Visual Servoing Platform  version 3.2.0 under development (2018-10-16)
testKeyPoint-4.cpp

Test keypoint matching and pose estimation with mostly OpenCV functions calls to detect potential memory leaks in testKeyPoint-2.cpp.

/****************************************************************************
*
* This file is part of the ViSP software.
* Copyright (C) 2005 - 2017 by Inria. All rights reserved.
*
* This software is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
* See the file LICENSE.txt at the root directory of this source
* distribution for additional information about the GNU GPL.
*
* For using ViSP with software that can not be combined with the GNU
* GPL, please contact Inria about acquiring a ViSP Professional
* Edition License.
*
* See http://visp.inria.fr for more information.
*
* This software was developed at:
* Inria Rennes - Bretagne Atlantique
* Campus Universitaire de Beaulieu
* 35042 Rennes Cedex
* France
*
* If you have questions regarding the use of this file, please contact
* Inria at visp@inria.fr
*
* This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
* WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
*
* Description:
* Test keypoint matching and pose estimation with mostly OpenCV functions
*calls to detect potential memory leaks in testKeyPoint-2.cpp.
*
* Authors:
* Souriya Trinh
*
*****************************************************************************/
#include <iostream>
#include <visp3/core/vpConfig.h>
#if defined(VISP_HAVE_OPENCV) && (VISP_HAVE_OPENCV_VERSION >= 0x020301)
#include <opencv2/core/core.hpp>
#include <opencv2/features2d/features2d.hpp>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpImage.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/gui/vpDisplayGDI.h>
#include <visp3/gui/vpDisplayGTK.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/io/vpImageIo.h>
#include <visp3/io/vpParseArgv.h>
#include <visp3/io/vpVideoReader.h>
#include <visp3/mbt/vpMbEdgeTracker.h>
#include <visp3/vision/vpKeyPoint.h>
// List of allowed command line options
#define GETOPTARGS "cdh"
void usage(const char *name, const char *badparam);
bool getOptions(int argc, const char **argv, bool &click_allowed, bool &display);
void usage(const char *name, const char *badparam)
{
fprintf(stdout, "\n\
Test keypoints matching.\n\
\n\
SYNOPSIS\n\
%s [-c] [-d] [-h]\n", name);
fprintf(stdout, "\n\
OPTIONS: \n\
\n\
-c\n\
Disable the mouse click. Useful to automate the \n\
execution of this program without human intervention.\n\
\n\
-d \n\
Turn off the display.\n\
\n\
-h\n\
Print the help.\n");
if (badparam)
fprintf(stdout, "\nERROR: Bad parameter [%s]\n", badparam);
}
bool getOptions(int argc, const char **argv, bool &click_allowed, bool &display)
{
const char *optarg_;
int c;
while ((c = vpParseArgv::parse(argc, argv, GETOPTARGS, &optarg_)) > 1) {
switch (c) {
case 'c':
click_allowed = false;
break;
case 'd':
display = false;
break;
case 'h':
usage(argv[0], NULL);
return false;
break;
default:
usage(argv[0], optarg_);
return false;
break;
}
}
if ((c == 1) || (c == -1)) {
// standalone param or error
usage(argv[0], NULL);
std::cerr << "ERROR: " << std::endl;
std::cerr << " Bad argument " << optarg_ << std::endl << std::endl;
return false;
}
return true;
}
int main(int argc, const char **argv)
{
try {
std::string env_ipath;
bool opt_click_allowed = true;
bool opt_display = true;
// Read the command line options
if (getOptions(argc, argv, opt_click_allowed, opt_display) == false) {
exit(-1);
}
// Get the visp-images-data package path or VISP_INPUT_IMAGE_PATH
// environment variable value
if (env_ipath.empty()) {
std::cerr << "Please set the VISP_INPUT_IMAGE_PATH environment "
"variable value."
