivity extends PreferenceActivity implements OnSharedPref
if(key.compareTo(getString(R.string.pref_key_background_color))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_background_color));
if(key.compareTo(getString(R.string.pref_key_rendering_texture_decimation))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_rendering_texture_decimation));
if(key.compareTo(getString(R.string.pref_key_arcore_relocalization_acc_thr))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_arcore_relocalization_acc_thr));
if(key.compareTo(getString(R.string.pref_key_depth_bleeding_error))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_depth_bleeding_error));
if(key.compareTo(getString(R.string.pref_key_arcore_relocalization_acc_thr))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_arcore_relocalization_acc_thr));
if(key.compareTo(getString(R.string.pref_key_update_rate))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_update_rate));
if(key.compareTo(getString(R.string.pref_key_max_speed))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_max_speed));
if(key.compareTo(getString(R.string.pref_key_time_thr))==0) pref.setSummary("("+((ListPreference)pref).getEntry() + ") "+getString(R.string.pref_summary_time_thr));
+245 -213
View File
@@ -8,49 +8,90 @@
/* Begin PBXBuildFile section */
4E0D83832621F52C00C879AC /* Settings.bundle in Resources */ = {isa = PBXBuildFile; fileRef = 4E0D83822621F52C00C879AC /* Settings.bundle */; };
4E10D89C2DE409870015926D /* librtabmap_core.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB0259D5BE500575D88 /* librtabmap_core.a */; };
4E10D89D2DE409870015926D /* librtabmap_utilite.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EAF259D5BE500575D88 /* librtabmap_utilite.a */; };
4E10D89E2DE409A60015926D /* libopencv_xfeatures2d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED9259D5BFC00575D88 /* libopencv_xfeatures2d.a */; };
4E10D89F2DE409B20015926D /* libopencv_video.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB4259D5BFB00575D88 /* libopencv_video.a */; };
4E10D8A02DE409BB0015926D /* libopencv_tracking.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ECC259D5BFC00575D88 /* libopencv_tracking.a */; };
4E10D8A12DE409C00015926D /* libopencv_optflow.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC3259D5BFC00575D88 /* libopencv_optflow.a */; };
4E10D8A22DE409C70015926D /* libopencv_imgproc.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBE259D5BFC00575D88 /* libopencv_imgproc.a */; };
4E10D8A32DE409CA0015926D /* libopencv_features2d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB8259D5BFB00575D88 /* libopencv_features2d.a */; };
4E10D8A42DE409CE0015926D /* libopencv_core.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED1259D5BFC00575D88 /* libopencv_core.a */; };
4E10D8A52DE409D10015926D /* libopencv_calib3d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED6259D5BFC00575D88 /* libopencv_calib3d.a */; };
4E10D8A62DE409D50015926D /* libopencv_aruco.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB5259D5BFB00575D88 /* libopencv_aruco.a */; };
4E10D8A72DE409F40015926D /* libopencv_flann.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBC259D5BFB00575D88 /* libopencv_flann.a */; };
4E10D8A82DE40A1B0015926D /* libopencv_ximgproc.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EDC259D5BFC00575D88 /* libopencv_ximgproc.a */; };
4E10D8A92DE40A3A0015926D /* libopencv_photo.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB6259D5BFB00575D88 /* libopencv_photo.a */; };
4E10D8AA2DE40A6C0015926D /* libopencv_objdetect.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBB259D5BFB00575D88 /* libopencv_objdetect.a */; };
4E10D8AB2DE40A8C0015926D /* libopencv_stitching.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBD259D5BFB00575D88 /* libopencv_stitching.a */; };
4E10D8AC2DE40AA20015926D /* libopencv_imgcodecs.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC4259D5BFC00575D88 /* libopencv_imgcodecs.a */; };
4E10D8AD2DE40E990015926D /* libg2o_core.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0D259D5C2200575D88 /* libg2o_core.a */; };
4E10D8AE2DE40E990015926D /* libg2o_solver_dense.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F07259D5C2100575D88 /* libg2o_solver_dense.a */; };
4E10D8AF2DE40E990015926D /* libg2o_solver_eigen.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F12259D5C2200575D88 /* libg2o_solver_eigen.a */; };
4E10D8B02DE40E990015926D /* libg2o_solver_pcg.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0B259D5C2200575D88 /* libg2o_solver_pcg.a */; };
4E10D8B12DE40E990015926D /* libg2o_solver_slam2d_linear.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F09259D5C2100575D88 /* libg2o_solver_slam2d_linear.a */; };
4E10D8B22DE40E990015926D /* libg2o_solver_structure_only.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F11259D5C2200575D88 /* libg2o_solver_structure_only.a */; };
4E10D8B32DE40E990015926D /* libg2o_stuff.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F14259D5C2200575D88 /* libg2o_stuff.a */; };
4E10D8B42DE40E990015926D /* libg2o_types_data.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0C259D5C2200575D88 /* libg2o_types_data.a */; };
4E10D8B52DE40E990015926D /* libg2o_types_icp.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0F259D5C2200575D88 /* libg2o_types_icp.a */; };
4E10D8B62DE40E990015926D /* libg2o_types_sba.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F15259D5C2200575D88 /* libg2o_types_sba.a */; };
4E10D8B72DE40E990015926D /* libg2o_types_sclam2d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F1A259D5C2200575D88 /* libg2o_types_sclam2d.a */; };
4E10D8B82DE40E990015926D /* libg2o_types_sim3.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F1B259D5C2200575D88 /* libg2o_types_sim3.a */; };
4E10D8B92DE40E990015926D /* libg2o_types_slam2d_addons.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F16259D5C2200575D88 /* libg2o_types_slam2d_addons.a */; };
4E10D8BA2DE40E990015926D /* libg2o_types_slam2d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0A259D5C2100575D88 /* libg2o_types_slam2d.a */; };
4E10D8BB2DE40E990015926D /* libg2o_types_slam3d_addons.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F17259D5C2200575D88 /* libg2o_types_slam3d_addons.a */; };
4E10D8BC2DE40E990015926D /* libg2o_types_slam3d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F18259D5C2200575D88 /* libg2o_types_slam3d.a */; };
4E10D8BD2DE40EC70015926D /* libpcl_common.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4D259D4DF100575D88 /* libpcl_common.a */; };
4E10D8BE2DE40EC70015926D /* libpcl_features.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B43259D4DF100575D88 /* libpcl_features.a */; };
4E10D8BF2DE40EC70015926D /* libpcl_filters.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B44259D4DF100575D88 /* libpcl_filters.a */; };
4E10D8C02DE40EC70015926D /* libpcl_io_ply.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4E259D4DF100575D88 /* libpcl_io_ply.a */; };
4E10D8C12DE40EC70015926D /* libpcl_io.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4C259D4DF100575D88 /* libpcl_io.a */; };
4E10D8C22DE40EC70015926D /* libpcl_kdtree.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B46259D4DF100575D88 /* libpcl_kdtree.a */; };
4E10D8C32DE40EC70015926D /* libpcl_keypoints.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B49259D4DF100575D88 /* libpcl_keypoints.a */; };
4E10D8C42DE40EC70015926D /* libpcl_ml.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4F259D4DF100575D88 /* libpcl_ml.a */; };
4E10D8C52DE40EC70015926D /* libpcl_octree.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4B259D4DF100575D88 /* libpcl_octree.a */; };
4E10D8C62DE40EC70015926D /* libpcl_registration.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B42259D4DF100575D88 /* libpcl_registration.a */; };
4E10D8C72DE40EC70015926D /* libpcl_sample_consensus.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B45259D4DF100575D88 /* libpcl_sample_consensus.a */; };
4E10D8C82DE40EC70015926D /* libpcl_search.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B47259D4DF100575D88 /* libpcl_search.a */; };
4E10D8C92DE40EC70015926D /* libpcl_segmentation.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B50259D4DF100575D88 /* libpcl_segmentation.a */; };
4E10D8CA2DE40EC70015926D /* libpcl_stereo.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B41259D4DF100575D88 /* libpcl_stereo.a */; };
4E10D8CB2DE40EC70015926D /* libpcl_surface.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B48259D4DF100575D88 /* libpcl_surface.a */; };
4E10D8CC2DE40EE30015926D /* libgtsam_unstable.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0E259D5C2200575D88 /* libgtsam_unstable.a */; };
4E10D8CD2DE40EE30015926D /* libgtsam.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F1C259D5C2200575D88 /* libgtsam.a */; };
4E10D8CE2DE40EE30015926D /* libmetis-gtsam.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E10D8622DE408EE0015926D /* libmetis-gtsam.a */; };
4E10D8CF2DE40EF90015926D /* libboost_serialization.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B30259D4DE900575D88 /* libboost_serialization.a */; };
4E10D8D02DE40F060015926D /* libboost_timer.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B34259D4DE900575D88 /* libboost_timer.a */; };
4E10D8D12DE40F190015926D /* liblas_c.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E10D8752DE408EF0015926D /* liblas_c.a */; };
4E10D8D22DE40F190015926D /* liblas.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFAA9422CAE4E960055DA51 /* liblas.a */; };
4E10D8D32DE40F190015926D /* liblaszip.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4ED73AD02D7FECF3007899C2 /* liblaszip.a */; };
4E10D8D42DE40F2A0015926D /* libboost_thread.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B33259D4DE900575D88 /* libboost_thread.a */; };
4E10D8E12DE4101B0015926D /* liblibjpeg-turbo.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E10D8D52DE40FBE0015926D /* liblibjpeg-turbo.a */; };
4E10D8E22DE4101B0015926D /* liblibpng.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E10D8D72DE40FCA0015926D /* liblibpng.a */; };
4E1E9CF72D618E69000CB881 /* quad_color.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4E1E9CF62D618079000CB881 /* quad_color.cpp */; };
4E1E9CF82D618E69000CB881 /* text_drawable.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4E1E9CF52D618079000CB881 /* text_drawable.cpp */; };
4E20B24E266AB94300316EE6 /* Images.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 4E20B24D266AB94300316EE6 /* Images.xcassets */; };
4E20B250266AB95600316EE6 /* Images.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 4E20B24F266AB95600316EE6 /* Images.xcassets */; };
4E2C516725A63119005CEDBD /* DatabaseView.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4E2C516525A63119005CEDBD /* DatabaseView.swift */; };
4E2C516825A63119005CEDBD /* VerticalScrollerView.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4E2C516625A63119005CEDBD /* VerticalScrollerView.swift */; };
4E3525542DE4C6E500F39D8F /* libg2o_csparse_extension.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F13259D5C2200575D88 /* libg2o_csparse_extension.a */; };
4E3525552DE4C6E500F39D8F /* libg2o_solver_csparse.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F10259D5C2200575D88 /* libg2o_solver_csparse.a */; };
4E3525572DE4C6E500F39D8F /* libg2o_solver_cholmod.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E3525562DE4C6E500F39D8F /* libg2o_solver_cholmod.a */; };
4E3525592DE4C6F600F39D8F /* libcholmod.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E3525582DE4C6F600F39D8F /* libcholmod.a */; };
4E35255E2DE4C71000F39D8F /* libcxsparse.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E35255A2DE4C71000F39D8F /* libcxsparse.a */; };
4E35255F2DE4C71000F39D8F /* libcolamd.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E35255B2DE4C71000F39D8F /* libcolamd.a */; };
4E3525602DE4C71000F39D8F /* libcamd.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E35255C2DE4C71000F39D8F /* libcamd.a */; };
4E3525612DE4C71000F39D8F /* libccolamd.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E35255D2DE4C71000F39D8F /* libccolamd.a */; };
4E3525642DE4C71C00F39D8F /* libsuitesparseconfig.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E3525622DE4C71C00F39D8F /* libsuitesparseconfig.a */; };
4E3525652DE4C71C00F39D8F /* libspqr.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E3525632DE4C71C00F39D8F /* libspqr.a */; };
4E3525672DE4C72D00F39D8F /* libamd.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4E3525662DE4C72D00F39D8F /* libamd.a */; };
4E8B155426273A580037FC53 /* Zip in Frameworks */ = {isa = PBXBuildFile; productRef = 4E8B155326273A580037FC53 /* Zip */; };
4EB1A66625A0D90B0043C7BF /* RTABMap.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4EB1A66525A0D90B0043C7BF /* RTABMap.swift */; };
4ED73AD12D7FECF3007899C2 /* liblaszip.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4ED73AD02D7FECF3007899C2 /* liblaszip.a */; };
4EE016B3259BE441008CCE65 /* ViewController.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4EE016AF259BE441008CCE65 /* ViewController.swift */; };
4EE016B4259BE441008CCE65 /* SceneDelegate.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4EE016B0259BE441008CCE65 /* SceneDelegate.swift */; };
4EE016B9259BE449008CCE65 /* AppDelegate.swift in Sources */ = {isa = PBXBuildFile; fileRef = 4EE016B8259BE449008CCE65 /* AppDelegate.swift */; };
4EE016C3259BE464008CCE65 /* Main.storyboard in Resources */ = {isa = PBXBuildFile; fileRef = 4EE016BF259BE464008CCE65 /* Main.storyboard */; };
4EE016C4259BE464008CCE65 /* LaunchScreen.storyboard in Resources */ = {isa = PBXBuildFile; fileRef = 4EE016C1259BE464008CCE65 /* LaunchScreen.storyboard */; };
4EE016C7259BE46F008CCE65 /* Assets.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 4EE016C6259BE46F008CCE65 /* Assets.xcassets */; };
4EFAA9432CAE4E960055DA51 /* liblas.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFAA9422CAE4E960055DA51 /* liblas.a */; };
4EFD0B36259D4DE900575D88 /* libboost_filesystem.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B2B259D4DE900575D88 /* libboost_filesystem.a */; };
4EFD0B37259D4DE900575D88 /* libboost_program_options.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B2C259D4DE900575D88 /* libboost_program_options.a */; };
4EFD0B38259D4DE900575D88 /* libboost_regex.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B2D259D4DE900575D88 /* libboost_regex.a */; };
4EFD0B39259D4DE900575D88 /* libboost_iostreams.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B2E259D4DE900575D88 /* libboost_iostreams.a */; };
4EFD0B3A259D4DE900575D88 /* libboost_date_time.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B2F259D4DE900575D88 /* libboost_date_time.a */; };
4EFD0B3B259D4DE900575D88 /* libboost_serialization.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B30259D4DE900575D88 /* libboost_serialization.a */; };
4EFD0B3C259D4DE900575D88 /* libboost_system.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B31259D4DE900575D88 /* libboost_system.a */; };
4EFD0B3D259D4DE900575D88 /* libboost_signals.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B32259D4DE900575D88 /* libboost_signals.a */; };
4EFD0B3E259D4DE900575D88 /* libboost_thread.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B33259D4DE900575D88 /* libboost_thread.a */; };
4EFD0B3F259D4DE900575D88 /* libboost_timer.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B34259D4DE900575D88 /* libboost_timer.a */; };
4EFD0B40259D4DE900575D88 /* libboost_chrono.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B35259D4DE900575D88 /* libboost_chrono.a */; };
4EFD0B51259D4DF100575D88 /* libpcl_stereo.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B41259D4DF100575D88 /* libpcl_stereo.a */; };
4EFD0B52259D4DF100575D88 /* libpcl_registration.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B42259D4DF100575D88 /* libpcl_registration.a */; };
4EFD0B53259D4DF100575D88 /* libpcl_features.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B43259D4DF100575D88 /* libpcl_features.a */; };
4EFD0B54259D4DF100575D88 /* libpcl_filters.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B44259D4DF100575D88 /* libpcl_filters.a */; };
4EFD0B55259D4DF100575D88 /* libpcl_sample_consensus.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B45259D4DF100575D88 /* libpcl_sample_consensus.a */; };
4EFD0B56259D4DF100575D88 /* libpcl_kdtree.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B46259D4DF100575D88 /* libpcl_kdtree.a */; };
4EFD0B57259D4DF100575D88 /* libpcl_search.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B47259D4DF100575D88 /* libpcl_search.a */; };
4EFD0B58259D4DF100575D88 /* libpcl_surface.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B48259D4DF100575D88 /* libpcl_surface.a */; };
4EFD0B59259D4DF100575D88 /* libpcl_keypoints.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B49259D4DF100575D88 /* libpcl_keypoints.a */; };
4EFD0B5A259D4DF100575D88 /* libpcl_recognition.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4A259D4DF100575D88 /* libpcl_recognition.a */; };
4EFD0B5B259D4DF100575D88 /* libpcl_octree.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4B259D4DF100575D88 /* libpcl_octree.a */; };
4EFD0B5C259D4DF100575D88 /* libpcl_io.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4C259D4DF100575D88 /* libpcl_io.a */; };
4EFD0B5D259D4DF100575D88 /* libpcl_common.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4D259D4DF100575D88 /* libpcl_common.a */; };
4EFD0B5E259D4DF100575D88 /* libpcl_io_ply.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4E259D4DF100575D88 /* libpcl_io_ply.a */; };
4EFD0B5F259D4DF100575D88 /* libpcl_ml.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B4F259D4DF100575D88 /* libpcl_ml.a */; };
4EFD0B60259D4DF100575D88 /* libpcl_segmentation.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0B50259D4DF100575D88 /* libpcl_segmentation.a */; };
4EFD0B97259D501E00575D88 /* line.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0B63259D501E00575D88 /* line.cpp */; };
4EFD0B98259D501E00575D88 /* util.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0B64259D501E00575D88 /* util.cpp */; };
4EFD0B99259D501E00575D88 /* obj_loader.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0B65259D501E00575D88 /* obj_loader.cpp */; };
@@ -78,80 +119,8 @@
4EFD0BBC259D509300575D88 /* point_cloud_drawable.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0BBA259D509300575D88 /* point_cloud_drawable.cpp */; };
4EFD0BC0259D50A800575D88 /* scene.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0BBE259D50A800575D88 /* scene.cpp */; };
4EFD0EAB259D581800575D88 /* OpenGLES.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EAA259D581800575D88 /* OpenGLES.framework */; };
4EFD0EB1259D5BE500575D88 /* librtabmap_utilite.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EAF259D5BE500575D88 /* librtabmap_utilite.a */; };
4EFD0EB2259D5BE500575D88 /* librtabmap_core.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB0259D5BE500575D88 /* librtabmap_core.a */; };
4EFD0EDD259D5BFC00575D88 /* libopencv_video.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB4259D5BFB00575D88 /* libopencv_video.a */; };
4EFD0EDE259D5BFC00575D88 /* libopencv_aruco.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB5259D5BFB00575D88 /* libopencv_aruco.a */; };
4EFD0EDF259D5BFC00575D88 /* libopencv_photo.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB6259D5BFB00575D88 /* libopencv_photo.a */; };
4EFD0EE0259D5BFC00575D88 /* libopencv_line_descriptor.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB7259D5BFB00575D88 /* libopencv_line_descriptor.a */; };
4EFD0EE1259D5BFC00575D88 /* libopencv_features2d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB8259D5BFB00575D88 /* libopencv_features2d.a */; };
4EFD0EE2259D5BFC00575D88 /* libopencv_bgsegm.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EB9259D5BFB00575D88 /* libopencv_bgsegm.a */; };
4EFD0EE3259D5BFC00575D88 /* libopencv_dnn_objdetect.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBA259D5BFB00575D88 /* libopencv_dnn_objdetect.a */; };
4EFD0EE4259D5BFC00575D88 /* libopencv_objdetect.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBB259D5BFB00575D88 /* libopencv_objdetect.a */; };
4EFD0EE5259D5BFC00575D88 /* libopencv_flann.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBC259D5BFB00575D88 /* libopencv_flann.a */; };
4EFD0EE6259D5BFC00575D88 /* libopencv_stitching.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBD259D5BFB00575D88 /* libopencv_stitching.a */; };
4EFD0EE7259D5BFC00575D88 /* libopencv_imgproc.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBE259D5BFC00575D88 /* libopencv_imgproc.a */; };
4EFD0EE8259D5BFC00575D88 /* libopencv_ml.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EBF259D5BFC00575D88 /* libopencv_ml.a */; };
4EFD0EE9259D5BFC00575D88 /* libopencv_rgbd.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC0259D5BFC00575D88 /* libopencv_rgbd.a */; };
4EFD0EEA259D5BFC00575D88 /* libopencv_xphoto.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC1259D5BFC00575D88 /* libopencv_xphoto.a */; };
4EFD0EEB259D5BFC00575D88 /* libopencv_phase_unwrapping.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC2259D5BFC00575D88 /* libopencv_phase_unwrapping.a */; };
4EFD0EEC259D5BFC00575D88 /* libopencv_optflow.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC3259D5BFC00575D88 /* libopencv_optflow.a */; };
4EFD0EED259D5BFC00575D88 /* libopencv_imgcodecs.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC4259D5BFC00575D88 /* libopencv_imgcodecs.a */; };
4EFD0EEE259D5BFC00575D88 /* libopencv_fuzzy.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC5259D5BFC00575D88 /* libopencv_fuzzy.a */; };
4EFD0EEF259D5BFC00575D88 /* libopencv_dpm.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC6259D5BFC00575D88 /* libopencv_dpm.a */; };
4EFD0EF0259D5BFC00575D88 /* libopencv_plot.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC7259D5BFC00575D88 /* libopencv_plot.a */; };
4EFD0EF1259D5BFC00575D88 /* libopencv_dnn.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC8259D5BFC00575D88 /* libopencv_dnn.a */; };
4EFD0EF2259D5BFC00575D88 /* libopencv_saliency.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EC9259D5BFC00575D88 /* libopencv_saliency.a */; };
4EFD0EF3259D5BFC00575D88 /* libopencv_videoio.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ECA259D5BFC00575D88 /* libopencv_videoio.a */; };
4EFD0EF4259D5BFC00575D88 /* libopencv_hfs.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ECB259D5BFC00575D88 /* libopencv_hfs.a */; };
4EFD0EF5259D5BFC00575D88 /* libopencv_tracking.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ECC259D5BFC00575D88 /* libopencv_tracking.a */; };
4EFD0EF6259D5BFC00575D88 /* libopencv_text.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ECD259D5BFC00575D88 /* libopencv_text.a */; };
4EFD0EF7259D5BFC00575D88 /* libopencv_face.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ECE259D5BFC00575D88 /* libopencv_face.a */; };
4EFD0EF8259D5BFC00575D88 /* libopencv_bioinspired.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ECF259D5BFC00575D88 /* libopencv_bioinspired.a */; };
4EFD0EF9259D5BFC00575D88 /* libopencv_highgui.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED0259D5BFC00575D88 /* libopencv_highgui.a */; };
4EFD0EFA259D5BFC00575D88 /* libopencv_core.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED1259D5BFC00575D88 /* libopencv_core.a */; };
4EFD0EFB259D5BFC00575D88 /* libopencv_shape.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED2259D5BFC00575D88 /* libopencv_shape.a */; };
4EFD0EFC259D5BFC00575D88 /* libopencv_datasets.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED3259D5BFC00575D88 /* libopencv_datasets.a */; };
4EFD0EFD259D5BFC00575D88 /* libopencv_img_hash.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED4259D5BFC00575D88 /* libopencv_img_hash.a */; };
4EFD0EFE259D5BFC00575D88 /* libopencv_surface_matching.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED5259D5BFC00575D88 /* libopencv_surface_matching.a */; };
4EFD0EFF259D5BFC00575D88 /* libopencv_calib3d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED6259D5BFC00575D88 /* libopencv_calib3d.a */; };
4EFD0F00259D5BFC00575D88 /* libopencv_structured_light.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED7259D5BFC00575D88 /* libopencv_structured_light.a */; };
4EFD0F01259D5BFC00575D88 /* libopencv_reg.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED8259D5BFC00575D88 /* libopencv_reg.a */; };
4EFD0F02259D5BFC00575D88 /* libopencv_xfeatures2d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0ED9259D5BFC00575D88 /* libopencv_xfeatures2d.a */; };
4EFD0F03259D5BFC00575D88 /* libopencv_videostab.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EDA259D5BFC00575D88 /* libopencv_videostab.a */; };
4EFD0F04259D5BFC00575D88 /* libopencv_ccalib.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EDB259D5BFC00575D88 /* libopencv_ccalib.a */; };
4EFD0F05259D5BFC00575D88 /* libopencv_ximgproc.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0EDC259D5BFC00575D88 /* libopencv_ximgproc.a */; };
4EFD0F1D259D5C2200575D88 /* libg2o_solver_dense.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F07259D5C2100575D88 /* libg2o_solver_dense.a */; };
4EFD0F1E259D5C2200575D88 /* libg2o_ext_csparse.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F08259D5C2100575D88 /* libg2o_ext_csparse.a */; };
4EFD0F1F259D5C2200575D88 /* libg2o_solver_slam2d_linear.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F09259D5C2100575D88 /* libg2o_solver_slam2d_linear.a */; };
4EFD0F20259D5C2200575D88 /* libg2o_types_slam2d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0A259D5C2100575D88 /* libg2o_types_slam2d.a */; };
4EFD0F21259D5C2200575D88 /* libg2o_solver_pcg.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0B259D5C2200575D88 /* libg2o_solver_pcg.a */; };
4EFD0F22259D5C2200575D88 /* libg2o_types_data.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0C259D5C2200575D88 /* libg2o_types_data.a */; };
4EFD0F23259D5C2200575D88 /* libg2o_core.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0D259D5C2200575D88 /* libg2o_core.a */; };
4EFD0F24259D5C2200575D88 /* libgtsam_unstable.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0E259D5C2200575D88 /* libgtsam_unstable.a */; };
4EFD0F25259D5C2200575D88 /* libg2o_types_icp.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F0F259D5C2200575D88 /* libg2o_types_icp.a */; };
4EFD0F26259D5C2200575D88 /* libg2o_solver_csparse.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F10259D5C2200575D88 /* libg2o_solver_csparse.a */; };
4EFD0F27259D5C2200575D88 /* libg2o_solver_structure_only.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F11259D5C2200575D88 /* libg2o_solver_structure_only.a */; };
4EFD0F28259D5C2200575D88 /* libg2o_solver_eigen.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F12259D5C2200575D88 /* libg2o_solver_eigen.a */; };
4EFD0F29259D5C2200575D88 /* libg2o_csparse_extension.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F13259D5C2200575D88 /* libg2o_csparse_extension.a */; };
4EFD0F2A259D5C2200575D88 /* libg2o_stuff.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F14259D5C2200575D88 /* libg2o_stuff.a */; };
4EFD0F2B259D5C2200575D88 /* libg2o_types_sba.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F15259D5C2200575D88 /* libg2o_types_sba.a */; };
4EFD0F2C259D5C2200575D88 /* libg2o_types_slam2d_addons.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F16259D5C2200575D88 /* libg2o_types_slam2d_addons.a */; };
4EFD0F2D259D5C2200575D88 /* libg2o_types_slam3d_addons.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F17259D5C2200575D88 /* libg2o_types_slam3d_addons.a */; };
4EFD0F2E259D5C2200575D88 /* libg2o_types_slam3d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F18259D5C2200575D88 /* libg2o_types_slam3d.a */; };
4EFD0F2F259D5C2200575D88 /* libmetis.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F19259D5C2200575D88 /* libmetis.a */; };
4EFD0F30259D5C2200575D88 /* libg2o_types_sclam2d.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F1A259D5C2200575D88 /* libg2o_types_sclam2d.a */; };
4EFD0F31259D5C2200575D88 /* libg2o_types_sim3.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F1B259D5C2200575D88 /* libg2o_types_sim3.a */; };
4EFD0F32259D5C2200575D88 /* libgtsam.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F1C259D5C2200575D88 /* libgtsam.a */; };
4EFD0F34259D5C2900575D88 /* libflann_cpp_s.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F33259D5C2900575D88 /* libflann_cpp_s.a */; };
4EFD0F36259D5C7300575D88 /* vtk.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F35259D5C7300575D88 /* vtk.framework */; };
4EFD0F3A259D5D1500575D88 /* CameraMobile.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0F38259D5D1500575D88 /* CameraMobile.cpp */; };
4EFD0F3D259D5D5C00575D88 /* libsqlite3.tbd in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F3C259D5D5C00575D88 /* libsqlite3.tbd */; };
4EFD0F50259D67D900575D88 /* liblibwebp.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F4B259D67D900575D88 /* liblibwebp.a */; };
4EFD0F51259D67D900575D88 /* liblibpng.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F4C259D67D900575D88 /* liblibpng.a */; };
4EFD0F52259D67D900575D88 /* liblibjpeg-turbo.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F4D259D67D900575D88 /* liblibjpeg-turbo.a */; };
4EFD0F53259D67D900575D88 /* libzlib.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F4E259D67D900575D88 /* libzlib.a */; };
4EFD0F54259D67D900575D88 /* liblibprotobuf.a in Frameworks */ = {isa = PBXBuildFile; fileRef = 4EFD0F4F259D67D900575D88 /* liblibprotobuf.a */; };
4EFD0F62259E341C00575D88 /* RTABMapApp.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0F61259E341C00575D88 /* RTABMapApp.cpp */; };
4EFD0F67259E38DE00575D88 /* NativeWrapper.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0F66259E38DE00575D88 /* NativeWrapper.cpp */; };
4EFD0F70259F847300575D88 /* background_renderer.cc in Sources */ = {isa = PBXBuildFile; fileRef = 4EFD0F6E259F847300575D88 /* background_renderer.cc */; };
@@ -160,6 +129,42 @@
/* Begin PBXFileReference section */
44D4681D2D538A4100B094BA /* RTABMapApp.entitlements */ = {isa = PBXFileReference; lastKnownFileType = text.plist.entitlements; name = RTABMapApp.entitlements; path = RTABMapApp/RTABMapApp.entitlements; sourceTree = "<group>"; };
4E0D83822621F52C00C879AC /* Settings.bundle */ = {isa = PBXFileReference; lastKnownFileType = "wrapper.plug-in"; path = Settings.bundle; sourceTree = "<group>"; };
4E10D8602DE408EE0015926D /* libboost_stacktrace_noop.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_stacktrace_noop.a; path = RTABMapApp/Libraries/lib/libboost_stacktrace_noop.a; sourceTree = "<group>"; };
4E10D8612DE408EE0015926D /* libboost_wserialization.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_wserialization.a; path = RTABMapApp/Libraries/lib/libboost_wserialization.a; sourceTree = "<group>"; };
4E10D8622DE408EE0015926D /* libmetis-gtsam.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = "libmetis-gtsam.a"; path = "RTABMapApp/Libraries/lib/libmetis-gtsam.a"; sourceTree = "<group>"; };
4E10D8632DE408EE0015926D /* libopencv_wechat_qrcode.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libopencv_wechat_qrcode.a; path = RTABMapApp/Libraries/lib/libopencv_wechat_qrcode.a; sourceTree = "<group>"; };
4E10D8642DE408EE0015926D /* libboost_container.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_container.a; path = RTABMapApp/Libraries/lib/libboost_container.a; sourceTree = "<group>"; };
4E10D8652DE408EE0015926D /* libboost_graph.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_graph.a; path = RTABMapApp/Libraries/lib/libboost_graph.a; sourceTree = "<group>"; };
4E10D8662DE408EE0015926D /* libboost_json.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_json.a; path = RTABMapApp/Libraries/lib/libboost_json.a; sourceTree = "<group>"; };
4E10D8672DE408EE0015926D /* libboost_stacktrace_basic.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_stacktrace_basic.a; path = RTABMapApp/Libraries/lib/libboost_stacktrace_basic.a; sourceTree = "<group>"; };
4E10D8682DE408EE0015926D /* libboost_atomic.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_atomic.a; path = RTABMapApp/Libraries/lib/libboost_atomic.a; sourceTree = "<group>"; };
4E10D8692DE408EE0015926D /* libopencv_intensity_transform.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libopencv_intensity_transform.a; path = RTABMapApp/Libraries/lib/libopencv_intensity_transform.a; sourceTree = "<group>"; };
4E10D86A2DE408EF0015926D /* libboost_locale.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_locale.a; path = RTABMapApp/Libraries/lib/libboost_locale.a; sourceTree = "<group>"; };
4E10D86B2DE408EF0015926D /* liblz4.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = liblz4.a; path = RTABMapApp/Libraries/lib/liblz4.a; sourceTree = "<group>"; };
4E10D86C2DE408EF0015926D /* libopencv_dnn_superres.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libopencv_dnn_superres.a; path = RTABMapApp/Libraries/lib/libopencv_dnn_superres.a; sourceTree = "<group>"; };
4E10D86D2DE408EF0015926D /* libopencv_rapid.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libopencv_rapid.a; path = RTABMapApp/Libraries/lib/libopencv_rapid.a; sourceTree = "<group>"; };
4E10D86E2DE408EF0015926D /* libopencv_quality.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libopencv_quality.a; path = RTABMapApp/Libraries/lib/libopencv_quality.a; sourceTree = "<group>"; };
4E10D86F2DE408EF0015926D /* libboost_url.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_url.a; path = RTABMapApp/Libraries/lib/libboost_url.a; sourceTree = "<group>"; };
4E10D8702DE408EF0015926D /* libboost_unit_test_framework.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_unit_test_framework.a; path = RTABMapApp/Libraries/lib/libboost_unit_test_framework.a; sourceTree = "<group>"; };
4E10D8712DE408EF0015926D /* libboost_random.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_random.a; path = RTABMapApp/Libraries/lib/libboost_random.a; sourceTree = "<group>"; };
4E10D8722DE408EF0015926D /* libboost_wave.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_wave.a; path = RTABMapApp/Libraries/lib/libboost_wave.a; sourceTree = "<group>"; };
4E10D8732DE408EF0015926D /* libboost_charconv.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_charconv.a; path = RTABMapApp/Libraries/lib/libboost_charconv.a; sourceTree = "<group>"; };
