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https://github.com/introlab/rtabmap.git
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Added PyDetector (#677)
* Added PyDetector. Refactored PyMatcher. * Fixed python freezing with multi-threading
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@@ -120,7 +120,8 @@ public:
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kFeatureSuperPointTorch=11, //new 0.19.7
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kFeatureSurfFreak=12, //new 0.20.4
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kFeatureGfttDaisy=13, //new 0.20.6
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kFeatureSurfDaisy=14}; //new 0.20.6
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kFeatureSurfDaisy=14, //new 0.20.6
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kFeaturePyDetector=15}; //new 0.20.8
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static std::string typeName(Type type)
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{
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@@ -244,9 +244,9 @@ class RTABMAP_EXP Parameters
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RTABMAP_PARAM(Kp, NndrRatio, float, 0.8, "NNDR ratio (A matching pair is detected, if its distance is closer than X times the distance of the second nearest neighbor.)");
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#if CV_MAJOR_VERSION > 2 && !defined(HAVE_OPENCV_XFEATURES2D)
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// OpenCV>2 without xFeatures2D module doesn't have BRIEF
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RTABMAP_PARAM(Kp, DetectorStrategy, int, 8, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB 9=KAZE 10=ORB-OCTREE 11=SuperPoint 12=SURF/FREAK 13=GFTT/DAISY 14=SURF/DAISY");
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RTABMAP_PARAM(Kp, DetectorStrategy, int, 8, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB 9=KAZE 10=ORB-OCTREE 11=SuperPoint 12=SURF/FREAK 13=GFTT/DAISY 14=SURF/DAISY 15=PyDetector");
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#else
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RTABMAP_PARAM(Kp, DetectorStrategy, int, 6, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB 9=KAZE 10=ORB-OCTREE 11=SuperPoint 12=SURF/FREAK 13=GFTT/DAISY 14=SURF/DAISY");
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RTABMAP_PARAM(Kp, DetectorStrategy, int, 6, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB 9=KAZE 10=ORB-OCTREE 11=SuperPoint 12=SURF/FREAK 13=GFTT/DAISY 14=SURF/DAISY 15=PyDetector");
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#endif
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RTABMAP_PARAM(Kp, TfIdfLikelihoodUsed, bool, true, "Use of the td-idf strategy to compute the likelihood.");
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RTABMAP_PARAM(Kp, Parallelized, bool, true, "If the dictionary update and signature creation were parallelized.");
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@@ -332,6 +332,9 @@ class RTABMAP_EXP Parameters
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RTABMAP_PARAM(SuperPoint, NMSRadius, int, 4, uFormat("[%s=true] Minimum distance (pixels) between keypoints.", kSuperPointNMS().c_str()));
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RTABMAP_PARAM(SuperPoint, Cuda, bool, true, "Use Cuda device for Torch, otherwise CPU device is used by default.");
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RTABMAP_PARAM_STR(PyDetector, Path, "", "Path to python script file (see available ones in rtabmap/corelib/src/python/*). See the header to see where the script should be copied.");
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RTABMAP_PARAM(PyDetector, Cuda, bool, true, "Use cuda.");
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// BayesFilter
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RTABMAP_PARAM(Bayes, VirtualPlacePriorThr, float, 0.9, "Virtual place prior");
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RTABMAP_PARAM_STR(Bayes, PredictionLC, "0.1 0.36 0.30 0.16 0.062 0.0151 0.00255 0.000324 2.5e-05 1.3e-06 4.8e-08 1.2e-09 1.9e-11 2.2e-13 1.7e-15 8.5e-18 2.9e-20 6.9e-23", "Prediction of loop closures (Gaussian-like, here with sigma=1.6) - Format: {VirtualPlaceProb, LoopClosureProb, NeighborLvl1, NeighborLvl2, ...}.");
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@@ -592,9 +595,9 @@ class RTABMAP_EXP Parameters
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RTABMAP_PARAM(Vis, Iterations, int, 300, "Maximum iterations to compute the transform.");
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#if CV_MAJOR_VERSION > 2 && !defined(HAVE_OPENCV_XFEATURES2D)
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// OpenCV>2 without xFeatures2D module doesn't have BRIEF
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RTABMAP_PARAM(Vis, FeatureType, int, 8, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB 9=KAZE 10=ORB-OCTREE 11=SuperPoint 12=SURF/FREAK 13=GFTT/DAISY 14=SURF/DAISY");
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RTABMAP_PARAM(Vis, FeatureType, int, 8, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB 9=KAZE 10=ORB-OCTREE 11=SuperPoint 12=SURF/FREAK 13=GFTT/DAISY 14=SURF/DAISY 15=PyDetector");
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#else
