mirror of
https://github.com/introlab/rtabmap.git
synced 2026-09-01 17:10:26 +08:00
Added util3d::laserScanFomrDepthImage() and some refactoring
This commit is contained in:
@@ -117,6 +117,25 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudRGBFromSensorData(
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float voxelSize = 0.0f,
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int samples = 0);
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pcl::PointCloud<pcl::PointXYZ> RTABMAP_EXP laserScanFromDepthImage(
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const cv::Mat & depthImage,
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float fx,
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float fy,
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float cx,
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float cy,
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float maxDepth = 0,
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const Transform & localTransform = Transform::getIdentity());
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cv::Mat RTABMAP_EXP cvtDepthFromFloat(const cv::Mat & depth32F);
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cv::Mat RTABMAP_EXP cvtDepthToFloat(const cv::Mat & depth16U);
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cv::Mat RTABMAP_EXP laserScanFromPointCloud(const pcl::PointCloud<pcl::PointXYZ> & cloud);
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pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP laserScanToPointCloud(const cv::Mat & laserScan);
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pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP cvMat2Cloud(
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const cv::Mat & matrix,
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const Transform & tranform = Transform::getIdentity());
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pcl::PointXYZ RTABMAP_EXP projectDisparityTo3D(
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const cv::Point2f & pt,
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float disparity,
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@@ -1,57 +0,0 @@
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/*
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Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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||||
modification, are permitted provided that the following conditions are met:
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||||
* Redistributions of source code must retain the above copyright
|
||||
notice, this list of conditions and the following disclaimer.
|
||||
* Redistributions in binary form must reproduce the above copyright
|
||||
notice, this list of conditions and the following disclaimer in the
|
||||
documentation and/or other materials provided with the distribution.
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||||
* Neither the name of the Universite de Sherbrooke nor the
|
||||
names of its contributors may be used to endorse or promote products
|
||||
derived from this software without specific prior written permission.
|
||||
|
||||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
||||
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
||||
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
|
||||
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
|
||||
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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||||
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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||||
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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||||
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#ifndef UTIL3D_CONVERSIONS_H_
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#define UTIL3D_CONVERSIONS_H_
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#include <rtabmap/core/RtabmapExp.h>
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#include <pcl/point_cloud.h>
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#include <pcl/point_types.h>
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#include <opencv2/core/core.hpp>
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#include <rtabmap/core/Transform.h>
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namespace rtabmap
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{
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namespace util3d
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{
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cv::Mat RTABMAP_EXP cvtDepthFromFloat(const cv::Mat & depth32F);
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cv::Mat RTABMAP_EXP cvtDepthToFloat(const cv::Mat & depth16U);
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cv::Mat RTABMAP_EXP laserScanFromPointCloud(const pcl::PointCloud<pcl::PointXYZ> & cloud);
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pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP laserScanToPointCloud(const cv::Mat & laserScan);
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pcl::PointCloud<pcl::PointXYZ>::Ptr RTABMAP_EXP cvMat2Cloud(
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const cv::Mat & matrix,
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const Transform & tranform = Transform::getIdentity());
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} // namespace util3d
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} // namespace rtabmap
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#endif /* UTIL3D_CONVERSIONS_H_ */
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@@ -35,7 +35,6 @@ SET(SRC_FILES
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util3d_surface.cpp
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util3d_features.cpp
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util3d_correspondences.cpp
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util3d_conversions.cpp
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SensorData.cpp
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Graph.cpp
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@@ -41,7 +41,6 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#include "VisualWord.h"
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#include "rtabmap/core/Features2d.h"
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#include "DBDriverSqlite3.h"
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#include "rtabmap/core/util3d_conversions.h"
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#include "rtabmap/core/util3d_features.h"
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#include "rtabmap/core/util3d_filtering.h"
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#include "rtabmap/core/util3d_correspondences.h"