4E10D8742DE408EF0015926D /* libboost_type_erasure.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_type_erasure.a; path = RTABMapApp/Libraries/lib/libboost_type_erasure.a; sourceTree = "<group>"; };
4E10D8752DE408EF0015926D /* liblas_c.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = liblas_c.a; path = RTABMapApp/Libraries/lib/liblas_c.a; sourceTree = "<group>"; };
4E10D8762DE408EF0015926D /* libboost_contract.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_contract.a; path = RTABMapApp/Libraries/lib/libboost_contract.a; sourceTree = "<group>"; };
4E10D8772DE408EF0015926D /* libopencv_gapi.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libopencv_gapi.a; path = RTABMapApp/Libraries/lib/libopencv_gapi.a; sourceTree = "<group>"; };
4E10D8782DE408EF0015926D /* libopencv_signal.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libopencv_signal.a; path = RTABMapApp/Libraries/lib/libopencv_signal.a; sourceTree = "<group>"; };
4E10D8792DE408EF0015926D /* libboost_prg_exec_monitor.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_prg_exec_monitor.a; path = RTABMapApp/Libraries/lib/libboost_prg_exec_monitor.a; sourceTree = "<group>"; };
4E10D87A2DE408EF0015926D /* libboost_stacktrace_addr2line.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_stacktrace_addr2line.a; path = RTABMapApp/Libraries/lib/libboost_stacktrace_addr2line.a; sourceTree = "<group>"; };
4E10D87B2DE408EF0015926D /* libboost_nowide.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_nowide.a; path = RTABMapApp/Libraries/lib/libboost_nowide.a; sourceTree = "<group>"; };
4E10D87C2DE408EF0015926D /* libboost_test_exec_monitor.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libboost_test_exec_monitor.a; path = RTABMapApp/Libraries/lib/libboost_test_exec_monitor.a; sourceTree = "<group>"; };
4E10D87D2DE408EF0015926D /* libopencv_mcc.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libopencv_mcc.a; path = RTABMapApp/Libraries/lib/libopencv_mcc.a; sourceTree = "<group>"; };
4E10D8D52DE40FBE0015926D /* liblibjpeg-turbo.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = "liblibjpeg-turbo.a"; path = "RTABMapApp/Libraries/lib/opencv4/3rdparty/liblibjpeg-turbo.a"; sourceTree = "<group>"; };
4E10D8D72DE40FCA0015926D /* liblibpng.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = liblibpng.a; path = RTABMapApp/Libraries/lib/opencv4/3rdparty/liblibpng.a; sourceTree = "<group>"; };
4E10D8D92DE40FF60015926D /* libzlib.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libzlib.a; path = RTABMapApp/Libraries/lib/opencv4/3rdparty/libzlib.a; sourceTree = "<group>"; };
4E10D8DA2DE40FF60015926D /* libIlmImf.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libIlmImf.a; path = RTABMapApp/Libraries/lib/opencv4/3rdparty/libIlmImf.a; sourceTree = "<group>"; };
4E10D8DB2DE40FF60015926D /* libade.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libade.a; path = RTABMapApp/Libraries/lib/opencv4/3rdparty/libade.a; sourceTree = "<group>"; };
4E10D8DC2DE40FF60015926D /* liblibprotobuf.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = liblibprotobuf.a; path = RTABMapApp/Libraries/lib/opencv4/3rdparty/liblibprotobuf.a; sourceTree = "<group>"; };
4E1E9CF22D617D08000CB881 /* Measure.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = Measure.h; path = ../android/jni/Measure.h; sourceTree = "<group>"; };
4E1E9CF32D618079000CB881 /* quad_color.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = quad_color.h; path = ../android/jni/quad_color.h; sourceTree = "<group>"; };
4E1E9CF42D618079000CB881 /* text_drawable.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = text_drawable.h; path = ../android/jni/text_drawable.h; sourceTree = "<group>"; };
@@ -170,6 +175,15 @@
4E20B24F266AB95600316EE6 /* Images.xcassets */ = {isa = PBXFileReference; lastKnownFileType = folder.assetcatalog; name = Images.xcassets; path = RTABMapApp/Images.xcassets; sourceTree = "<group>"; };
4E2C516525A63119005CEDBD /* DatabaseView.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; name = DatabaseView.swift; path = RTABMapApp/DatabaseView.swift; sourceTree = "<group>"; };
4E2C516625A63119005CEDBD /* VerticalScrollerView.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; name = VerticalScrollerView.swift; path = RTABMapApp/VerticalScrollerView.swift; sourceTree = "<group>"; };
4E3525562DE4C6E500F39D8F /* libg2o_solver_cholmod.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libg2o_solver_cholmod.a; path = RTABMapApp/Libraries/lib/libg2o_solver_cholmod.a; sourceTree = "<group>"; };
4E3525582DE4C6F600F39D8F /* libcholmod.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libcholmod.a; path = RTABMapApp/Libraries/lib/libcholmod.a; sourceTree = "<group>"; };
4E35255A2DE4C71000F39D8F /* libcxsparse.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libcxsparse.a; path = RTABMapApp/Libraries/lib/libcxsparse.a; sourceTree = "<group>"; };
4E35255B2DE4C71000F39D8F /* libcolamd.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libcolamd.a; path = RTABMapApp/Libraries/lib/libcolamd.a; sourceTree = "<group>"; };
4E35255C2DE4C71000F39D8F /* libcamd.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libcamd.a; path = RTABMapApp/Libraries/lib/libcamd.a; sourceTree = "<group>"; };
4E35255D2DE4C71000F39D8F /* libccolamd.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libccolamd.a; path = RTABMapApp/Libraries/lib/libccolamd.a; sourceTree = "<group>"; };
4E3525622DE4C71C00F39D8F /* libsuitesparseconfig.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libsuitesparseconfig.a; path = RTABMapApp/Libraries/lib/libsuitesparseconfig.a; sourceTree = "<group>"; };
4E3525632DE4C71C00F39D8F /* libspqr.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libspqr.a; path = RTABMapApp/Libraries/lib/libspqr.a; sourceTree = "<group>"; };
4E3525662DE4C72D00F39D8F /* libamd.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = libamd.a; path = RTABMapApp/Libraries/lib/libamd.a; sourceTree = "<group>"; };
4E401BE825CC92C100240A56 /* ProgressionStatus.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; name = ProgressionStatus.h; path = ../android/jni/ProgressionStatus.h; sourceTree = "<group>"; };
4EB1A66525A0D90B0043C7BF /* RTABMap.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; name = RTABMap.swift; path = RTABMapApp/RTABMap.swift; sourceTree = "<group>"; };
4ED73AD02D7FECF3007899C2 /* liblaszip.a */ = {isa = PBXFileReference; lastKnownFileType = archive.ar; name = liblaszip.a; path = RTABMapApp/Libraries/lib/liblaszip.a; sourceTree = "<group>"; };
@@ -356,110 +370,79 @@
isa = PBXFrameworksBuildPhase;
buildActionMask = 2147483647;
files = (
4EFAA9432CAE4E960055DA51 /* liblas.a in Frameworks */,
4ED73AD12D7FECF3007899C2 /* liblaszip.a in Frameworks */,
4EFD0F50259D67D900575D88 /* liblibwebp.a in Frameworks */,
4EFD0F51259D67D900575D88 /* liblibpng.a in Frameworks */,
4EFD0F52259D67D900575D88 /* liblibjpeg-turbo.a in Frameworks */,
4EFD0F53259D67D900575D88 /* libzlib.a in Frameworks */,
4EFD0F54259D67D900575D88 /* liblibprotobuf.a in Frameworks */,
4EFD0F3D259D5D5C00575D88 /* libsqlite3.tbd in Frameworks */,
4EFD0F36259D5C7300575D88 /* vtk.framework in Frameworks */,
4EFD0F34259D5C2900575D88 /* libflann_cpp_s.a in Frameworks */,
4EFD0F1D259D5C2200575D88 /* libg2o_solver_dense.a in Frameworks */,
4EFD0F1E259D5C2200575D88 /* libg2o_ext_csparse.a in Frameworks */,
4EFD0F1F259D5C2200575D88 /* libg2o_solver_slam2d_linear.a in Frameworks */,
4EFD0F20259D5C2200575D88 /* libg2o_types_slam2d.a in Frameworks */,
4EFD0F21259D5C2200575D88 /* libg2o_solver_pcg.a in Frameworks */,
4EFD0F22259D5C2200575D88 /* libg2o_types_data.a in Frameworks */,
4EFD0F23259D5C2200575D88 /* libg2o_core.a in Frameworks */,
4EFD0F24259D5C2200575D88 /* libgtsam_unstable.a in Frameworks */,
4EFD0F25259D5C2200575D88 /* libg2o_types_icp.a in Frameworks */,
4EFD0F26259D5C2200575D88 /* libg2o_solver_csparse.a in Frameworks */,
4EFD0F27259D5C2200575D88 /* libg2o_solver_structure_only.a in Frameworks */,
4EFD0F28259D5C2200575D88 /* libg2o_solver_eigen.a in Frameworks */,
4EFD0F29259D5C2200575D88 /* libg2o_csparse_extension.a in Frameworks */,
4EFD0F2A259D5C2200575D88 /* libg2o_stuff.a in Frameworks */,
4EFD0F2B259D5C2200575D88 /* libg2o_types_sba.a in Frameworks */,
4EFD0F2C259D5C2200575D88 /* libg2o_types_slam2d_addons.a in Frameworks */,
4EFD0F2D259D5C2200575D88 /* libg2o_types_slam3d_addons.a in Frameworks */,
4EFD0F2E259D5C2200575D88 /* libg2o_types_slam3d.a in Frameworks */,
4EFD0F2F259D5C2200575D88 /* libmetis.a in Frameworks */,
4EFD0F30259D5C2200575D88 /* libg2o_types_sclam2d.a in Frameworks */,
4EFD0F31259D5C2200575D88 /* libg2o_types_sim3.a in Frameworks */,
4EFD0F32259D5C2200575D88 /* libgtsam.a in Frameworks */,
4E8B155426273A580037FC53 /* Zip in Frameworks */,
4EFD0EDD259D5BFC00575D88 /* libopencv_video.a in Frameworks */,
4EFD0EDE259D5BFC00575D88 /* libopencv_aruco.a in Frameworks */,
4EFD0EDF259D5BFC00575D88 /* libopencv_photo.a in Frameworks */,
4EFD0EE0259D5BFC00575D88 /* libopencv_line_descriptor.a in Frameworks */,
4EFD0EE1259D5BFC00575D88 /* libopencv_features2d.a in Frameworks */,
4EFD0EE2259D5BFC00575D88 /* libopencv_bgsegm.a in Frameworks */,
4EFD0EE3259D5BFC00575D88 /* libopencv_dnn_objdetect.a in Frameworks */,
4EFD0EE4259D5BFC00575D88 /* libopencv_objdetect.a in Frameworks */,
4EFD0EE5259D5BFC00575D88 /* libopencv_flann.a in Frameworks */,
4EFD0EE6259D5BFC00575D88 /* libopencv_stitching.a in Frameworks */,
4EFD0EE7259D5BFC00575D88 /* libopencv_imgproc.a in Frameworks */,
4EFD0EE8259D5BFC00575D88 /* libopencv_ml.a in Frameworks */,
4EFD0EE9259D5BFC00575D88 /* libopencv_rgbd.a in Frameworks */,
4EFD0EEA259D5BFC00575D88 /* libopencv_xphoto.a in Frameworks */,
4EFD0EEB259D5BFC00575D88 /* libopencv_phase_unwrapping.a in Frameworks */,
4EFD0EEC259D5BFC00575D88 /* libopencv_optflow.a in Frameworks */,
4EFD0EED259D5BFC00575D88 /* libopencv_imgcodecs.a in Frameworks */,
4EFD0EEE259D5BFC00575D88 /* libopencv_fuzzy.a in Frameworks */,
4EFD0EEF259D5BFC00575D88 /* libopencv_dpm.a in Frameworks */,
4EFD0EF0259D5BFC00575D88 /* libopencv_plot.a in Frameworks */,
4EFD0EF1259D5BFC00575D88 /* libopencv_dnn.a in Frameworks */,
4EFD0EF2259D5BFC00575D88 /* libopencv_saliency.a in Frameworks */,
4EFD0EF3259D5BFC00575D88 /* libopencv_videoio.a in Frameworks */,
4EFD0EF4259D5BFC00575D88 /* libopencv_hfs.a in Frameworks */,
4EFD0EF5259D5BFC00575D88 /* libopencv_tracking.a in Frameworks */,
4EFD0EF6259D5BFC00575D88 /* libopencv_text.a in Frameworks */,
4EFD0EF7259D5BFC00575D88 /* libopencv_face.a in Frameworks */,
4EFD0EF8259D5BFC00575D88 /* libopencv_bioinspired.a in Frameworks */,
4EFD0EF9259D5BFC00575D88 /* libopencv_highgui.a in Frameworks */,
4EFD0EFA259D5BFC00575D88 /* libopencv_core.a in Frameworks */,
4EFD0EFB259D5BFC00575D88 /* libopencv_shape.a in Frameworks */,
4EFD0EFC259D5BFC00575D88 /* libopencv_datasets.a in Frameworks */,
4EFD0EFD259D5BFC00575D88 /* libopencv_img_hash.a in Frameworks */,
4EFD0EFE259D5BFC00575D88 /* libopencv_surface_matching.a in Frameworks */,
4EFD0EFF259D5BFC00575D88 /* libopencv_calib3d.a in Frameworks */,
4EFD0F00259D5BFC00575D88 /* libopencv_structured_light.a in Frameworks */,
4EFD0F01259D5BFC00575D88 /* libopencv_reg.a in Frameworks */,
4EFD0F02259D5BFC00575D88 /* libopencv_xfeatures2d.a in Frameworks */,
4EFD0F03259D5BFC00575D88 /* libopencv_videostab.a in Frameworks */,
4EFD0F04259D5BFC00575D88 /* libopencv_ccalib.a in Frameworks */,
4EFD0F05259D5BFC00575D88 /* libopencv_ximgproc.a in Frameworks */,
4EFD0EB1259D5BE500575D88 /* librtabmap_utilite.a in Frameworks */,
4EFD0EB2259D5BE500575D88 /* librtabmap_core.a in Frameworks */,
4EFD0F36259D5C7300575D88 /* vtk.framework in Frameworks */,
4EFD0EAB259D581800575D88 /* OpenGLES.framework in Frameworks */,
4EFD0B36259D4DE900575D88 /* libboost_filesystem.a in Frameworks */,
4EFD0B37259D4DE900575D88 /* libboost_program_options.a in Frameworks */,
4EFD0B38259D4DE900575D88 /* libboost_regex.a in Frameworks */,
4EFD0B39259D4DE900575D88 /* libboost_iostreams.a in Frameworks */,
4EFD0B3A259D4DE900575D88 /* libboost_date_time.a in Frameworks */,
4EFD0B3B259D4DE900575D88 /* libboost_serialization.a in Frameworks */,
4EFD0B3C259D4DE900575D88 /* libboost_system.a in Frameworks */,
4EFD0B3D259D4DE900575D88 /* libboost_signals.a in Frameworks */,
4EFD0B3E259D4DE900575D88 /* libboost_thread.a in Frameworks */,
4EFD0B3F259D4DE900575D88 /* libboost_timer.a in Frameworks */,
4EFD0B40259D4DE900575D88 /* libboost_chrono.a in Frameworks */,
4EFD0B51259D4DF100575D88 /* libpcl_stereo.a in Frameworks */,
4EFD0B52259D4DF100575D88 /* libpcl_registration.a in Frameworks */,
4EFD0B53259D4DF100575D88 /* libpcl_features.a in Frameworks */,
4EFD0B54259D4DF100575D88 /* libpcl_filters.a in Frameworks */,
4EFD0B55259D4DF100575D88 /* libpcl_sample_consensus.a in Frameworks */,
4EFD0B56259D4DF100575D88 /* libpcl_kdtree.a in Frameworks */,
4EFD0B57259D4DF100575D88 /* libpcl_search.a in Frameworks */,
4EFD0B58259D4DF100575D88 /* libpcl_surface.a in Frameworks */,
4EFD0B59259D4DF100575D88 /* libpcl_keypoints.a in Frameworks */,
4EFD0B5A259D4DF100575D88 /* libpcl_recognition.a in Frameworks */,
4EFD0B5B259D4DF100575D88 /* libpcl_octree.a in Frameworks */,
4EFD0B5C259D4DF100575D88 /* libpcl_io.a in Frameworks */,
4EFD0B5D259D4DF100575D88 /* libpcl_common.a in Frameworks */,
4EFD0B5E259D4DF100575D88 /* libpcl_io_ply.a in Frameworks */,
4EFD0B5F259D4DF100575D88 /* libpcl_ml.a in Frameworks */,
4EFD0B60259D4DF100575D88 /* libpcl_segmentation.a in Frameworks */,
4E10D89C2DE409870015926D /* librtabmap_core.a in Frameworks */,
4E10D89D2DE409870015926D /* librtabmap_utilite.a in Frameworks */,
4E10D89E2DE409A60015926D /* libopencv_xfeatures2d.a in Frameworks */,
4E10D89F2DE409B20015926D /* libopencv_video.a in Frameworks */,
4E10D8A02DE409BB0015926D /* libopencv_tracking.a in Frameworks */,
4E10D8A12DE409C00015926D /* libopencv_optflow.a in Frameworks */,
4E10D8A22DE409C70015926D /* libopencv_imgproc.a in Frameworks */,
4E10D8A32DE409CA0015926D /* libopencv_features2d.a in Frameworks */,
4E10D8A42DE409CE0015926D /* libopencv_core.a in Frameworks */,
4E10D8A52DE409D10015926D /* libopencv_calib3d.a in Frameworks */,
4E10D8A62DE409D50015926D /* libopencv_aruco.a in Frameworks */,
4E10D8A72DE409F40015926D /* libopencv_flann.a in Frameworks */,
4E10D8A82DE40A1B0015926D /* libopencv_ximgproc.a in Frameworks */,
4E10D8A92DE40A3A0015926D /* libopencv_photo.a in Frameworks */,
4E10D8AA2DE40A6C0015926D /* libopencv_objdetect.a in Frameworks */,
4E10D8AB2DE40A8C0015926D /* libopencv_stitching.a in Frameworks */,
4E10D8AC2DE40AA20015926D /* libopencv_imgcodecs.a in Frameworks */,
4E3525672DE4C72D00F39D8F /* libamd.a in Frameworks */,
4E3525642DE4C71C00F39D8F /* libsuitesparseconfig.a in Frameworks */,
4E3525652DE4C71C00F39D8F /* libspqr.a in Frameworks */,
4E35255E2DE4C71000F39D8F /* libcxsparse.a in Frameworks */,
4E35255F2DE4C71000F39D8F /* libcolamd.a in Frameworks */,
4E3525602DE4C71000F39D8F /* libcamd.a in Frameworks */,
4E3525612DE4C71000F39D8F /* libccolamd.a in Frameworks */,
4E3525592DE4C6F600F39D8F /* libcholmod.a in Frameworks */,
4E10D8AD2DE40E990015926D /* libg2o_core.a in Frameworks */,
4E3525572DE4C6E500F39D8F /* libg2o_solver_cholmod.a in Frameworks */,
4E3525542DE4C6E500F39D8F /* libg2o_csparse_extension.a in Frameworks */,
4E3525552DE4C6E500F39D8F /* libg2o_solver_csparse.a in Frameworks */,
4E10D8AE2DE40E990015926D /* libg2o_solver_dense.a in Frameworks */,
4E10D8AF2DE40E990015926D /* libg2o_solver_eigen.a in Frameworks */,
4E10D8B02DE40E990015926D /* libg2o_solver_pcg.a in Frameworks */,
4E10D8B12DE40E990015926D /* libg2o_solver_slam2d_linear.a in Frameworks */,
4E10D8B22DE40E990015926D /* libg2o_solver_structure_only.a in Frameworks */,
4E10D8B32DE40E990015926D /* libg2o_stuff.a in Frameworks */,
4E10D8B42DE40E990015926D /* libg2o_types_data.a in Frameworks */,
4E10D8B52DE40E990015926D /* libg2o_types_icp.a in Frameworks */,
4E10D8B62DE40E990015926D /* libg2o_types_sba.a in Frameworks */,
4E10D8B72DE40E990015926D /* libg2o_types_sclam2d.a in Frameworks */,
4E10D8B82DE40E990015926D /* libg2o_types_sim3.a in Frameworks */,
4E10D8B92DE40E990015926D /* libg2o_types_slam2d_addons.a in Frameworks */,
4E10D8BA2DE40E990015926D /* libg2o_types_slam2d.a in Frameworks */,
4E10D8BB2DE40E990015926D /* libg2o_types_slam3d_addons.a in Frameworks */,
4E10D8BC2DE40E990015926D /* libg2o_types_slam3d.a in Frameworks */,
4E10D8BD2DE40EC70015926D /* libpcl_common.a in Frameworks */,
4E10D8BE2DE40EC70015926D /* libpcl_features.a in Frameworks */,
4E10D8BF2DE40EC70015926D /* libpcl_filters.a in Frameworks */,
4E10D8C02DE40EC70015926D /* libpcl_io_ply.a in Frameworks */,
4E10D8C12DE40EC70015926D /* libpcl_io.a in Frameworks */,
4E10D8C22DE40EC70015926D /* libpcl_kdtree.a in Frameworks */,
4E10D8C32DE40EC70015926D /* libpcl_keypoints.a in Frameworks */,
4E10D8C42DE40EC70015926D /* libpcl_ml.a in Frameworks */,
4E10D8C52DE40EC70015926D /* libpcl_octree.a in Frameworks */,
4E10D8C62DE40EC70015926D /* libpcl_registration.a in Frameworks */,
4E10D8C72DE40EC70015926D /* libpcl_sample_consensus.a in Frameworks */,
4E10D8C82DE40EC70015926D /* libpcl_search.a in Frameworks */,
4E10D8C92DE40EC70015926D /* libpcl_segmentation.a in Frameworks */,
4E10D8CA2DE40EC70015926D /* libpcl_stereo.a in Frameworks */,
4E10D8CB2DE40EC70015926D /* libpcl_surface.a in Frameworks */,
4E10D8CC2DE40EE30015926D /* libgtsam_unstable.a in Frameworks */,
4E10D8CD2DE40EE30015926D /* libgtsam.a in Frameworks */,
4E10D8CE2DE40EE30015926D /* libmetis-gtsam.a in Frameworks */,
4E10D8CF2DE40EF90015926D /* libboost_serialization.a in Frameworks */,
4E10D8D02DE40F060015926D /* libboost_timer.a in Frameworks */,
4E10D8D42DE40F2A0015926D /* libboost_thread.a in Frameworks */,
4E10D8D12DE40F190015926D /* liblas_c.a in Frameworks */,
4E10D8D22DE40F190015926D /* liblas.a in Frameworks */,
4E10D8D32DE40F190015926D /* liblaszip.a in Frameworks */,
4E10D8E12DE4101B0015926D /* liblibjpeg-turbo.a in Frameworks */,
4E10D8E22DE4101B0015926D /* liblibpng.a in Frameworks */,
);
runOnlyForDeploymentPostprocessing = 0;
};
@@ -509,6 +492,51 @@
4EFD0B2A259D4DE900575D88 /* Frameworks */ = {
isa = PBXGroup;
children = (
4E3525662DE4C72D00F39D8F /* libamd.a */,
4E3525632DE4C71C00F39D8F /* libspqr.a */,
4E3525622DE4C71C00F39D8F /* libsuitesparseconfig.a */,
4E35255C2DE4C71000F39D8F /* libcamd.a */,
4E35255D2DE4C71000F39D8F /* libccolamd.a */,
4E35255B2DE4C71000F39D8F /* libcolamd.a */,
4E35255A2DE4C71000F39D8F /* libcxsparse.a */,
4E3525582DE4C6F600F39D8F /* libcholmod.a */,
4E3525562DE4C6E500F39D8F /* libg2o_solver_cholmod.a */,
4E10D8DB2DE40FF60015926D /* libade.a */,
4E10D8DA2DE40FF60015926D /* libIlmImf.a */,
4E10D8DC2DE40FF60015926D /* liblibprotobuf.a */,
4E10D8D92DE40FF60015926D /* libzlib.a */,
4E10D8D72DE40FCA0015926D /* liblibpng.a */,
4E10D8D52DE40FBE0015926D /* liblibjpeg-turbo.a */,
4E10D8682DE408EE0015926D /* libboost_atomic.a */,
4E10D8732DE408EF0015926D /* libboost_charconv.a */,
4E10D8642DE408EE0015926D /* libboost_container.a */,
4E10D8762DE408EF0015926D /* libboost_contract.a */,
4E10D8652DE408EE0015926D /* libboost_graph.a */,
4E10D8662DE408EE0015926D /* libboost_json.a */,
4E10D86A2DE408EF0015926D /* libboost_locale.a */,
4E10D87B2DE408EF0015926D /* libboost_nowide.a */,
4E10D8792DE408EF0015926D /* libboost_prg_exec_monitor.a */,
4E10D8712DE408EF0015926D /* libboost_random.a */,
4E10D87A2DE408EF0015926D /* libboost_stacktrace_addr2line.a */,
4E10D8672DE408EE0015926D /* libboost_stacktrace_basic.a */,
4E10D8602DE408EE0015926D /* libboost_stacktrace_noop.a */,
4E10D87C2DE408EF0015926D /* libboost_test_exec_monitor.a */,
4E10D8742DE408EF0015926D /* libboost_type_erasure.a */,
4E10D8702DE408EF0015926D /* libboost_unit_test_framework.a */,
4E10D86F2DE408EF0015926D /* libboost_url.a */,
4E10D8722DE408EF0015926D /* libboost_wave.a */,
4E10D8612DE408EE0015926D /* libboost_wserialization.a */,
4E10D8752DE408EF0015926D /* liblas_c.a */,
4E10D86B2DE408EF0015926D /* liblz4.a */,
4E10D8622DE408EE0015926D /* libmetis-gtsam.a */,
4E10D86C2DE408EF0015926D /* libopencv_dnn_superres.a */,
4E10D8772DE408EF0015926D /* libopencv_gapi.a */,
4E10D8692DE408EE0015926D /* libopencv_intensity_transform.a */,
4E10D87D2DE408EF0015926D /* libopencv_mcc.a */,
4E10D86E2DE408EF0015926D /* libopencv_quality.a */,
4E10D86D2DE408EF0015926D /* libopencv_rapid.a */,
4E10D8782DE408EF0015926D /* libopencv_signal.a */,
4E10D8632DE408EE0015926D /* libopencv_wechat_qrcode.a */,
4ED73AD02D7FECF3007899C2 /* liblaszip.a */,
4EFAA9422CAE4E960055DA51 /* liblas.a */,
4EFD0F4D259D67D900575D88 /* liblibjpeg-turbo.a */,
@@ -889,7 +917,7 @@
ALWAYS_SEARCH_USER_PATHS = NO;
CLANG_ANALYZER_NONNULL = YES;
CLANG_ANALYZER_NUMBER_OBJECT_CONVERSION = YES_AGGRESSIVE;
CLANG_CXX_LANGUAGE_STANDARD = "gnu++14";
CLANG_CXX_LANGUAGE_STANDARD = "gnu++17";
CLANG_CXX_LIBRARY = "libc++";
CLANG_ENABLE_MODULES = YES;
CLANG_ENABLE_OBJC_ARC = YES;
@@ -920,7 +948,7 @@
DEBUG_INFORMATION_FORMAT = dwarf;
ENABLE_STRICT_OBJC_MSGSEND = YES;
ENABLE_TESTABILITY = YES;
GCC_C_LANGUAGE_STANDARD = gnu11;
GCC_C_LANGUAGE_STANDARD = gnu17;
GCC_DYNAMIC_NO_PIC = NO;
GCC_NO_COMMON_BLOCKS = YES;
GCC_OPTIMIZATION_LEVEL = 0;
@@ -950,7 +978,7 @@
ALWAYS_SEARCH_USER_PATHS = NO;
CLANG_ANALYZER_NONNULL = YES;
CLANG_ANALYZER_NUMBER_OBJECT_CONVERSION = YES_AGGRESSIVE;
CLANG_CXX_LANGUAGE_STANDARD = "gnu++14";
CLANG_CXX_LANGUAGE_STANDARD = "gnu++17";
CLANG_CXX_LIBRARY = "libc++";
CLANG_ENABLE_MODULES = YES;
CLANG_ENABLE_OBJC_ARC = YES;
@@ -981,7 +1009,7 @@
DEBUG_INFORMATION_FORMAT = "dwarf-with-dsym";
ENABLE_NS_ASSERTIONS = NO;
ENABLE_STRICT_OBJC_MSGSEND = YES;
GCC_C_LANGUAGE_STANDARD = gnu11;
GCC_C_LANGUAGE_STANDARD = gnu17;
GCC_NO_COMMON_BLOCKS = YES;
GCC_PREPROCESSOR_DEFINITIONS = "";
GCC_WARN_64_TO_32_BIT_CONVERSION = YES;
@@ -1035,8 +1063,9 @@
"$(inherited)",
"$(PROJECT_DIR)/RTABMapApp/Libraries/lib",
"$(PROJECT_DIR)/RTABMapApp/Libraries/share/OpenCV/3rdparty/lib",
"$(PROJECT_DIR)/RTABMapApp/Libraries/lib/opencv4/3rdparty",
);
MARKETING_VERSION = 0.21.11;
MARKETING_VERSION = 0.22.0;
OTHER_CFLAGS = "";
PRODUCT_BUNDLE_IDENTIFIER = com.introlab.rtabmap;
PRODUCT_NAME = "$(TARGET_NAME)";
@@ -1048,11 +1077,12 @@
SYSTEM_HEADER_SEARCH_PATHS = (
"\"$(SRCROOT)/RTABMapApp/Libraries/include\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/eigen3\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/pcl-1.11\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/rtabmap-0.21\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/pcl-1.15\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/rtabmap-0.22\"",
"\"$(SRCROOT)/../android/jni/tango-gl/include\"",
"\"$(SRCROOT)/../android/jni/third-party/include\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/lib/vtk.framework/Headers\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/opencv4\"",
);
TARGETED_DEVICE_FAMILY = "1,2";
VALIDATE_WORKSPACE = NO;
@@ -1093,8 +1123,9 @@
"$(inherited)",
"$(PROJECT_DIR)/RTABMapApp/Libraries/lib",
"$(PROJECT_DIR)/RTABMapApp/Libraries/share/OpenCV/3rdparty/lib",
"$(PROJECT_DIR)/RTABMapApp/Libraries/lib/opencv4/3rdparty",
);
MARKETING_VERSION = 0.21.11;
MARKETING_VERSION = 0.22.0;
ONLY_ACTIVE_ARCH = YES;
OTHER_CFLAGS = "";
PRODUCT_BUNDLE_IDENTIFIER = com.introlab.rtabmap;
@@ -1107,11 +1138,12 @@
SYSTEM_HEADER_SEARCH_PATHS = (
"\"$(SRCROOT)/RTABMapApp/Libraries/include\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/eigen3\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/pcl-1.11\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/rtabmap-0.21\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/pcl-1.15\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/rtabmap-0.22\"",
"\"$(SRCROOT)/../android/jni/tango-gl/include\"",
"\"$(SRCROOT)/../android/jni/third-party/include\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/lib/vtk.framework/Headers\"",
"\"$(SRCROOT)/RTABMapApp/Libraries/include/opencv4\"",
);
TARGETED_DEVICE_FAMILY = "1,2";
VALIDATE_WORKSPACE = NO;
+7
View File
@@ -505,6 +505,13 @@ void setSmoothingNative(const void *object, bool enabled)
else
UERROR("object is null!");
}
void setDepthBleedingErrorNative(const void *object, float value)
{
if(object)
native(object)->setDepthBleedingError(value);
else
UERROR("object is null!");
}
void setAppendModeNative(const void *object, bool enabled)
{
if(object)
+1
View File
@@ -101,6 +101,7 @@ void setGraphVisibleNative(const void *object, bool visible);
void setGridVisibleNative(const void *object, bool visible);
void setFullResolutionNative(const void *object, bool enabled);
void setSmoothingNative(const void *object, bool enabled);
void setDepthBleedingErrorNative(const void *object, float value);
void setAppendModeNative(const void *object, bool enabled);
void setUpstreamRelocalizationAccThrNative(const void *object, float value);
void setMaxCloudDepthNative(const void *object, float value);
+3
View File
@@ -453,6 +453,9 @@ class RTABMap {
func setSmoothing(enabled: Bool) {
setSmoothingNative(native_rtabmap, enabled)
}
func setDepthBleedingError(value: Float) {
setDepthBleedingErrorNative(native_rtabmap, value)
}
func setAppendMode(enabled: Bool) {
setAppendModeNative(native_rtabmap, enabled)
}
+9 -8
View File
@@ -162,7 +162,6 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
func resetNoTouchTimer(_ showHud: Bool = false) {
if(showHud)
{
print("Show HUD")
mMenuOpened = false
mHudVisible = true
setNeedsStatusBarAppearanceUpdate()
@@ -184,7 +183,6 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
}
else if(mState != .STATE_WELCOME && mState != .STATE_CAMERA && presentedViewController as? UIAlertController == nil && !mMenuOpened)
{
print("Hide HUD")
self.mHudVisible = false
self.setNeedsStatusBarAppearanceUpdate()
self.updateState(state: self.mState)
@@ -840,13 +838,11 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.isPaused = true
view?.enableSetNeedsDisplay = true
self.view.setNeedsDisplay()
print("enableSetNeedsDisplay")
}
else
{
view?.enableSetNeedsDisplay = false
self.isPaused = false
print("disableSetNeedsDisplay")
}
if !self.isPaused {
@@ -934,7 +930,6 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
])
// Measuring menu
print("measuringMode = \(measuringMode)")
let measuringMenu = UIMenu(title: "Measuring...", image: UIImage(systemName: "ruler"), children: [
UIAction(title: "Plane to Plane Mode", image: measuringMode == 0 ? UIImage(systemName: "checkmark.circle") : UIImage(systemName: "circle"), handler: { _ in
self.measuringMode = 0
@@ -1516,6 +1511,7 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
rtabmap!.setNodesFiltering(enabled: defaults.bool(forKey: "NodesFiltering"));
rtabmap!.setFullResolution(enabled: defaults.bool(forKey: "HDMode"));
rtabmap!.setSmoothing(enabled: defaults.bool(forKey: "Smoothing"));
rtabmap!.setDepthBleedingError(value: defaults.float(forKey: "DepthBleedingError"));
rtabmap!.setAppendMode(enabled: defaults.bool(forKey: "AppendMode"));
rtabmap!.setUpstreamRelocalizationAccThr(value: defaults.float(forKey: "UpstreamRelocalizationFilteringAccThr"));
rtabmap!.setExportPointCloudFormat(format: defaults.string(forKey: "ExportPointCloudFormat")!);
@@ -1918,7 +1914,9 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
})
}))
let previousState = mState
updateState(state: .STATE_PROCESSING);
present(alertView, animated: true, completion: {
@@ -1989,8 +1987,11 @@ class ViewController: GLKViewController, ARSessionDelegate, RTABMapObserver, UIP
self.updateState(state: .STATE_VISUALIZING)
self.rtabmap!.postExportation(visualize: true)
self.setGLCamera(type: 2)
if previousState != .STATE_VISUALIZING
{
self.setGLCamera(type: 2)
}
if self.openedDatabasePath == nil
{
+89 -67
View File
@@ -2,7 +2,7 @@
set -euxo pipefail
# Tested on Apple Silicon Mac, with cmake 3.19.2.
# Tested on Apple Silicon Mac, with cmake 4.0.2, XCode 16.3.
mkdir -p Libraries
cd Libraries
@@ -28,41 +28,65 @@ sysroot=iphoneos
# Boost
if [ ! -e $prefix/include/boost ]
then
if [ ! -e boost_1_59_0 ]
if [ ! -e boost-1.88.0 ]
then
echo "wget boost..."
curl -L https://downloads.sourceforge.net/project/boost/boost/1.59.0/boost_1_59_0.tar.gz -o boost_1_59_0.tar.gz
tar -xzf boost_1_59_0.tar.gz
curl -L https://github.com/boostorg/boost/releases/download/boost-1.88.0/boost-1.88.0-cmake.tar.gz -o boost-1.88.0-cmake.tar.gz
tar -xzf boost-1.88.0-cmake.tar.gz
fi
cd boost_1_59_0
curl -L https://gist.github.com/matlabbe/0bce8feeb73a499a76afbbcc5c687221/raw/489ff2869eccd6f8d03ffb9090ef839108762741/BoostConfig.cmake.in -o BoostConfig.cmake.in
curl -L https://gist.github.com/matlabbe/0bce8feeb73a499a76afbbcc5c687221/raw/b07fe7d4e5dfe5f1d110c733e5cf660d79a26378/CMakeLists.txt -o CMakeLists.txt
cd boost-1.88.0
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBOOST_INCOMPATIBLE_LIBRARIES="process;context;coroutine;fiber;fiber_numa;log_setup;log;cobalt" -DBOOST_IOSTREAMS_ENABLE_ZLIB=OFF -DBOOST_IOSTREAMS_ENABLE_BZIP2=OFF ..
cmake --build . --config Release
cmake --build . --config Release --target install
cd $pwd
#rm -r boost_1_59_0.tar.gz boost_1_59_0
#rm -r boost-1.88.0-cmake.tar.gz boost-1.88.0
fi
# eigen
if [ ! -e $prefix/include/eigen3 ]
then
if [ ! -e eigen-3.3.9 ]
if [ ! -e eigen-3.4.0 ]
then
echo "wget eigen..."
curl -L https://gitlab.com/libeigen/eigen/-/archive/3.3.9/eigen-3.3.9.tar.gz -o 3.3.9.tar.gz
tar -xzf 3.3.9.tar.gz
curl -L https://gitlab.com/libeigen/eigen/-/archive/3.4.0/eigen-3.4.0.tar.gz -o 3.4.0.tar.gz
tar -xzf 3.4.0.tar.gz
fi
cd eigen-3.3.9
cd eigen-3.4.0
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix ..
cmake --build . --config Release
cmake --build . --config Release --target install
cd $pwd
#rm -r 3.3.9.tar.gz eigen-3.3.9
#rm -r 3.4.0.tar.gz eigen-3.4.0
fi
# lz4 (required by flann)
if [ ! -e $prefix/include/lz4.h ]
then
if [ ! -e lz4 ]
then
echo "wget lz4..."
git clone https://github.com/lz4/lz4.git -b v1.10.0
fi
cd lz4
if [ ! -e LZ4Config.cmake.in ]
then
curl -L https://gist.githubusercontent.com/matlabbe/abd0242305c29495bbba26065269daf2/raw/ad0b1865c02e61449f58358fdc4ddbed3cb5fb87/LZ4Config.cmake.in -o LZ4Config.cmake.in
fi
if [ ! -e CMakeLists.txt ]
then
curl -L https://gist.githubusercontent.com/matlabbe/abd0242305c29495bbba26065269daf2/raw/ad0b1865c02e61449f58358fdc4ddbed3cb5fb87/CMakeLists.txt -o CMakeLists.txt
fi
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix ..
cmake --build . --config Release -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cmake --build . --config Release --target install -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cd $pwd
#rm -r lz4
fi
# FLANN
@@ -71,19 +95,17 @@ then
if [ ! -e flann ]
then
echo "wget flann..."
git clone https://github.com/flann-lib/flann.git -b 1.8.4
git clone https://github.com/flann-lib/flann.git -b 1.9.2
fi
cd flann
if [ ! -e flann_ios.patch ]
if [ ! -e flann_ios_lz4.patch ]
then
curl -L https://gist.githubusercontent.com/matlabbe/c858ba36fb85d5e44d8667dfb3543e12/raw/8fc40aa9bc3267604869444020476a49f14ab424/flann_ios.patch -o flann_ios.patch
git apply flann_ios.patch
curl -L https://gist.githubusercontent.com/matlabbe/c858ba36fb85d5e44d8667dfb3543e12/raw/2586a356dec2b11440ec3c1bb113e709e1266d97/flann_ios_lz4.patch -o flann_ios_lz4.patch
git apply flann_ios_lz4.patch
fi
mkdir -p build
cd build
# comment "add_subdirectory( test )" in top CMakeLists.txt
# comment "add_subdirectory( doc )" in top CMakeLists.txt
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBUILD_PYTHON_BINDINGS=OFF -DBUILD_MATLAB_BINDINGS=OFF -DBUILD_C_BINDINGS=OFF ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBUILD_PYTHON_BINDINGS=OFF -DBUILD_MATLAB_BINDINGS=OFF -DBUILD_C_BINDINGS=OFF -DBUILD_EXAMPLES=OFF -DBUILD_TESTS=OFF -DBUILD_DOC=OFF -DUSE_OPENMP=OFF -DLZ4_DIR=$prefix/lib/lz4 ..
cmake --build . --config Release -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cmake --build . --config Release --target install -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cd $pwd
@@ -95,17 +117,14 @@ if [ ! -e $prefix/include/gtsam ]
then
if [ ! -e gtsam ]
then
git clone https://bitbucket.org/gtborg/gtsam.git
cd gtsam
git checkout fbb9d3bdda8b88df51896bc401bfd170573e66f5
else
cd gtsam
git clone https://github.com/borglab/gtsam.git -b 4.2
fi
cd gtsam
# patch
if [ ! -e gtsam_GKlib_ios_fix.patch ]
if [ ! -e gtsam_4_2_ios.patch ]
then
curl -L https://gist.github.com/matlabbe/76d658dddb841b3355ae3a6e32850cd8/raw/7033cba1c89097b0c830651d7277c04dc92cbdd9/gtsam_GKlib_ios_fix.patch -o gtsam_GKlib_ios_fix.patch
git apply gtsam_GKlib_ios_fix.patch
curl -L https://gist.githubusercontent.com/matlabbe/76d658dddb841b3355ae3a6e32850cd8/raw/e7355348c2d536ec50f41effa775ed251ae4e045/gtsam_4_2_ios.patch -o gtsam_4_2_ios.patch
git apply gtsam_4_2_ios.patch
fi
mkdir -p build
cd build
@@ -116,22 +135,36 @@ cd $pwd
#rm -rf gtsam
fi
# suitesparse (dependency of g2o)
if [ ! -e $prefix/include/suitesparse/SuiteSparse_config.h ]
then
if [ ! -e SuiteSparse ]
then
git clone https://github.com/DrTimothyAldenDavis/SuiteSparse.git -b v7.6.1
fi
cd SuiteSparse
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DSUITESPARSE_USE_OPENMP=OFF -DSUITESPARSE_ENABLE_PROJECTS="cholmod;cxsparse;spqr" ..
cmake --build . --config Release -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cmake --build . --config Release --target install -- CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED="NO" CODE_SIGN_ENTITLEMENTS="" CODE_SIGNING_ALLOWED="NO"
cd $pwd
fi
# g2o
if [ ! -e $prefix/include/g2o ]
then
if [ ! -e g2o ]
then
git clone https://github.com/RainerKuemmerle/g2o.git
cd g2o
git checkout a3f7706bdbb849b2808dc3e1b7aee189f63b498e
else
cd g2o
git clone https://github.com/RainerKuemmerle/g2o.git -b 20241228_git
fi
cd g2o
# patch
if [ ! -e g2o_ios_fix.patch ]
if [ ! -e g2o_20241228_ios.patch ]
then
curl -L https://gist.github.com/matlabbe/b9ccfeae8f0744b275cab23510872680/raw/a58e06accba3976420d4b61341685c123193810e/g2o_ios_fix.patch -o g2o_ios_fix.patch
git apply g2o_ios_fix.patch
ls
curl -L https://gist.githubusercontent.com/matlabbe/b9ccfeae8f0744b275cab23510872680/raw/6fe2ffe5ba8fba59171adbd2f38f9c3999c61f75/g2o_20241228_ios.patch -o g2o_20241228_ios.patch
git apply g2o_20241228_ios.patch
fi
mkdir -p build
cd build
@@ -149,11 +182,10 @@ if [ ! -e VTK ]
then
git clone https://github.com/Kitware/VTK.git
cd VTK
git checkout tags/v8.2.0
git checkout tags/v9.5.0.rc1
else
cd VTK
fi
git cherry-pick bf3ae8072df2393c7270509bae41be0776826346
mkdir -p build
cd build
cmake -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_FRAMEWORK_INSTALL_PREFIX=$prefix/lib -DIOS_DEVICE_ARCHITECTURES="arm64" -DIOS_SIMULATOR_ARCHITECTURES="" -DBUILD_EXAMPLES=OFF -DBUILD_TESTING=OFF -DVTK_IOS_BUILD=ON -DModule_vtkFiltersModeling=ON ..