<< std::endl;
return -1;
}
vpImage<unsigned char> I, Imatch, Iref;
// Set the path location of the image sequence
std::string dirname = vpIoTools::createFilePath(env_ipath, "mbt/cube");
// Build the name of the image files
std::string filenameRef = vpIoTools::createFilePath(dirname, "image0000.pgm");
vpImageIo::read(I, filenameRef);
Iref = I;
std::string filenameCur = vpIoTools::createFilePath(dirname, "image%04d.pgm");
#if defined VISP_HAVE_X11
vpDisplayX display, display2;
#elif defined VISP_HAVE_GTK
vpDisplayGTK display, display2;
#elif defined VISP_HAVE_GDI
vpDisplayGDI display, display2;
#else
vpDisplayOpenCV display, display2;
#endif
if (opt_display) {
display.init(I, 0, 0, "ORB keypoints matching");
Imatch.resize(I.getHeight(), 2 * I.getWidth());
Imatch.insert(I, vpImagePoint(0, 0));
display2.init(Imatch, 0, (int)I.getHeight() / vpDisplay::getDownScalingFactor(I) + 70, "ORB keypoints matching");
}
vpMbEdgeTracker tracker;
// Load config for tracker
std::string tracker_config_file = vpIoTools::createFilePath(env_ipath, "mbt/cube.xml");
#ifdef VISP_HAVE_XML2
tracker.loadConfigFile(tracker_config_file);
tracker.getCameraParameters(cam);
#else
vpMe me;
me.setMaskSize(5);
me.setMaskNumber(180);
me.setRange(8);
me.setThreshold(10000);
me.setMu1(0.5);
me.setMu2(0.5);
tracker.setMovingEdge(me);
cam.initPersProjWithoutDistortion(547.7367575, 542.0744058, 338.7036994, 234.5083345);
tracker.setCameraParameters(cam);
tracker.setNearClippingDistance(0.01);
tracker.setFarClippingDistance(100.0);
#endif
// Load CAO model
std::string cao_model_file = vpIoTools::createFilePath(env_ipath, "mbt/cube.cao");
tracker.loadModel(cao_model_file);
// Initialize the pose
std::string init_file = vpIoTools::createFilePath(env_ipath, "mbt/cube.init");
if (opt_display && opt_click_allowed) {
tracker.initClick(I, init_file);
} else {
vpHomogeneousMatrix cMoi(0.02044769891, 0.1101505452, 0.5078963719, 2.063603907, 1.110231561, -0.4392789872);
tracker.initFromPose(I, cMoi);
}
// Get the init pose
tracker.getPose(cMo);
// Init keypoints
cv::Ptr<cv::FeatureDetector> detector;
cv::Ptr<cv::DescriptorExtractor> extractor;
cv::Ptr<cv::DescriptorMatcher> matcher;
#if (VISP_HAVE_OPENCV_VERSION >= 0x030000)
detector = cv::ORB::create(500, 1.2f, 1);
extractor = cv::ORB::create(500, 1.2f, 1);
#elif (VISP_HAVE_OPENCV_VERSION >= 0x020301)
detector = cv::FeatureDetector::create("ORB");
extractor = cv::DescriptorExtractor::create("ORB");
#endif
matcher = cv::DescriptorMatcher::create("BruteForce-Hamming");
#if (VISP_HAVE_OPENCV_VERSION >= 0x020400 && VISP_HAVE_OPENCV_VERSION < 0x030000)
detector->set("nLevels", 1);
#endif
// Detect keypoints on the current image
std::vector<cv::KeyPoint> trainKeyPoints;
cv::Mat matImg;
detector->detect(matImg, trainKeyPoints);
// Keep only keypoints on the cube
std::vector<vpPolygon> polygons;
std::vector<std::vector<vpPoint> > roisPt;
std::pair<std::vector<vpPolygon>, std::vector<std::vector<vpPoint> > > pair = tracker.getPolygonFaces(false);
polygons = pair.first;
roisPt = pair.second;
// Compute the 3D coordinates
std::vector<cv::Point3f> points3f;
vpKeyPoint::compute3DForPointsInPolygons(cMo, cam, trainKeyPoints, polygons, roisPt, points3f);