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@@ -95,13 +95,8 @@ Transform Odometry::process(const SensorData & data, OdometryInfo * info)
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UASSERT(!data.depthOrRightRaw().empty());
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}
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if(data.cameraModels().size() > 1)
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{
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UERROR("Odometry doesn't support multi-camera yet.");
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return Transform();
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}
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else if(!data.stereoCameraModel().isValid() &&
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(data.cameraModels().size() == 0 || !data.cameraModels()[0].isValid()))
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if(!data.stereoCameraModel().isValid() &&
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(data.cameraModels().size() == 0 || !data.cameraModels()[0].isValid()))
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{
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UERROR("Rectified images required! Calibrate your camera.");
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return Transform();
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@@ -1413,17 +1413,21 @@ bool Rtabmap::process(
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{
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if(immunizedLocally >= maxLocalLocationsImmunized)
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{
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UWARN("Could not immunize the whole local path (%d) between "
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"%d and %d (max location immunized=%d). You may want "
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"to increase RGBD/LocalImmunizationRatio (current=%f (%d of WM=%d)) "
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"to be able to immunize longer paths.",
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(int)path.size(),
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nearestId,
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signature->id(),
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maxLocalLocationsImmunized,
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_localImmunizationRatio,
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maxLocalLocationsImmunized,
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(int)_memory->getWorkingMem().size());
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// set 20 to avoid this warning when starting mapping
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if(maxLocalLocationsImmunized > 20)
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{
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UWARN("Could not immunize the whole local path (%d) between "
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"%d and %d (max location immunized=%d). You may want "
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"to increase RGBD/LocalImmunizationRatio (current=%f (%d of WM=%d)) "
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"to be able to immunize longer paths.",
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(int)path.size(),
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nearestId,
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signature->id(),
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maxLocalLocationsImmunized,
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_localImmunizationRatio,
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maxLocalLocationsImmunized,
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(int)_memory->getWorkingMem().size());
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}
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break;
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}
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else if(!_memory->isInSTM(iter->first))
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@@ -32,6 +32,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#include <rtabmap/utilite/ULogger.h>
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#include <rtabmap/utilite/UMath.h>
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#include <pcl/io/pcd_io.h>
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#include <pcl/common/transforms.h>
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#include <opencv2/imgproc/imgproc.hpp>
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namespace rtabmap
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@@ -723,6 +724,143 @@ pcl::PointCloud<pcl::PointXYZRGB>::Ptr RTABMAP_EXP cloudRGBFromSensorData(
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return cloud;
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}
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pcl::PointCloud<pcl::PointXYZ> laserScanFromDepthImage(
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const cv::Mat & depthImage,
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float fx,
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float fy,
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float cx,
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float cy,
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float maxDepth,
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const Transform & localTransform)
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{
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UASSERT(depthImage.type() == CV_16UC1 || depthImage.type() == CV_32FC1);
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UASSERT(!localTransform.isNull());
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pcl::PointCloud<pcl::PointXYZ> scan;
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int middle = depthImage.rows/2;
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if(middle)
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{
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scan.resize(depthImage.cols);
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int oi = 0;
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for(int i=0; i<depthImage.cols; ++i)
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{
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pcl::PointXYZ pt = util3d::projectDepthTo3D(depthImage, i, middle, cx, cy, fx, fy, false);
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if(pcl::isFinite(pt) && (maxDepth == 0 || pt.z < maxDepth))
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{
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if(!localTransform.isIdentity())
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{
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pt = util3d::transformPoint(pt, localTransform);
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}