@@ -163,26 +195,28 @@ cd $pwd
#rm -rf VTK
fi
# PCL
if [ ! -e $prefix/include/pcl-1.11 ]
if [ ! -e $prefix/include/pcl-1.15 ]
then
if [ ! -e pcl ]
then
git clone https://github.com/PointCloudLibrary/pcl.git
cd pcl
git checkout tags/pcl-1.11.1
git checkout tags/pcl-1.15.0
else
cd pcl
fi
# patch
if [ ! -e pcl_1_11_1_vtk_ios_support.patch ]
if [ ! -e pcl_1_15_0_ios.patch ]
then
curl -L https://gist.github.com/matlabbe/f3ba9366eb91e1b855dadd2ddce5746d/raw/6869cf26211ab15492599e557b0e729b23b2c119/pcl_1_11_1_vtk_ios_support.patch -o pcl_1_11_1_vtk_ios_support.patch
git apply pcl_1_11_1_vtk_ios_support.patch
curl -L https://gist.githubusercontent.com/matlabbe/f3ba9366eb91e1b855dadd2ddce5746d/raw/7231688d7fb9e86df72ca7c5f355d6b9727205d5/pcl_1_15_0_ios.patch -o pcl_1_15_0_ios.patch
git apply pcl_1_15_0_ios.patch
fi
mkdir -p build
cd build
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBUILD_apps=OFF -DBUILD_examples=OFF -DBUILD_tools=OFF -DBUILD_visualization=OFF -DBUILD_tracking=OFF -DBUILD_people=OFF -DBUILD_global_tests=OFF -DWITH_QT=OFF -DWITH_OPENGL=OFF -DWITH_VTK=ON -DPCL_SHARED_LIBS=OFF -DPCL_ENABLE_SSE=OFF -DCMAKE_FIND_ROOT_PATH=$prefix ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DBUILD_apps=OFF -DBUILD_examples=OFF -DBUILD_tools=OFF -DBUILD_visualization=OFF -DBUILD_tracking=OFF -DBUILD_people=OFF -DBUILD_recognition=OFF -DBUILD_global_tests=OFF -DWITH_QT=OFF -DWITH_OPENGL=OFF -DWITH_OPENMP=OFF -DWITH_VTK=ON -DPCL_FLANN_REQUIRED_TYPE=STATIC -DPCL_SHARED_LIBS=OFF -DPCL_ENABLE_SSE=OFF -DCMAKE_FIND_ROOT_PATH=$prefix ..
cmake --build . --config Release
cmake --build . --config Release --target install
cd $pwd
@@ -190,32 +224,21 @@ cd $pwd
fi
# OpenCV
if [ ! -e $prefix/include/opencv2 ]
if [ ! -e $prefix/include/opencv4 ]
then
if [ ! -e opencv_contrib ]
then
git clone https://github.com/opencv/opencv_contrib.git
cd opencv_contrib
git checkout tags/3.4.2
git clone https://github.com/opencv/opencv_contrib.git -b 4.11.0
fi
cd $pwd
if [ ! -e opencv ]
then
git clone https://github.com/opencv/opencv.git
cd opencv
git checkout tags/3.4.2
else
cd opencv
fi
if [ ! -e opencv_ios.patch ]
then
curl -L https://gist.githubusercontent.com/matlabbe/fdc3ab4854f3a68fbde7277f543b4e5b/raw/f340839c09165056d3845645df24b76507542fd2/opencv_ios.patch -o opencv_ios.patch
git apply opencv_ios.patch
git clone https://github.com/opencv/opencv.git -b 4.11.0
fi
cd opencv
mkdir -p build
cd build
# add "add_definitions(-DPNG_ARM_NEON_OPT=0)" in 3rdparty/libpng/CMakeLists.txt
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DOPENCV_EXTRA_MODULES_PATH=$prefix/opencv_contrib/modules -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DWITH_CUDA=OFF -DBUILD_opencv_apps=OFF -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_stereo=OFF ..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DOPENCV_EXTRA_MODULES_PATH=$prefix/opencv_contrib/modules -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DWITH_CUDA=OFF -DWITH_WEBP=OFF -DWITH_OPENEXR=OFF -DBUILD_opencv_apps=OFF -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_stereo=OFF -DOPENCV_ENABLE_NONFREE=ON ..
cmake --build . --config Release
cmake --build . --config Release --target install
cd $pwd
@@ -228,12 +251,10 @@ if [ ! -e $prefix/include/laszip ]
then
if [ ! -e LASzip ]
then
git clone https://github.com/LASzip/LASzip.git
cd LASzip
git checkout 2.0.1
else
cd LASzip
git clone https://github.com/LASzip/LASzip.git -b 2.0.1
fi
cd LASzip
sed -i '' 's/cmake_minimum_required(VERSION 2.6.0)/cmake_minimum_required(VERSION 3.5)/g' CMakeLists.txt
sed -i '' 's/add_subdirectory(tools)/#add_subdirectory(tools)/g' CMakeLists.txt
mkdir -p build
cd build
@@ -251,6 +272,7 @@ then
git clone https://github.com/libLAS/libLAS.git
fi
cd libLAS
sed -i '' 's/cmake_minimum_required(VERSION 2.8.11)/cmake_minimum_required(VERSION 3.5)/g' CMakeLists.txt
sed -i '' 's/SHARED/STATIC/g' src/CMakeLists.txt
mkdir -p build
cd build
@@ -266,6 +288,6 @@ cmake -DANDROID_PREBUILD=ON ../../../../..
cmake --build . --config Release
mkdir -p ios
cd ios
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DWITH_QT=OFF -DBUILD_APP=OFF -DBUILD_TOOLS=OFF -DWITH_TORO=OFF -DWITH_VERTIGO=OFF -DWITH_MADGWICK=OFF -DWITH_ORB_OCTREE=OFF -DBUILD_EXAMPLES=OFF -DWITH_LIBLAS=ON ../../../../../..
cmake -G Xcode -DCMAKE_SYSTEM_NAME=iOS -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_SYSROOT=$sysroot -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0 -DCMAKE_INSTALL_PREFIX=$prefix -DCMAKE_FIND_ROOT_PATH=$prefix -DWITH_QT=OFF -DBUILD_APP=OFF -DBUILD_TOOLS=OFF -DWITH_TORO=OFF -DWITH_VERTIGO=OFF -DWITH_MADGWICK=OFF -DWITH_ORB_OCTREE=ON -DBUILD_EXAMPLES=OFF -DWITH_LIBLAS=ON ../../../../../..
cmake --build . --config Release
cmake --build . --config Release --target install
+52 -6
View File
@@ -58,7 +58,7 @@
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>Choosing between high and low depth confidence depends on the application. If precise geometry is critical, prioritize high depth confidence even if it means fewer points. If you need a dense point cloud for analysis, even in areas with weak LiDAR signal, a lower depth confidence might be suitable at the cost of highly interpolated points (that could give a wavy look of some surfaces). Important: the points with too low confidence are not saved in the db file, so we cannot recover or filter these points in post-processing.</string>
<string>Choosing between high and low depth confidence depends on the application. If precise geometry is critical, prioritize high depth confidence even if it means fewer points. If you need a dense point cloud for analysis, even in areas with weak LiDAR signal, a lower depth confidence might be suitable at the cost of highly interpolated points (that could give a wavy look of some surfaces). Note: it is possible to change confidence level in post-processing.</string>
</dict>
<dict>
<key>DefaultValue</key>
@@ -86,7 +86,7 @@
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>Smooth the point clouds.</string>
<string>Smooth the point clouds. Note that this can be changed in post-processing.</string>
</dict>
<dict>
<key>Type</key>
@@ -98,6 +98,44 @@
<key>DefaultValue</key>
<false/>
</dict>
<dict>
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>Filter interpolated depth pixels between foreground and background objects. Note that values can be changed in post-processing.</string>
</dict>
<dict>
<key>Type</key>
<string>PSMultiValueSpecifier</string>
<key>Title</key>
<string>Depth Bleeding Filter Error</string>
<key>Key</key>
<string>DepthBleedingError</string>
<key>DefaultValue</key>
<string>0</string>
<key>Titles</key>
<array>
<string>Disabled</string>
<string>2.5 cm</string>
<string>5 cm</string>
<string>10 cm</string>
<string>15 cm</string>
<string>20 cm</string>
<string>25 cm</string>
<string>30 cm</string>
</array>
<key>Values</key>
<array>
<string>0</string>
<string>0.025</string>
<string>0.05</string>
<string>0.10</string>
<string>0.15</string>
<string>0.20</string>
<string>0.25</string>
<string>0.30</string>
</array>
</dict>
<dict>
<key>Type</key>
<string>PSGroupSpecifier</string>
@@ -590,7 +628,7 @@
<key>Type</key>
<string>PSGroupSpecifier</string>
<key>FooterText</key>
<string>BRIEF features are fast to compute but are not rotation invariant like FREAK. Warning: Changing feature type will automatically reset the map!</string>
<string>BRIEF, FREAK and ORB are binary features, which are fast to compute and use less memory. SURF and SIFT are high dimensional float descriptors (rotation/scale/shear-invariant), so they use more memory and CPU but they are significantly better to detect loop closures in large environments. Warning: Changing feature type will automatically reset the map!</string>
</dict>
<dict>
<key>Type</key>
@@ -603,13 +641,21 @@
<string>6</string>
<key>Titles</key>
<array>
<string>BRIEF</string>
<string>FREAK</string>
<string>SURF</string>
<string>SIFT</string>
<string>GFTT-FREAK</string>
<string>GFTT-BRIEF</string>
<string>GFTT-ORB</string>
<string>ORB-OCTREE</string>
</array>
<key>Values</key>
<array>
<string>6</string>
<string>0</string>
<string>1</string>
<string>5</string>
<string>6</string>
<string>8</string>
<string>10</string>
</array>
</dict>
<dict>
+1 -1
View File
@@ -494,7 +494,7 @@
</dict>
<dict>
<key>DefaultValue</key>
<string>0.21.11</string>
<string>0.22.0</string>
<key>Key</key>
<string>Version</string>
<key>Title</key>
+54 -2
View File
@@ -78,6 +78,16 @@ public:
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// RGB-D constructor + depth confidence
SensorData(
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depth_confidence,
const CameraModel & cameraModel,
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// RGB-D constructor + laser scan
SensorData(
const LaserScan & laserScan,
@@ -87,6 +97,17 @@ public:
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// RGB-D constructor + confidence + laser scan
SensorData(
const LaserScan & laserScan,
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const CameraModel & cameraModel,
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Multi-cameras RGB-D constructor
SensorData(
@@ -96,6 +117,16 @@ public:
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Multi-cameras RGB-D constructor + depth confidence
SensorData(
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const std::vector<CameraModel> & cameraModels,
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Multi-cameras RGB-D constructor + laser scan
SensorData(
@@ -107,6 +138,17 @@ public:
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Multi-cameras RGB-D constructor + depth confidence + laser scan
SensorData(
const LaserScan & laserScan,
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const std::vector<CameraModel> & cameraModels,
int id = 0,
double stamp = 0.0,
const cv::Mat & userData = cv::Mat());
// Stereo constructor
SensorData(
const cv::Mat & left,
@@ -160,6 +202,8 @@ public:
_imageCompressed.empty() &&
_depthOrRightRaw.empty() &&
_depthOrRightCompressed.empty() &&
_depthConfidenceRaw.empty() &&
_depthConfidenceCompressed.empty() &&
_laserScanRaw.isEmpty() &&
_laserScanCompressed.isEmpty() &&
_cameraModels.empty() &&
@@ -178,10 +222,12 @@ public:
const cv::Mat & imageCompressed() const {return _imageCompressed;}
const cv::Mat & depthOrRightCompressed() const {return _depthOrRightCompressed;}
const cv::Mat & depthConfidenceCompressed() const {return _depthConfidenceCompressed;}
const LaserScan & laserScanCompressed() const {return _laserScanCompressed;}
const cv::Mat & imageRaw() const {return _imageRaw;}
const cv::Mat & depthOrRightRaw() const {return _depthOrRightRaw;}
const cv::Mat & depthConfidenceRaw() const {return _depthConfidenceRaw;}
const LaserScan & laserScanRaw() const {return _laserScanRaw;}
/**
@@ -190,7 +236,9 @@ public:
* @param clearPreviousData, clear previous raw and compressed images before setting the new ones.
*/
void setRGBDImage(const cv::Mat & rgb, const cv::Mat & depth, const CameraModel & model, bool clearPreviousData = true);
void setRGBDImage(const cv::Mat & rgb, const cv::Mat & depth, const cv::Mat & depth_confidence, const CameraModel & model, bool clearPreviousData = true);
void setRGBDImage(const cv::Mat & rgb, const cv::Mat & depth, const std::vector<CameraModel> & models, bool clearPreviousData = true);
void setRGBDImage(const cv::Mat & rgb, const cv::Mat & depth, const cv::Mat & depth_confidence, const std::vector<CameraModel> & models, bool clearPreviousData = true);
void setStereoImage(const cv::Mat & left, const cv::Mat & right, const StereoCameraModel & stereoCameraModel, bool clearPreviousData = true);
void setStereoImage(const cv::Mat & left, const cv::Mat & right, const std::vector<StereoCameraModel> & stereoCameraModels, bool clearPreviousData = true);
@@ -227,7 +275,8 @@ public:
cv::Mat * userDataRaw = 0,
cv::Mat * groundCellsRaw = 0,
cv::Mat * obstacleCellsRaw = 0,
cv::Mat * emptyCellsRaw = 0);
cv::Mat * emptyCellsRaw = 0,
cv::Mat * depthConfidenceRaw = 0);
void uncompressDataConst(
cv::Mat * imageRaw,
cv::Mat * depthOrRightRaw,
@@ -235,7 +284,8 @@ public:
cv::Mat * userDataRaw = 0,
cv::Mat * groundCellsRaw = 0,
cv::Mat * obstacleCellsRaw = 0,
cv::Mat * emptyCellsRaw = 0) const;
cv::Mat * emptyCellsRaw = 0,
cv::Mat * depthConfidenceRaw = 0) const;
const std::vector<CameraModel> & cameraModels() const {return _cameraModels;}
const std::vector<StereoCameraModel> & stereoCameraModels() const {return _stereoCameraModels;}
@@ -327,10 +377,12 @@ private:
cv::Mat _imageCompressed; // compressed image
cv::Mat _depthOrRightCompressed; // compressed image
cv::Mat _depthConfidenceCompressed; // compressed data
LaserScan _laserScanCompressed; // compressed data
cv::Mat _imageRaw; // CV_8UC1 or CV_8UC3
cv::Mat _depthOrRightRaw; // depth CV_16UC1 or CV_32FC1, right image CV_8UC1 or CV_8UC3
cv::Mat _depthConfidenceRaw; // CV_8UC1
LaserScan _laserScanRaw;
std::vector<CameraModel> _cameraModels;
+1 -1
View File
@@ -113,7 +113,7 @@ public:
void getTranslationAndEulerAngles(float & x, float & y, float & z, float & roll, float & pitch, float & yaw) const;
void getEulerAngles(float & roll, float & pitch, float & yaw) const;
void getTranslation(float & x, float & y, float & z) const;
float getAngle(float x=1.0f, float y=0.0f, float z=0.0f) const;
float getAngle(const Transform & t) const;
float getNorm() const;
float getNormSquared() const;
float getDistance(const Transform & t) const;
+12
View File
@@ -513,6 +513,14 @@ cv::Mat RTABMAP_CORE_EXPORT registerDepth(
const cv::Size & colorSize,
const cv::Mat & colorK,
const rtabmap::Transform & transform);
cv::Mat RTABMAP_CORE_EXPORT registerDepth(
const cv::Mat & depth,
const cv::Mat & confidence,
const cv::Mat & depthK,
const cv::Size & colorSize,
const cv::Mat & colorK,
const rtabmap::Transform & transform,
cv::Mat & registeredConfidence);
/**
* @brief Fills holes in the depth image using linear interpolation.
@@ -598,6 +606,10 @@ cv::Mat RTABMAP_CORE_EXPORT fastBilateralFiltering(
float sigmaR = 0.05f,
bool earlyDivision = false);
void RTABMAP_CORE_EXPORT depthBleedingFiltering(
cv::Mat & depth,
float maxDepthError);
/**
* @brief Automatic brightness and contrast optimization with optional histogram clipping.
*
+27 -4
View File
@@ -211,6 +211,15 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_CORE_EXPORT cloudFromDepth(
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_CORE_EXPORT cloudFromDepth(
const cv::Mat & imageDepth,
const cv::Mat & imageDepthConfidence,
const CameraModel & model,
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
unsigned char confidenceThr = 0,
std::vector<int> * validIndices = 0);
/**
* @brief Creates a point cloud from an RGB image and a depth image.
@@ -276,6 +285,16 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_CORE_EXPORT cloudFromDepthRGB(
float maxDepth = 0.0f,
float minDepth = 0.0f,
std::vector<int> * validIndices = 0);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_CORE_EXPORT cloudFromDepthRGB(
const cv::Mat & imageRgb,
const cv::Mat & imageDepth,
const cv::Mat & imageDepthConfidence,
const CameraModel & model,
int decimation = 1,
float maxDepth = 0.0f,
float minDepth = 0.0f,
unsigned char confidenceThr = 0, // 0=low, 100=high
std::vector<int> * validIndices = 0);
/**
* @brief Converts a disparity image to a 3D point cloud.
@@ -447,7 +466,8 @@ std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> RTABMAP_CORE_EXPORT cloudsFromS
float minDepth = 0.0f,
std::vector<pcl::IndicesPtr> * validIndices = 0,
const ParametersMap & stereoParameters = ParametersMap(),
const std::vector<float> & roiRatios = std::vector<float>()); // ignored for stereo
const std::vector<float> & roiRatios = std::vector<float>(), // ignored for stereo
unsigned char confidenceThr = 0); // ignored for stereo
/**
* @brief Generates a point cloud from sensor data.
@@ -484,7 +504,8 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_CORE_EXPORT cloudFromSensorData(
float minDepth = 0.0f,
std::vector<int> * validIndices = 0,
const ParametersMap & stereoParameters = ParametersMap(),
const std::vector<float> & roiRatios = std::vector<float>()); // ignored for stereo
const std::vector<float> & roiRatios = std::vector<float>(), // ignored for stereo
unsigned char confidenceThr = 0); // ignored for stereo
/**
* @brief Generates a point cloud with RGB color data from sensor data.
@@ -525,7 +546,8 @@ std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> RTABMAP_CORE_EXPORT cloudsRG
float minDepth = 0.0f,
std::vector<pcl::IndicesPtr > * validIndices = 0,
const ParametersMap & stereoParameters = ParametersMap(),
const std::vector<float> & roiRatios = std::vector<float>()); // ignored for stereo
const std::vector<float> & roiRatios = std::vector<float>(), // ignored for stereo
unsigned char confidenceThr = 0); // ignored for stereo
/**
* @brief Generates a point cloud of type pcl::PointXYZRGB from sensor data.
@@ -560,7 +582,8 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_CORE_EXPORT cloudRGBFromSensorDat
float minDepth = 0.0f,
std::vector<int> * validIndices = 0,
const ParametersMap & stereoParameters = ParametersMap(),
const std::vector<float> & roiRatios = std::vector<float>()); // ignored for stereo
const std::vector<float> & roiRatios = std::vector<float>(), // ignored for stereo
unsigned char confidenceThr = 0); // ignored for stereo
/**
* @brief Converts the middle row of a depth image into a laser scan (point cloud) using camera intrinsics and a local transformation.
+1
View File
@@ -816,6 +816,7 @@ CONFIGURE_FILE(${CMAKE_CURRENT_SOURCE_DIR}/resources/DatabaseSchema.sql.in ${CMA
SET(RESOURCES
${CMAKE_CURRENT_SOURCE_DIR}/resources/DatabaseSchema.sql
${CMAKE_CURRENT_SOURCE_DIR}/resources/backward_compatibility/DatabaseSchema_0_20_0.sql
${CMAKE_CURRENT_SOURCE_DIR}/resources/backward_compatibility/DatabaseSchema_0_18_3.sql
${CMAKE_CURRENT_SOURCE_DIR}/resources/backward_compatibility/DatabaseSchema_0_18_0.sql
${CMAKE_CURRENT_SOURCE_DIR}/resources/backward_compatibility/DatabaseSchema_0_17_0.sql
+49 -6
View File
@@ -34,6 +34,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "rtabmap/core/util3d.h"
#include "rtabmap/core/Compression.h"
#include "DatabaseSchema_sql.h"
#include "DatabaseSchema_0_20_0_sql.h"
#include "DatabaseSchema_0_18_3_sql.h"
#include "DatabaseSchema_0_18_0_sql.h"
#include "DatabaseSchema_0_17_0_sql.h"
@@ -402,6 +403,7 @@ bool DBDriverSqlite3::connectDatabaseQuery(const std::string & url, bool overwri
schemas.push_back(std::make_pair("0.17.0", DATABASESCHEMA_0_17_0_SQL));
schemas.push_back(std::make_pair("0.18.0", DATABASESCHEMA_0_18_0_SQL));
schemas.push_back(std::make_pair("0.18.3", DATABASESCHEMA_0_18_3_SQL));
schemas.push_back(std::make_pair("0.20.0", DATABASESCHEMA_0_20_0_SQL));
schemas.push_back(std::make_pair(uNumber2Str(RTABMAP_VERSION_MAJOR)+"."+uNumber2Str(RTABMAP_VERSION_MINOR), DATABASESCHEMA_SQL));
for(size_t i=0; i<schemas.size(); ++i)
{
@@ -1317,7 +1319,15 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures, boo
if(images)
{
fields << "image, depth, calibration";
if(uStrNumCmp(_version, "0.22.0") >= 0)
{
fields << "image, depth, depth_confidence, calibration";
}
else
{
fields << "image, depth, calibration";
}
if(scan || userData || occupancyGrid)
{
fields << ", ";
@@ -1448,6 +1458,7 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures, boo
cv::Mat imageCompressed;
cv::Mat depthOrRightCompressed;
cv::Mat depthConfidenceCompressed;
std::vector<CameraModel> models;
std::vector<StereoCameraModel> stereoModels;
Transform localTransform = Transform::getIdentity();
@@ -1472,6 +1483,17 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures, boo
depthOrRightCompressed = cv::Mat(1, dataSize, CV_8UC1, (void *)data).clone();
}
if(uStrNumCmp(_version, "0.22.0") >= 0)
{
//Create the depth image
data = sqlite3_column_blob(ppStmt, index);
dataSize = sqlite3_column_bytes(ppStmt, index++);
if(dataSize>4 && data)
{
depthConfidenceCompressed = cv::Mat(1, dataSize, CV_8UC1, (void *)data).clone();
}
}
if(uStrNumCmp(_version, "0.10.0") < 0)
{
data = sqlite3_column_blob(ppStmt, index); // local transform
@@ -1823,7 +1845,7 @@ void DBDriverSqlite3::loadNodeDataQuery(std::list<Signature *> & signatures, boo
{
if(models.size())
{
(*iter)->sensorData().setRGBDImage(imageCompressed, depthOrRightCompressed, models);
(*iter)->sensorData().setRGBDImage(imageCompressed, depthOrRightCompressed, depthConfidenceCompressed, models);
}
else
{
@@ -4478,6 +4500,7 @@ void DBDriverSqlite3::saveQuery(const std::list<Signature *> & signatures)
{
if(!(*i)->sensorData().imageCompressed().empty() ||
!(*i)->sensorData().depthOrRightCompressed().empty() ||
!(*i)->sensorData().depthConfidenceCompressed().empty() ||
!(*i)->sensorData().laserScanCompressed().isEmpty() ||
!(*i)->sensorData().userDataCompressed().empty() ||
!(*i)->sensorData().cameraModels().empty() ||
@@ -5503,7 +5526,7 @@ cv::Mat DBDriverSqlite3::loadOptimizedMeshQuery(
materialPolygons[p][i] = serializedPolygons.at<int>(t + p*polygonSize + i);
}
}
t+=materialPolygons.size()*polygonSize;
t+=materialPolygons.size()*polygonSize-1;
polygons->push_back(materialPolygons);
}
}
@@ -5520,7 +5543,7 @@ cv::Mat DBDriverSqlite3::loadOptimizedMeshQuery(
UASSERT(serializedTexCoords.total());
for(int t=0; t<serializedTexCoords.cols; ++t)
{
UASSERT(int(serializedTexCoords.at<float>(t)) > 0);
UASSERT_MSG(int(serializedTexCoords.at<float>(t)) > 0, uFormat("serializedTexCoords.at<float>(%d)=%f", t, serializedTexCoords.at<float>(t)).c_str());
#if PCL_VERSION_COMPARE(>=, 1, 8, 0)
std::vector<Eigen::Vector2f, Eigen::aligned_allocator<Eigen::Vector2f> > materialtexCoords(int(serializedTexCoords.at<float>(t)));
#else
@@ -5533,8 +5556,10 @@ cv::Mat DBDriverSqlite3::loadOptimizedMeshQuery(
{
materialtexCoords[p][0] = serializedTexCoords.at<float>(t + p*2);
materialtexCoords[p][1] = serializedTexCoords.at<float>(t + p*2 + 1);
UASSERT(materialtexCoords[p][0]>=0.0f && materialtexCoords[p][0] <= 1.0f);
UASSERT(materialtexCoords[p][1]>=0.0f && materialtexCoords[p][1] <= 1.0f);
}
t+=materialtexCoords.size()*2;
t+=materialtexCoords.size()*2-1;
texCoords->push_back(materialtexCoords);
}
}
@@ -6186,7 +6211,11 @@ void DBDriverSqlite3::stepScanUpdate(sqlite3_stmt * ppStmt, int nodeId, const La
std::string DBDriverSqlite3::queryStepSensorData() const
{
UASSERT(uStrNumCmp(_version, "0.10.0") >= 0);
if(uStrNumCmp(_version, "0.16.0") >= 0)
if(uStrNumCmp(_version, "0.22.0") >= 0)
{
return "INSERT INTO Data(id, image, depth, depth_confidence, calibration, scan_info, scan, user_data, ground_cells, obstacle_cells, empty_cells, cell_size, view_point_x, view_point_y, view_point_z) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?);";
}
else if(uStrNumCmp(_version, "0.16.0") >= 0)
{
return "INSERT INTO Data(id, image, depth, calibration, scan_info, scan, user_data, ground_cells, obstacle_cells, empty_cells, cell_size, view_point_x, view_point_y, view_point_z) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?,?);";
}
@@ -6250,6 +6279,20 @@ void DBDriverSqlite3::stepSensorData(sqlite3_stmt * ppStmt,
}
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
//depth confidence
if(uStrNumCmp(_version, "0.22.0") >= 0)
{
if(!sensorData.depthConfidenceCompressed().empty())
{
rc = sqlite3_bind_blob(ppStmt, index++, sensorData.depthConfidenceCompressed().data, (int)sensorData.depthConfidenceCompressed().cols, SQLITE_STATIC);
}
else
{
rc = sqlite3_bind_null(ppStmt, index++);
}
UASSERT_MSG(rc == SQLITE_OK, uFormat("DB error (%s): %s", _version.c_str(), sqlite3_errmsg(_ppDb)).c_str());
}
// calibration
std::vector<unsigned char> calibrationData;
std::vector<float> calibration;
+16 -2
View File
@@ -607,6 +607,7 @@ SensorData DBReader::getNextData(SensorCaptureInfo * info)
// update images and local transforms
cv::Mat combinedImages;
cv::Mat combinedDepthImages;
cv::Mat combinedDepthConfidenceImages;
std::vector<CameraModel> combinedModels;
std::vector<StereoCameraModel> combinedStereoModels;
for(size_t i=0; i<_cameraIndices.size(); ++i)
@@ -645,6 +646,18 @@ SensorData DBReader::getNextData(SensorCaptureInfo * info)
fromROI = cv::Mat(data.depthOrRightRaw(), cv::Rect(_cameraIndices[i]*subImageWidth, 0, subImageWidth, data.depthOrRightRaw().rows));
toROI = cv::Mat(combinedDepthImages, cv::Rect(addedCameras*subImageWidth, 0, subImageWidth, combinedDepthImages.rows));
fromROI.copyTo(toROI);
if(!data.depthConfidenceRaw().empty())
{
UASSERT(data.depthConfidenceRaw().size() == data.depthOrRightRaw().size());
if(combinedDepthConfidenceImages.empty())
{
combinedDepthConfidenceImages = cv::Mat(data.depthConfidenceRaw().rows, subImageWidth*(_cameraIndices.size()-i), data.depthConfidenceRaw().type());
}
fromROI = cv::Mat(data.depthConfidenceRaw(), cv::Rect(_cameraIndices[i]*subImageWidth, 0, subImageWidth, data.depthConfidenceRaw().rows));
toROI = cv::Mat(combinedDepthConfidenceImages, cv::Rect(addedCameras*subImageWidth, 0, subImageWidth, combinedDepthConfidenceImages.rows));
fromROI.copyTo(toROI);
}
}
if(!data.cameraModels().empty())
@@ -671,7 +684,7 @@ SensorData DBReader::getNextData(SensorCaptureInfo * info)
}
if(!combinedModels.empty())
{
data.setRGBDImage(combinedImages, combinedDepthImages, combinedModels);
data.setRGBDImage(combinedImages, combinedDepthImages, combinedDepthConfidenceImages, combinedModels);
}
else
{
@@ -728,10 +741,11 @@ SensorData DBReader::getNextData(SensorCaptureInfo * info)
}
data.setLandmarks(landmarks);
UDEBUG("Laser=%d RGB/Left=%d Depth/Right=%d, Grid=%d, UserData=%d, GlobalPose=%d, GPS=%d, IMU=%d",
UDEBUG("Laser=%d RGB/Left=%d Depth/Right=%d, Conf=%d, Grid=%d, UserData=%d, GlobalPose=%d, GPS=%d, IMU=%d",
data.laserScanRaw().isEmpty()?0:1,
data.imageRaw().empty()?0:1,
data.depthOrRightRaw().empty()?0:1,
data.depthConfidenceRaw().empty()?0:1,
data.gridCellSize()==0.0f?0:1,
data.userDataRaw().empty()?0:1,
globalPose.isNull()?0:1,
+1 -1
View File
@@ -688,7 +688,7 @@ Feature2D * Feature2D::create(Feature2D::Type type, const ParametersMap & parame
#ifndef RTABMAP_TORCH
if(type == Feature2D::kFeatureSuperPointTorch)
{
UWARN("SupertPoint Torch feature cannot be used as RTAB-Map is not built with the option enabled. GFTT/ORB is used instead.");
UWARN("SuperPoint Torch feature cannot be used as RTAB-Map is not built with the option enabled. GFTT/ORB is used instead.");
type = Feature2D::kFeatureGfttOrb;
}
#endif
+17 -12
View File
@@ -744,9 +744,8 @@ void calcRelativeErrors (
// compute rotational and translational errors
Transform pose_delta_gt = poses_gt[i].inverse()*poses_gt[i+1];
Transform pose_delta_result = poses_result[i].inverse()*poses_result[i+1];
Transform pose_error = pose_delta_result.inverse()*pose_delta_gt;
float r_err = pose_error.getAngle();
float t_err = pose_error.getNorm();
float r_err = pose_delta_result.getAngle(pose_delta_gt);
float t_err = pose_delta_result.getDistance(pose_delta_gt);
// write to file
err.push_back(errors(i,r_err,t_err,0,0));
@@ -993,15 +992,21 @@ void computeMaxGraphErrors(
if(iter->second.type() != Link::kLandmark ||
1.0 / static_cast<double>(iter->second.infMatrix().at<double>(5,5)) < 9999.0)
{
float opt_roll,opt_pitch,opt_yaw;
float link_roll,link_pitch,link_yaw;
t.getEulerAngles(opt_roll, opt_pitch, opt_yaw);
linkT.getEulerAngles(link_roll, link_pitch, link_yaw);
float angularError = uMax3(
force3DoF?0:fabs(opt_roll - link_roll),
force3DoF?0:fabs(opt_pitch - link_pitch),
fabs(opt_yaw - link_yaw));
angularError = angularError>M_PI?2*M_PI-angularError:angularError;
float angularError = 0.0f;
if(force3DoF)
{
float opt_roll,opt_pitch,opt_yaw;
float link_roll,link_pitch,link_yaw;
t.getEulerAngles(opt_roll, opt_pitch, opt_yaw);
linkT.getEulerAngles(link_roll, link_pitch, link_yaw);
angularError = fabs(opt_yaw - link_yaw);
angularError = angularError>M_PI?2*M_PI-angularError:angularError;
}
else
{
angularError = t.getAngle(linkT);
}
UASSERT(iter->second.rotVariance(false)>0.0);
float stddevAngular = sqrt(iter->second.rotVariance(false));
float angularErrorRatio = angularError/stddevAngular;
+19 -3
View File
@@ -4893,9 +4893,10 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
else
{
decimationDepth = (int)ceil(float(data.depthRaw().rows) / float(targetSize));
UASSERT(data.depthConfidenceRaw().empty() || data.depthConfidenceRaw().size() == data.depthRaw().size());
}
}
UDEBUG("decimation rgbOrLeft(rows=%d)=%d, depthOrRight(rows=%d)=%d", data.imageRaw().rows, _imagePreDecimation, data.depthOrRightRaw().rows, decimationDepth);
UDEBUG("decimation rgbOrLeft(rows=%d)=%d, depthOrRight(rows=%d)=%d (conf? %d)", data.imageRaw().rows, _imagePreDecimation, data.depthOrRightRaw().rows, decimationDepth, data.depthConfidenceRaw().empty()?0:1);
std::vector<CameraModel> cameraModels = decimatedData.cameraModels();
for(unsigned int i=0; i<cameraModels.size(); ++i)
@@ -4907,6 +4908,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
decimatedData.setRGBDImage(
util2d::decimate(decimatedData.imageRaw(), _imagePreDecimation),
util2d::decimate(decimatedData.depthOrRightRaw(), decimationDepth),
util2d::decimate(decimatedData.depthConfidenceRaw(), decimationDepth),
cameraModels);
}
@@ -5656,6 +5658,8 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
cv::Mat image = data.imageRaw();
cv::Mat depthOrRightImage = data.depthOrRightRaw();
cv::Mat depthConfidence = data.depthConfidenceRaw();
std::vector<CameraModel> cameraModels = data.cameraModels();
std::vector<StereoCameraModel> stereoCameraModels = data.stereoCameraModels();
@@ -5666,6 +5670,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
{
image = decimatedData.imageRaw();
depthOrRightImage = decimatedData.depthOrRightRaw();
depthConfidence = decimatedData.depthConfidenceRaw();
cameraModels = decimatedData.cameraModels();
stereoCameraModels = decimatedData.stereoCameraModels();