// Extract descriptors
cv::Mat trainDescriptors;
extractor->compute(matImg, trainKeyPoints, trainDescriptors);
if (trainKeyPoints.size() != (size_t)trainDescriptors.rows || trainKeyPoints.size() != points3f.size()) {
std::cerr << "Problem with training data size !" << std::endl;
return -1;
}
// Init reader for getting the input image sequence
g.setFileName(filenameCur);
g.open(I);
g.acquire(I);
bool opt_click = false;
while ((opt_display && !g.end()) || (!opt_display && g.getFrameIndex() < 30)) {
g.acquire(I);
std::vector<cv::KeyPoint> queryKeyPoints;
detector->detect(matImg, queryKeyPoints);
cv::Mat queryDescriptors;
extractor->compute(matImg, queryKeyPoints, queryDescriptors);
std::vector<std::vector<cv::DMatch> > knn_matches;
std::vector<cv::DMatch> matches;
matcher->knnMatch(queryDescriptors, trainDescriptors, knn_matches, 2);
for (std::vector<std::vector<cv::DMatch> >::const_iterator it = knn_matches.begin(); it != knn_matches.end();
++it) {
if (it->size() > 1) {
double ratio = (*it)[0].distance / (*it)[1].distance;
if (ratio < 0.85) {
matches.push_back((*it)[0]);
}
}
}
vpPose estimated_pose;
for (std::vector<cv::DMatch>::const_iterator it = matches.begin(); it != matches.end(); ++it) {
vpPoint pt(points3f[(size_t)(it->trainIdx)].x, points3f[(size_t)(it->trainIdx)].y,
points3f[(size_t)(it->trainIdx)].z);
double x = 0.0, y = 0.0;
vpPixelMeterConversion::convertPoint(cam, queryKeyPoints[(size_t)(it->queryIdx)].pt.x,
queryKeyPoints[(size_t)(it->queryIdx)].pt.y, x, y);
pt.set_x(x);
pt.set_y(y);
estimated_pose.addPoint(pt);
}
bool is_pose_estimated = false;
if (estimated_pose.npt >= 4) {
try {
unsigned int nb_inliers = (unsigned int)(0.6 * estimated_pose.npt);
estimated_pose.setRansacNbInliersToReachConsensus(nb_inliers);
estimated_pose.setRansacThreshold(0.01);
estimated_pose.setRansacMaxTrials(500);
estimated_pose.computePose(vpPose::RANSAC, cMo);
is_pose_estimated = true;
} catch (...) {
is_pose_estimated = false;
}
}
if (opt_display) {
Imatch.insert(I, vpImagePoint(0, Iref.getWidth()));
for (std::vector<cv::DMatch>::const_iterator it = matches.begin(); it != matches.end(); ++it) {
vpImagePoint leftPt(trainKeyPoints[(size_t)it->trainIdx].pt.y, trainKeyPoints[(size_t)it->trainIdx].pt.x);
vpImagePoint rightPt(queryKeyPoints[(size_t)it->queryIdx].pt.y,
queryKeyPoints[(size_t)it->queryIdx].pt.x + Iref.getWidth());
vpDisplay::displayLine(Imatch, leftPt, rightPt, vpColor::green);
}
if (is_pose_estimated) {
tracker.setPose(I, cMo);
tracker.display(I, cMo, cam, vpColor::red);
}
}
// Click requested to process next image
if (opt_click_allowed && opt_display) {
if (opt_click) {
vpDisplay::getClick(I, button, true);
if (button == vpMouseButton::button3) {
opt_click = false;
}
} else {
// Use right click to enable/disable step by step tracking
if (vpDisplay::getClick(I, button, false)) {
if (button == vpMouseButton::button3) {
opt_click = true;
} else if (button == vpMouseButton::button1) {
break;
}
}
}
}
}
} catch (const vpException &e) {
std::cerr << e.what() << std::endl;
return -1;
}
std::cout << "testKeyPoint-4 is ok !" << std::endl;
return 0;
}
#else
int main()
{
std::cerr << "You need OpenCV library." << std::endl;
return 0;
}
#endif