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RTABMAP_PARAM(Vis, FeatureType, int, 6, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB 9=KAZE 10=ORB-OCTREE 11=SuperPoint 12=SURF/FREAK 13=GFTT/DAISY 14=SURF/DAISY");
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RTABMAP_PARAM(Vis, FeatureType, int, 6, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK 8=GFTT/ORB 9=KAZE 10=ORB-OCTREE 11=SuperPoint 12=SURF/FREAK 13=GFTT/DAISY 14=SURF/DAISY 15=PyDetector");
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#endif
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RTABMAP_PARAM(Vis, MaxFeatures, int, 1000, "0 no limits.");
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RTABMAP_PARAM(Vis, MaxDepth, float, 0, "Max depth of the features (0 means no limit).");
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@@ -622,7 +625,7 @@ class RTABMAP_EXP Parameters
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#endif
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// Features matching approaches
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RTABMAP_PARAM_STR(PyMatcher, Path, "", "Path to python script file (see available ones in rtabmap/corelib/src/pymatcher/*). See the header to see where the script should be copied.");
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RTABMAP_PARAM_STR(PyMatcher, Path, "", "Path to python script file (see available ones in rtabmap/corelib/src/python/*). See the header to see where the script should be copied.");
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RTABMAP_PARAM(PyMatcher, Iterations, int, 20, "Sinkhorn iterations. Used by SuperGlue.");
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RTABMAP_PARAM(PyMatcher, Threshold, float, 0.2, "Used by SuperGlue.");
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RTABMAP_PARAM(PyMatcher, Cuda, bool, true, "Used by SuperGlue.");
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41
corelib/include/rtabmap/core/PythonInterface.h
Normal file
41
corelib/include/rtabmap/core/PythonInterface.h
Normal file
@@ -0,0 +1,41 @@
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/*
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* PythonInterface.h
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*
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* Created on: Jan. 14, 2021
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* Author: mathieu
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*/
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#ifndef CORELIB_SRC_PYTHON_PYTHONINTERFACE_H_
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#define CORELIB_SRC_PYTHON_PYTHONINTERFACE_H_
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#include <string>
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#include <rtabmap/utilite/UMutex.h>
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#include <Python.h>
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namespace rtabmap {
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class PythonInterface
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{
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public:
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PythonInterface();
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virtual ~PythonInterface();
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protected:
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std::string getTraceback(); // should be called between lock() and unlock()
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void lock();
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void unlock();
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private:
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static UMutex mutex_;
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static int refCount_;
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protected:
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static PyThreadState * mainThreadState_;
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static unsigned long mainThreadID_;
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PyThreadState * threadState_;
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};
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}
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#endif /* CORELIB_SRC_PYTHON_PYTHONINTERFACE_H_ */
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@@ -37,7 +37,7 @@ namespace rtabmap {
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class Feature2D;
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#ifdef RTABMAP_PYMATCHER
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#ifdef RTABMAP_PYTHON
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class PyMatcher;
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#endif
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@@ -105,7 +105,7 @@ private:
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Feature2D * _detectorFrom;
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Feature2D * _detectorTo;
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#ifdef RTABMAP_PYMATCHER
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#ifdef RTABMAP_PYTHON
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PyMatcher * _pyMatcher;
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#endif
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};
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