}
@@ -5879,9 +5884,10 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
Signature * s;
if(this->isBinDataKept() && (!isIntermediateNode || _saveIntermediateNodeData))
{
UDEBUG("Bin data kept: rgb=%d, depth=%d, scan=%d, userData=%d",
UDEBUG("Bin data kept: rgb=%d, depth=%d, conf=%d, scan=%d, userData=%d",
image.empty()?0:1,
depthOrRightImage.empty()?0:1,
depthConfidence.empty()?0:1,
laserScan.isEmpty()?0:1,
data.userDataRaw().empty()?0:1);
@@ -5928,12 +5934,14 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
cv::Mat compressedImage;
cv::Mat compressedDepth;
cv::Mat compressedDepthConfidence;
cv::Mat compressedScan;
cv::Mat compressedUserData;
if(_compressionParallelized)
{
rtabmap::CompressionThread ctImage(image, _rgbCompressionFormat);
rtabmap::CompressionThread ctDepth(depthOrRightImage, depthOrRightImage.type() == CV_32FC1 || depthOrRightImage.type() == CV_16UC1?_depthCompressionFormat:_rgbCompressionFormat);
rtabmap::CompressionThread ctDepthConfidence(depthConfidence);
rtabmap::CompressionThread ctLaserScan(laserScan.data());
rtabmap::CompressionThread ctUserData(data.userDataRaw());
if(!image.empty())
@@ -5944,6 +5952,10 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
{
ctDepth.start();
}
if(!depthConfidence.empty())
{
ctDepthConfidence.start();
}
if(!laserScan.isEmpty())
{
ctLaserScan.start();
@@ -5954,11 +5966,13 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
}
ctImage.join();
ctDepth.join();
ctDepthConfidence.join();
ctLaserScan.join();
ctUserData.join();
compressedImage = ctImage.getCompressedData();
compressedDepth = ctDepth.getCompressedData();
compressedDepthConfidence = ctDepthConfidence.getCompressedData();
compressedScan = ctLaserScan.getCompressedData();
compressedUserData = ctUserData.getCompressedData();
}
@@ -5966,6 +5980,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
{
compressedImage = compressImage2(image, _rgbCompressionFormat);
compressedDepth = compressImage2(depthOrRightImage, depthOrRightImage.type() == CV_32FC1 || depthOrRightImage.type() == CV_16UC1?_depthCompressionFormat:_rgbCompressionFormat);
compressedDepthConfidence = compressData2(depthConfidence);
compressedScan = compressData2(laserScan.data());
compressedUserData = compressData2(data.userDataRaw());
}
@@ -6016,6 +6031,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
laserScan.localTransform()),
compressedImage.empty()?data.imageCompressed():compressedImage,
compressedDepth.empty()?data.depthOrRightCompressed():compressedDepth,
compressedDepthConfidence.empty()?data.depthConfidenceCompressed():compressedDepthConfidence,
cameraModels,
id,
0,
@@ -6113,7 +6129,7 @@ Signature * Memory::createSignature(const SensorData & inputData, const Transfor
// set raw data
if(!cameraModels.empty())
{
s->sensorData().setRGBDImage(image, depthOrRightImage, cameraModels, false);
s->sensorData().setRGBDImage(image, depthOrRightImage, depthConfidence, cameraModels, false);
}
else
{
+2 -3
View File
@@ -191,9 +191,8 @@ std::map<std::string, float> OdometryInfo::statistics(const Transform & pose)
{
if(!transform.isNull())
{
rtabmap::Transform diff = transformGroundTruth.inverse()*transform;
stats.insert(std::make_pair("Odometry/TG_error_lin/m", diff.getNorm()));
stats.insert(std::make_pair("Odometry/TG_error_ang/deg", diff.getAngle()*180.0/CV_PI));
stats.insert(std::make_pair("Odometry/TG_error_lin/m", transformGroundTruth.getDistance(transform)));
stats.insert(std::make_pair("Odometry/TG_error_ang/deg", transformGroundTruth.getAngle(transform)*180.0/CV_PI));
}
transformGroundTruth.getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
+6 -7
View File
@@ -1701,7 +1701,7 @@ bool Rtabmap::process(
{
distanceToClosestNodeInTheGraph = sqrt(sqrdDistance);
UDEBUG("Last localization pose = %s, closest node=%d (%f m)", newPose.prettyPrint().c_str(), closestNode, distanceToClosestNodeInTheGraph);
angleToClosestNodeInTheGraph = (newPose.inverse() * _optimizedPoses.at(closestNode)).getAngle();
angleToClosestNodeInTheGraph = newPose.getAngle(_optimizedPoses.at(closestNode));
}
}
@@ -3954,7 +3954,7 @@ bool Rtabmap::process(
{
distanceToClosestNodeInTheGraph = _lastLocalizationPose.getDistance(_optimizedPoses.at(closestNode));
UDEBUG("Last localization pose = %s, updated closest node=%d (%f m)", _lastLocalizationPose.prettyPrint().c_str(), closestNode, distanceToClosestNodeInTheGraph);
angleToClosestNodeInTheGraph = (_lastLocalizationPose.inverse() * _optimizedPoses.at(closestNode)).getAngle();
angleToClosestNodeInTheGraph = _lastLocalizationPose.getAngle(_optimizedPoses.at(closestNode));
}
}
_lastLocalizationPose = _optimizedPoses.at(signature->id()); // update
@@ -4103,16 +4103,15 @@ bool Rtabmap::process(
if(!sLoop->getGroundTruthPose().isNull() && !signature->getGroundTruthPose().isNull())
{
Transform transformGT = sLoop->getGroundTruthPose().inverse() * signature->getGroundTruthPose();
Transform error = loopIter->second.transform().inverse() * transformGT;
statistics_.addStatistic(Statistics::kGtLocalization_linear_error(), error.getNorm());
statistics_.addStatistic(Statistics::kGtLocalization_angular_error(), error.getAngle(1,0,0)*180/M_PI);
statistics_.addStatistic(Statistics::kGtLocalization_linear_error(), loopIter->second.transform().getDistance(transformGT));
statistics_.addStatistic(Statistics::kGtLocalization_angular_error(), loopIter->second.transform().getAngle(transformGT)*180/M_PI);
}
}
_distanceTravelledSinceLastLocalization = 0.0f;
statistics_.addStatistic(Statistics::kLoopMapToOdom_norm(), _mapCorrection.getNorm());
statistics_.addStatistic(Statistics::kLoopMapToOdom_angle(), _mapCorrection.getAngle()*180.0f/M_PI);
statistics_.addStatistic(Statistics::kLoopMapToOdom_angle(), _mapCorrection.getAngle(Transform::getIdentity())*180.0f/M_PI);
_mapCorrection.getTranslationAndEulerAngles(x, y, z, roll, pitch, yaw);
statistics_.addStatistic(Statistics::kLoopMapToOdom_x(), x);
statistics_.addStatistic(Statistics::kLoopMapToOdom_y(), y);
@@ -4126,7 +4125,7 @@ bool Rtabmap::process(
{
Transform odomCorrection = (previousMapCorrection*odomPose).inverse()*_mapCorrection*odomPose;
statistics_.addStatistic(Statistics::kLoopOdom_correction_norm(), odomCorrection.getNorm());
statistics_.addStatistic(Statistics::kLoopOdom_correction_angle(), odomCorrection.getAngle()*180.0f/M_PI);
statistics_.addStatistic(Statistics::kLoopOdom_correction_angle(), odomCorrection.getAngle(Transform::getIdentity())*180.0f/M_PI);
odomCorrection.getTranslationAndEulerAngles(x, y, z, roll, pitch, yaw);
statistics_.addStatistic(Statistics::kLoopOdom_correction_x(), x);
statistics_.addStatistic(Statistics::kLoopOdom_correction_y(), y);
+155 -7
View File
@@ -107,6 +107,25 @@ SensorData::SensorData(
setUserData(userData);
}
// RGB-D constructor + confidence + laser scan
SensorData::SensorData(
const LaserScan & laserScan,
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const CameraModel & cameraModel,
int id,
double stamp,
const cv::Mat & userData) :
_id(id),
_stamp(stamp),
_cellSize(0.0f)
{
setRGBDImage(rgb, depth, depthConfidence, cameraModel);
setLaserScan(laserScan);
setUserData(userData);
}
// Multi-cameras RGB-D constructor
SensorData::SensorData(
const cv::Mat & rgb,
@@ -123,6 +142,23 @@ SensorData::SensorData(
setUserData(userData);
}
// Multi-cameras RGB-D constructor + confidence
SensorData::SensorData(
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const std::vector<CameraModel> & cameraModels,
int id,
double stamp,
const cv::Mat & userData) :
_id(id),
_stamp(stamp),
_cellSize(0.0f)
{
setRGBDImage(rgb, depth, depthConfidence, cameraModels);
setUserData(userData);
}
// Multi-cameras RGB-D constructor + laser scan
SensorData::SensorData(
const LaserScan & laserScan,
@@ -141,6 +177,25 @@ SensorData::SensorData(
setUserData(userData);
}
// Multi-cameras RGB-D constructor + confidence + laser scan
SensorData::SensorData(
const LaserScan & laserScan,
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const std::vector<CameraModel> & cameraModels,
int id,
double stamp,
const cv::Mat & userData) :
_id(id),
_stamp(stamp),
_cellSize(0.0f)
{
setRGBDImage(rgb, depth, depthConfidence, cameraModels);
setLaserScan(laserScan);
setUserData(userData);
}
// Stereo constructor
SensorData::SensorData(
const cv::Mat & left,
@@ -234,9 +289,29 @@ void SensorData::setRGBDImage(
models.push_back(model);
setRGBDImage(rgb, depth, models, clearPreviousData);
}
void SensorData::setRGBDImage(
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const CameraModel & model,
bool clearPreviousData)
{
std::vector<CameraModel> models;
models.push_back(model);
setRGBDImage(rgb, depth, depthConfidence, models, clearPreviousData);
}
void SensorData::setRGBDImage(
const cv::Mat & rgb,
const cv::Mat & depth,
const std::vector<CameraModel> & models,
bool clearPreviousData)
{
setRGBDImage(rgb, depth, cv::Mat(), models, clearPreviousData);
}
void SensorData::setRGBDImage(
const cv::Mat & rgb,
const cv::Mat & depth,
const cv::Mat & depthConfidence,
const std::vector<CameraModel> & models,
bool clearPreviousData)
{
@@ -300,6 +375,30 @@ void SensorData::setRGBDImage(
_depthOrRightRaw = cv::Mat();
_depthOrRightCompressed = cv::Mat();
}
if(depthConfidence.rows == 1)
{
UASSERT(depthConfidence.type() == CV_8UC1); // Bytes
_depthConfidenceCompressed = depthConfidence;
if(clearData)
{
_depthConfidenceRaw = cv::Mat();
}
}
else if(!depthConfidence.empty())
{
UASSERT(depthConfidence.type() == CV_8UC1);
_depthConfidenceRaw = depthConfidence;
if(clearData)
{
_depthConfidenceCompressed = cv::Mat();
}
}
else if(clearData)
{
_depthConfidenceRaw = cv::Mat();
_depthConfidenceCompressed = cv::Mat();
}
}
void SensorData::setStereoImage(
const cv::Mat & left,
@@ -528,7 +627,7 @@ void SensorData::setOccupancyGrid(
void SensorData::uncompressData()
{
cv::Mat tmpA, tmpB, tmpD, tmpE, tmpF, tmpG;
cv::Mat tmpA, tmpB, tmpD, tmpE, tmpF, tmpG, tmpH;
LaserScan tmpC;
uncompressData(_imageCompressed.empty()?0:&tmpA,
_depthOrRightCompressed.empty()?0:&tmpB,
@@ -536,7 +635,8 @@ void SensorData::uncompressData()
_userDataCompressed.empty()?0:&tmpD,
_groundCellsCompressed.empty()?0:&tmpE,
_obstacleCellsCompressed.empty()?0:&tmpF,
_emptyCellsCompressed.empty()?0:&tmpG);
_emptyCellsCompressed.empty()?0:&tmpG,
_depthConfidenceCompressed.empty()?0:&tmpH);
}
void SensorData::uncompressData(
@@ -546,16 +646,27 @@ void SensorData::uncompressData(
cv::Mat * userDataRaw,
cv::Mat * groundCellsRaw,
cv::Mat * obstacleCellsRaw,
cv::Mat * emptyCellsRaw)
cv::Mat * emptyCellsRaw,
cv::Mat * depthConfidenceRaw)
{
UDEBUG("%d data(%d,%d,%d,%d,%d,%d,%d)", this->id(), imageRaw?1:0, depthRaw?1:0, laserScanRaw?1:0, userDataRaw?1:0, groundCellsRaw?1:0, obstacleCellsRaw?1:0, emptyCellsRaw?1:0);
UDEBUG("%d data(%d,%d,%d,%d,%d,%d,%d,%d)",
this->id(),
imageRaw?1:0,
depthRaw?1:0,
laserScanRaw?1:0,
userDataRaw?1:0,
groundCellsRaw?1:0,
obstacleCellsRaw?1:0,
emptyCellsRaw?1:0,
depthConfidenceRaw?1:0);
if(imageRaw == 0 &&
depthRaw == 0 &&
laserScanRaw == 0 &&
userDataRaw == 0 &&
groundCellsRaw == 0 &&
obstacleCellsRaw == 0 &&
emptyCellsRaw == 0)
emptyCellsRaw == 0 &&
depthConfidenceRaw == 0)
{
return;
}
@@ -566,7 +677,8 @@ void SensorData::uncompressData(
userDataRaw,
groundCellsRaw,
obstacleCellsRaw,
emptyCellsRaw);
emptyCellsRaw,
depthConfidenceRaw);
if(imageRaw && !imageRaw->empty() && _imageRaw.empty())
{
@@ -588,6 +700,10 @@ void SensorData::uncompressData(
{
_depthOrRightRaw = *depthRaw;
}
if(depthConfidenceRaw && !depthConfidenceRaw->empty() && _depthConfidenceRaw.empty())
{
_depthConfidenceRaw = *depthConfidenceRaw;
}
if(laserScanRaw && !laserScanRaw->isEmpty() && _laserScanRaw.isEmpty())
{
_laserScanRaw = *laserScanRaw;
@@ -628,7 +744,8 @@ void SensorData::uncompressDataConst(
cv::Mat * userDataRaw,
cv::Mat * groundCellsRaw,
cv::Mat * obstacleCellsRaw,
cv::Mat * emptyCellsRaw) const
cv::Mat * emptyCellsRaw,
cv::Mat * depthConfidenceRaw) const
{
if(imageRaw)
{
@@ -638,6 +755,10 @@ void SensorData::uncompressDataConst(
{
*depthRaw = _depthOrRightRaw;
}
if(depthConfidenceRaw)
{
*depthConfidenceRaw = _depthConfidenceRaw;
}
if(laserScanRaw)
{
*laserScanRaw = _laserScanRaw;
@@ -660,6 +781,7 @@ void SensorData::uncompressDataConst(
}
if( (imageRaw && imageRaw->empty()) ||
(depthRaw && depthRaw->empty()) ||
(depthConfidenceRaw && depthConfidenceRaw->empty()) ||
(laserScanRaw && laserScanRaw->isEmpty()) ||
(userDataRaw && userDataRaw->empty()) ||
(groundCellsRaw && groundCellsRaw->empty()) ||
@@ -668,6 +790,7 @@ void SensorData::uncompressDataConst(
{
rtabmap::CompressionThread ctImage(_imageCompressed, true);
rtabmap::CompressionThread ctDepth(_depthOrRightCompressed, true);
rtabmap::CompressionThread ctDepthConfidence(_depthConfidenceCompressed, false);
rtabmap::CompressionThread ctLaserScan(_laserScanCompressed.data(), false);
rtabmap::CompressionThread ctUserData(_userDataCompressed, false);
rtabmap::CompressionThread ctGroundCells(_groundCellsCompressed, false);
@@ -683,6 +806,11 @@ void SensorData::uncompressDataConst(
UASSERT(_depthOrRightCompressed.type() == CV_8UC1);
ctDepth.start();
}
if(depthConfidenceRaw && depthConfidenceRaw->empty() && !_depthConfidenceCompressed.empty())
{
UASSERT(_depthConfidenceCompressed.type() == CV_8UC1);
ctDepthConfidence.start();
}
if(laserScanRaw && laserScanRaw->isEmpty() && !_laserScanCompressed.isEmpty())
{
UASSERT(_laserScanCompressed.isCompressed());
@@ -710,6 +838,7 @@ void SensorData::uncompressDataConst(
}
ctImage.join();
ctDepth.join();
ctDepthConfidence.join();
ctLaserScan.join();
ctUserData.join();
ctGroundCells.join();
@@ -746,6 +875,21 @@ void SensorData::uncompressDataConst(
}
}
}
if(depthConfidenceRaw && depthConfidenceRaw->empty())
{
*depthConfidenceRaw = ctDepthConfidence.getUncompressedData();
if(depthConfidenceRaw->empty())
{
if(_depthConfidenceCompressed.empty())
{
UWARN("Requested depth confidence data, but the sensor data (%d) doesn't have depth confidence.", this->id());
}
else
{
UERROR("Requested depth confidence data, but failed to uncompress (%d).", this->id());
}
}
}
if(laserScanRaw && laserScanRaw->isEmpty())
{
if(_laserScanCompressed.angleIncrement() > 0.0f)
@@ -815,6 +959,8 @@ unsigned long SensorData::getMemoryUsed() const // Return memory usage in Bytes
(_imageRaw.empty()?0:_imageRaw.total()*_imageRaw.elemSize()) +
(_depthOrRightCompressed.empty()?0:_depthOrRightCompressed.total()*_depthOrRightCompressed.elemSize()) +
(_depthOrRightRaw.empty()?0:_depthOrRightRaw.total()*_depthOrRightRaw.elemSize()) +
(_depthConfidenceCompressed.empty()?0:_depthConfidenceCompressed.total()*_depthConfidenceCompressed.elemSize()) +
(_depthConfidenceRaw.empty()?0:_depthConfidenceRaw.total()*_depthConfidenceRaw.elemSize()) +
(_userDataCompressed.empty()?0:_userDataCompressed.total()*_userDataCompressed.elemSize()) +
(_userDataRaw.empty()?0:_userDataRaw.total()*_userDataRaw.elemSize()) +
(_laserScanCompressed.empty()?0:_laserScanCompressed.data().total()*_laserScanCompressed.data().elemSize()) +
@@ -836,6 +982,7 @@ void SensorData::clearCompressedData(bool images, bool scan, bool userData)
{
_imageCompressed=cv::Mat();
_depthOrRightCompressed=cv::Mat();
_depthConfidenceCompressed=cv::Mat();
}
if(scan)
{
@@ -852,6 +999,7 @@ void SensorData::clearRawData(bool images, bool scan, bool userData)
{
_imageRaw=cv::Mat();
_depthOrRightRaw=cv::Mat();
_depthConfidenceRaw=cv::Mat();
}
if(scan)
{
+2 -4
View File
@@ -273,11 +273,9 @@ void Transform::getTranslation(float & x, float & y, float & z) const
z = this->z();
}
float Transform::getAngle(float x, float y, float z) const
float Transform::getAngle(const Transform & t) const
{
Eigen::Vector3f vA(x,y,z);
Eigen::Vector3f vB = this->toEigen3f().linear()*Eigen::Vector3f(1,0,0);
return pcl::getAngle3D(Eigen::Vector4f(vA[0], vA[1], vA[2], 0), Eigen::Vector4f(vB[0], vB[1], vB[2], 0));
return getQuaternionf().angularDistance(t.getQuaternionf());
}
float Transform::getNorm() const
+1 -1
View File
@@ -217,7 +217,7 @@ Transform OdometryDVO::computeTransform(
t = motionFromKeyFrame_.inverse() * t;
// TODO make parameters?
if(currentMotion.getNorm() > 0.01 || currentMotion.getAngle() > 0.01)
if(currentMotion.getNorm() > 0.01 || currentMotion.getAngle(Transform::getIdentity()) > 0.01)
{
if(info)
{
@@ -32,6 +32,7 @@ CREATE TABLE Data (
id INTEGER NOT NULL,
image BLOB, -- compressed image (Grayscale or RGB)
depth BLOB, -- compressed image (Depth or Right image)
depth_confidence BLOB, -- compressed data (low=0 high=100)
calibration BLOB, -- fx, fy, cx, cy, [baseline,] width, height, local_transform
scan BLOB, -- compressed data (Laser scan)
@@ -0,0 +1,182 @@
-- *******************************************************************
-- DatabaseSchema: Script for creating the database
-- Usage:
-- $ sqlite3 LTM.db < DatabaseSchema.sql
--
-- *******************************************************************
-- *******************************************************************
-- CLEAN
-- *******************************************************************
/*DROP TABLE Node;*/
-- *******************************************************************
-- CREATE
-- *******************************************************************
CREATE TABLE Node (
id INTEGER NOT NULL,
map_id INTEGER NOT NULL,
weight INTEGER,
stamp FLOAT,
pose BLOB, -- 3x4 float
ground_truth_pose BLOB, -- 3x4 float
velocity BLOB, -- 6 float (vx,vy,vz,vroll,vpitch,vyaw) m/s and rad/s
label TEXT,
gps BLOB, -- 1x6 double: stamp, longitude (DD), latitude (DD), altitude (m), accuracy (m), bearing (North 0->360 deg clockwise)
env_sensors BLOB, -- Variable 3xdouble: (sensorId1, value, stamp, sensorId2, value, stamp, ...)
time_enter DATE,
PRIMARY KEY (id)
);
CREATE TABLE Data (
id INTEGER NOT NULL,
image BLOB, -- compressed image (Grayscale or RGB)
depth BLOB, -- compressed image (Depth or Right image)
calibration BLOB, -- fx, fy, cx, cy, [baseline,] width, height, local_transform
scan BLOB, -- compressed data (Laser scan)
scan_info BLOB, -- scan_max_pts, scan_max_range, scan_format, local_transform
ground_cells BLOB, -- compressed data (occupancy grid)
obstacle_cells BLOB, -- compressed data (occupancy grid)
empty_cells BLOB, -- compressed data (occupancy grid)
cell_size FLOAT,
view_point_x FLOAT,
view_point_y FLOAT,
view_point_z FLOAT,
user_data BLOB, -- compressed data (User data)
time_enter DATE,
PRIMARY KEY (id)
);
CREATE TABLE Link (
from_id INTEGER NOT NULL,
to_id INTEGER NOT NULL,
type INTEGER NOT NULL, -- kNeighbor=0, kGlobalClosure=1, kLocalSpaceClosure=2, kLocalTimeClosure=3, kUserClosure=4, kVirtualClosure=5, kNeighborMerged=6, kPosePrior=7, kLandmark=8
information_matrix BLOB NOT NULL, -- 6x6 double (inverse covariance)
transform BLOB, -- 3x4 float
user_data BLOB, -- compressed data (User data)
FOREIGN KEY (from_id) REFERENCES Node(id),
FOREIGN KEY (to_id) REFERENCES Node(id)
);
--
CREATE TABLE Word (
id INTEGER NOT NULL,
descriptor_size INTEGER NOT NULL,
descriptor BLOB NOT NULL,
time_enter DATE,
PRIMARY KEY (id)
);
CREATE TABLE Feature (
node_id INTEGER NOT NULL,
word_id INTEGER NOT NULL,
pos_x FLOAT NOT NULL,
pos_y FLOAT NOT NULL,
size INTEGER NOT NULL,
dir FLOAT NOT NULL,
response FLOAT NOT NULL,
octave INTEGER NOT NULL,
depth_x FLOAT,
depth_y FLOAT,
depth_z FLOAT,
descriptor_size INTEGER,
descriptor BLOB,
FOREIGN KEY (node_id) REFERENCES Node(id)
);
CREATE TABLE GlobalDescriptor (
node_id INTEGER NOT NULL,
type INTEGER NOT NULL,
info BLOB,
data BLOB NOT NULL,
FOREIGN KEY (node_id) REFERENCES Node(id)
);
--
CREATE TABLE Info (
STM_size INTEGER,
last_sign_added INTEGER,
process_mem_used INTEGER,
database_mem_used INTEGER,
dictionary_size INTEGER,
parameters TEXT,
time_enter DATE
);
CREATE TABLE Statistics (
id INTEGER NOT NULL,
stamp FLOAT,
data BLOB, -- compressed string
wm_state BLOB, -- compressed data
FOREIGN KEY (id) REFERENCES Node(id)
);
CREATE TABLE Admin (
version TEXT,
preview_image BLOB, -- compressed image
opt_cloud BLOB, -- compressed data
opt_ids BLOB, -- Node ids used to generate the optimized cloud/mesh
opt_poses BLOB, -- compressed N*3x4 float
opt_last_localization BLOB, -- 3x4 float
opt_polygons_size INTEGER, -- e.g., 3
opt_polygons BLOB, -- compressed data [length_v0, i0,i1,i3, length_v1, i0,i1,i3]
opt_tex_coords BLOB, -- compressed data [length_v0, u0,v0,u1,v1,u2,v2, length_v1, u0,v0,u1,v1,u2,v2]
opt_tex_materials BLOB, -- compressed image
opt_map BLOB, -- compressed CV_8SC1 occupancy grid
opt_map_x_min FLOAT,
opt_map_y_min FLOAT,
opt_map_resolution FLOAT,
time_enter DATE
);
-- *******************************************************************
-- TRIGGERS
-- *******************************************************************
CREATE TRIGGER insert_Feature BEFORE INSERT ON Feature
WHEN NOT EXISTS (SELECT Node.id FROM Node WHERE Node.id = NEW.node_id)
BEGIN
SELECT RAISE(ABORT, 'Foreign key constraint failed in Feature table');
END;
-- Creating a trigger for time_enter
CREATE TRIGGER insert_Node_timeEnter AFTER INSERT ON Node
BEGIN
UPDATE Node SET time_enter = DATETIME('NOW') WHERE rowid = new.rowid;
END;
CREATE TRIGGER insert_Data_timeEnter AFTER INSERT ON Data
BEGIN
UPDATE Node SET time_enter = DATETIME('NOW') WHERE rowid = new.rowid;
END;
CREATE TRIGGER insert_Word_timeEnter AFTER INSERT ON Word
BEGIN
UPDATE Word SET time_enter = DATETIME('NOW') WHERE rowid = new.rowid;
END;
CREATE TRIGGER insert_Info_timeEnter AFTER INSERT ON Info
BEGIN
UPDATE Info SET time_enter = DATETIME('NOW') WHERE rowid = new.rowid;
END;
-- *******************************************************************
-- INDEXES
-- *******************************************************************
CREATE UNIQUE INDEX IDX_Node_id on Node (id);
CREATE INDEX IDX_Feature_node_id on Feature (node_id);
CREATE INDEX IDX_GlobalDescriptor_node_id on GlobalDescriptor (node_id);
CREATE INDEX IDX_Link_from_id on Link (from_id);
CREATE UNIQUE INDEX IDX_node_label on Node (label);
CREATE UNIQUE INDEX IDX_Statistics_id on Statistics (id);
-- *******************************************************************
-- VERSION
-- *******************************************************************
INSERT INTO Admin(version) VALUES('0.20.0');
+1 -2
View File
@@ -242,8 +242,7 @@ cv::Mat SPDetector::compute(const std::vector<cv::KeyPoint> &keypoints)
auto desc = torch::grid_sampler(desc_, grid, 0, 0, true); // [1, 256, 1, n_keypoints]
// normalize to 1
desc = torch::nn::functional::normalize(desc.reshape({1, desc_.size(1), -1})); //[1, 256, n_keypoints]
desc = desc.squeeze(); //[256, n_keypoints]
desc = torch::nn::functional::normalize(desc.reshape({desc_.size(1), -1}), torch::nn::functional::NormalizeFuncOptions().dim(0)); //[256, n_keypoints]
desc = desc.transpose(0, 1).contiguous(); //[n_keypoints, 256]
if(cuda_)
+91 -1
View File
@@ -1351,18 +1351,38 @@ cv::Mat interpolate(const cv::Mat & image, int factor, float depthErrorRatio)
return out;
}
cv::Mat registerDepth(
const cv::Mat & depth,
const cv::Mat & depthK,
const cv::Size & colorSize,
const cv::Mat & colorK,
const rtabmap::Transform & transform)
{
cv::Mat tmp;
return registerDepth(
depth,
cv::Mat(),
depthK,
colorSize,
colorK,
transform,
tmp);
}
cv::Mat registerDepth(
const cv::Mat & depth,
const cv::Mat & confidence,
const cv::Mat & depthK,
const cv::Size & colorSize,
const cv::Mat & colorK,
const rtabmap::Transform & transform)
const rtabmap::Transform & transform,
cv::Mat & registeredConfidence)
{
UASSERT(!transform.isNull());
UASSERT(!depth.empty());
UASSERT(depth.type() == CV_16UC1 || depth.type() == CV_32FC1); // mm or m
UASSERT(depthK.type() == CV_64FC1 && depthK.cols == 3 && depthK.cols == 3);
UASSERT(colorK.type() == CV_64FC1 && colorK.cols == 3 && colorK.cols == 3);
UASSERT(confidence.empty() || (confidence.size() == depth.size() && confidence.type()==CV_8UC1));
float fx = depthK.at<double>(0,0);
float fy = depthK.at<double>(1,1);
@@ -1381,10 +1401,19 @@ cv::Mat registerDepth(
Eigen::Vector4f P4,P3;
P4[3] = 1;
cv::Mat registered = cv::Mat::zeros(colorSize, depth.type());
registeredConfidence = cv::Mat();
if(!confidence.empty())
{
registeredConfidence = cv::Mat::zeros(colorSize, confidence.type());
}
bool depthInMM = depth.type() == CV_16UC1;
for(int y=0; y<depth.rows; ++y)
{
const unsigned char * confPtr = 0;
if(!confidence.empty()) {
confPtr = confidence.ptr<unsigned char>(y);
}
for(int x=0; x<depth.cols; ++x)
{
//filtering
@@ -1411,6 +1440,9 @@ cv::Mat registerDepth(
if(zReg == 0 || z16 < zReg)
{
zReg = z16;
if(confPtr) {
registeredConfidence.at<unsigned char>(dy, dx) = confPtr[x];
}
}
}
else
@@ -1419,6 +1451,9 @@ cv::Mat registerDepth(
if(zReg == 0 || z < zReg)
{
zReg = z;
if(confPtr) {
registeredConfidence.at<unsigned char>(dy, dx) = confPtr[x];
}
}
}
}
@@ -1923,6 +1958,61 @@ cv::Mat fastBilateralFiltering(const cv::Mat & depth, float sigmaS, float sigmaR
return output;
}
void depthBleedingFiltering(cv::Mat & depth, float maxDepthError)
{
if(depth.empty())
{
return;
}
UASSERT(depth.type() == CV_32FC1 || depth.type() == CV_16UC1);
// ignore border
depth.row(0).setTo(cv::Scalar(0));
depth.row(depth.rows-1).setTo(cv::Scalar(0));
depth.col(0).setTo(cv::Scalar(0));
depth.col(depth.cols-1).setTo(cv::Scalar(0));
if(depth.type() == CV_32FC1)
{
float * depthPtr = depth.ptr<float>();
for(int v=1; v<depth.rows-1; ++v)
{
for(int u=1; u<depth.cols-1; ++u)
{
int row = depth.cols*v;
float & ref = depthPtr[row + u];
if((fabs(ref - depthPtr[row + u - 1]) > maxDepthError &&
fabs(ref - depthPtr[row + u + 1]) > maxDepthError) ||
(fabs(ref - depthPtr[depth.cols*(v-1) + u]) > maxDepthError &&
fabs(ref - depthPtr[depth.cols*(v+1) + u]) > maxDepthError))
{
ref = 0.0f;
}
}
}
}
else if(depth.type() == CV_16UC1)
{
unsigned short * depthPtr = depth.ptr<unsigned short>();
unsigned short maxDepthErrorMM = (unsigned short)(maxDepthError*1000.0f);
for(int v=1; v<depth.rows-1; ++v)
{
for(int u=1; u<depth.cols-1; ++u)
{
int row = depth.cols*v;
unsigned short & ref = depthPtr[row + u];
if((abs((int)ref - (int)depthPtr[row + u - 1]) > maxDepthErrorMM &&
abs((int)ref - (int)depthPtr[row + u + 1]) > maxDepthErrorMM) ||
(abs((int)ref - (int)depthPtr[depth.cols*(v-1) + u]) > maxDepthErrorMM &&
abs((int)ref - (int)depthPtr[depth.cols*(v+1) + u]) > maxDepthErrorMM))
{
ref = 0;
}
}
}
}
}
/**
* \brief Automatic brightness and contrast optimization with optional histogram clipping
* \param [in]src Input image GRAY or BGR or BGRA
+115 -31
View File
@@ -216,12 +216,33 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromDepth(
return cloudFromDepth(imageDepth, model, decimation, maxDepth, minDepth, validIndices);
}
pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromDepth(
const cv::Mat & imageDepthIn,
const CameraModel & model,
int decimation,
float maxDepth,
float minDepth,
std::vector<int> * validIndices)
{
return cloudFromDepth(
imageDepthIn,
cv::Mat(),
model,
decimation,
maxDepth,
minDepth,
0,
validIndices);
}
pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromDepth(
const cv::Mat & imageDepthIn,
const cv::Mat & imageDepthConfidenceIn,
const CameraModel & model,
int decimation,
float maxDepth,
float minDepth,
unsigned char confidenceThr,
std::vector<int> * validIndices)
{
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
@@ -234,8 +255,10 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromDepth(
UASSERT(model.isValidForProjection());
UASSERT(!imageDepthIn.empty() && (imageDepthIn.type() == CV_16UC1 || imageDepthIn.type() == CV_32FC1));
UASSERT(imageDepthConfidenceIn.empty() || confidenceThr == 0 || (imageDepthConfidenceIn.type() == CV_8UC1 && imageDepthConfidenceIn.size() == imageDepthIn.size()));
cv::Mat imageDepth = imageDepthIn;
cv::Mat imageDepthConfidence = confidenceThr==0?cv::Mat():imageDepthConfidenceIn;
if(model.imageHeight()>0 && model.imageWidth()>0)
{
UASSERT(model.imageHeight() % imageDepthIn.rows == 0 && model.imageWidth() % imageDepthIn.cols == 0);
@@ -262,6 +285,9 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromDepth(
{
UDEBUG("Depth interpolation factor=%d", targetSize/imageDepthIn.rows);
imageDepth = util2d::interpolate(imageDepthIn, targetSize/imageDepthIn.rows);
if(!imageDepthConfidence.empty()) {
imageDepthConfidence = util2d::interpolate(imageDepthConfidenceIn, targetSize/imageDepthConfidenceIn.rows);
}
decimation = 1;
}
else if(targetSize == imageDepthIn.rows)
@@ -313,11 +339,13 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromDepth(
float depthCx = model.cx() * rgbToDepthFactorX;
float depthCy = model.cy() * rgbToDepthFactorY;
UDEBUG("depth=%dx%d fx=%f fy=%f cx=%f cy=%f (depth factors=%f %f) decimation=%d",
UDEBUG("depth=%dx%d fx=%f fy=%f cx=%f cy=%f (depth factors=%f %f) has confidence=%d (thr=%d) decimation=%d",
imageDepth.cols, imageDepth.rows,
model.fx(), model.fy(), model.cx(), model.cy(),
rgbToDepthFactorX,
rgbToDepthFactorY,
imageDepthConfidenceIn.empty()?0:1,
(int)confidenceThr,
decimation);
int oi = 0;
@@ -327,21 +355,21 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromDepth(
{
pcl::PointXYZ & pt = cloud->at((h/decimation)*cloud->width + (w/decimation));
pcl::PointXYZ ptXYZ = projectDepthTo3D(imageDepth, w, h, depthCx, depthCy, depthFx, depthFy, false);
if(pcl::isFinite(ptXYZ) && ptXYZ.z>=minDepth && (maxDepth<=0.0f || ptXYZ.z <= maxDepth))
pt.x = pt.y = pt.z = std::numeric_limits<float>::quiet_NaN();
if(imageDepthConfidence.empty() || imageDepthConfidence.at<unsigned char>(h,w) >= confidenceThr)
{
pt.x = ptXYZ.x;
pt.y = ptXYZ.y;
pt.z = ptXYZ.z;
if(validIndices)
pcl::PointXYZ ptXYZ = projectDepthTo3D(imageDepth, w, h, depthCx, depthCy, depthFx, depthFy, false);
if(pcl::isFinite(ptXYZ) && ptXYZ.z>=minDepth && (maxDepth<=0.0f || ptXYZ.z <= maxDepth))
{
validIndices->at(oi++) = (h/decimation)*cloud->width + (w/decimation);
pt.x = ptXYZ.x;
pt.y = ptXYZ.y;
pt.z = ptXYZ.z;
if(validIndices)
{
validIndices->at(oi++) = (h/decimation)*cloud->width + (w/decimation);
}
}
}
