Visual Servoing Platform version 3.7.0
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tutorial-apriltag-detector-live-rgbd-realsense.cpp
#include <visp3/core/vpConfig.h>
#ifdef VISP_HAVE_MODULE_SENSOR
#include <visp3/sensor/vpRealSense2.h>
#endif
#include <visp3/detection/vpDetectorAprilTag.h>
#include <visp3/core/vpImageConvert.h>
#include <visp3/gui/vpDisplayFactory.h>
#include <visp3/vision/vpPose.h>
void usage(const char **argv, int error);
void usage(const char **argv, int error)
{
std::cout << "Synopsis" << std::endl
<< " " << argv[0]
<< " [--tag-size <size>]"
<< " [--tag-family <family>]"
<< " [--tag-decision-margin-threshold <threshold>]"
<< " [--tag-hamming-distance-threshold <threshold>]"
<< " [--tag-quad-decimate <factor>]"
<< " [--tag-n-threads <number>]"
<< " [--tag-z-aligned]"
<< " [--tag-pose-method <method>]"
#if defined(VISP_HAVE_DISPLAY)
<< " [--display-tag]"
<< " [--display-off]"
<< " [--color <id>]"
<< " [--thickness <thickness>"
#endif
<< " [--verbose, -v]"
<< " [--help, -h]" << std::endl
<< std::endl;
std::cout << "Description" << std::endl
<< " Compute the pose of an Apriltag in images acquired with a realsense camera." << std::endl
<< std::endl
<< " --tag-size <size>" << std::endl
<< " Apriltag size in [m]." << std::endl
<< " Default: 0.03" << std::endl
<< std::endl
<< " --tag-family <family>" << std::endl
<< " Apriltag family. Supported values are:" << std::endl
<< " 0: TAG_36h11" << std::endl
<< " 1: TAG_36h10 (DEPRECATED)" << std::endl
<< " 2: TAG_36ARTOOLKIT (DEPRECATED)" << std::endl
<< " 3: TAG_25h9" << std::endl
<< " 4: TAG_25h7 (DEPRECATED)" << std::endl
<< " 5: TAG_16h5" << std::endl
<< " 6: TAG_CIRCLE21h7" << std::endl
<< " 7: TAG_CIRCLE49h12" << std::endl
<< " 8: TAG_CUSTOM48h12" << std::endl
<< " 9: TAG_STANDARD41h12" << std::endl
<< " 10: TAG_STANDARD52h13" << std::endl
<< " 11: TAG_ARUCO_4x4_50" << std::endl
<< " 12: TAG_ARUCO_4x4_100" << std::endl
<< " 13: TAG_ARUCO_4x4_250" << std::endl
<< " 14: TAG_ARUCO_4x4_1000" << std::endl
<< " 15: TAG_ARUCO_5x5_50" << std::endl
<< " 16: TAG_ARUCO_5x5_100" << std::endl
<< " 17: TAG_ARUCO_5x5_250" << std::endl
<< " 18: TAG_ARUCO_5x5_1000" << std::endl
<< " 19: TAG_ARUCO_6x6_50" << std::endl
<< " 20: TAG_ARUCO_6x6_100" << std::endl
<< " 21: TAG_ARUCO_6x6_250" << std::endl
<< " 22: TAG_ARUCO_6x6_1000" << std::endl
<< " 23: TAG_ARUCO_7x7_50" << std::endl
<< " 24: TAG_ARUCO_7x7_100" << std::endl
<< " 25: TAG_ARUCO_7x7_250" << std::endl
<< " 26: TAG_ARUCO_7x7_1000" << std::endl
<< " 27: TAG_ARUCO_MIP_36h12" << std::endl
<< " Default: 0 (36h11)" << std::endl
<< std::endl
<< " --tag-decision-margin-threshold <threshold>" << std::endl
<< " Threshold used to discard low-confident detections. A typical value is " << std::endl
<< " around 100. The higher this value, the more false positives will be filtered" << std::endl
<< " out. When this value is set to -1, false positives are not filtered out." << std::endl
<< " Default: 50" << std::endl
<< std::endl
<< " --tag-hamming-distance-threshold <threshold>" << std::endl
<< " Threshold used to discard low-confident detections with corrected bits." << std::endl
<< " A typical value is between 0 and 3. The lower this value, the more false" << std::endl
<< " positives will be filtered out." << std::endl
<< " Default: 0" << std::endl
<< std::endl
<< " --tag-quad-decimate <factor>" << std::endl
<< " Decimation factor used to detect a tag. " << std::endl
<< " Default: 1" << std::endl
<< std::endl
<< " --tag-n-threads <number>" << std::endl
<< " Number of threads used to detect a tag." << std::endl
<< " Default: 1" << std::endl
<< std::endl
<< " --tag-z-aligned" << std::endl
<< " When enabled, tag z-axis and camera z-axis are aligned." << std::endl