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scan[oi++] = pt;
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}
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}
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scan.resize(oi);
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}
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return scan;
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}
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cv::Mat cvtDepthFromFloat(const cv::Mat & depth32F)
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{
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UASSERT(depth32F.empty() || depth32F.type() == CV_32FC1);
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cv::Mat depth16U;
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if(!depth32F.empty())
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{
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depth16U = cv::Mat(depth32F.rows, depth32F.cols, CV_16UC1);
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for(int i=0; i<depth32F.rows; ++i)
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{
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for(int j=0; j<depth32F.cols; ++j)
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{
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float depth = (depth32F.at<float>(i,j)*1000.0f);
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unsigned short depthMM = 0;
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if(depth <= (float)USHRT_MAX)
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{
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depthMM = (unsigned short)depth;
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}
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depth16U.at<unsigned short>(i, j) = depthMM;
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}
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}
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}
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return depth16U;
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}
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cv::Mat cvtDepthToFloat(const cv::Mat & depth16U)
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{
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UASSERT(depth16U.empty() || depth16U.type() == CV_16UC1);
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cv::Mat depth32F;
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if(!depth16U.empty())
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{
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depth32F = cv::Mat(depth16U.rows, depth16U.cols, CV_32FC1);
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for(int i=0; i<depth16U.rows; ++i)
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{
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for(int j=0; j<depth16U.cols; ++j)
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{
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float depth = float(depth16U.at<unsigned short>(i,j))/1000.0f;
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depth32F.at<float>(i, j) = depth;
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}
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}
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}
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return depth32F;
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}
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cv::Mat laserScanFromPointCloud(const pcl::PointCloud<pcl::PointXYZ> & cloud)
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{
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cv::Mat laserScan(1, (int)cloud.size(), CV_32FC2);
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for(unsigned int i=0; i<cloud.size(); ++i)
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{
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laserScan.at<cv::Vec2f>(i)[0] = cloud.at(i).x;
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laserScan.at<cv::Vec2f>(i)[1] = cloud.at(i).y;
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}
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return laserScan;
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}
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pcl::PointCloud<pcl::PointXYZ>::Ptr laserScanToPointCloud(const cv::Mat & laserScan)
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{
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UASSERT(laserScan.empty() || laserScan.type() == CV_32FC2);
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pcl::PointCloud<pcl::PointXYZ>::Ptr output(new pcl::PointCloud<pcl::PointXYZ>);
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output->resize(laserScan.cols);
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for(int i=0; i<laserScan.cols; ++i)
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{
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output->at(i).x = laserScan.at<cv::Vec2f>(i)[0];
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output->at(i).y = laserScan.at<cv::Vec2f>(i)[1];
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}
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return output;
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}
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pcl::PointCloud<pcl::PointXYZ>::Ptr cvMat2Cloud(
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const cv::Mat & matrix,
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const Transform & tranform)
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{
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UASSERT(matrix.type() == CV_32FC2 || matrix.type() == CV_32FC3);
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UASSERT(matrix.rows == 1);
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Eigen::Affine3f t = tranform.toEigen3f();
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pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
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cloud->resize(matrix.cols);
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if(matrix.channels() == 2)
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{
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for(int i=0; i<matrix.cols; ++i)
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{
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cloud->at(i).x = matrix.at<cv::Vec2f>(0,i)[0];
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cloud->at(i).y = matrix.at<cv::Vec2f>(0,i)[1];
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cloud->at(i).z = 0.0f;
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cloud->at(i) = pcl::transformPoint(cloud->at(i), t);
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}
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}
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else // channels=3