else
{
pt.x = pt.y = pt.z = std::numeric_limits<float>::quiet_NaN();
}
}
}
@@ -367,13 +395,36 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudFromDepthRGB(
return cloudFromDepthRGB(imageRgb, imageDepth, model, decimation, maxDepth, minDepth, validIndices);
}
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudFromDepthRGB(
const cv::Mat & imageRgb,
const cv::Mat & imageDepthIn,
const CameraModel & model,
int decimation,
float maxDepth,
float minDepth,
std::vector<int> * validIndices)
{
return cloudFromDepthRGB(
imageRgb,
imageDepthIn,
cv::Mat(),
model,
decimation,
maxDepth,
minDepth,
0,
validIndices);
}
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudFromDepthRGB(
const cv::Mat & imageRgb,
const cv::Mat & imageDepthIn,
const cv::Mat & imageDepthConfidenceIn,
const CameraModel & model,
int decimation,
float maxDepth,
float minDepth,
unsigned char confidenceThr,
std::vector<int> * validIndices)
{
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZRGB>);
@@ -389,6 +440,7 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudFromDepthRGB(
//UASSERT_MSG(imageRgb.rows % imageDepthIn.rows == 0 && imageRgb.cols % imageDepthIn.cols == 0,
// uFormat("rgb=%dx%d depth=%dx%d", imageRgb.cols, imageRgb.rows, imageDepthIn.cols, imageDepthIn.rows).c_str());
UASSERT(!imageDepthIn.empty() && (imageDepthIn.type() == CV_16UC1 || imageDepthIn.type() == CV_32FC1));
UASSERT(imageDepthConfidenceIn.empty() || confidenceThr==0 || (imageDepthConfidenceIn.type() == CV_8UC1 && imageDepthConfidenceIn.size() == imageDepthIn.size()));
if(decimation < 0)
{
if(imageRgb.rows % decimation != 0 || imageRgb.cols % decimation != 0)
@@ -431,6 +483,7 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudFromDepthRGB(
}
cv::Mat imageDepth = imageDepthIn;
cv::Mat imageDepthConfidence = confidenceThr==0?cv::Mat():imageDepthConfidenceIn;
if(decimation < 0)
{
UDEBUG("Decimation from RGB image (%d)", decimation);
@@ -442,6 +495,9 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudFromDepthRGB(
{
UDEBUG("Depth interpolation factor=%d", targetSize/imageDepthIn.rows);
imageDepth = util2d::interpolate(imageDepthIn, targetSize/imageDepthIn.rows);
if(!imageDepthConfidence.empty()) {
imageDepthConfidence = util2d::interpolate(imageDepthConfidenceIn, targetSize/imageDepthConfidenceIn.rows);
}
decimation = 1;
}
else if(targetSize == imageDepthIn.rows)
@@ -486,12 +542,14 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudFromDepthRGB(
float depthCx = model.cx() / rgbToDepthFactorX;
float depthCy = model.cy() / rgbToDepthFactorY;
UDEBUG("rgb=%dx%d depth=%dx%d fx=%f fy=%f cx=%f cy=%f (depth factors=%f %f) decimation=%d",
UDEBUG("rgb=%dx%d depth=%dx%d fx=%f fy=%f cx=%f cy=%f (depth factors=%f %f) has confidence=%d (thr=%d) decimation=%d",
imageRgb.cols, imageRgb.rows,
imageDepth.cols, imageDepth.rows,
model.fx(), model.fy(), model.cx(), model.cy(),
rgbToDepthFactorX,
rgbToDepthFactorY,
imageDepthConfidenceIn.empty()?0:1,
(int)confidenceThr,
decimation);
int oi = 0;
@@ -519,21 +577,21 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudFromDepthRGB(
pt.r = v;
}
pcl::PointXYZ ptXYZ = projectDepthTo3D(imageDepth, w, h, depthCx, depthCy, depthFx, depthFy, false);
if (pcl::isFinite(ptXYZ) && ptXYZ.z >= minDepth && (maxDepth <= 0.0f || ptXYZ.z <= maxDepth))
pt.x = pt.y = pt.z = std::numeric_limits<float>::quiet_NaN();
if(imageDepthConfidence.empty() || imageDepthConfidence.at<unsigned char>(h,w) >= confidenceThr)
{
pt.x = ptXYZ.x;
pt.y = ptXYZ.y;
pt.z = ptXYZ.z;
if (validIndices)
pcl::PointXYZ ptXYZ = projectDepthTo3D(imageDepth, w, h, depthCx, depthCy, depthFx, depthFy, false);
if (pcl::isFinite(ptXYZ) && ptXYZ.z >= minDepth && (maxDepth <= 0.0f || ptXYZ.z <= maxDepth))
{
validIndices->at(oi) = (h / decimation)*cloud->width + (w / decimation);
pt.x = ptXYZ.x;
pt.y = ptXYZ.y;
pt.z = ptXYZ.z;
if (validIndices)
{
validIndices->at(oi) = (h / decimation)*cloud->width + (w / decimation);
}
++oi;
}
++oi;
}
else
{
pt.x = pt.y = pt.z = std::numeric_limits<float>::quiet_NaN();
}
}
}
@@ -808,7 +866,8 @@ std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> cloudsFromSensorData(
float minDepth,
std::vector<pcl::IndicesPtr> * validIndices,
const ParametersMap & stereoParameters,
const std::vector<float> & roiRatios)
const std::vector<float> & roiRatios,
unsigned char confidenceThr)
{
if(decimation == 0)
{
@@ -821,6 +880,7 @@ std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> cloudsFromSensorData(
{
//depth
UASSERT(int((sensorData.depthRaw().cols/sensorData.cameraModels().size())*sensorData.cameraModels().size()) == sensorData.depthRaw().cols);
UASSERT(sensorData.depthConfidenceRaw().empty() || confidenceThr==0 || (sensorData.depthConfidenceRaw().type() == CV_8UC1 && sensorData.depthConfidenceRaw().cols == sensorData.depthRaw().cols && sensorData.depthConfidenceRaw().rows == sensorData.depthRaw().rows));
int subImageWidth = sensorData.depthRaw().cols/sensorData.cameraModels().size();
for(unsigned int i=0; i<sensorData.cameraModels().size(); ++i)
{
@@ -832,6 +892,10 @@ std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> cloudsFromSensorData(
if(sensorData.cameraModels()[i].isValidForProjection())
{
cv::Mat depth = cv::Mat(sensorData.depthRaw(), cv::Rect(subImageWidth*i, 0, subImageWidth, sensorData.depthRaw().rows));
cv::Mat depthConfidence;
if(!sensorData.depthConfidenceRaw().empty() && confidenceThr > 0) {
depthConfidence = cv::Mat(sensorData.depthConfidenceRaw(), cv::Rect(subImageWidth*i, 0, subImageWidth, sensorData.depthConfidenceRaw().rows));
}
CameraModel model = sensorData.cameraModels()[i];
if( roiRatios.size() == 4 &&
(roiRatios[0] > 0.0f ||
@@ -852,6 +916,9 @@ std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> cloudsFromSensorData(
roiRgb.height%decimation==0)))
{
depth = cv::Mat(depth, roiDepth);
if(!depthConfidence.empty()) {
depthConfidence = cv::Mat(depthConfidence, roiDepth);
}
if(model.imageWidth() != 0 && model.imageHeight() != 0)
{
model = model.roi(util2d::computeRoi(model.imageSize(), roiRatios));
@@ -880,10 +947,12 @@ std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> cloudsFromSensorData(
pcl::PointCloud<pcl::PointXYZ>::Ptr tmp = util3d::cloudFromDepth(
depth,
depthConfidence,
model,
decimation,
maxDepth,
minDepth,
confidenceThr,
validIndices?validIndices->back().get():0);
if(tmp->size())
@@ -1004,7 +1073,8 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromSensorData(
float minDepth,
std::vector<int> * validIndices,
const ParametersMap & stereoParameters,
const std::vector<float> & roiRatios)
const std::vector<float> & roiRatios,
unsigned char confidenceThr)
{
std::vector<pcl::IndicesPtr> validIndicesV;
std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> clouds = cloudsFromSensorData(
@@ -1014,7 +1084,8 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr cloudFromSensorData(
minDepth,
validIndices?&validIndicesV:0,
stereoParameters,
roiRatios);
roiRatios,
confidenceThr);
if(validIndices)
{
@@ -1057,7 +1128,8 @@ std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> cloudsRGBFromSensorData(
float minDepth,
std::vector<pcl::IndicesPtr> * validIndices,
const ParametersMap & stereoParameters,
const std::vector<float> & roiRatios)
const std::vector<float> & roiRatios,
unsigned char confidenceThr)
{
if(decimation == 0)
{
@@ -1076,6 +1148,7 @@ std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> cloudsRGBFromSensorData(
//UASSERT_MSG(sensorData.imageRaw().rows % sensorData.depthRaw().rows == 0, uFormat("rgb=%d depth=%d", sensorData.imageRaw().rows, sensorData.depthRaw().rows).c_str());
int subRGBWidth = sensorData.imageRaw().cols/sensorData.cameraModels().size();
int subDepthWidth = sensorData.depthRaw().cols/sensorData.cameraModels().size();
UASSERT(sensorData.depthConfidenceRaw().empty() || confidenceThr==0 || (sensorData.depthConfidenceRaw().type() == CV_8UC1 && sensorData.depthConfidenceRaw().cols == sensorData.depthRaw().cols && sensorData.depthConfidenceRaw().rows == sensorData.depthRaw().rows));
for(unsigned int i=0; i<sensorData.cameraModels().size(); ++i)
{
@@ -1088,6 +1161,10 @@ std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> cloudsRGBFromSensorData(
{
cv::Mat rgb(sensorData.imageRaw(), cv::Rect(subRGBWidth*i, 0, subRGBWidth, sensorData.imageRaw().rows));
cv::Mat depth(sensorData.depthRaw(), cv::Rect(subDepthWidth*i, 0, subDepthWidth, sensorData.depthRaw().rows));
cv::Mat depthConfidence;
if(!sensorData.depthConfidenceRaw().empty() && confidenceThr>0) {
depthConfidence = cv::Mat(sensorData.depthConfidenceRaw(), cv::Rect(subDepthWidth*i, 0, subDepthWidth, sensorData.depthConfidenceRaw().rows));
}
CameraModel model = sensorData.cameraModels()[i];
if( roiRatios.size() == 4 &&
((roiRatios[0] > 0.0f && roiRatios[0] <= 1.0f) ||
@@ -1103,6 +1180,9 @@ std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> cloudsRGBFromSensorData(
roiRgb.height%decimation==0)
{
depth = cv::Mat(depth, roiDepth);
if(!depthConfidence.empty()) {
depthConfidence = cv::Mat(depthConfidence, roiDepth);
}
rgb = cv::Mat(rgb, roiRgb);
model = model.roi(roiRgb);
}
@@ -1126,10 +1206,12 @@ std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> cloudsRGBFromSensorData(
pcl::PointCloud<pcl::PointXYZRGB>::Ptr tmp = util3d::cloudFromDepthRGB(
rgb,
depth,
depthConfidence,
model,
decimation,
maxDepth,
minDepth,
confidenceThr,
validIndices?validIndices->back().get():0);
if(tmp->size())
@@ -1232,7 +1314,8 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudRGBFromSensorData(
float minDepth,
std::vector<int> * validIndices,
const ParametersMap & stereoParameters,
const std::vector<float> & roiRatios)
const std::vector<float> & roiRatios,
unsigned char confidenceThr)
{
std::vector<pcl::IndicesPtr> validIndicesV;
std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> clouds = cloudsRGBFromSensorData(
@@ -1242,7 +1325,8 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloudRGBFromSensorData(
minDepth,
validIndices?&validIndicesV:0,
stereoParameters,
roiRatios);
roiRatios,
confidenceThr);
if(validIndices)
{
+2 -2
View File
@@ -46,7 +46,7 @@ RUN git clone https://github.com/laurentkneip/opengv.git && \
mkdir build && \
cd build && \
~/cmake -DCMAKE_BUILD_TYPE=Release .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r opengv
@@ -63,7 +63,7 @@ COPY . /root/rtabmap
RUN source /ros_entrypoint.sh && \
cd rtabmap/build && \
~/cmake -DWITH_OPENGV=ON .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd ../.. && \
rm -rf rtabmap && \
+1 -17
View File
@@ -2,22 +2,6 @@
FROM introlab3it/rtabmap:focal-deps
# June 19 2023: moved opengv here so that focal-deps can be built on my computer. Not sure why but on my machine opengv arm64 fails, but not on CI.
#commit Aug 6 2020
RUN apt-get update && apt install wget && apt-get clean && rm -rf /var/lib/apt/lists/
RUN git clone https://github.com/laurentkneip/opengv.git && \
cd opengv && \
git checkout 91f4b19c73450833a40e463ad3648aae80b3a7f3 && \
wget https://gist.githubusercontent.com/matlabbe/a412cf7c4627253874f81a00745a7fbb/raw/accc3acf465d1ffd0304a46b17741f62d4d354ef/opengv_disable_march_native.patch && \
git apply opengv_disable_march_native.patch && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release .. && \
make -j$(nproc) && \
make install && \
cd && \
rm -r opengv
# Will be used to read/store databases on host
RUN mkdir -p /root/Documents/RTAB-Map && chmod 777 /root/Documents/RTAB-Map
@@ -28,7 +12,7 @@ COPY . /root/rtabmap
RUN source /ros_entrypoint.sh && \
cd rtabmap/build && \
cmake -DWITH_ALICE_VISION=ON -DWITH_OPENGV=ON .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd ../.. && \
rm -rf rtabmap && \
+31 -10
View File
@@ -10,6 +10,13 @@ ENV DEBIAN_FRONTEND=noninteractive
WORKDIR /root/
# issue: https://github.com/introlab/rtabmap/issues/1523
RUN rm /etc/apt/sources.list.d/ros1-latest.list || true && \
apt-get update && apt-get install -y curl && \
sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list' && \
curl -s https://raw.githubusercontent.com/ros/rosdistro/master/ros.asc | sudo apt-key add - && \
apt-get clean && rm -rf /var/lib/apt/lists/
# Install build dependencies
RUN if [ "$TARGETPLATFORM" = "linux/arm/v7" ]; then \
apt-get update && \
@@ -29,7 +36,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/arm/v7" ]; then \
export CFLAGS="-D_FILE_OFFSET_BITS=64" && \
export CXXFLAGS="-D_FILE_OFFSET_BITS=64" && \
./bootstrap && \
make -j$(nproc) && \
make -j4 && \
sudo make install && \
cd .. && \
cmake --version && \
@@ -52,7 +59,7 @@ RUN apt-get update && apt-get install -y ros-noetic-librealsense2 && \
# Taken from https://github.com/microsoft/Azure-Kinect-Sensor-SDK/issues/1190#issuecomment-822772494
# K4A binaries on 20.04 not released yet, we should take those from 18.04
RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing k4a..." && \
apt-get update && apt-get install -y curl && \
apt-get update && \
echo "Download libk4a1.3_1.3.0_amd64.deb..." && \
curl -sSL https://packages.microsoft.com/ubuntu/18.04/prod/pool/main/libk/libk4a1.3/libk4a1.3_1.3.0_amd64.deb > /tmp/libk4a1.3_1.3.0_amd64.deb && \
echo "Download libk4a1.3-dev_1.3.0_amd64.deb..." && \
@@ -84,7 +91,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing libfreenect2
mkdir build && \
cd build && \
cmake .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r libfreenect2; fi
@@ -98,7 +105,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing zed-open-cap
mkdir build && \
cd build && \
cmake .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r zed-open-capture; fi
@@ -117,7 +124,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then git clone https://github.com/
mkdir build && \
cd build && \
cmake -DUSE_PYTHON=OFF -DOIIO_BUILD_TESTS=OFF -DOIIO_BUILD_TOOLS=OFF .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r oiio; fi
@@ -127,7 +134,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then git clone https://github.com/
mkdir build && \
cd build && \
cmake .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r assimp; fi
@@ -140,7 +147,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then git clone https://github.com/
git apply geogram_8b2ae61.patch && \
./configure.sh && \
cd build/Linux64-gcc-dynamic-Release && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r geogram; fi
@@ -148,12 +155,12 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then git clone https://github.com/
cd AliceVision && \
git checkout 0f6115b6af6183c524aa7fcf26141337c1cf3872 && \
git submodule update -i && \
wget https://gist.githubusercontent.com/matlabbe/1df724465106c056ca4cc195c81d8cf0/raw/b3ed4cb8f9b270833a40d57d870a259eabfa4415/alicevision_0f6115b.patch && \
wget https://gist.githubusercontent.com/matlabbe/1df724465106c056ca4cc195c81d8cf0/raw/5e3437cf6229c8d534bbaee475ed9bcb92eb84a1/alicevision_0f6115b.patch && \
git apply alicevision_0f6115b.patch && \
mkdir build && \
cd build && \
cmake -DALICEVISION_USE_CUDA=OFF -DALICEVISION_USE_APRILTAG=OFF -DALICEVISION_BUILD_SOFTWARE=OFF .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r AliceVision; fi
@@ -164,11 +171,25 @@ RUN git clone --branch 4.2.0 https://github.com/opencv/opencv.git && \
mkdir build && \
cd build && \
cmake -DWITH_TBB=ON -DWITH_OPENMP=ON -DBUILD_opencv_python3=OFF -DBUILD_opencv_python_bindings_generator=OFF -DBUILD_opencv_python_tests=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_TESTS=OFF -DOPENCV_ENABLE_NONFREE=ON -DWITH_VTK=OFF -DOPENCV_EXTRA_MODULES_PATH=/root/opencv_contrib/modules .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd ../.. && \
rm -rf opencv opencv_contrib
RUN if [ "$TARGETPLATFORM" = "linux/arm64" ]; then apt-get update && apt install wget && apt-get clean && rm -rf /var/lib/apt/lists/; fi
RUN git clone https://github.com/laurentkneip/opengv.git && \
cd opengv && \
git checkout 91f4b19c73450833a40e463ad3648aae80b3a7f3 && \
wget https://gist.githubusercontent.com/matlabbe/a412cf7c4627253874f81a00745a7fbb/raw/accc3acf465d1ffd0304a46b17741f62d4d354ef/opengv_disable_march_native.patch && \
git apply opengv_disable_march_native.patch && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release .. && \
make -j4 && \
make install && \
cd && \
rm -r opengv
RUN rm /bin/sh && ln -s /bin/bash /bin/sh
# for jetson (https://github.com/introlab/rtabmap/issues/776)
+1 -1
View File
@@ -12,7 +12,7 @@ COPY . /root/rtabmap
RUN source /ros_entrypoint.sh && \
cd rtabmap/build && \
cmake -DWITH_OPENGV=ON .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd ../.. && \
rm -rf rtabmap && \
+5 -5
View File
@@ -49,7 +49,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing libfreenect2
mkdir build && \
cd build && \
cmake .. && \
make -j$(nproc) && \
make -j2 && \
make install && \
cd && \
rm -r libfreenect2; fi
@@ -63,7 +63,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing zed-open-cap
mkdir build && \
cd build && \
cmake .. && \
make -j$(nproc) && \
make -j2 && \
make install && \
cd && \
rm -r zed-open-capture; fi
@@ -74,7 +74,7 @@ RUN git clone --branch 4.5.4 https://github.com/opencv/opencv.git && \
mkdir build && \
cd build && \
cmake -DWITH_TBB=ON -DWITH_OPENMP=ON -DBUILD_opencv_python3=OFF -DBUILD_opencv_python_bindings_generator=OFF -DBUILD_opencv_python_tests=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_TESTS=OFF -DOPENCV_ENABLE_NONFREE=ON -DOPENCV_EXTRA_MODULES_PATH=/root/opencv_contrib/modules .. && \
make -j$(nproc) && \
make -j2 && \
make install && \
cd ../.. && \
rm -rf opencv opencv_contrib
@@ -90,14 +90,14 @@ RUN git clone https://github.com/laurentkneip/opengv.git && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release .. && \
make -j$(nproc) && \
make -j2 && \
make install && \
cd && \
rm -r opengv
RUN rm /bin/sh && ln -s /bin/bash /bin/sh
COPY ./docker/jammy/deps/ros_entrypoint.sh /ros_entrypoint.sh
RUN echo -e '#!/bin/bash\nset -e\n\n# setup ros2 environment\nsource "/opt/ros/humble/setup.bash" --\nexec "$@"' > /ros_entrypoint.sh
RUN chmod +x /ros_entrypoint.sh
ENTRYPOINT [ "/ros_entrypoint.sh" ]
-6
View File
@@ -1,6 +0,0 @@
#!/bin/bash
set -e
# setup ros2 environment
source "/opt/ros/humble/setup.bash" --
exec "$@"
+20
View File
@@ -0,0 +1,20 @@
# Image: introlab3it/rtabmap:noble-kilted
FROM introlab3it/rtabmap:noble-kilted-deps
# Will be used to read/store databases on host
RUN mkdir -p /root/Documents/RTAB-Map && chmod 777 /root/Documents/RTAB-Map
# Copy current source code
COPY . /root/rtabmap
# Build RTAB-Map project
RUN source /ros_entrypoint.sh && \
cd rtabmap/build && \
cmake -DWITH_OPENGV=ON .. && \
make -j4 && \
make install && \
cd ../.. && \
rm -rf rtabmap && \
ldconfig
+132
View File
@@ -0,0 +1,132 @@
# Image: introlab3it/rtabmap:noble-kilted-deps
FROM ubuntu:24.04
ARG TARGETPLATFORM
ENV TARGETPLATFORM=${TARGETPLATFORM:-linux/amd64}
RUN echo "I am building for $TARGETPLATFORM"
ENV DEBIAN_FRONTEND=noninteractive
# Install ROS2
RUN apt update && \
apt install software-properties-common -y && \
add-apt-repository universe && \
apt update && \
apt install curl -y && \
curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key -o /usr/share/keyrings/ros-archive-keyring.gpg && \
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://packages.ros.org/ros2/ubuntu $(. /etc/os-release && echo $UBUNTU_CODENAME) main" | tee /etc/apt/sources.list.d/ros2.list > /dev/null && \
apt-get clean && rm -rf /var/lib/apt/lists/
# Install build dependencies
RUN apt-get update && \
apt upgrade -y && \
apt-get install -y \
git \
wget \
libtbb-dev \
libproj-dev \
libpcl-dev \
liboctomap-dev \
libfreenect-dev \
ros-kilted-ros-base \
ros-dev-tools \
ros-kilted-cv-bridge \
ros-kilted-image-geometry \
ros-kilted-laser-geometry \
ros-kilted-pcl-conversions \
ros-kilted-rviz-common \
ros-kilted-rviz-rendering \
ros-kilted-rviz-default-plugins \
ros-kilted-pcl-ros \
ros-kilted-imu-filter-madgwick \
ros-kilted-velodyne \
ros-kilted-image-transport \
ros-kilted-octomap-msgs \
ros-kilted-libg2o \
ros-kilted-libpointmatcher \
ros-kilted-qt-gui-cpp \
ros-kilted-diagnostic-updater && \
apt-get clean && rm -rf /var/lib/apt/lists/
WORKDIR /root/
# GTSAM (we cannot use ros-kilted-gtsam on Noble because it is linked to a different internal Eigen version than system one)
RUN git clone https://github.com/borglab/gtsam.git && \
cd gtsam && \
git checkout 4.2.0 && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release -DGTSAM_BUILD_WITH_MARCH_NATIVE=OFF -DGTSAM_USE_SYSTEM_EIGEN=ON .. && \
make -j4 && \
make install && \
cd && \
rm -r gtsam
# libfreenect2
RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing libfreenect2..." && \
apt-get update && apt-get install -y mesa-utils xserver-xorg-video-all libusb-1.0-0-dev libturbojpeg0-dev libglfw3-dev && \
apt-get clean && rm -rf /var/lib/apt/lists/ && \
git clone https://github.com/OpenKinect/libfreenect2 && \
cd libfreenect2 && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release .. && \
make -j4 && \
make install && \
cd && \
rm -r libfreenect2; fi
# zed open capture
RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing zed-open-capture..." && \
apt-get update && apt install -y libusb-1.0-0-dev libhidapi-libusb0 libhidapi-dev wget && \
apt-get clean && rm -rf /var/lib/apt/lists/ && \
git clone https://github.com/stereolabs/zed-open-capture.git && \
cd zed-open-capture && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release .. && \
make -j4 && \
make install && \
cd && \
rm -r zed-open-capture; fi
# OpenCV with all modules (same version than distro version to avoid conflicts with cv_bridge ros package)
RUN git clone --branch 4.6.0 https://github.com/opencv/opencv.git && \
git clone --branch 4.6.0 https://github.com/opencv/opencv_contrib.git && \
cd opencv && \
sed -i '/#include <libavformat\/avformat.h>/i #include <libavcodec/version.h>' modules/videoio/src/ffmpeg_codecs.hpp && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release -DWITH_TBB=ON -DWITH_ADE=OFF -DWITH_OPENMP=ON -DBUILD_opencv_python3=OFF -DBUILD_opencv_python_bindings_generator=OFF -DBUILD_opencv_python_tests=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_TESTS=OFF -DOPENCV_ENABLE_NONFREE=ON -DOPENCV_EXTRA_MODULES_PATH=/root/opencv_contrib/modules .. && \
make -j4 && \
make install && \
cd ../.. && \
rm -rf opencv opencv_contrib
RUN git clone https://github.com/laurentkneip/opengv.git && \
cd opengv && \
git checkout 91f4b19c73450833a40e463ad3648aae80b3a7f3 && \
wget https://gist.githubusercontent.com/matlabbe/a412cf7c4627253874f81a00745a7fbb/raw/accc3acf465d1ffd0304a46b17741f62d4d354ef/opengv_disable_march_native.patch && \
git apply opengv_disable_march_native.patch && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTS=OFF .. && \
make -j4 && \
make install && \
cd && \
rm -r opengv
RUN rm /bin/sh && ln -s /bin/bash /bin/sh
RUN echo -e '#!/bin/bash\nset -e\n\n# setup ros2 environment\nsource "/opt/ros/kilted/setup.bash" --\nexec "$@"' > /ros_entrypoint.sh
RUN chmod +x /ros_entrypoint.sh
ENTRYPOINT [ "/ros_entrypoint.sh" ]
# ros2 seems not sourcing by default its multi-arch folders
ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/ros/kilted/lib/x86_64-linux-gnu:/opt/ros/kilted/lib/aarch64-linux-gnu
# for jetson (https://github.com/introlab/rtabmap/issues/776)
ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/aarch64-linux-gnu/tegra
+1 -15
View File
@@ -2,20 +2,6 @@
FROM introlab3it/rtabmap:noble-deps
# OpenGV (issue seg fault on my computer, moved here from noble-deps to be built on ci)
RUN git clone https://github.com/laurentkneip/opengv.git && \
cd opengv && \
git checkout 91f4b19c73450833a40e463ad3648aae80b3a7f3 && \
wget https://gist.githubusercontent.com/matlabbe/a412cf7c4627253874f81a00745a7fbb/raw/accc3acf465d1ffd0304a46b17741f62d4d354ef/opengv_disable_march_native.patch && \
git apply opengv_disable_march_native.patch && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTS=OFF .. && \
make -j$(nproc) && \
make install && \
cd && \
rm -r opengv
# Will be used to read/store databases on host
RUN mkdir -p /root/Documents/RTAB-Map && chmod 777 /root/Documents/RTAB-Map
@@ -26,7 +12,7 @@ COPY . /root/rtabmap
RUN source /ros_entrypoint.sh && \
cd rtabmap/build && \
cmake -DWITH_OPENGV=ON .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd ../.. && \
rm -rf rtabmap && \
+206
View File
@@ -0,0 +1,206 @@
# Image: introlab3it/rtabmap:android-noble-deps
FROM ubuntu:24.04
# Install build dependencies
RUN apt-get update && apt-get install -y --no-install-recommends apt-utils
RUN apt-get update && apt-get install -y \
git unzip wget ant cmake \
g++ lib32stdc++6 lib32z1 \
software-properties-common \
freeglut3-dev \
openjdk-8-jdk openjdk-8-jre \
curl
ENV ANDROID_HOME=/opt/android-sdk
ENV PATH=$PATH:/opt/android-sdk/cmdline-tools/latest/bin:/opt/android-sdk/tools:/opt/android-sdk/platform-tools:/opt/android-sdk/ndk/21.4.7075529
ENV ANDROID_NDK=/opt/android-sdk/ndk/21.4.7075529
ENV JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
WORKDIR /root/
# Setup android sdk
RUN wget -nv https://dl.google.com/android/repository/commandlinetools-linux-7583922_latest.zip && \
unzip -qq commandlinetools-linux-7583922_latest.zip && \
rm commandlinetools-linux-7583922_latest.zip && \
mkdir $ANDROID_HOME && \
mkdir $ANDROID_HOME/cmdline-tools && \
mv cmdline-tools $ANDROID_HOME/cmdline-tools/latest
# We should use build-tools <=30 to avoid dx missing error
RUN echo y | sdkmanager --install "platform-tools" "platforms;android-23" "platforms;android-24" "platforms;android-26" "platforms;android-30" "build-tools;30.0.3" "ndk;21.4.7075529"
# we need <=r25 tools to use "android" command (now deprecated)
RUN wget -nv http://dl-ssl.google.com/android/repository/tools_r25.2.5-linux.zip && \
unzip -qq tools_r25.2.5-linux.zip && \
mv tools $ANDROID_HOME/. && \
rm tools_r25.2.5-linux.zip
##############
# Dependencies (took from docker/bionic/android/deps.bash)
##############
# Install directory for all dependencies
RUN mkdir -p /opt/android/arm64-v8a
# Boost
RUN echo "Install boost..." && \
wget -nv https://downloads.sourceforge.net/project/boost/boost/1.59.0/boost_1_59_0.tar.gz && \
tar -xzf boost_1_59_0.tar.gz && \
cd boost_1_59_0 && \
wget -nv https://gist.github.com/matlabbe/0bce8feeb73a499a76afbbcc5c687221/raw/1733253195bc4d4d9b7f9eda1e60628dc1e51429/BoostConfig.cmake.in && \
wget -nv https://gist.github.com/matlabbe/0bce8feeb73a499a76afbbcc5c687221/raw/1733253195bc4d4d9b7f9eda1e60628dc1e51429/CMakeLists.txt && \
mkdir build && \
cd build && \
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=23 -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" .. && \
make -j4 && \
make install && \
cd /root && \
rm -r boost_1_59_0.tar.gz boost_1_59_0
# eigen
RUN echo "Install eigen..." && \
curl -L https://gitlab.com/libeigen/eigen/-/archive/3.3.9/eigen-3.3.9.tar.gz -o 3.3.9.tar.gz && \
tar -xzf 3.3.9.tar.gz && \
cd eigen-3.3.9 && \
mkdir build && \
cd build && \
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=23 -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" .. && \
make -j4 && \
make install && \
cd /root && \
rm -r 3.3.9.tar.gz eigen-3.3.9
# FLANN
RUN echo "Install flann..." && \
git clone -b 1.8.4 https://github.com/mariusmuja/flann.git && \
cd flann && \
wget -nv https://gist.githubusercontent.com/matlabbe/cacff9f8271d0c42acd622939a26cab4/raw/85baf4927b32844ebd7f8eccce421bde181cd190/flann_1_8_4_android_fix.patch && \
git apply flann_1_8_4_android_fix.patch && \
mkdir build && \
cd build && \
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=23 -DBUILD_SHARED_LIBS=OFF -DBUILD_PYTHON_BINDINGS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" .. && \
make -j4 && \
make install && \
cd /root && \
rm -rf flann
# GTSAM
RUN echo "Install gtsam..." && \
git clone https://bitbucket.org/gtborg/gtsam.git && \
cd gtsam && \
git checkout fbb9d3bdda8b88df51896bc401bfd170573e66f5 && \
wget -nv https://gist.github.com/matlabbe/726b490c658afd3293f4b3f2f501b863/raw/df09fc8e238a495d66b062d92dc1c1fb20a581e8/gtsam_GKlib_android_fix.patch && \
git apply gtsam_GKlib_android_fix.patch && \
mkdir build && \
cd build && \
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=23 -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" -DMETIS_SHARED=OFF -DGTSAM_BUILD_STATIC_LIBRARY=ON -DGTSAM_BUILD_TESTS=OFF -DGTSAM_BUILD_EXAMPLES_ALWAYS=OFF -DGTSAM_USE_SYSTEM_EIGEN=ON .. && \
make -j4 && \
make install && \
cd /root && \
rm -rf gtsam
# g2o
RUN echo "Install g2o..." && \
git clone https://github.com/RainerKuemmerle/g2o.git && \
cd g2o && \
git checkout a3f7706bdbb849b2808dc3e1b7aee189f63b498e && \
mkdir build && \
cd build && \
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=23 -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" -DBUILD_LGPL_SHARED_LIBS=OFF -DG2O_BUILD_APPS=OFF -DG2O_BUILD_EXAMPLES=OFF -DG2O_USE_OPENGL=OFF .. && \
make -j4 && \
make install && \
cd /root && \
rm -rf g2o
# VTK
RUN echo "Install VTK..." && \
git clone https://github.com/Kitware/VTK.git && \
cd VTK && \
git checkout tags/v8.2.0 && \
wget https://gist.github.com/matlabbe/e217259fb8ece9ee6daf5a8f70e896a0/raw/2214b503a537d6431d764526b5b780f07d6f168d/vtk_8_2_0_android_r21_fix.patch && \
git apply vtk_8_2_0_android_r21_fix.patch && \
mkdir build && \
cd build && \
cmake -DBUILD_EXAMPLES=OFF -DBUILD_TESTING=OFF -DVTK_ANDROID_BUILD=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DANDROID_ARCH_ABI=arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" .. && \
make -j4 && \
cp -r CMakeExternals/Install/vtk-android/* /opt/android/arm64-v8a/. && \
cd /root && \
rm -rf VTK
# PCL
RUN echo "Install pcl..." && \
git clone https://github.com/PointCloudLibrary/pcl.git && \
cd pcl && \
git checkout tags/pcl-1.8.0 && \
wget https://gist.github.com/matlabbe/41812e50e459b2f27b331a2343569e5d/raw/b2fc0c4d1cfffb3a9f2811abae782e317c539bfb/pcl_1_8_0_vtk_android_support.patch && \
git apply pcl_1_8_0_vtk_android_support.patch && \
mkdir build && \
cd build && \
# do it 2 times because there is a cmake error on the first time and not the second time!?
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=23 -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" -DBUILD_apps=OFF -DBUILD_examples=OFF -DBUILD_tools=OFF -DBUILD_visualization=OFF -DBUILD_tracking=OFF -DBUILD_people=OFF -DBUILD_tools=OFF -DBUILD_global_tests=OFF -DWITH_QT=OFF -DWITH_OPENGL=OFF -DWITH_VTK=ON -DPCL_SHARED_LIBS=OFF .. || true && \
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=23 -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" -DBUILD_apps=OFF -DBUILD_examples=OFF -DBUILD_tools=OFF -DBUILD_visualization=OFF -DBUILD_tracking=OFF -DBUILD_people=OFF -DBUILD_tools=OFF -DBUILD_global_tests=OFF -DWITH_QT=OFF -DWITH_OPENGL=OFF -DWITH_VTK=ON -DPCL_SHARED_LIBS=OFF .. && \
make -j4 && \
make install && \
cd /root && \
rm -rf pcl
# make sure opencv is using the shared version of zlib
# see https://github.com/android/ndk/issues/1179
RUN mv $ANDROID_NDK/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/libz.a $ANDROID_NDK/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/libz.a.back
# OpenCV
RUN echo "Install OpenCV..." && \
git clone https://github.com/opencv/opencv_contrib.git && \
git clone https://github.com/opencv/opencv.git && \
cd opencv_contrib && \
git checkout tags/4.5.5 && \
cd /root && \
cd opencv && \
git checkout tags/4.5.5 && \
mkdir build && \
cd build && \
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=23 -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/android/arm64-v8a -DCMAKE_FIND_ROOT_PATH="/opt/android/arm64-v8a/bin;/opt/android/arm64-v8a;/opt/android/arm64-v8a/share" -DOPENCV_EXTRA_MODULES_PATH=/root/opencv_contrib/modules -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DWITH_CUDA=OFF -DBUILD_opencv_structured_light=OFF -DBUILD_ANDROID_PROJECTS=OFF -DOPENCV_ENABLE_NONFREE=ON -DBUILD_ANDROID_EXAMPLES=OFF -DWITH_PROTOBUF=OFF -DBUILD_opencv_stereo=OFF -DBUILD_JAVA=OFF -DWITH_QUIRC=OFF -DBUILD_opencv_js_bindings_generator=OFF -DBUILD_opencv_objc_bindings_generator=OFF -DBUILD_opencv_objdetect=OFF -DBUILD_opencv_xobjdetect=OFF .. && \
make -j4 && \
make install && \
cd /root && \
rm -rf opencv opencv_contrib
RUN echo "Strip libraries..." && \
$ANDROID_NDK/toolchains/llvm/prebuilt/linux-x86_64/bin/aarch64-linux-android-strip -g -S -d --strip-debug --verbose /opt/android/arm64-v8a/lib/*.a && \
$ANDROID_NDK/toolchains/llvm/prebuilt/linux-x86_64/bin/aarch64-linux-android-strip -g -S -d --strip-debug --verbose /opt/android/arm64-v8a/sdk/native/staticlibs/arm64-v8a/*.a
RUN mkdir /opt/android/lib
# tango
RUN wget 'https://docs.google.com/uc?authuser=0&id=12rHHkYM5k-UnQn-xGXs9JqYWhSXrgJr3&export=download' -O TangoSDK_Ikariotikos_C.zip && \
unzip -qq TangoSDK_Ikariotikos_C.zip && \
rm TangoSDK_Ikariotikos_C.zip && \
cp -r lib_tango_client_api/include/* /opt/android/arm64-v8a/include/. && \
cp -r lib_tango_client_api/lib/arm64-v8a/* /opt/android/arm64-v8a/lib/. && \
rm -r lib_tango_client_api && \
wget 'https://docs.google.com/uc?authuser=0&id=1AqVuEVu5284X6OgrGWu12VTrx4pY99Jb&export=download' -O TangoSupport_Ikariotikos_C.zip && \
unzip -qq TangoSupport_Ikariotikos_C.zip && \
rm TangoSupport_Ikariotikos_C.zip && \
cp -r lib_tango_support_api/include/* /opt/android/arm64-v8a/include/. && \
cp -r lib_tango_support_api/lib/arm64-v8a/* /opt/android/arm64-v8a/lib/. && \
rm -r lib_tango_support_api && \
wget 'https://docs.google.com/uc?authuser=0&id=1s5iPJ7xiridj9Jj--gCy2XiQFniheVm6&export=download' -O TangoSDK_Ikariotikos_Java.jar && \
mv TangoSDK_Ikariotikos_Java.jar /opt/android/lib/
# ARCore
RUN wget 'https://docs.google.com/uc?authuser=0&id=1VsibeqRYpS5pjmrG-vYTXyiPg8kbIfVN&export=download' -O arcore.zip && \
unzip -qq arcore.zip && \
rm arcore.zip && \
cp -r arcore1_18/include/* /opt/android/arm64-v8a/include/. && \
cp -r arcore1_18/arm64-v8a/* /opt/android/arm64-v8a/lib/. && \
cp arcore1_18/*.jar /opt/android/lib/ && \
rm -r arcore1_18
# AREngine
RUN wget 'https://docs.google.com/uc?authuser=0&id=1rdaD2Z1QBv-SUeUy0oBmg3C2odfxTHgR&export=download' -O arengine.zip && \
unzip -qq arengine.zip && \
rm arengine.zip && \
cp -r arengine/include/* /opt/android/arm64-v8a/include/. && \
cp -r arengine/arm64-v8a/* /opt/android/arm64-v8a/lib/. && \
cp arengine/*.jar /opt/android/lib/ && \
rm -r arengine
@@ -0,0 +1,13 @@
# Image: introlab3it/rtabmap:androidXX
FROM introlab3it/rtabmap:android-noble-deps
ARG API_VERSION=23
# Copy current source code
COPY . /root/rtabmap-tango
WORKDIR /root/rtabmap-tango
RUN /bin/bash -c "./docker/noble/android/rtabmap_apiXX/rtabmap.bash /opt/android $API_VERSION"
+29
View File
@@ -0,0 +1,29 @@
#!/bin/bash
set -e
if [ $# -ne 2 ]; then
echo "rtabmap.bash android_install_prefix api_level (23 for tango, 24 for arengine) # Example: build.bash /opt/android 24"
exit 1
fi
prefix=$1
api=$2
# copy required jars
cp /opt/android/lib/*.jar app/android/libs/.
# resource tool
cd build
cmake -DANDROID_PREBUILD=ON ..
make
# rtabmap
mkdir arm64-v8a
cd arm64-v8a
cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_NDK=$ANDROID_NDK -DANDROID_NATIVE_API_LEVEL=$api -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=$prefix/arm64-v8a -DCMAKE_FIND_ROOT_PATH="$prefix/arm64-v8a/bin;$prefix/arm64-v8a;$prefix/arm64-v8a/share" -DBUILD_EXAMPLES=OFF -DBUILD_TOOLS=OFF -DOpenCV_DIR=$prefix/arm64-v8a/sdk/native/jni ../..
make
make clean
+19 -8
View File
@@ -58,7 +58,7 @@ RUN git clone https://github.com/borglab/gtsam.git && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release -DGTSAM_BUILD_WITH_MARCH_NATIVE=OFF -DGTSAM_USE_SYSTEM_EIGEN=ON .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r gtsam
@@ -72,7 +72,7 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing libfreenect2
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r libfreenect2; fi
@@ -86,29 +86,40 @@ RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then echo "Installing zed-open-cap
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd && \
rm -r zed-open-capture; fi
# OpenCV with all modules (same version than distro version to avoid conflicts with cv_bridge ros package)
COPY ./docker/noble/deps/opencv_4_6_0_ffmpeg.patch .
RUN git clone --branch 4.6.0 https://github.com/opencv/opencv.git && \
git clone --branch 4.6.0 https://github.com/opencv/opencv_contrib.git && \
mv opencv_4_6_0_ffmpeg.patch opencv/. && \
cd opencv && \
git apply opencv_4_6_0_ffmpeg.patch && \
sed -i '/#include <libavformat\/avformat.h>/i #include <libavcodec/version.h>' modules/videoio/src/ffmpeg_codecs.hpp && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release -DWITH_TBB=ON -DWITH_ADE=OFF -DWITH_OPENMP=ON -DBUILD_opencv_python3=OFF -DBUILD_opencv_python_bindings_generator=OFF -DBUILD_opencv_python_tests=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_TESTS=OFF -DOPENCV_ENABLE_NONFREE=ON -DOPENCV_EXTRA_MODULES_PATH=/root/opencv_contrib/modules .. && \
make -j$(nproc) && \
make -j4 && \
make install && \
cd ../.. && \
rm -rf opencv opencv_contrib
RUN git clone https://github.com/laurentkneip/opengv.git && \
cd opengv && \
git checkout 91f4b19c73450833a40e463ad3648aae80b3a7f3 && \
wget https://gist.githubusercontent.com/matlabbe/a412cf7c4627253874f81a00745a7fbb/raw/accc3acf465d1ffd0304a46b17741f62d4d354ef/opengv_disable_march_native.patch && \
git apply opengv_disable_march_native.patch && \
mkdir build && \
cd build && \
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTS=OFF .. && \
make -j4 && \
make install && \
cd && \
rm -r opengv
RUN rm /bin/sh && ln -s /bin/bash /bin/sh
COPY ./docker/noble/deps/ros_entrypoint.sh /ros_entrypoint.sh
RUN echo -e '#!/bin/bash\nset -e\n\n# setup ros2 environment\nsource "/opt/ros/jazzy/setup.bash" --\nexec "$@"' > /ros_entrypoint.sh
RUN chmod +x /ros_entrypoint.sh
ENTRYPOINT [ "/ros_entrypoint.sh" ]
@@ -1,12 +0,0 @@
diff --git a/modules/videoio/src/ffmpeg_codecs.hpp b/modules/videoio/src/ffmpeg_codecs.hpp
index 61788e0345..faad2596ed 100644
--- a/modules/videoio/src/ffmpeg_codecs.hpp
+++ b/modules/videoio/src/ffmpeg_codecs.hpp
@@ -60,6 +60,7 @@ extern "C" {
#include <errno.h>
#endif
+#include <libavcodec/version.h>
#include <libavformat/avformat.h>
#ifdef __cplusplus
-6
View File
@@ -1,6 +0,0 @@
#!/bin/bash
set -e
# setup ros2 environment
source "/opt/ros/jazzy/setup.bash" --
exec "$@"
+2 -1
View File
@@ -256,7 +256,8 @@ int main(int argc, char * argv[])
node.sensorData(),
4, // image decimation before creating the clouds
4.0f, // maximum depth of the cloud
0.0f);
0.0f,
0);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr tmpNoNaN(new pcl::PointCloud<pcl::PointXYZRGB>);
std::vector<int> index;
pcl::removeNaNFromPointCloud(*tmp, *tmpNoNaN, index);
+1
View File
@@ -80,6 +80,7 @@ public:
void updateLocalPath(const std::vector<int> & localPath);
void setGlobalPath(const std::vector<std::pair<int, Transform> > & globalPath);
void setCurrentGoalID(int id, const Transform & pose = Transform());
void setNodeInfo(int id, const QString & info);
void setLocalRadius(float radius);
void highlightNode(int nodeId, int highlightIndex);
void clearGraph();
+8 -2
View File
@@ -60,6 +60,7 @@ public:
QRectF sceneRect() const;
bool isImageShown() const;
bool isImageDepthShown() const;
bool isImageDepthConfidenceShown() const;
bool isFeaturesShown() const;
bool isLinesShown() const;
int getAlpha() const {return _alpha;}
@@ -82,6 +83,7 @@ public:
void setFeaturesShown(bool shown);
void setImageShown(bool shown);
void setImageDepthShown(bool shown);
void setImageDepthConfidenceShown(bool shown);
void setLinesShown(bool shown);
void setGraphicsViewMode(bool on);
void setGraphicsViewScaled(bool scaled);
@@ -98,8 +100,8 @@ public:
void addFeature(int id, const cv::KeyPoint & kpt, float depth, QColor color);
void addLine(float x1, float y1, float x2, float y2, QColor color, const QString & text = QString());
void setImage(const QImage & image, const std::vector<CameraModel> & models = std::vector<CameraModel>(), const Transform & pose = Transform());
void setImageDepth(const cv::Mat & imageDepth);
void setImageDepth(const QImage & image);
void setImageDepth(const cv::Mat & imageDepth, const cv::Mat & imageDepthConfidence = cv::Mat());
void setImageDepth(const QImage & image, const QImage & imageDepthConfidence = QImage());
void setFeatureColor(int id, QColor color);
void setFeaturesColor(QColor color);
void setAlpha(int alpha);
@@ -147,6 +149,7 @@ private:
QMenu * _menu;
QAction * _showImage;
QAction * _showImageDepth;
QAction * _showImageDepthConfidence;
QAction * _showFeatures;
QAction * _showLines;
QAction * _setFeatureColor;
@@ -175,9 +178,12 @@ private:
QList<QGraphicsLineItem*> _lines;
QGraphicsPixmapItem * _imageItem;
QGraphicsPixmapItem * _imageDepthItem;
QGraphicsPixmapItem * _imageDepthConfidenceItem;
QPixmap _image;
QPixmap _imageDepth;
QPixmap _imageDepthConfidence;
cv::Mat _imageDepthCv;
cv::Mat _imageDepthConfidenceCv;
std::vector<CameraModel> _models;
Transform _pose;
};
@@ -208,6 +208,7 @@ public:
double getCloudMaxDepth(int index) const; // 0=map, 1=odom
double getCloudMinDepth(int index) const; // 0=map, 1=odom
std::vector<float> getCloudRoiRatios(int index) const; // 0=map, 1=odom
unsigned char getCloudConfidenceThr(int index) const; // 0=map, 1=odom
int getCloudColorScheme(int index) const; // 0=map, 1=odom
double getCloudOpacity(int index) const; // 0=map, 1=odom
int getCloudPointSize(int index) const; // 0=map, 1=odom
@@ -466,6 +467,7 @@ private:
QVector<QDoubleSpinBox*> _3dRenderingMaxDepth;
QVector<QDoubleSpinBox*> _3dRenderingMinDepth;
QVector<QLineEdit*> _3dRenderingRoiRatios;
QVector<QSpinBox*> _3dRenderingDepthConfidenceThr;
QVector<QSpinBox*> _3dRenderingColorScheme;
QVector<QDoubleSpinBox*> _3dRenderingOpacity;
QVector<QSpinBox*> _3dRenderingPtSize;
+25 -4
View File
@@ -39,7 +39,7 @@ enum uCvQtDepthColorMap{
* depth (float32, uint16) image and RGB/BGR 8bits images.
* @param image the cv::Mat image (can be 1 channel [CV_8U, CV_16U or CV_32F] or 3 channels [CV_U8])
* @param isBgr if 3 channels, it is BGR or RGB order.
* @param colorMap gradient of color to use to visualize depth
* @param colorMap gradient of color to use to visualize depth or monochrome images
* @param depthMin fixed minimum range (m) of the depth gradient (if depthMax<=depthMin, max/min are computed based on data in depth image)
* @param depthMax fixed maximum range (m) of the depth gradient (if depthMax<=depthMin, max/min are computed based on data in depth image)
* @return the QImage
@@ -47,7 +47,7 @@ enum uCvQtDepthColorMap{
inline QImage uCvMat2QImage(
const cv::Mat & image,
bool isBgr = true,
uCvQtDepthColorMap colorMap = uCvQtDepthWhiteToBlack,
uCvQtDepthColorMap colorMap = uCvQtDepthBlackToWhite,
float depthMin = 0,
float depthMax = 0)
{
@@ -81,9 +81,30 @@ inline QImage uCvMat2QImage(
{
// mono grayscale
qtemp = QImage(image.data, image.cols, image.rows, image.cols, QImage::Format_Indexed8).copy();
QVector<QRgb> my_table;
for(int i = 0; i < 256; i++)
my_table.push_back(qRgb(i,i,i));
my_table.reserve(256);
if(colorMap == uCvQtDepthRedToBlue || colorMap == uCvQtDepthBlueToRed)
{
if(colorMap == uCvQtDepthBlueToRed) {
for(int i = 0; i < 256; i++)
my_table.push_back(QColor::fromHsv(255-i, 255, 255, 255).rgb());
}
else {
for(int i = 0; i < 256; i++)
my_table.push_back(QColor::fromHsv(i, 255, 255, 255).rgb());
}
}
else if(colorMap == uCvQtDepthBlackToWhite)
{
for(int i = 0; i < 256; i++)
my_table.push_back(qRgb(i,i,i));
}
else // uCvQtDepthWhiteToBlack
{
for(int i = 0; i < 256; i++)
my_table.push_back(qRgb(255-i,255-i,255-i));
}
qtemp.setColorTable(my_table);
}
else
+92 -10
View File
@@ -427,6 +427,10 @@ DatabaseViewer::DatabaseViewer(const QString & ini, QWidget * parent) :
connect(ui_->checkBox_showDisparityInsteadOfRight, SIGNAL(stateChanged(int)), this, SLOT(update3dView()));
connect(ui_->spinBox_decimation, SIGNAL(valueChanged(int)), this, SLOT(updateConstraintView()));
connect(ui_->spinBox_decimation, SIGNAL(valueChanged(int)), this, SLOT(update3dView()));
connect(ui_->spinBox_depthConfidence, SIGNAL(valueChanged(int)), this, SLOT(updateConstraintView()));
connect(ui_->spinBox_depthConfidence, SIGNAL(valueChanged(int)), this, SLOT(update3dView()));
connect(ui_->doubleSpinBox_depthEdgeBleedingError, SIGNAL(valueChanged(double)), this, SLOT(updateConstraintView()));
connect(ui_->doubleSpinBox_depthEdgeBleedingError, SIGNAL(valueChanged(double)), this, SLOT(update3dView()));
connect(ui_->groupBox_posefiltering, SIGNAL(clicked(bool)), this, SLOT(updateGraphView()));
connect(ui_->doubleSpinBox_posefilteringRadius, SIGNAL(editingFinished()), this, SLOT(updateGraphView()));
connect(ui_->doubleSpinBox_posefilteringAngle, SIGNAL(editingFinished()), this, SLOT(updateGraphView()));
@@ -457,6 +461,8 @@ DatabaseViewer::DatabaseViewer(const QString & ini, QWidget * parent) :
connect(ui_->checkBox_cameraProjection, SIGNAL(stateChanged(int)), this, SLOT(configModified()));
connect(ui_->checkBox_showDisparityInsteadOfRight, SIGNAL(stateChanged(int)), this, SLOT(configModified()));
connect(ui_->spinBox_decimation, SIGNAL(valueChanged(int)), this, SLOT(configModified()));
connect(ui_->spinBox_depthConfidence, SIGNAL(valueChanged(int)), this, SLOT(configModified()));
connect(ui_->doubleSpinBox_depthEdgeBleedingError, SIGNAL(valueChanged(double)), this, SLOT(configModified()));
connect(ui_->groupBox_posefiltering, SIGNAL(clicked(bool)), this, SLOT(configModified()));
connect(ui_->doubleSpinBox_posefilteringRadius, SIGNAL(valueChanged(double)), this, SLOT(configModified()));
connect(ui_->doubleSpinBox_posefilteringAngle, SIGNAL(valueChanged(double)), this, SLOT(configModified()));
@@ -616,6 +622,8 @@ void DatabaseViewer::readSettings()
ui_->doubleSpinBox_gainCompensationRadius->setValue(settings.value("gainCompensationRadius", ui_->doubleSpinBox_gainCompensationRadius->value()).toDouble());
ui_->doubleSpinBox_voxelSize->setValue(settings.value("voxelSize", ui_->doubleSpinBox_voxelSize->value()).toDouble());
ui_->spinBox_decimation->setValue(settings.value("decimation", ui_->spinBox_decimation->value()).toInt());
ui_->spinBox_depthConfidence->setValue(settings.value("depth_confidence_thr", ui_->spinBox_depthConfidence->value()).toInt());
ui_->doubleSpinBox_depthEdgeBleedingError->setValue(settings.value("depth_bleeding_error", ui_->doubleSpinBox_depthEdgeBleedingError->value()).toDouble());
ui_->checkBox_cameraProjection->setChecked(settings.value("camProj", ui_->checkBox_cameraProjection->isChecked()).toBool());
ui_->checkBox_showDisparityInsteadOfRight->setChecked(settings.value("showDisp", ui_->checkBox_showDisparityInsteadOfRight->isChecked()).toBool());
settings.endGroup();
@@ -707,6 +715,8 @@ void DatabaseViewer::writeSettings()
settings.setValue("gainCompensationRadius", ui_->doubleSpinBox_gainCompensationRadius->value());
settings.setValue("voxelSize", ui_->doubleSpinBox_voxelSize->value());
settings.setValue("decimation", ui_->spinBox_decimation->value());
settings.setValue("depth_confidence", ui_->spinBox_depthConfidence->value());
settings.setValue("depth_bleeding_error", ui_->doubleSpinBox_depthEdgeBleedingError->value());
settings.setValue("camProj", ui_->checkBox_cameraProjection->isChecked());
settings.setValue("showDisp", ui_->checkBox_showDisparityInsteadOfRight->isChecked());
settings.endGroup();
@@ -801,6 +811,8 @@ void DatabaseViewer::restoreDefaultSettings()
ui_->doubleSpinBox_gainCompensationRadius->setValue(0.0);
ui_->doubleSpinBox_voxelSize->setValue(0.0);
ui_->spinBox_decimation->setValue(1);
ui_->spinBox_depthConfidence->setValue(0);
ui_->doubleSpinBox_depthEdgeBleedingError->setValue(0.0);
ui_->checkBox_cameraProjection->setChecked(false);
ui_->checkBox_showDisparityInsteadOfRight->setChecked(false);
@@ -1584,6 +1596,11 @@ void DatabaseViewer::extractImages()
dir.mkdir(QString("%1/rgb").arg(path));
dir.mkdir(QString("%1/depth").arg(path));
dir.mkdir(QString("%1/calib").arg(path));
if(!data.depthConfidenceRaw().empty())
{
dir.mkdir(QString("%1/confidence").arg(path));
directoriesCreated = true;
}
directoriesCreated = true;
}
}
@@ -1668,7 +1685,14 @@ void DatabaseViewer::extractImages()
UWARN("Failed saving \"%s\"", QString("%1/rgb/%2.%3").arg(path).arg(id).arg(ext).toStdString().c_str());
if(!cv::imwrite(QString("%1/depth/%2.png").arg(path).arg(id).toStdString(), data.depthRaw().type()==CV_32FC1?util2d::cvtDepthFromFloat(data.depthRaw()):data.depthRaw()))
UWARN("Failed saving \"%s\"", QString("%1/depth/%2.png").arg(path).arg(id).toStdString().c_str());
UINFO(QString("Saved rgb/%1.%2 and depth/%1.png").arg(id).arg(ext).toStdString().c_str());
if(data.depthConfidenceRaw().empty()) {
UINFO(QString("Saved rgb/%1.%2 and depth/%1.png").arg(id).arg(ext).toStdString().c_str());
}
else {
if(!cv::imwrite(QString("%1/confidence/%2.png").arg(path).arg(id).toStdString(), data.depthConfidenceRaw()))
UWARN("Failed saving \"%s\"", QString("%1/confidence/%2.png").arg(path).arg(id).toStdString().c_str());
UINFO(QString("Saved rgb/%1.%2, depth/%1.png and confidence/%1.png").arg(id).arg(ext).toStdString().c_str());
}
}
else
{
@@ -3457,18 +3481,24 @@ void DatabaseViewer::exportOptimizedMesh()
path += ".obj";
}
QString baseName = QFileInfo(path).baseName();
UDEBUG("Materials: %d", mesh->tex_materials.size());
if(mesh->tex_materials.size() == 1)
{
mesh->tex_materials.at(0).tex_file = baseName.toStdString() + ".png";
cv::imwrite((QFileInfo(path).absoluteDir().absolutePath()+QDir::separator()+baseName).toStdString() + ".png", textures);
std::string filename = (QFileInfo(path).absoluteDir().absolutePath()+QDir::separator()+baseName).toStdString() + ".png";
cv::imwrite(filename, textures);
UDEBUG("Saved %s", filename.c_str());
}
else
{
QDir(QFileInfo(path).absoluteDir().absolutePath()).mkdir(baseName);
for(unsigned int i=0; i<mesh->tex_materials.size(); ++i)
{
mesh->tex_materials.at(i).tex_file = (baseName+QDir::separator()+QString::number(i)+".png").toStdString();
UASSERT((i+1)*textures.rows <= (unsigned int)textures.cols);
cv::imwrite((QFileInfo(path).absoluteDir().absolutePath()+QDir::separator()+baseName+QDir::separator()+QString::number(i)+".png").toStdString(), textures(cv::Range::all(), cv::Range(i*textures.rows, (i+1)*textures.rows)));
std::string filename = (QFileInfo(path).absoluteDir().absolutePath()+QDir::separator()+baseName+QDir::separator()+QString::number(i)+".png").toStdString();
cv::imwrite(filename, textures(cv::Range::all(), cv::Range(i*textures.rows, (i+1)*textures.rows)));
UDEBUG("Saved %s", filename.c_str());
}
}
pcl::io::saveOBJFile(path.toStdString(), *mesh);
@@ -4807,7 +4837,7 @@ void DatabaseViewer::update(int value,
if(!imgDepth.empty())
{
view->setImageDepth(imgDepth);
view->setImageDepth(imgDepth, data.depthConfidenceRaw());
if(img.isNull())
{
rect.setWidth(imgDepth.cols);
@@ -5266,6 +5296,12 @@ void DatabaseViewer::update(int value,
{
if(!data.depthOrRightRaw().empty())
{
if(!data.depthRaw().empty() && ui_->doubleSpinBox_depthEdgeBleedingError->value() > 0.0) {
cv::Mat depth = data.depthRaw();
util2d::depthBleedingFiltering(depth, ui_->doubleSpinBox_depthEdgeBleedingError->value());
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
if(!data.imageRaw().empty())
{
std::vector<pcl::PointCloud<pcl::PointXYZRGB>::Ptr> clouds;
@@ -5281,8 +5317,13 @@ void DatabaseViewer::update(int value,
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud = util3d::cloudFromDepthRGB(
data.imageRaw(),
depth,
data.depthConfidenceRaw(),
data.cameraModels()[0],
ui_->spinBox_decimation->value(),0,0,indices.get());
ui_->spinBox_decimation->value(),
0,
0,
(unsigned char)ui_->spinBox_depthConfidence->value(),
indices.get());
if(indices->size())
{
clouds.push_back(util3d::transformPointCloud(cloud, data.cameraModels()[0].localTransform()));
@@ -5291,7 +5332,14 @@ void DatabaseViewer::update(int value,
}
else
{
clouds = util3d::cloudsRGBFromSensorData(data, ui_->spinBox_decimation->value(), 0, 0, &allIndices, ui_->parameters_toolbox->getParameters());
clouds = util3d::cloudsRGBFromSensorData(
data,
ui_->spinBox_decimation->value(),
0,
0,
&allIndices,
ui_->parameters_toolbox->getParameters(),std::vector<float>(),
(unsigned char)ui_->spinBox_depthConfidence->value());
}
UASSERT(clouds.size() == allIndices.size());
for(size_t i=0; i<allIndices.size(); ++i)
@@ -5366,7 +5414,14 @@ void DatabaseViewer::update(int value,
std::vector<pcl::PointCloud<pcl::PointXYZ>::Ptr> clouds;
std::vector<pcl::IndicesPtr> allIndices;
clouds = util3d::cloudsFromSensorData(data, ui_->spinBox_decimation->value(), 0, 0, &allIndices, ui_->parameters_toolbox->getParameters());
clouds = util3d::cloudsFromSensorData(
data,
ui_->spinBox_decimation->value(),
0,
0,
&allIndices, ui_->parameters_toolbox->getParameters(),
std::vector<float>(),
(unsigned char)ui_->spinBox_depthConfidence->value());
UASSERT(clouds.size() == allIndices.size());
for(size_t i=0; i<allIndices.size(); ++i)
{
@@ -6358,11 +6413,12 @@ void DatabaseViewer::updateConstraintView(
ui_->checkBox_showOptimized->setEnabled(true);
Transform topt = iterFrom->second.inverse()*iterTo->second;
float diff = topt.getDistance(t);
Transform v1 = t.rotation()*Transform(1,0,0,0,0,0);
Transform v2 = topt.rotation()*Transform(1,0,0,0,0,0);
float a = pcl::getAngle3D(Eigen::Vector4f(v1.x(), v1.y(), v1.z(), 0), Eigen::Vector4f(v2.x(), v2.y(), v2.z(), 0));
a = (a *180.0f) / CV_PI;
ui_->label_constraint_opt->setText(QString("%1\n(error=%2% a=%3)").arg(QString(topt.prettyPrint().c_str()).replace(" ", "\n")).arg((t.getNorm()>0?diff/t.getNorm():0)*100.0f).arg(a));
ui_->label_constraint_opt->setText(QString("%1\n(error=%2% a=%3 deg)").arg(QString(topt.prettyPrint().c_str()).replace(" ", "\n")).arg((t.getNorm()>0?diff/t.getNorm():0)*100.0f).arg(a));
if(ui_->checkBox_showOptimized->isChecked())
{
@@ -6493,11 +6549,37 @@ void DatabaseViewer::updateConstraintView(
pcl::IndicesPtr indicesTo(new std::vector<int>);
if(!dataFrom.imageRaw().empty() && !dataFrom.depthOrRightRaw().empty())
{
cloudFrom=util3d::cloudRGBFromSensorData(dataFrom, ui_->spinBox_decimation->value(), 0, 0, indicesFrom.get(), ui_->parameters_toolbox->getParameters());
if(!dataFrom.depthRaw().empty() && ui_->doubleSpinBox_depthEdgeBleedingError->value() > 0.0) {
cv::Mat depth = dataFrom.depthRaw();
util2d::depthBleedingFiltering(depth, ui_->doubleSpinBox_depthEdgeBleedingError->value());
dataFrom.setRGBDImage(dataFrom.imageRaw(), depth, dataFrom.depthConfidenceRaw(), dataFrom.cameraModels());
}
cloudFrom=util3d::cloudRGBFromSensorData(
dataFrom,
ui_->spinBox_decimation->value(),
0,
0,
indicesFrom.get(),
ui_->parameters_toolbox->getParameters(),
std::vector<float>(),
(unsigned char)ui_->spinBox_depthConfidence->value());
}
if(!dataTo.imageRaw().empty() && !dataTo.depthOrRightRaw().empty())
{
cloudTo=util3d::cloudRGBFromSensorData(dataTo, ui_->spinBox_decimation->value(), 0, 0, indicesTo.get(), ui_->parameters_toolbox->getParameters());
if(!dataTo.depthRaw().empty() && ui_->doubleSpinBox_depthEdgeBleedingError->value() > 0.0) {
cv::Mat depth = dataTo.depthRaw();
util2d::depthBleedingFiltering(depth, ui_->doubleSpinBox_depthEdgeBleedingError->value());
dataTo.setRGBDImage(dataTo.imageRaw(), depth, dataTo.depthConfidenceRaw(), dataTo.cameraModels());
}
cloudTo=util3d::cloudRGBFromSensorData(
dataTo,
ui_->spinBox_decimation->value(),
0,
0,
indicesTo.get(),
ui_->parameters_toolbox->getParameters(),
std::vector<float>(),
(unsigned char)ui_->spinBox_depthConfidence->value());
}
if(cloudTo.get() && indicesTo->size())
+4 -2
View File
@@ -203,6 +203,7 @@ void ExportBundlerDialog::exportBundler(
}
if(_ui->sba_iterations->value() > 0)
{
UINFO("Do BA optimization with %d iterations.", _ui->sba_iterations->value());
poses = sba->optimizeBA(
posesOut.begin()->first,
posesOut,
@@ -210,11 +211,12 @@ void ExportBundlerDialog::exportBundler(
signatures.toStdMap(),
points3DMap,
wordReferences,
_ui->sba_rematchFeatures->isChecked());
_ui->sba_rematchFeatures->isChecked(),
parametersSBA);
}
else
{
// do not optimize, just compute 3D features and word correspondences
UINFO("Do not optimize, just compute 3D features and word correspondences.");
poses = posesOut;
sba->computeBACorrespondences(poses,
linksOut,
+32 -6
View File
@@ -151,6 +151,9 @@ ExportCloudsDialog::ExportCloudsDialog(QWidget *parent) :
connect(_ui->lineEdit_distortionModel, SIGNAL(textChanged(const QString &)), this, SIGNAL(configChanged()));
connect(_ui->toolButton_distortionModel, SIGNAL(clicked()), this, SLOT(selectDistortionModel()));
connect(_ui->spinBox_depthConfidence, SIGNAL(valueChanged(int)), this, SIGNAL(configChanged()));
connect(_ui->doubleSpinBox_depthEdgeFiltering, SIGNAL(valueChanged(double)), this, SIGNAL(configChanged()));
connect(_ui->checkBox_bilateral, SIGNAL(stateChanged(int)), this, SIGNAL(configChanged()));
connect(_ui->checkBox_bilateral, SIGNAL(stateChanged(int)), this, SLOT(updateReconstructionFlavor()));
connect(_ui->doubleSpinBox_bilateral_sigmaS, SIGNAL(valueChanged(double)), this, SIGNAL(configChanged()));
@@ -401,6 +404,8 @@ void ExportCloudsDialog::saveSettings(QSettings & settings, const QString & grou
settings.setValue("regenerate_fill_error", _ui->spinBox_fillDepthHolesError->value());
settings.setValue("regenerate_roi", _ui->lineEdit_roiRatios->text());
settings.setValue("regenerate_distortion_model", _ui->lineEdit_distortionModel->text());
settings.setValue("regenerate_min_depth_confidence", _ui->spinBox_depthConfidence->value());
settings.setValue("regenerate_edge_bleeding_error", _ui->doubleSpinBox_depthEdgeFiltering->value());
settings.setValue("bilateral", _ui->checkBox_bilateral->isChecked());
settings.setValue("bilateral_sigma_s", _ui->doubleSpinBox_bilateral_sigmaS->value());
@@ -584,6 +589,8 @@ void ExportCloudsDialog::loadSettings(QSettings & settings, const QString & grou
_ui->spinBox_fillDepthHolesError->setValue(settings.value("regenerate_fill_error", _ui->spinBox_fillDepthHolesError->value()).toInt());
_ui->lineEdit_roiRatios->setText(settings.value("regenerate_roi", _ui->lineEdit_roiRatios->text()).toString());
_ui->lineEdit_distortionModel->setText(settings.value("regenerate_distortion_model", _ui->lineEdit_distortionModel->text()).toString());
_ui->spinBox_depthConfidence->setValue(settings.value("regenerate_min_depth_confidence", _ui->spinBox_depthConfidence->value()).toInt());
_ui->doubleSpinBox_depthEdgeFiltering->setValue(settings.value("regenerate_edge_bleeding_error", _ui->doubleSpinBox_depthEdgeFiltering->value()).toDouble());
_ui->checkBox_bilateral->setChecked(settings.value("bilateral", _ui->checkBox_bilateral->isChecked()).toBool());
_ui->doubleSpinBox_bilateral_sigmaS->setValue(settings.value("bilateral_sigma_s", _ui->doubleSpinBox_bilateral_sigmaS->value()).toDouble());
@@ -770,6 +777,8 @@ void ExportCloudsDialog::restoreDefaults()
_ui->spinBox_fillDepthHolesError->setValue(2);
_ui->lineEdit_roiRatios->setText("0.0 0.0 0.0 0.0");
_ui->lineEdit_distortionModel->setText("");
_ui->spinBox_depthConfidence->setValue(0);
_ui->doubleSpinBox_depthEdgeFiltering->setValue(0.0);
_ui->checkBox_bilateral->setChecked(false);
_ui->doubleSpinBox_bilateral_sigmaS->setValue(10.0);
@@ -3685,20 +3694,30 @@ std::map<int, std::pair<pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr, pcl::Indic
{
const Signature & s = cachedSignatures.find(iter->first).value();
data = s.sensorData();
cv::Mat image,depth;
cv::Mat image,depth,confidence;
data.uncompressData(
_ui->checkBox_fromDepth->isChecked()?&image:0,
_ui->checkBox_fromDepth->isChecked()?&depth:0,
!_ui->checkBox_fromDepth->isChecked()?&scan:0);
!_ui->checkBox_fromDepth->isChecked()?&scan:0,
0,
0,
0,
0,
_ui->checkBox_fromDepth->isChecked()?&confidence:0);
}
else if(_dbDriver)
{
cv::Mat image,depth;
cv::Mat image,depth,confidence;
_dbDriver->getNodeData(iter->first, data, _ui->checkBox_fromDepth->isChecked(), !_ui->checkBox_fromDepth->isChecked(), false, false);
data.uncompressData(
_ui->checkBox_fromDepth->isChecked()?&image:0,
_ui->checkBox_fromDepth->isChecked()?&depth:0,
!_ui->checkBox_fromDepth->isChecked()?&scan:0);
!_ui->checkBox_fromDepth->isChecked()?&scan:0,
0,
0,
0,
0,
_ui->checkBox_fromDepth->isChecked()?&confidence:0);
}
if(_ui->checkBox_fromDepth->isChecked() && !data.imageRaw().empty() && !data.depthOrRightRaw().empty())
@@ -3719,6 +3738,12 @@ std::map<int, std::pair<pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr, pcl::Indic
model.undistort(depth);
}
// edge bleeding filter
if(!depth.empty() && _ui->doubleSpinBox_depthEdgeFiltering->value()>0.0)
{
util2d::depthBleedingFiltering(depth, _ui->doubleSpinBox_depthEdgeFiltering->value());
}
// bilateral filtering
if(!depth.empty() && _ui->checkBox_bilateral->isChecked())
{
@@ -3729,7 +3754,7 @@ std::map<int, std::pair<pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr, pcl::Indic
if(!depth.empty())
{
data.setRGBDImage(data.imageRaw(), depth, data.cameraModels());
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
UASSERT(iter->first == data.id());
@@ -3754,7 +3779,8 @@ std::map<int, std::pair<pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr, pcl::Indic
_ui->doubleSpinBox_minDepth->value(),
indices.get(),
parameters,
roiRatios);
roiRatios,
(unsigned char)_ui->spinBox_depthConfidence->value());
if(cloudWithoutNormals->size())
{
+25 -1
View File
@@ -109,6 +109,10 @@ public:
_value = value;
}
void setToolTipInfo(const QString & info) {
_info = info;
}
void setRadius(float radius)
{
float r,p,yaw;
@@ -160,6 +164,10 @@ protected:
{
msg += QString("\n%1=%2").arg(_valueName).arg(_value);
}
if(!_info.isEmpty())
{
msg += QString("\n%1").arg(_info);
}
this->setToolTip(msg);
@@ -181,6 +189,7 @@ private:
QGraphicsLineItem * _line;
QString _valueName;
float _value;
QString _info;
};
class NodeGPSItem: public NodeItem
@@ -522,6 +531,7 @@ void GraphViewer::updateGraph(const std::map<int, Transform> & poses,
}
iter.value()->hide();
iter.value()->setColor(color); // reset color
iter.value()->setToolTipInfo(QString());
iter.value()->setZValue(iter.key()<0?21:20);
}
for(QMultiMap<int, LinkItem*>::iterator iter = _linkItems.begin(); iter!=_linkItems.end(); ++iter)
@@ -558,7 +568,7 @@ void GraphViewer::updateGraph(const std::map<int, Transform> & poses,
item->setZValue(iter->first<0?21:20);
item->setColor(color);
item->setParentItem(_graphRoot);
item->setVisible(_nodeVisible);
item->show();
_nodeItems.insert(iter->first, item);
}
}
@@ -732,6 +742,7 @@ void GraphViewer::updateGraph(const std::map<int, Transform> & poses,
}
else
{
iter.value()->setVisible(_nodeVisible);
++iter;
}
}
@@ -1166,6 +1177,19 @@ void GraphViewer::setCurrentGoalID(int id, const Transform & pose)
}
}
void GraphViewer::setNodeInfo(int id, const QString & info)
{
NodeItem * node = _nodeItems.value(id, 0);
if(node)
{
node->setToolTipInfo(info);
}
else
{
UWARN("Node %d not found in the graph", id);
}
}
void GraphViewer::setLocalRadius(float radius)
{
_localRadius->setRect(-radius*100, -radius*100, radius*200, radius*200);
+156 -47
View File
@@ -181,7 +181,8 @@ ImageView::ImageView(QWidget * parent) :
_depthColorMapMinRange(0),
_depthColorMapMaxRange(0),
_imageItem(0),
_imageDepthItem(0)
_imageDepthItem(0),
_imageDepthConfidenceItem(0)
{
#if QT_VERSION >= 0x050000
_savedFileName = QStandardPaths::writableLocation(QStandardPaths::PicturesLocation);
@@ -209,9 +210,12 @@ ImageView::ImageView(QWidget * parent) :
_showImage = _menu->addAction(tr("Show image"));
_showImage->setCheckable(true);
_showImage->setChecked(true);
_showImageDepth = _menu->addAction(tr("Show image depth"));