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{
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for(int i=0; i<matrix.cols; ++i)
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{
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cloud->at(i).x = matrix.at<cv::Vec3f>(0,i)[0];
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cloud->at(i).y = matrix.at<cv::Vec3f>(0,i)[1];
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cloud->at(i).z = matrix.at<cv::Vec3f>(0,i)[2];
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cloud->at(i) = pcl::transformPoint(cloud->at(i), t);
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}
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}
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return cloud;
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}
|
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// inspired from ROS image_geometry/src/stereo_camera_model.cpp
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pcl::PointXYZ projectDisparityTo3D(
|
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const cv::Point2f & pt,
|
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|
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@@ -1,142 +0,0 @@
|
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/*
|
||||
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
|
||||
All rights reserved.
|
||||
|
||||
Redistribution and use in source and binary forms, with or without
|
||||
modification, are permitted provided that the following conditions are met:
|
||||
* Redistributions of source code must retain the above copyright
|
||||
notice, this list of conditions and the following disclaimer.
|
||||
* Redistributions in binary form must reproduce the above copyright
|
||||
notice, this list of conditions and the following disclaimer in the
|
||||
documentation and/or other materials provided with the distribution.
|
||||
* Neither the name of the Universite de Sherbrooke nor the
|
||||
names of its contributors may be used to endorse or promote products
|
||||
derived from this software without specific prior written permission.
|
||||
|
||||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
||||
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
||||
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
|
||||
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
|
||||
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
|
||||
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
|
||||
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
|
||||
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*/
|
||||
|
||||
#include "rtabmap/core/util3d_conversions.h"
|
||||
|
||||
#include "rtabmap/utilite/ULogger.h"
|
||||
#include <pcl/common/transforms.h>
|
||||
|
||||
namespace rtabmap
|
||||
{
|
||||
|
||||
namespace util3d
|
||||
{
|
||||
|
||||
cv::Mat cvtDepthFromFloat(const cv::Mat & depth32F)
|
||||
{
|
||||
UASSERT(depth32F.empty() || depth32F.type() == CV_32FC1);
|
||||
cv::Mat depth16U;
|
||||
if(!depth32F.empty())
|
||||
{
|
||||
depth16U = cv::Mat(depth32F.rows, depth32F.cols, CV_16UC1);
|
||||
for(int i=0; i<depth32F.rows; ++i)
|
||||
{
|
||||
for(int j=0; j<depth32F.cols; ++j)
|
||||
{
|
||||
float depth = (depth32F.at<float>(i,j)*1000.0f);
|
||||
unsigned short depthMM = 0;
|
||||
if(depth <= (float)USHRT_MAX)
|
||||
{
|
||||
depthMM = (unsigned short)depth;
|
||||
}
|
||||
depth16U.at<unsigned short>(i, j) = depthMM;
|
||||
}
|
||||
}
|
||||
}
|
||||
return depth16U;
|
||||
}
|
||||
|
||||
cv::Mat cvtDepthToFloat(const cv::Mat & depth16U)
|
||||
{
|
||||
UASSERT(depth16U.empty() || depth16U.type() == CV_16UC1);
|
||||
cv::Mat depth32F;
|
||||
if(!depth16U.empty())
|
||||
{
|
||||
depth32F = cv::Mat(depth16U.rows, depth16U.cols, CV_32FC1);
|
||||
for(int i=0; i<depth16U.rows; ++i)
|
||||
{
|
||||
for(int j=0; j<depth16U.cols; ++j)
|
||||
{
|
||||
float depth = float(depth16U.at<unsigned short>(i,j))/1000.0f;
|
||||
depth32F.at<float>(i, j) = depth;
|
||||
}
|
||||
}
|
||||
}
|
||||
return depth32F;
|
||||
}
|
||||
|
||||
cv::Mat laserScanFromPointCloud(const pcl::PointCloud<pcl::PointXYZ> & cloud)
|
||||
{
|
||||
cv::Mat laserScan(1, (int)cloud.size(), CV_32FC2);
|
||||
for(unsigned int i=0; i<cloud.size(); ++i)
|
||||
{
|
||||
laserScan.at<cv::Vec2f>(i)[0] = cloud.at(i).x;
|
||||
laserScan.at<cv::Vec2f>(i)[1] = cloud.at(i).y;
|
||||
}
|
||||
return laserScan;
|
||||
}
|
||||
|
||||
pcl::PointCloud<pcl::PointXYZ>::Ptr laserScanToPointCloud(const cv::Mat & laserScan)
|
||||
{
|
||||
UASSERT(laserScan.empty() || laserScan.type() == CV_32FC2);
|
||||
|
||||
pcl::PointCloud<pcl::PointXYZ>::Ptr output(new pcl::PointCloud<pcl::PointXYZ>);
|
||||
output->resize(laserScan.cols);
|
||||
for(int i=0; i<laserScan.cols; ++i)
|
||||
{
|
||||
output->at(i).x = laserScan.at<cv::Vec2f>(i)[0];
|
||||
output->at(i).y = laserScan.at<cv::Vec2f>(i)[1];
|
||||
}
|
||||
return output;
|
||||
}
|
||||
|
||||
pcl::PointCloud<pcl::PointXYZ>::Ptr cvMat2Cloud(
|
||||
const cv::Mat & matrix,
|
||||
const Transform & tranform)
|
||||
{
|
||||
UASSERT(matrix.type() == CV_32FC2 || matrix.type() == CV_32FC3);
|
||||
UASSERT(matrix.rows == 1);
|
||||
|
||||
Eigen::Affine3f t = tranform.toEigen3f();
|
||||
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
|
||||
cloud->resize(matrix.cols);
|
||||
if(matrix.channels() == 2)
|
||||
{
|
||||
for(int i=0; i<matrix.cols; ++i)
|
||||
{
|
||||
cloud->at(i).x = matrix.at<cv::Vec2f>(0,i)[0];
|
||||
cloud->at(i).y = matrix.at<cv::Vec2f>(0,i)[1];
|
||||
cloud->at(i).z = 0.0f;
|
||||
cloud->at(i) = pcl::transformPoint(cloud->at(i), t);
|
||||
}
|
||||
}
|
||||
else // channels=3
|
||||
{
|
||||
for(int i=0; i<matrix.cols; ++i)
|
||||
{
|
||||
cloud->at(i).x = matrix.at<cv::Vec3f>(0,i)[0];
|
||||
cloud->at(i).y = matrix.at<cv::Vec3f>(0,i)[1];
|
||||
cloud->at(i).z = matrix.at<cv::Vec3f>(0,i)[2];
|
||||
cloud->at(i) = pcl::transformPoint(cloud->at(i), t);
|
||||
}
|
||||
}
|
||||
return cloud;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
@@ -82,8 +82,9 @@ pcl::PointCloud<pcl::PointXYZ>::Ptr generateKeypoints3DDepth(
|
||||
cameraModels.at(cameraIndex).fy(),
|
||||
true);
|
||||
|
||||
if(!cameraModels.at(cameraIndex).localTransform().isNull() &&
|
||||
!cameraModels.at(cameraIndex).localTransform().isIdentity())
|
||||
if(pcl::isFinite(pt) &&
|
||||
!cameraModels.at(cameraIndex).localTransform().isNull() &&
|
||||
!cameraModels.at(cameraIndex).localTransform().isIdentity())
|
||||
{
|
||||
pt = util3d::transformPoint(pt, cameraModels.at(cameraIndex).localTransform());
|
||||
}
|
||||
|
||||
@@ -27,7 +27,6 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
|
||||
#include "rtabmap/core/util3d_mapping.h"
|
||||
|
||||
#include <rtabmap/core/util3d_conversions.h>
|
||||
#include <rtabmap/core/util3d_transforms.h>
|
||||
#include <rtabmap/core/util3d_filtering.h>
|
||||
#include <rtabmap/core/util3d.h>
|
||||
|
||||
Reference in New Issue
Block a user