_showImageDepth = _menu->addAction(tr("Show depth image"));
_showImageDepth->setCheckable(true);
_showImageDepth->setChecked(false);
_showImageDepthConfidence = _menu->addAction(tr("Show depth confidence"));
_showImageDepthConfidence->setCheckable(true);
_showImageDepthConfidence->setChecked(false);
_featureMenu = _menu->addMenu("Features");
_showFeatures = _featureMenu->addAction(tr("Show features"));
_showFeatures->setCheckable(true);
@@ -293,6 +297,7 @@ void ImageView::saveSettings(QSettings & settings, const QString & group) const
}
settings.setValue("image_shown", this->isImageShown());
settings.setValue("depth_shown", this->isImageDepthShown());
settings.setValue("confidence_shown", this->isImageDepthConfidenceShown());
settings.setValue("features_shown", this->isFeaturesShown());
settings.setValue("features_size", this->getFeaturesSize());
settings.setValue("lines_shown", this->isLinesShown());
@@ -322,6 +327,7 @@ void ImageView::loadSettings(QSettings & settings, const QString & group)
}
this->setImageShown(settings.value("image_shown", this->isImageShown()).toBool());
this->setImageDepthShown(settings.value("depth_shown", this->isImageDepthShown()).toBool());
this->setImageDepthConfidenceShown(settings.value("confidence_shown", this->isImageDepthConfidenceShown()).toBool());
this->setFeaturesShown(settings.value("features_shown", this->isFeaturesShown()).toBool());
this->setFeaturesSize(settings.value("features_size", this->getFeaturesSize()).toInt());
this->setLinesShown(settings.value("lines_shown", this->isLinesShown()).toBool());
@@ -363,6 +369,11 @@ bool ImageView::isImageDepthShown() const
return _showImageDepth->isChecked();
}
bool ImageView::isImageDepthConfidenceShown() const
{
return _showImageDepthConfidence->isChecked();
}
bool ImageView::isFeaturesShown() const
{
return _showFeatures->isChecked();
@@ -466,6 +477,13 @@ void ImageView::setImageShown(bool shown)
void ImageView::setImageDepthShown(bool shown)
{
_showImageDepth->setChecked(shown);
if(shown)
{
_showImageDepthConfidence->setChecked(false);
if(_imageDepthConfidenceItem) {
_imageDepthConfidenceItem->setVisible(false);
}
}
if(_imageDepthItem)
{
_imageDepthItem->setVisible(_showImageDepth->isChecked());
@@ -478,6 +496,28 @@ void ImageView::setImageDepthShown(bool shown)
}
}
void ImageView::setImageDepthConfidenceShown(bool shown)
{
_showImageDepthConfidence->setChecked(shown);
if(shown)
{
_showImageDepth->setChecked(false);
if(_imageDepthItem) {
_imageDepthItem->setVisible(false);
}
}
if(_imageDepthConfidenceItem)
{
_imageDepthConfidenceItem->setVisible(_showImageDepthConfidence->isChecked());
this->updateOpacity();
}
if(!_graphicsView->isVisible())
{
this->update();
}
}
bool ImageView::isLinesShown() const
{
return _showLines->isChecked();
@@ -517,6 +557,8 @@ void ImageView::setGraphicsViewMode(bool on)
_graphicsView->setVisible(on);
_scaleMenu->setEnabled(on);
_mouseTracking->setEnabled(!on);
if(on)
{
for(QMultiMap<int, KeypointItem*>::iterator iter=_features.begin(); iter!=_features.end(); ++iter)
@@ -550,11 +592,20 @@ void ImageView::setGraphicsViewMode(bool on)
{
_imageDepthItem->setPixmap(_imageDepth);
}
else
else if(!_imageDepth.isNull())
{
_imageDepthItem = _graphicsView->scene()->addPixmap(_imageDepth);
_imageDepthItem->setVisible(_showImageDepth->isChecked());
}
if(_imageDepthConfidenceItem)
{
_imageDepthConfidenceItem->setPixmap(_imageDepthConfidence);
}
else if(!_imageDepthConfidence.isNull())
{
_imageDepthConfidenceItem = _graphicsView->scene()->addPixmap(_imageDepthConfidence);
_imageDepthConfidenceItem->setVisible(_showImageDepthConfidence->isChecked());
}
this->updateOpacity();
if(_graphicsViewScaled->isChecked())
@@ -790,7 +841,8 @@ void ImageView::paintEvent(QPaintEvent *event)
painter.save();
if(_showImage->isChecked() && !_image.isNull() &&
_showImageDepth->isChecked() && !_imageDepth.isNull())
((_showImageDepth->isChecked() && !_imageDepth.isNull()) ||
(_showImageDepthConfidence->isChecked()&&!_imageDepthConfidence.isNull())))
{
painter.setOpacity(0.5);
}
@@ -804,6 +856,10 @@ void ImageView::paintEvent(QPaintEvent *event)
{
painter.drawPixmap(QPoint(0,0), _imageDepth);
}
else if(_showImageDepthConfidence->isChecked() && !_imageDepthConfidence.isNull())
{
painter.drawPixmap(QPoint(0,0), _imageDepthConfidence);
}
painter.restore();
if(_showFeatures->isChecked())
@@ -966,6 +1022,11 @@ void ImageView::contextMenuEvent(QContextMenuEvent * e)
this->setImageDepthShown(_showImageDepth->isChecked());
Q_EMIT configChanged();
}
else if(action == _showImageDepthConfidence)
{
this->setImageDepthConfidenceShown(_showImageDepthConfidence->isChecked());
Q_EMIT configChanged();
}
else if(action == _showLines)
{
this->setLinesShown(_showLines->isChecked());
@@ -988,8 +1049,9 @@ void ImageView::contextMenuEvent(QContextMenuEvent * e)
}
else if(action == _colorMapBlackToWhite || action == _colorMapWhiteToBlack || action == _colorMapRedToBlue || action == _colorMapBlueToRed)
{
if(!_imageDepthCv.empty())
this->setImageDepth(_imageDepthCv);
if(!_imageDepthCv.empty()) {
this->setImageDepth(_imageDepthCv, _imageDepthConfidenceCv);
}
Q_EMIT configChanged();
}
else if(action == _colorMapMinRange)
@@ -999,8 +1061,9 @@ void ImageView::contextMenuEvent(QContextMenuEvent * e)
if(ok)
{
this->setDepthColorMapRange(value, _depthColorMapMaxRange);
if(!_imageDepthCv.empty())
this->setImageDepth(_imageDepthCv);
if(!_imageDepthCv.empty()) {
this->setImageDepth(_imageDepthCv, _imageDepthConfidenceCv);
}
Q_EMIT configChanged();
}
}
@@ -1011,8 +1074,9 @@ void ImageView::contextMenuEvent(QContextMenuEvent * e)
if(ok)
{
this->setDepthColorMapRange(_depthColorMapMinRange, value);
if(!_imageDepthCv.empty())
this->setImageDepth(_imageDepthCv);
if(!_imageDepthCv.empty()) {
this->setImageDepth(_imageDepthCv, _imageDepthConfidenceCv);
}
Q_EMIT configChanged();
}
}
@@ -1047,7 +1111,7 @@ void ImageView::contextMenuEvent(QContextMenuEvent * e)
}
}
if(action == _showImage || action ==_showImageDepth)
if(action == _showImage || action ==_showImageDepth || action ==_showImageDepthConfidence)
{
this->updateOpacity();
Q_EMIT configChanged();
@@ -1059,17 +1123,16 @@ void ImageView::mouseMoveEvent(QMouseEvent * event)
if(_mouseTracking->isChecked() &&
!_graphicsView->scene()->sceneRect().isNull() &&
!_image.isNull() &&
!_imageDepthCv.empty() &&
(_imageDepthCv.type() == CV_16UC1 || _imageDepthCv.type() == CV_32FC1))
!_imageDepthCv.empty() &&(_imageDepthCv.type() == CV_16UC1 || _imageDepthCv.type() == CV_32FC1))
{
float scale, offsetX, offsetY;
computeScaleOffsets(this->rect(), scale, offsetX, offsetY);
float u = (event->pos().x() - offsetX) / scale;
float v = (event->pos().y() - offsetY) / scale;
float depthScale = 1;
if(_image.width() > _imageDepth.width())
if(_image.width() > _imageDepthCv.cols)
{
depthScale = _imageDepth.width() / _image.width();
depthScale = float(_imageDepthCv.cols) / float(_image.width());
}
int ud = int(u*depthScale);
int vd = int(v*depthScale);
@@ -1077,33 +1140,47 @@ void ImageView::mouseMoveEvent(QMouseEvent * event)
ud < _imageDepthCv.cols &&
vd < _imageDepthCv.rows)
{
float depth = 0;
if(_imageDepthCv.type() == CV_32FC1)
if( _showImageDepthConfidence->isChecked() &&
!_imageDepthConfidenceCv.empty() &&
_imageDepthCv.size() == _imageDepthConfidenceCv.size())
{
depth = _imageDepthCv.at<float>(vd, ud);
unsigned char confidence = _imageDepthConfidenceCv.at<unsigned char>(vd, ud);
#if QT_VERSION >= QT_VERSION_CHECK(6, 0, 0)
QToolTip::showText(event->globalPosition().toPoint(), tr("Confidence=%1%").arg(confidence));
#else
QToolTip::showText(event->globalPos(), tr("Confidence=%1%").arg(confidence));
#endif
}
else
{
depth = float(_imageDepthCv.at<unsigned short>(vd, ud)) / 1000.0f;
}
float depth = 0;
if(_imageDepthCv.type() == CV_32FC1)
{
depth = _imageDepthCv.at<float>(vd, ud);
}
else
{
depth = float(_imageDepthCv.at<unsigned short>(vd, ud)) / 1000.0f;
}
cv::Point3f pt(0,0,0);
if(depth>0 && !_models.empty() && !_pose.isNull())
{
int subImageWidth = _imageDepthCv.cols / _models.size();
int subImageIndex = ud / subImageWidth;
UASSERT(subImageIndex < (int)_models.size());
float x,y,z;
_models[subImageIndex].project(u, v, depth, x, y, z);
pt = cv::Point3f(x,y,z);
pt = util3d::transformPoint(pt, _pose*_models[subImageIndex].localTransform());
}
cv::Point3f pt(0,0,0);
if(depth>0 && !_models.empty() && !_pose.isNull())
{
int subImageWidth = _imageDepthCv.cols / _models.size();
int subImageIndex = ud / subImageWidth;
UASSERT(subImageIndex < (int)_models.size());
float x,y,z;
_models[subImageIndex].project(u, v, depth, x, y, z);
pt = cv::Point3f(x,y,z);
pt = util3d::transformPoint(pt, _pose*_models[subImageIndex].localTransform());
}
#if QT_VERSION >= QT_VERSION_CHECK(6, 0, 0)
QToolTip::showText(event->globalPosition().toPoint(), pt.x!=0?tr("Depth=%1m Map=(%2,%3,%4)").arg(depth).arg(pt.x).arg(pt.y).arg(pt.z):depth > 0?tr("Depth=%1m").arg(depth):tr("Depth=NA"));
QToolTip::showText(event->globalPosition().toPoint(), pt.x!=0?tr("Depth=%1m Map=(%2,%3,%4)").arg(depth).arg(pt.x).arg(pt.y).arg(pt.z):depth > 0?tr("Depth=%1m").arg(depth):tr("Depth=NA"));
#else
QToolTip::showText(event->globalPos(), pt.x!=0?tr("Depth=%1m Map=(%2,%3,%4)").arg(depth).arg(pt.x).arg(pt.y).arg(pt.z):depth > 0?tr("Depth=%1m").arg(depth):tr("Depth=NA"));
QToolTip::showText(event->globalPos(), pt.x!=0?tr("Depth=%1m Map=(%2,%3,%4)").arg(depth).arg(pt.x).arg(pt.y).arg(pt.z):depth > 0?tr("Depth=%1m").arg(depth):tr("Depth=NA"));
#endif
}
}
else
{
@@ -1115,23 +1192,31 @@ void ImageView::mouseMoveEvent(QMouseEvent * event)
void ImageView::updateOpacity()
{
if(_imageItem && _imageDepthItem)
if(_imageItem && (_imageDepthItem || _imageDepthConfidenceItem))
{
if(_imageItem->isVisible() && _imageDepthItem->isVisible())
if(_imageItem->isVisible() &&
((_imageDepthItem && _imageDepthItem->isVisible()) ||
(_imageDepthConfidenceItem && _imageDepthConfidenceItem->isVisible())))
{
QGraphicsOpacityEffect * effect = new QGraphicsOpacityEffect();
effect->setOpacity(0.5);
_imageDepthItem->setGraphicsEffect(effect);
}
else
{
_imageDepthItem->setGraphicsEffect(0);
if(_imageDepthItem) {
QGraphicsOpacityEffect * effect = new QGraphicsOpacityEffect();
effect->setOpacity(0.5);
_imageDepthItem->setGraphicsEffect(effect);
}
if(_imageDepthConfidenceItem) {
QGraphicsOpacityEffect * effect = new QGraphicsOpacityEffect();
effect->setOpacity(0.5);
_imageDepthConfidenceItem->setGraphicsEffect(effect);
}
return;
}
}
else if(_imageDepthItem)
{
if(_imageDepthItem) {
_imageDepthItem->setGraphicsEffect(0);
}
if(_imageDepthConfidenceItem) {
_imageDepthConfidenceItem->setGraphicsEffect(0);
}
}
void ImageView::setFeatures(const std::multimap<int, cv::KeyPoint> & refWords, const cv::Mat & depth, const QColor & color)
@@ -1261,15 +1346,23 @@ void ImageView::setImage(const QImage & image, const std::vector<CameraModel> &
}
}
void ImageView::setImageDepth(const cv::Mat & imageDepth)
void ImageView::setImageDepth(const cv::Mat & imageDepth, const cv::Mat & imageDepthConfidence)
{
_imageDepthCv = imageDepth;
setImageDepth(uCvMat2QImage(_imageDepthCv, true, getDepthColorMap(), _depthColorMapMinRange, _depthColorMapMaxRange));
_imageDepthConfidenceCv = imageDepthConfidence;
setImageDepth(
uCvMat2QImage(_imageDepthCv, true, getDepthColorMap(), _depthColorMapMinRange, _depthColorMapMaxRange),
uCvMat2QImage(_imageDepthConfidenceCv, true, getDepthColorMap()));
}
void ImageView::setImageDepth(const QImage & imageDepth)
void ImageView::setImageDepth(const QImage & imageDepth, const QImage & imageDepthConfidence)
{
_imageDepth = QPixmap::fromImage(imageDepth);
if(!imageDepthConfidence.isNull()) {
_imageDepthConfidence = QPixmap::fromImage(imageDepthConfidence);
} else {
_showImageDepthConfidence->setChecked(false);
}
UASSERT(_imageDepth.width() && _imageDepth.height());
@@ -1279,6 +1372,9 @@ void ImageView::setImageDepth(const QImage & imageDepth)
{
// scale depth to rgb
_imageDepth = _imageDepth.scaled(_image.size());
if(!_imageDepthConfidence.isNull()) {
_imageDepthConfidence = _imageDepthConfidence.scaled(_image.size());
}
}
if(_graphicsView->isVisible())
@@ -1286,11 +1382,18 @@ void ImageView::setImageDepth(const QImage & imageDepth)
if(_imageDepthItem)
{
_imageDepthItem->setPixmap(_imageDepth);
if(_imageDepthConfidenceItem) {
_imageDepthConfidenceItem->setPixmap(_imageDepthConfidence);
}
}
else
{
_imageDepthItem = _graphicsView->scene()->addPixmap(_imageDepth);
_imageDepthItem->setVisible(_showImageDepth->isChecked());
if(!_imageDepthConfidence.isNull()) {
_imageDepthConfidenceItem = _graphicsView->scene()->addPixmap(_imageDepthConfidence);
_imageDepthConfidenceItem->setVisible(_showImageDepthConfidence->isChecked());
}
this->updateOpacity();
}
}
@@ -1471,6 +1574,12 @@ void ImageView::clear()
delete _imageDepthItem;
_imageDepthItem = 0;
}
if(_imageDepthConfidenceItem)
{
_graphicsView->scene()->removeItem(_imageDepthConfidenceItem);
delete _imageDepthConfidenceItem;
_imageDepthConfidenceItem = 0;
}
_imageDepth = QPixmap();
_graphicsView->scene()->setSceneRect(QRectF());
+25 -10
View File
@@ -1225,13 +1225,15 @@ void MainWindow::processOdometry(const rtabmap::OdometryEvent & odom, bool dataI
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud;
pcl::IndicesPtr indices(new std::vector<int>);
cloud = util3d::cloudRGBFromSensorData(*data,
cloud = util3d::cloudRGBFromSensorData(
*data,
_preferencesDialog->getCloudDecimation(1),
_preferencesDialog->getCloudMaxDepth(1),
_preferencesDialog->getCloudMinDepth(1),
indices.get(),
_preferencesDialog->getAllParameters(),
_preferencesDialog->getCloudRoiRatios(1));
_preferencesDialog->getCloudRoiRatios(1),
_preferencesDialog->getCloudConfidenceThr(1));
if(indices->size())
{
cloud = util3d::transformPointCloud(cloud, pose);
@@ -1717,7 +1719,7 @@ void MainWindow::processOdometry(const rtabmap::OdometryEvent & odom, bool dataI
_ui->imageView_odometry->setImage(uCvMat2QImage(data->imageRaw()));
if(_ui->imageView_odometry->isImageDepthShown() && !data->depthOrRightRaw().empty())
{
_ui->imageView_odometry->setImageDepth(data->depthOrRightRaw());
_ui->imageView_odometry->setImageDepth(data->depthOrRightRaw(), data->depthConfidenceRaw());
}
if( odom.info().type == (int)Odometry::kTypeF2M ||
@@ -1908,9 +1910,8 @@ void MainWindow::processOdometry(const rtabmap::OdometryEvent & odom, bool dataI
{
if(!odomT.isNull())
{
rtabmap::Transform diff = odom.info().transformGroundTruth.inverse()*odomT;
_ui->statsToolBox->updateStat("Odometry/TG_error_lin/m", _preferencesDialog->isTimeUsedInFigures()?data->stamp()-_firstStamp:(float)data->id(), diff.getNorm(), _preferencesDialog->isCacheSavedInFigures());
_ui->statsToolBox->updateStat("Odometry/TG_error_ang/deg", _preferencesDialog->isTimeUsedInFigures()?data->stamp()-_firstStamp:(float)data->id(), diff.getAngle()*180.0/CV_PI, _preferencesDialog->isCacheSavedInFigures());
_ui->statsToolBox->updateStat("Odometry/TG_error_lin/m", _preferencesDialog->isTimeUsedInFigures()?data->stamp()-_firstStamp:(float)data->id(), odom.info().transformGroundTruth.getDistance(odomT), _preferencesDialog->isCacheSavedInFigures());
_ui->statsToolBox->updateStat("Odometry/TG_error_ang/deg", _preferencesDialog->isTimeUsedInFigures()?data->stamp()-_firstStamp:(float)data->id(), odom.info().transformGroundTruth.getAngle(odomT)*180.0/CV_PI, _preferencesDialog->isCacheSavedInFigures());
}
odom.info().transformGroundTruth.getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
@@ -2343,7 +2344,7 @@ void MainWindow::processStats(const rtabmap::Statistics & stat)
}
if(!signature.sensorData().depthOrRightRaw().empty())
{
_ui->imageView_source->setImageDepth(signature.sensorData().depthOrRightRaw());
_ui->imageView_source->setImageDepth(signature.sensorData().depthOrRightRaw(), signature.sensorData().depthConfidenceRaw());
}
if(img.isNull() && signature.sensorData().depthOrRightRaw().empty())
{
@@ -2375,7 +2376,7 @@ void MainWindow::processStats(const rtabmap::Statistics & stat)
}
if(!loopSignature.sensorData().depthOrRightRaw().empty())
{
_ui->imageView_loopClosure->setImageDepth(loopSignature.sensorData().depthOrRightRaw());
_ui->imageView_loopClosure->setImageDepth(loopSignature.sensorData().depthOrRightRaw(), loopSignature.sensorData().depthConfidenceRaw());
}
if(_ui->imageView_loopClosure->sceneRect().isNull())
{
@@ -3718,7 +3719,8 @@ std::pair<pcl::PointCloud<pcl::PointXYZRGB>::Ptr, pcl::IndicesPtr> MainWindow::c
_preferencesDialog->getCloudMinDepth(0),
indices.get(),
allParameters,
_preferencesDialog->getCloudRoiRatios(0));
_preferencesDialog->getCloudRoiRatios(0),
_preferencesDialog->getCloudConfidenceThr(0));
// view point
Eigen::Vector3f viewPoint(0.0f,0.0f,0.0f);
@@ -8187,6 +8189,12 @@ void MainWindow::exportImages()
QDir dir;
dir.mkdir(QString("%1/rgb").arg(path));
dir.mkdir(QString("%1/depth").arg(path));
if(!data.depthConfidenceRaw().empty())
{
QDir dir;
dir.mkdir(QString("%1/confidence").arg(path));
}
}
if(data.cameraModels().size() > 1)
@@ -8245,7 +8253,14 @@ void MainWindow::exportImages()
UWARN("Failed saving \"%s\"", QString("%1/rgb/%2.%3").arg(path).arg(id).arg(ext).toStdString().c_str());
if(!cv::imwrite(QString("%1/depth/%2.png").arg(path).arg(id).toStdString(), data.depthRaw().type()==CV_32FC1?util2d::cvtDepthFromFloat(data.depthRaw()):data.depthRaw()))
UWARN("Failed saving \"%s\"", QString("%1/depth/%2.png").arg(path).arg(id).toStdString().c_str());
info = tr("Saved rgb/%1.%2 and depth/%1.png.").arg(id).arg(ext);
if(data.depthConfidenceRaw().empty()) {
info = tr("Saved rgb/%1.%2 and depth/%1.png.").arg(id).arg(ext);
}
else {
if(!cv::imwrite(QString("%1/confidence/%2.png").arg(path).arg(id).toStdString(), data.depthConfidenceRaw()))
UWARN("Failed saving \"%s\"", QString("%1/confidence/%2.png").arg(path).arg(id).toStdString().c_str());
info = tr("Saved rgb/%1.%2, depth/%1.png and confidence/%1.png.").arg(id).arg(ext);
}
}
else if(!data.imageRaw().empty())
{
+13
View File
@@ -551,6 +551,10 @@ PreferencesDialog::PreferencesDialog(QWidget * parent) :
_3dRenderingRoiRatios[0] = _ui->lineEdit_roiRatios;
_3dRenderingRoiRatios[1] = _ui->lineEdit_roiRatios_odom;
_3dRenderingDepthConfidenceThr.resize(2);
_3dRenderingDepthConfidenceThr[0] = _ui->spinBox_depthConf;
_3dRenderingDepthConfidenceThr[1] = _ui->spinBox_depthConf_odom;
_3dRenderingColorScheme.resize(2);
_3dRenderingColorScheme[0] = _ui->spinBox_colorScheme;
_3dRenderingColorScheme[1] = _ui->spinBox_colorScheme_odom;
@@ -622,6 +626,7 @@ PreferencesDialog::PreferencesDialog(QWidget * parent) :
connect(_3dRenderingMaxDepth[i], SIGNAL(valueChanged(double)), this, SLOT(makeObsoleteCloudRenderingPanel()));
connect(_3dRenderingMinDepth[i], SIGNAL(valueChanged(double)), this, SLOT(makeObsoleteCloudRenderingPanel()));
connect(_3dRenderingRoiRatios[i], SIGNAL(textChanged(const QString &)), this, SLOT(makeObsoleteCloudRenderingPanel()));
connect(_3dRenderingDepthConfidenceThr[i], SIGNAL(valueChanged(int)), this, SLOT(makeObsoleteCloudRenderingPanel()));
connect(_3dRenderingShowScans[i], SIGNAL(stateChanged(int)), this, SLOT(makeObsoleteCloudRenderingPanel()));
connect(_3dRenderingShowFeatures[i], SIGNAL(stateChanged(int)), this, SLOT(makeObsoleteCloudRenderingPanel()));
connect(_3dRenderingShowFrustums[i], SIGNAL(stateChanged(int)), this, SLOT(makeObsoleteCloudRenderingPanel()));
@@ -2030,6 +2035,7 @@ void PreferencesDialog::resetSettings(QGroupBox * groupBox)
_3dRenderingMaxDepth[i]->setValue(0.0);
_3dRenderingMinDepth[i]->setValue(0.0);
_3dRenderingRoiRatios[i]->setText("0.0 0.0 0.0 0.0");
_3dRenderingDepthConfidenceThr[i]->setValue(0);
_3dRenderingShowScans[i]->setChecked(true);
_3dRenderingShowFeatures[i]->setChecked(i==0?false:true);
_3dRenderingShowFrustums[i]->setChecked(false);
@@ -2548,6 +2554,7 @@ void PreferencesDialog::readGuiSettings(const QString & filePath)
_3dRenderingMaxDepth[i]->setValue(settings.value(QString("maxDepth%1").arg(i), _3dRenderingMaxDepth[i]->value()).toDouble());
_3dRenderingMinDepth[i]->setValue(settings.value(QString("minDepth%1").arg(i), _3dRenderingMinDepth[i]->value()).toDouble());
_3dRenderingRoiRatios[i]->setText(settings.value(QString("roiRatios%1").arg(i), _3dRenderingRoiRatios[i]->text()).toString());
_3dRenderingDepthConfidenceThr[i]->setValue(settings.value(QString("depthConf%1").arg(i), _3dRenderingDepthConfidenceThr[i]->value()).toInt());
_3dRenderingShowScans[i]->setChecked(settings.value(QString("showScans%1").arg(i), _3dRenderingShowScans[i]->isChecked()).toBool());
_3dRenderingShowFeatures[i]->setChecked(settings.value(QString("showFeatures%1").arg(i), _3dRenderingShowFeatures[i]->isChecked()).toBool());
_3dRenderingShowFrustums[i]->setChecked(settings.value(QString("showFrustums%1").arg(i), _3dRenderingShowFrustums[i]->isChecked()).toBool());
@@ -3156,6 +3163,7 @@ void PreferencesDialog::writeGuiSettings(const QString & filePath) const
settings.setValue(QString("maxDepth%1").arg(i), _3dRenderingMaxDepth[i]->value());
settings.setValue(QString("minDepth%1").arg(i), _3dRenderingMinDepth[i]->value());
settings.setValue(QString("roiRatios%1").arg(i), _3dRenderingRoiRatios[i]->text());
settings.setValue(QString("depthConf%1").arg(i), _3dRenderingDepthConfidenceThr[i]->value());
settings.setValue(QString("showScans%1").arg(i), _3dRenderingShowScans[i]->isChecked());
settings.setValue(QString("showFeatures%1").arg(i), _3dRenderingShowFeatures[i]->isChecked());
settings.setValue(QString("showFrustums%1").arg(i), _3dRenderingShowFrustums[i]->isChecked());
@@ -6105,6 +6113,11 @@ std::vector<float> PreferencesDialog::getCloudRoiRatios(int index) const
}
return roiRatios;
}
unsigned char PreferencesDialog::getCloudConfidenceThr(int index) const
{
UASSERT(index >= 0 && index <= 1);
return (unsigned char)_3dRenderingDepthConfidenceThr[index]->value();
}
int PreferencesDialog::getCloudColorScheme(int index) const
{
UASSERT(index >= 0 && index <= 1);
+261 -203
View File
@@ -61,7 +61,7 @@
<rect>
<x>0</x>
<y>0</y>
<width>419</width>
<width>307</width>
<height>389</height>
</rect>
</property>
@@ -392,7 +392,7 @@
<rect>
<x>0</x>
<y>0</y>
<width>418</width>
<width>306</width>
<height>389</height>
</rect>
</property>
@@ -1643,7 +1643,7 @@
<item>
<widget class="QToolBox" name="toolBox">
<property name="currentIndex">
<number>2</number>
<number>1</number>
</property>
<widget class="QWidget" name="page_3">
<property name="geometry">
@@ -1805,9 +1805,9 @@
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>276</width>
<height>1201</height>
<y>-316</y>
<width>518</width>
<height>1071</height>
</rect>
</property>
<attribute name="label">
@@ -1816,24 +1816,57 @@
<layout class="QVBoxLayout" name="verticalLayout_16">
<item>
<layout class="QGridLayout" name="gridLayout_9" columnstretch="0,0">
<item row="6" column="1">
<widget class="QLabel" name="label_53">
<item row="3" column="1">
<widget class="QLabel" name="label_octomap_empty_3">
<property name="text">
<string>OctoMap</string>
</property>
</widget>
</item>
<item row="15" column="1">
<widget class="QLabel" name="label_57">
<property name="text">
<string>Crop radius when filtering empty space from 2d occupancy grid.</string>
<string>Ground cell color</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="15" column="0">
<item row="14" column="1">
<widget class="QLabel" name="label_61">
<property name="text">
<string>Minimum depth confidence.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="18" column="1">
<widget class="QLabel" name="label_59">
<property name="text">
<string>Show probabilistic occupancy grid in Graph View.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="11" column="0">
<widget class="QCheckBox" name="checkBox_grid_regenerateFromSavedGrid">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>false</bool>
</property>
</widget>
</item>
<item row="0" column="0">
<widget class="QCheckBox" name="checkBox_grid_empty">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>true</bool>
</property>
</widget>
</item>
<item row="17" column="0">
<widget class="QSpinBox" name="spinBox_cropRadius">
<property name="suffix">
<string> pixels</string>
@@ -1843,13 +1876,13 @@
</property>
</widget>
</item>
<item row="16" column="0">
<widget class="QCheckBox" name="checkBox_grid_showProbMap">
<item row="20" column="1">
<widget class="QLabel" name="label_logger_level_2">
<property name="text">
<string/>
<string>For stereo data, show disparity instead of right image in main views.</string>
</property>
<property name="checked">
<bool>false</bool>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
@@ -1869,33 +1902,17 @@
</property>
</widget>
</item>
<item row="10" column="0">
<widget class="QSpinBox" name="spinBox_grid_depth">
<property name="prefix">
<string/>
</property>
<property name="minimum">
<number>0</number>
</property>
<property name="maximum">
<number>16</number>
</property>
<property name="value">
<number>16</number>
</property>
</widget>
</item>
<item row="3" column="0">
<layout class="QHBoxLayout" name="horizontalLayout_9">
<item row="5" column="0">
<layout class="QHBoxLayout" name="horizontalLayout_17">
<item>
<widget class="QToolButton" name="toolButton_groundColor">
<widget class="QToolButton" name="toolButton_frontierColor">
<property name="text">
<string>...</string>
</property>
</widget>
</item>
<item>
<widget class="QLineEdit" name="lineEdit_groundColor">
<widget class="QLineEdit" name="lineEdit_frontierColor">
<property name="readOnly">
<bool>true</bool>
</property>
@@ -1903,18 +1920,18 @@
</item>
</layout>
</item>
<item row="9" column="1">
<widget class="QLabel" name="label_octomap_cubes">
<item row="17" column="1">
<widget class="QLabel" name="label_57">
<property name="text">
<string>OctoMap: Rendering type</string>
<string>Crop radius when filtering empty space from 2d occupancy grid.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="1" column="0">
<widget class="QCheckBox" name="checkBox_grid_frontiers">
<item row="18" column="0">
<widget class="QCheckBox" name="checkBox_grid_showProbMap">
<property name="text">
<string/>
</property>
@@ -1923,10 +1940,20 @@
</property>
</widget>
</item>
<item row="14" column="1">
<widget class="QLabel" name="label_54">
<item row="19" column="1">
<widget class="QLabel" name="label_60">
<property name="text">
<string>Voxel size (for clouds and scans)</string>
<string>Create RGB-D cloud from RGB projection on scan.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="11" column="1">
<widget class="QLabel" name="label_55">
<property name="text">
<string>Local grid: regenerate from saved grid instead of sensors</string>
</property>
<property name="wordWrap">
<bool>true</bool>
@@ -1943,20 +1970,13 @@
</property>
</widget>
</item>
<item row="11" column="0">
<widget class="QCheckBox" name="checkBox_grid_regenerateFromSavedGrid">
<item row="9" column="1">
<widget class="QLabel" name="label_octomap_cubes">
<property name="text">
<string/>
<string>OctoMap: Rendering type</string>
</property>
<property name="checked">
<bool>false</bool>
</property>
</widget>
</item>
<item row="6" column="0">
<widget class="QCheckBox" name="checkBox_octomap">
<property name="text">
<string/>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
@@ -1980,8 +2000,8 @@
</property>
</widget>
</item>
<item row="18" column="0">
<widget class="QCheckBox" name="checkBox_showDisparityInsteadOfRight">
<item row="1" column="0">
<widget class="QCheckBox" name="checkBox_grid_frontiers">
<property name="text">
<string/>
</property>
@@ -1990,105 +2010,7 @@
</property>
</widget>
</item>
<item row="16" column="1">
<widget class="QLabel" name="label_59">
<property name="text">
<string>Show probabilistic occupancy grid in Graph View.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="18" column="1">
<widget class="QLabel" name="label_logger_level_2">
<property name="text">
<string>For stereo data, show disparity instead of right image in main views.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="3" column="1">
<widget class="QLabel" name="label_octomap_empty_3">
<property name="text">
<string>Ground cell color</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="12" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_gainCompensationRadius">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>2</number>
</property>
<property name="minimum">
<double>0.000000000000000</double>
</property>
<property name="maximum">
<double>10.000000000000000</double>
</property>
<property name="singleStep">
<double>0.010000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="4" column="1">
<widget class="QLabel" name="label_octomap_empty_4">
<property name="text">
<string>Empty cell color</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="4" column="0">
<layout class="QHBoxLayout" name="horizontalLayout_12">
<item>
<widget class="QToolButton" name="toolButton_emptyColor">
<property name="text">
<string>...</string>
</property>
</widget>
</item>
<item>
<widget class="QLineEdit" name="lineEdit_emptyColor">
<property name="readOnly">
<bool>true</bool>
</property>
</widget>
</item>
</layout>
</item>
<item row="2" column="0">
<layout class="QHBoxLayout" name="horizontalLayout_11">
<item>
<widget class="QToolButton" name="toolButton_obstacleColor">
<property name="text">
<string>...</string>
</property>
</widget>
</item>
<item>
<widget class="QLineEdit" name="lineEdit_obstacleColor">
<property name="readOnly">
<bool>true</bool>
</property>
</widget>
</item>
</layout>
</item>
<item row="17" column="0">
<item row="19" column="0">
<widget class="QCheckBox" name="checkBox_cameraProjection">
<property name="text">
<string/>
@@ -2098,20 +2020,10 @@
</property>
</widget>
</item>
<item row="0" column="0">
<widget class="QCheckBox" name="checkBox_grid_empty">
<item row="0" column="1">
<widget class="QLabel" name="label_octomap_empty">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>true</bool>
</property>
</widget>
</item>
<item row="11" column="1">
<widget class="QLabel" name="label_55">
<property name="text">
<string>Local grid: regenerate from saved grid instead of sensors</string>
<string>Show empty space</string>
</property>
<property name="wordWrap">
<bool>true</bool>
@@ -2128,20 +2040,17 @@
</property>
</widget>
</item>
<item row="17" column="1">
<widget class="QLabel" name="label_60">
<item row="6" column="1">
<widget class="QLabel" name="label_53">
<property name="text">
<string>Create RGB-D cloud from RGB projection on scan.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
<string>OctoMap</string>
</property>
</widget>
</item>
<item row="0" column="1">
<widget class="QLabel" name="label_octomap_empty">
<item row="16" column="1">
<widget class="QLabel" name="label_54">
<property name="text">
<string>Show empty space</string>
<string>Voxel size (for clouds and scans)</string>
</property>
<property name="wordWrap">
<bool>true</bool>
@@ -2167,6 +2076,64 @@
</item>
</widget>
</item>
<item row="10" column="0">
<widget class="QSpinBox" name="spinBox_grid_depth">
<property name="prefix">
<string/>
</property>
<property name="minimum">
<number>0</number>
</property>
<property name="maximum">
<number>16</number>
</property>
<property name="value">
<number>16</number>
</property>
</widget>
</item>
<item row="12" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_gainCompensationRadius">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>2</number>
</property>
<property name="minimum">
<double>0.000000000000000</double>
</property>
<property name="maximum">
<double>10.000000000000000</double>
</property>
<property name="singleStep">
<double>0.010000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="5" column="1">
<widget class="QLabel" name="label_octomap_frontiers_3">
<property name="text">
<string>Frontier cell color</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="4" column="1">
<widget class="QLabel" name="label_octomap_empty_4">
<property name="text">
<string>Empty cell color</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="13" column="1">
<widget class="QLabel" name="label_56">
<property name="text">
@@ -2177,7 +2144,32 @@
</property>
</widget>
</item>
<item row="14" column="0">
<item row="6" column="0">
<widget class="QCheckBox" name="checkBox_octomap">
<property name="text">
<string/>
</property>
</widget>
</item>
<item row="3" column="0">
<layout class="QHBoxLayout" name="horizontalLayout_9">
<item>
<widget class="QToolButton" name="toolButton_groundColor">
<property name="text">
<string>...</string>
</property>
</widget>
</item>
<item>
<widget class="QLineEdit" name="lineEdit_groundColor">
<property name="readOnly">
<bool>true</bool>
</property>
</widget>
</item>
</layout>
</item>
<item row="16" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_voxelSize">
<property name="suffix">
<string> m</string>
@@ -2199,27 +2191,17 @@
</property>
</widget>
</item>
<item row="5" column="1">
<widget class="QLabel" name="label_octomap_frontiers_3">
<property name="text">
<string>Frontier cell color</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="5" column="0">
<layout class="QHBoxLayout" name="horizontalLayout_17">
<item row="2" column="0">
<layout class="QHBoxLayout" name="horizontalLayout_11">
<item>
<widget class="QToolButton" name="toolButton_frontierColor">
<widget class="QToolButton" name="toolButton_obstacleColor">
<property name="text">
<string>...</string>
</property>
</widget>
</item>
<item>
<widget class="QLineEdit" name="lineEdit_frontierColor">
<widget class="QLineEdit" name="lineEdit_obstacleColor">
<property name="readOnly">
<bool>true</bool>
</property>
@@ -2227,6 +2209,82 @@
</item>
</layout>
</item>
<item row="20" column="0">
<widget class="QCheckBox" name="checkBox_showDisparityInsteadOfRight">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>false</bool>
</property>
</widget>
</item>
<item row="4" column="0">
<layout class="QHBoxLayout" name="horizontalLayout_12">
<item>
<widget class="QToolButton" name="toolButton_emptyColor">
<property name="text">
<string>...</string>
</property>
</widget>
</item>
<item>
<widget class="QLineEdit" name="lineEdit_emptyColor">
<property name="readOnly">
<bool>true</bool>
</property>
</widget>
</item>
</layout>
</item>
<item row="15" column="1">
<widget class="QLabel" name="label_62">
<property name="text">
<string>Depth's edge bleeding filtering error.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="15" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_depthEdgeBleedingError">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>2</number>
</property>
<property name="minimum">
<double>0.000000000000000</double>
</property>
<property name="maximum">
<double>10.000000000000000</double>
</property>
<property name="singleStep">
<double>0.010000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="14" column="0">
<widget class="QSpinBox" name="spinBox_depthConfidence">
<property name="suffix">
<string> %</string>
</property>
<property name="minimum">
<number>0</number>
</property>
<property name="maximum">
<number>100</number>
</property>
<property name="value">
<number>0</number>
</property>
</widget>
</item>
</layout>
</item>
<item>
@@ -2468,7 +2526,7 @@
<rect>
<x>0</x>
<y>0</y>
<width>294</width>
<width>296</width>
<height>272</height>
</rect>
</property>
@@ -2642,8 +2700,8 @@
<rect>
<x>0</x>
<y>0</y>
<width>181</width>
<height>485</height>
<width>428</width>
<height>196</height>
</rect>
</property>
<attribute name="label">
+120 -71
View File
@@ -23,9 +23,9 @@
<property name="geometry">
<rect>
<x>0</x>
<y>-2495</y>
<y>-654</y>
<width>861</width>
<height>6426</height>
<height>6498</height>
</rect>
</property>
<layout class="QVBoxLayout" name="verticalLayout_13">
@@ -710,6 +710,26 @@
<layout class="QVBoxLayout" name="verticalLayout_14">
<item>
<layout class="QGridLayout" name="gridLayout" columnstretch="0,0,1">
<item row="3" column="1">
<widget class="QLineEdit" name="lineEdit_roiRatios"/>
</item>
<item row="2" column="2">
<widget class="QLabel" name="label_133">
<property name="text">
<string>3D cloud minimum depth.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="5" column="1">
<widget class="QSpinBox" name="spinBox_fillDepthHolesError">
<property name="suffix">
<string> %</string>
</property>
</widget>
</item>
<item row="6" column="2">
<widget class="QLabel" name="label_134">
<property name="text">
@@ -720,13 +740,10 @@
</property>
</widget>
</item>
<item row="3" column="2">
<widget class="QLabel" name="label_135">
<property name="text">
<string>ROI ratios [left, right, top, bottom] between 0 and 1. Only generate 3D points for pixels inside the region of interest (RGB image).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
<item row="4" column="1">
<widget class="QSpinBox" name="spinBox_fillDepthHoles">
<property name="suffix">
<string> pixels</string>
</property>
</widget>
</item>
@@ -749,21 +766,18 @@
</property>
</widget>
</item>
<item row="5" column="2">
<widget class="QLabel" name="label_198">
<item row="3" column="2">
<widget class="QLabel" name="label_135">
<property name="text">
<string>Fill depth hole error.</string>
<string>ROI ratios [left, right, top, bottom] between 0 and 1. Only generate 3D points for pixels inside the region of interest (RGB image).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="3" column="1">
<widget class="QLineEdit" name="lineEdit_roiRatios"/>
<item row="6" column="1">
<widget class="QLineEdit" name="lineEdit_distortionModel"/>
</item>
<item row="2" column="1">
<widget class="QDoubleSpinBox" name="doubleSpinBox_minDepth">
@@ -794,39 +808,6 @@
</property>
</widget>
</item>
<item row="8" column="1">
<widget class="QCheckBox" name="checkBox_subtraction">
<property name="text">
<string/>
</property>
</widget>
</item>
<item row="6" column="1">
<widget class="QLineEdit" name="lineEdit_distortionModel"/>
</item>
<item row="8" column="2">
<widget class="QLabel" name="label_137">
<property name="text">
<string>Cloud subtraction. Superposed points from different nodes are filtered.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="4" column="2">
<widget class="QLabel" name="label_197">
<property name="text">
<string>Fill depth hole size (0 means no fill).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="1" column="2">
<widget class="QLabel" name="label_132">
<property name="text">
@@ -850,13 +831,6 @@
</property>
</widget>
</item>
<item row="5" column="1">
<widget class="QSpinBox" name="spinBox_fillDepthHolesError">
<property name="suffix">
<string> %</string>
</property>
</widget>
</item>
<item row="6" column="0">
<widget class="QToolButton" name="toolButton_distortionModel">
<property name="text">
@@ -864,24 +838,57 @@
</property>
</widget>
</item>
<item row="7" column="1">
<widget class="QCheckBox" name="checkBox_bilateral">
<item row="10" column="2">
<widget class="QLabel" name="label_137">
<property name="text">
<string/>
</property>
</widget>
</item>
<item row="2" column="2">
<widget class="QLabel" name="label_133">
<property name="text">
<string>3D cloud minimum depth.</string>
<string>Cloud subtraction. Superposed points from different nodes are filtered.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="7" column="2">
<item row="5" column="2">
<widget class="QLabel" name="label_198">
<property name="text">
<string>Fill depth hole error.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="10" column="1">
<widget class="QCheckBox" name="checkBox_subtraction">
<property name="text">
<string/>
</property>
</widget>
</item>
<item row="8" column="1">
<widget class="QCheckBox" name="checkBox_bilateral">
<property name="text">
<string/>
</property>
</widget>
</item>
<item row="4" column="2">
<widget class="QLabel" name="label_197">
<property name="text">
<string>Fill depth hole size (0 means no fill).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="8" column="2">
<widget class="QLabel" name="label_136">
<property name="text">
<string>Bilateral filtering of the depth image. Reduce noise in depth images.</string>
@@ -891,10 +898,52 @@
</property>
</widget>
</item>
<item row="4" column="1">
<widget class="QSpinBox" name="spinBox_fillDepthHoles">
<item row="7" column="2">
<widget class="QLabel" name="label_147">
<property name="text">
<string>Depth's edge bleeding filter error (0 means disabled). Reduce depth noise around edges.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="7" column="1">
<widget class="QDoubleSpinBox" name="doubleSpinBox_depthEdgeFiltering">
<property name="suffix">
<string> pixels</string>
<string> m</string>
</property>
<property name="decimals">
<number>2</number>
</property>
<property name="maximum">
<double>100.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>4.000000000000000</double>
</property>
</widget>
</item>
<item row="9" column="2">
<widget class="QLabel" name="label_149">
<property name="text">
<string>Minimum depth confidence: 0% is low confidence, 100% is high confidence. Ignored if no depth confidence images were recorded or if set to 0%.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="9" column="1">
<widget class="QSpinBox" name="spinBox_depthConfidence">
<property name="suffix">
<string> %</string>
</property>
<property name="maximum">
<number>100</number>
</property>
</widget>
</item>
+432 -387
View File
@@ -63,7 +63,7 @@
<property name="geometry">
<rect>
<x>0</x>
<y>-659</y>
<y>0</y>
<width>713</width>
<height>4705</height>
</rect>
@@ -95,7 +95,7 @@
<enum>QFrame::Raised</enum>
</property>
<property name="currentIndex">
<number>12</number>
<number>1</number>
</property>
<widget class="QWidget" name="page_22">
<layout class="QVBoxLayout" name="verticalLayout_29" stretch="0,0">
@@ -750,96 +750,6 @@ Show a yellow background when the number of odometry inliers goes under this thr
<layout class="QVBoxLayout" name="verticalLayout_112">
<item>
<layout class="QGridLayout" name="gridLayout_2" columnstretch="0,0,1">
<item row="5" column="0">
<widget class="QLineEdit" name="lineEdit_roiRatios"/>
</item>
<item row="15" column="0">
<widget class="QSpinBox" name="spinBox_ptsize">
<property name="minimum">
<number>1</number>
</property>
<property name="maximum">
<number>64</number>
</property>
<property name="value">
<number>2</number>
</property>
</widget>
</item>
<item row="10" column="2">
<widget class="QLabel" name="label_355">
<property name="text">
<string>Floor filtering height (0=Disabled). This is done in /map frame.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="8" column="2">
<widget class="QLabel" name="label_169">
<property name="text">
<string>Noise filtering min neighbors.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="12" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_normalRadiusSearch">
<property name="singleStep">
<double>0.010000000000000</double>
</property>
</widget>
</item>
<item row="13" column="2">
<widget class="QLabel" name="label_459">
<property name="text">
<string>Default color scheme key.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="13" column="1">
<widget class="QSpinBox" name="spinBox_colorScheme_odom"/>
</item>
<item row="13" column="0">
<widget class="QSpinBox" name="spinBox_colorScheme"/>
</item>
<item row="3" column="1">
<widget class="QDoubleSpinBox" name="doubleSpinBox_maxDepth_odom">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>1</number>
</property>
<property name="maximum">
<double>100.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="5" column="1">
<widget class="QLineEdit" name="lineEdit_roiRatios_odom"/>
</item>
<item row="0" column="0">
<widget class="QLabel" name="label_154">
<property name="text">
@@ -853,157 +763,24 @@ Show a yellow background when the number of odometry inliers goes under this thr
</property>
</widget>
</item>
<item row="0" column="1">
<widget class="QLabel" name="label_137">
<property name="text">
<string>Odometry</string>
</property>
<property name="alignment">
<set>Qt::AlignCenter</set>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="1" column="0">
<widget class="QCheckBox" name="checkBox_showClouds">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>true</bool>
</property>
</widget>
</item>
<item row="1" column="1">
<widget class="QCheckBox" name="checkBox_showOdomClouds">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>true</bool>
</property>
</widget>
</item>
<item row="1" column="2">
<widget class="QLabel" name="label_119">
<property name="text">
<string>Show 3D clouds.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="2" column="1">
<widget class="QSpinBox" name="spinBox_decimation_odom">
<item row="9" column="0">
<widget class="QSpinBox" name="spinBox_noiseMinNeighbors">
<property name="minimum">
<number>-32</number>
</property>
<property name="maximum">
<number>32</number>
</property>
<property name="value">
<number>1</number>
</property>
</widget>
</item>
<item row="2" column="2">
<widget class="QLabel" name="label_108">
<property name="text">
<string>Decimation (1-2-4-8-...). Negative decimation is done from RGB size instead of depth size (if depth is smaller than RGB, it may be interpolated depending of the decimation value).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="14" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_opacity">
<property name="suffix">
<string/>
</property>
<property name="decimals">
<number>2</number>
</property>
<property name="maximum">
<double>1.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
<number>1000</number>
</property>
<property name="value">
<double>1.000000000000000</double>
<number>5</number>
</property>
</widget>
</item>
<item row="14" column="2">
<widget class="QLabel" name="label_155">
<property name="text">
<string>Opacity.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
<item row="5" column="0">
<widget class="QLineEdit" name="lineEdit_roiRatios"/>
</item>
<item row="15" column="2">
<widget class="QLabel" name="label_157">
<property name="text">
<string>Point size (1..64).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="7" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_noiseRadius">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>3</number>
</property>
<property name="maximum">
<double>1.000000000000000</double>
</property>
<property name="singleStep">
<double>0.050000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="2" column="0">
<widget class="QSpinBox" name="spinBox_decimation">
<property name="minimum">
<number>-32</number>
</property>
<property name="maximum">
<number>32</number>
</property>
<property name="value">
<number>1</number>
</property>
</widget>
</item>
<item row="3" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_maxDepth">
<item row="3" column="1">
<widget class="QDoubleSpinBox" name="doubleSpinBox_maxDepth_odom">
<property name="suffix">
<string> m</string>
</property>
@@ -1016,60 +793,6 @@ Show a yellow background when the number of odometry inliers goes under this thr
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>4.000000000000000</double>
</property>
</widget>
</item>
<item row="3" column="2">
<widget class="QLabel" name="label_132">
<property name="text">
<string>Maximum depth (0 means no limit).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="4" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_minDepth">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>1</number>
</property>
<property name="maximum">
<double>100.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="4" column="1">
<widget class="QDoubleSpinBox" name="doubleSpinBox_minDepth_odom">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>1</number>
</property>
<property name="minimum">
<double>0.000000000000000</double>
</property>
<property name="maximum">
<double>100.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
@@ -1088,10 +811,13 @@ Show a yellow background when the number of odometry inliers goes under this thr
</property>
</widget>
</item>
<item row="5" column="2">
<widget class="QLabel" name="label_353">
<item row="14" column="0">
<widget class="QSpinBox" name="spinBox_colorScheme"/>
</item>
<item row="2" column="2">
<widget class="QLabel" name="label_108">
<property name="text">
<string>ROI ratios [left right top bottom] between 0 and 1.</string>
<string>Decimation (1-2-4-8-...). Negative decimation is done from RGB size instead of depth size (if depth is smaller than RGB, it may be interpolated depending of the decimation value).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
@@ -1101,90 +827,23 @@ Show a yellow background when the number of odometry inliers goes under this thr
</property>
</widget>
</item>
<item row="10" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_floorFilterHeight">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>3</number>
</property>
<item row="12" column="0">
<widget class="QSpinBox" name="spinBox_normalKSearch">
<property name="minimum">
<double>-10.000000000000000</double>
</property>
<property name="maximum">
<double>10.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="6" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_voxel">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>3</number>
</property>
<property name="maximum">
<double>1.000000000000000</double>
</property>
<property name="singleStep">
<double>0.010000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="15" column="1">
<widget class="QSpinBox" name="spinBox_ptsize_odom">
<property name="minimum">
<number>1</number>
</property>
<property name="maximum">
<number>64</number>
</property>
<property name="value">
<number>2</number>
</property>
</widget>
</item>
<item row="7" column="2">
<widget class="QLabel" name="label_168">
<property name="text">
<string>Noise filtering radius (0=disabled). Done after voxel filtering.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="8" column="0">
<widget class="QSpinBox" name="spinBox_noiseMinNeighbors">
<property name="minimum">
<number>1</number>
<number>0</number>
</property>
<property name="maximum">
<number>1000</number>
</property>
<property name="value">
<number>5</number>
<number>10</number>
</property>
</widget>
</item>
<item row="9" column="2">
<widget class="QLabel" name="label_338">
<item row="15" column="2">
<widget class="QLabel" name="label_155">
<property name="text">
<string>Ceiling filtering height (0=Disabled). This is done in /map frame.</string>
<string>Opacity.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
@@ -1194,20 +853,46 @@ Show a yellow background when the number of odometry inliers goes under this thr
</property>
</widget>
</item>
<item row="6" column="2">
<widget class="QLabel" name="label_171">
<property name="text">
<string>Voxel filtering size (0=disabled).</string>
<item row="15" column="1">
<widget class="QDoubleSpinBox" name="doubleSpinBox_opacity_odom">
<property name="suffix">
<string/>
</property>
<property name="wordWrap">
<bool>true</bool>
<property name="decimals">
<number>2</number>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
<property name="maximum">
<double>1.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>1.000000000000000</double>
</property>
</widget>
</item>
<item row="9" column="0">
<item row="13" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_normalRadiusSearch">
<property name="singleStep">
<double>0.010000000000000</double>
</property>
</widget>
</item>
<item row="2" column="0">
<widget class="QSpinBox" name="spinBox_decimation">
<property name="minimum">
<number>-32</number>
</property>
<property name="maximum">
<number>32</number>
</property>
<property name="value">
<number>1</number>
</property>
</widget>
</item>
<item row="10" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_ceilingFilterHeight">
<property name="suffix">
<string> m</string>
@@ -1229,23 +914,29 @@ Show a yellow background when the number of odometry inliers goes under this thr
</property>
</widget>
</item>
<item row="11" column="0">
<widget class="QSpinBox" name="spinBox_normalKSearch">
<property name="minimum">
<number>0</number>
<item row="4" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_minDepth">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>1</number>
</property>
<property name="maximum">
<number>1000</number>
<double>100.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<number>10</number>
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="11" column="2">
<widget class="QLabel" name="label_210">
<item row="1" column="2">
<widget class="QLabel" name="label_119">
<property name="text">
<string>Normal K search. If not 0, normals will be computed and added to created cloud for visualization (keys 7, 8 and 9).</string>
<string>Show 3D clouds.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
@@ -1255,7 +946,181 @@ Show a yellow background when the number of odometry inliers goes under this thr
</property>
</widget>
</item>
<item row="12" column="2">
<item row="8" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_noiseRadius">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>3</number>
</property>
<property name="maximum">
<double>1.000000000000000</double>
</property>
<property name="singleStep">
<double>0.050000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="0" column="1">
<widget class="QLabel" name="label_137">
<property name="text">
<string>Odometry</string>
</property>
<property name="alignment">
<set>Qt::AlignCenter</set>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
</widget>
</item>
<item row="1" column="1">
<widget class="QCheckBox" name="checkBox_showOdomClouds">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>true</bool>
</property>
</widget>
</item>
<item row="14" column="1">
<widget class="QSpinBox" name="spinBox_colorScheme_odom"/>
</item>
<item row="5" column="2">
<widget class="QLabel" name="label_353">
<property name="text">
<string>ROI ratios [left right top bottom] between 0 and 1.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="16" column="2">
<widget class="QLabel" name="label_157">
<property name="text">
<string>Point size (1..64).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="16" column="0">
<widget class="QSpinBox" name="spinBox_ptsize">
<property name="minimum">
<number>1</number>
</property>
<property name="maximum">
<number>64</number>
</property>
<property name="value">
<number>2</number>
</property>
</widget>
</item>
<item row="3" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_maxDepth">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>1</number>
</property>
<property name="maximum">
<double>100.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>4.000000000000000</double>
</property>
</widget>
</item>
<item row="7" column="2">
<widget class="QLabel" name="label_171">
<property name="text">
<string>Voxel filtering size (0=disabled).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="11" column="2">
<widget class="QLabel" name="label_355">
<property name="text">
<string>Floor filtering height (0=Disabled). This is done in /map frame.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="10" column="2">
<widget class="QLabel" name="label_338">
<property name="text">
<string>Ceiling filtering height (0=Disabled). This is done in /map frame.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="11" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_floorFilterHeight">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>3</number>
</property>
<property name="minimum">
<double>-10.000000000000000</double>
</property>
<property name="maximum">
<double>10.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="1" column="0">
<widget class="QCheckBox" name="checkBox_showClouds">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>true</bool>
</property>
</widget>
</item>
<item row="13" column="2">
<widget class="QLabel" name="label_427">
<property name="text">
<string>Normal radius search. If not 0, normals will be computed and added to created cloud for visualization (keys 7, 8 and 9).</string>
@@ -1268,8 +1133,117 @@ Show a yellow background when the number of odometry inliers goes under this thr
</property>
</widget>
</item>
<item row="14" column="1">
<widget class="QDoubleSpinBox" name="doubleSpinBox_opacity_odom">
<item row="2" column="1">
<widget class="QSpinBox" name="spinBox_decimation_odom">
<property name="minimum">
<number>-32</number>
</property>
<property name="maximum">
<number>32</number>
</property>
<property name="value">
<number>1</number>
</property>
</widget>
</item>
<item row="4" column="1">
<widget class="QDoubleSpinBox" name="doubleSpinBox_minDepth_odom">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>1</number>
</property>
<property name="minimum">
<double>0.000000000000000</double>
</property>
<property name="maximum">
<double>100.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="7" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_voxel">
<property name="suffix">
<string> m</string>
</property>
<property name="decimals">
<number>3</number>
</property>
<property name="maximum">
<double>1.000000000000000</double>
</property>
<property name="singleStep">
<double>0.010000000000000</double>
</property>
<property name="value">
<double>0.000000000000000</double>
</property>
</widget>
</item>
<item row="14" column="2">
<widget class="QLabel" name="label_459">
<property name="text">
<string>Default color scheme key.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="12" column="2">
<widget class="QLabel" name="label_210">
<property name="text">
<string>Normal K search. If not 0, normals will be computed and added to created cloud for visualization (keys 7, 8 and 9).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="3" column="2">
<widget class="QLabel" name="label_132">
<property name="text">
<string>Maximum depth (0 means no limit).</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="5" column="1">
<widget class="QLineEdit" name="lineEdit_roiRatios_odom"/>
</item>
<item row="8" column="2">
<widget class="QLabel" name="label_168">
<property name="text">
<string>Noise filtering radius (0=disabled). Done after voxel filtering.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="15" column="0">
<widget class="QDoubleSpinBox" name="doubleSpinBox_opacity">
<property name="suffix">
<string/>
</property>
@@ -1287,6 +1261,77 @@ Show a yellow background when the number of odometry inliers goes under this thr
</property>
</widget>
</item>
<item row="16" column="1">
<widget class="QSpinBox" name="spinBox_ptsize_odom">
<property name="minimum">
<number>1</number>
</property>
<property name="maximum">
<number>64</number>
</property>
<property name="value">
<number>2</number>
</property>
</widget>
</item>
<item row="9" column="2">
<widget class="QLabel" name="label_169">
<property name="text">
<string>Noise filtering min neighbors.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="6" column="2">
<widget class="QLabel" name="label_298">
<property name="text">
<string>Minimum depth confidence.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="6" column="1">
<widget class="QSpinBox" name="spinBox_depthConf_odom">
<property name="suffix">
<string> %</string>
</property>
<property name="minimum">
<number>0</number>
</property>
<property name="maximum">
<number>100</number>
</property>
<property name="value">
<number>0</number>
</property>
</widget>
</item>
<item row="6" column="0">
<widget class="QSpinBox" name="spinBox_depthConf">
<property name="suffix">
<string> %</string>
</property>
<property name="minimum">
<number>0</number>
</property>
<property name="maximum">
<number>100</number>
</property>
<property name="value">
<number>0</number>
</property>
</widget>
</item>
</layout>
</item>
<item>
@@ -27177,13 +27222,13 @@ Lower the ratio -&gt; higher the precision.</string>
<item>
<widget class="QGroupBox" name="groupBox_detector_superpoint_torch2">
<property name="title">
<string>SupertPoint Torch</string>
<string>SuperPoint Torch</string>
</property>
<layout class="QVBoxLayout" name="verticalLayout_147">
<item>
<widget class="QLabel" name="label_575">
<property name="text">
<string>&lt;html&gt;&lt;head/&gt;&lt;body&gt;&lt;p&gt;SupertPoint c++ implementation from &lt;a href=&quot;https://github.com/KinglittleQ/SuperPoint_SLAM&quot;&gt;&lt;span style=&quot; text-decoration: underline; color:#0000ff;&quot;&gt;SuperPoint_SLAM&lt;/span&gt;&lt;/a&gt; project based on pytorch. A &lt;span style=&quot; font-weight:600;&quot;&gt;superpoint.pt&lt;/span&gt; weights file can be downloaded from its Git. It should be the same weights file &lt;a href=&quot;https://pytorch.org/tutorials/advanced/cpp_export.html&quot;&gt;&lt;span style=&quot; text-decoration: underline; color:#0000ff;&quot;&gt;converted&lt;/span&gt;&lt;/a&gt; from &lt;span style=&quot; font-weight:600;&quot;&gt;superpoint.pth&lt;/span&gt; of the &lt;a href=&quot;https://github.com/magicleap/SuperPointPretrainedNetwork&quot;&gt;&lt;span style=&quot; text-decoration: underline; color:#0000ff;&quot;&gt;SuperPointPretrainedNetwork&lt;/span&gt;&lt;/a&gt; project.&lt;/p&gt;&lt;/body&gt;&lt;/html&gt;</string>
<string>&lt;html&gt;&lt;head/&gt;&lt;body&gt;&lt;p&gt;SuperPoint c++ implementation from &lt;a href=&quot;https://github.com/KinglittleQ/SuperPoint_SLAM&quot;&gt;&lt;span style=&quot; text-decoration: underline; color:#0000ff;&quot;&gt;SuperPoint_SLAM&lt;/span&gt;&lt;/a&gt; project based on pytorch. A &lt;span style=&quot; font-weight:600;&quot;&gt;superpoint.pt&lt;/span&gt; weights file can be downloaded from its Git. It should be the same weights file &lt;a href=&quot;https://pytorch.org/tutorials/advanced/cpp_export.html&quot;&gt;&lt;span style=&quot; text-decoration: underline; color:#0000ff;&quot;&gt;converted&lt;/span&gt;&lt;/a&gt; from &lt;span style=&quot; font-weight:600;&quot;&gt;superpoint.pth&lt;/span&gt; of the &lt;a href=&quot;https://github.com/magicleap/SuperPointPretrainedNetwork&quot;&gt;&lt;span style=&quot; text-decoration: underline; color:#0000ff;&quot;&gt;SuperPointPretrainedNetwork&lt;/span&gt;&lt;/a&gt; project.&lt;/p&gt;&lt;/body&gt;&lt;/html&gt;</string>
</property>
<property name="wordWrap">
<bool>true</bool>
+1 -1
View File
@@ -1,7 +1,7 @@
<?xml version="1.0"?>
<package format="2">
<name>rtabmap</name>
<version>0.21.14</version>
<version>0.22.0</version>
<description>RTAB-Map's standalone library. RTAB-Map is a RGB-D SLAM approach with real-time constraints.</description>
<maintainer email="[email protected]">Mathieu Labbe</maintainer>
<author>Mathieu Labbe</author>
+50 -3
View File
@@ -153,6 +153,8 @@ void showUsage()
" --min_range # Minimum range of the created clouds (default 0 m).\n"
" --max_range # Maximum range of the created clouds (default 4 m, 0 m with --scan).\n"
" --decimation # Depth image decimation before creating the clouds (default 4, 1 with --scan).\n"
" --edge_bleeding_error # Depth's edge bleeding filtering error (default 0 m).\n"
" --depth_confidence # Depth confidence threshold (should be in [0,100]) (default 0=Low).\n"
" --voxel # Voxel size of the created clouds (default 0.01 m, 0 m with --scan).\n"
" --ground_normals_up # Flip ground normals up if close to -z axis (default 0, 0=disabled, value should be >0 and <1, typical 0.9).\n"
" --noise_radius # Noise filtering search radius (default 0, 0=disabled).\n"
@@ -214,6 +216,8 @@ int main(int argc, char * argv[])
float poissonSize = 0.03;
int maxPolygons = 300000;
int decimation = -1;
float depthEdgeBleedingFilterError = 0.0f;
unsigned char depthConfidenceThr = 0;
float minRange = 0.0f;
float maxRange = -1.0f;
float voxelSize = -1.0f;
@@ -773,6 +777,30 @@ int main(int argc, char * argv[])
showUsage();
}
}
else if(std::strcmp(argv[i], "--edge_bleeding_error") == 0)
{
++i;
if(i<argc-1)
{
depthEdgeBleedingFilterError = uStr2Float(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--depth_confidence") == 0)
{
++i;
if(i<argc-1)
{
depthConfidenceThr = (unsigned char)uStr2Int(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--voxel") == 0)
{
++i;
@@ -1432,6 +1460,7 @@ int main(int argc, char * argv[])
bool densityFiltered = !densityPoses.empty() && densityPoses.find(iter->first) == densityPoses.end();
cv::Mat rgb;
cv::Mat depth;
cv::Mat confidence;
pcl::IndicesPtr indices(new std::vector<int>);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud;
pcl::PointCloud<pcl::PointXYZI>::Ptr cloudI;
@@ -1440,7 +1469,7 @@ int main(int argc, char * argv[])
if(!densityFiltered && cloudFromScan && (exportCloud || exportMesh))
{
LaserScan scan;
data.uncompressData(exportImages?&rgb:0, (texture||exportImages)&&!data.depthOrRightCompressed().empty()?&depth:0, &scan);
data.uncompressData(exportImages?&rgb:0, (texture||exportImages)&&!data.depthOrRightCompressed().empty()?&depth:0, &scan, 0, 0, 0, 0, exportImages?&confidence:0);
if(scan.empty())
{
printf("Node %d doesn't have scan data, empty cloud is created.\n", iter->first);
@@ -1468,7 +1497,7 @@ int main(int argc, char * argv[])
}
else
{
data.uncompressData(&rgb, &depth);
data.uncompressData(&rgb, &depth, 0, 0, 0, 0, 0, &confidence);
if(!densityFiltered && (exportCloud || exportMesh))
{
if(depth.empty())
@@ -1476,12 +1505,20 @@ int main(int argc, char * argv[])
printf("Node %d doesn't have depth or stereo data, empty cloud is "
"created (if you want to create point cloud from scan, use --scan option).\n", iter->first);
}
else if(!data.depthRaw().empty() && depthEdgeBleedingFilterError>0.0f)
{
util2d::depthBleedingFiltering(depth, depthEdgeBleedingFilterError);
data.setRGBDImage(data.imageRaw(), depth, data.depthConfidenceRaw(), data.cameraModels());
}
cloud = util3d::cloudRGBFromSensorData(
data,
decimation, // image decimation before creating the clouds
maxRange, // maximum depth of the cloud
minRange,
indices.get());
indices.get(),
ParametersMap(),
std::vector<float>(),
depthConfidenceThr);
if(noiseRadius>0.0f && noiseMinNeighbors>0)
{
indices = util3d::radiusFiltering(cloud, indices, noiseRadius, noiseMinNeighbors);
@@ -1525,6 +1562,16 @@ int main(int argc, char * argv[])
outputPath=dir+"/"+(exportImagesId?uNumber2Str(iter->first):uFormat("%f", stamp))+ext;
cv::imwrite(outputPath, depthExported);
}
if(!confidence.empty())
{
dir = outputDirectory+"/"+baseName+"_confidence";
if(!UDirectory::exists(dir)) {
UDirectory::makeDir(dir);
}
outputPath=dir+"/"+(exportImagesId?uNumber2Str(iter->first):uFormat("%f", stamp))+".png";
cv::imwrite(outputPath, confidence);
}
// save calibration per image (calibration can change over time, e.g. camera has auto focus)
for(size_t i=0; i<models.size(); ++i)
+2 -3
View File
@@ -1255,9 +1255,8 @@ int main(int argc, char * argv[])
t.r11(), t.r12(), t.r13(), t.x()*bestScale,
t.r21(), t.r22(), t.r23(), t.y()*bestScale,
t.r31(), t.r32(), t.r33(), t.z()*bestScale);
Transform diff = gtLink.inverse()*scaledLink;
sumDist += diff.getNorm();
sumAngle += diff.getAngle();
sumDist += gtLink.getDistance(scaledLink);
sumAngle += gtLink.getAngle(scaledLink);
++count;
}
}
+1 -1
View File
@@ -1289,7 +1289,7 @@ int main(int argc, char * argv[])
!info.odomPose.isNull())
{
float distance = odomPose.getDistance(info.odomPose);
float angle = (odomPose.inverse()*info.odomPose).getAngle();
float angle = odomPose.getAngle(info.odomPose);
odomDistances.push_back(distance);
if(distance < linearUpdate && angle <= angularUpdate)
{