<< " Default: false" << std::endl
<< std::endl
<< " --tag-pose-method <method>" << std::endl
<< " Algorithm used to compute the tag pose from its 4 corners." << std::endl
<< " Possible values are:" << std::endl
<< " 0: HOMOGRAPHY" << std::endl
<< " 1: HOMOGRAPHY_VIRTUAL_VS" << std::endl
<< " 2: DEMENTHON_VIRTUAL_VS" << std::endl
<< " 3: LAGRANGE_VIRTUAL_VS" << std::endl
<< " 4: BEST_RESIDUAL_VIRTUAL_VS" << std::endl
<< " 5: HOMOGRAPHY_ORTHOGONAL_ITERATION" << std::endl
<< " Default: 1 (HOMOGRAPHY_VIRTUAL_VS)" << std::endl
<< std::endl
#if defined(VISP_HAVE_DISPLAY)
<< " --display-tag" << std::endl
<< " Flag used to enable displaying the edges of a tag." << std::endl
<< " Default: disabled" << std::endl
<< std::endl
<< " --display-off" << std::endl
<< " Flag used to turn display off." << std::endl
<< " Default: enabled" << std::endl
<< std::endl
<< " --color <id>" << std::endl
<< " Color id used to display the frame over each tag." << std::endl
<< " Possible values are:" << std::endl
<< " -1: R-G-B colors for X, Y, Z axis respectively" << std::endl
<< " 0: all axis in black" << std::endl
<< " 1: all axis in white" << std::endl
<< " ..." << std::endl
<< " Default: -1" << std::endl
<< std::endl
<< " --thickness <thickness>" << std::endl
<< " Thickness of the drawings in overlay." << std::endl
<< " Default: 2" << std::endl
<< std::endl
#endif
<< " --verbose, -v" << std::endl
<< " Enable extra verbosity." << std::endl
<< std::endl
<< " --help, -h" << std::endl
<< " Print this helper message." << std::endl
<< std::endl;
if (error) {
std::cout << "Error" << std::endl
<< " "
<< "Unsupported parameter " << argv[error] << std::endl;
}
}
int main(int argc, const char **argv)
{
#if defined(VISP_HAVE_APRILTAG) && defined(VISP_HAVE_REALSENSE2)
#ifdef ENABLE_VISP_NAMESPACE
using namespace VISP_NAMESPACE_NAME;
#endif
double opt_tag_size = 0.053;
float opt_tag_quad_decimate = 1.0;
float opt_tag_decision_margin_threshold = 50;
int opt_tag_hamming_distance_threshold = 2;
int opt_tag_nThreads = 1;
bool opt_display_tag = false;
int opt_color_id = -1;
unsigned int opt_thickness = 2;
bool opt_tag_z_align_frame = false;
bool opt_verbose = false;
#if !(defined(VISP_HAVE_DISPLAY))
bool opt_display_off = true;
std::cout << "Warning: There is no 3rd party to display images..." << std::endl;
#else
bool opt_display_off = false;
#endif
for (int i = 1; i < argc; ++i) {
if (std::string(argv[i]) == "--tag-size" && i + 1 < argc) {
opt_tag_size = atof(argv[++i]);
}
else if (std::string(argv[i]) == "--tag-family" && i + 1 < argc) {
opt_tag_family = (vpDetectorAprilTag::vpAprilTagFamily)atoi(argv[++i]);
}
else if (std::string(argv[i]) == "--tag-quad-decimate" && i + 1 < argc) {
opt_tag_quad_decimate = static_cast<float>(atof(argv[++i]));
}
else if (std::string(argv[i]) == "--tag-n-threads" && i + 1 < argc) {
opt_tag_nThreads = atoi(argv[++i]);
}
else if (std::string(argv[i]) == "--tag-z-aligned") {
opt_tag_z_align_frame = true;
}
else if (std::string(argv[i]) == "--tag-pose-method" && i + 1 < argc) {
opt_tag_pose_estimation_method = (vpDetectorAprilTag::vpPoseEstimationMethod)atoi(argv[++i]);
}
else if (std::string(argv[i]) == "--tag-decision-margin-threshold" && i + 1 < argc) {
opt_tag_decision_margin_threshold = static_cast<float>(atof(argv[++i]));
}
else if (std::string(argv[i]) == "--tag-hamming-distance-threshold" && i + 1 < argc) {
opt_tag_hamming_distance_threshold = atoi(argv[++i]);
}
#if defined(VISP_HAVE_DISPLAY)
else if (std::string(argv[i]) == "--display-tag") {
opt_display_tag = true;
}
else if (std::string(argv[i]) == "--display-off") {
opt_display_off = true;
}
else if (std::string(argv[i]) == "--color" && i + 1 < argc) {
opt_color_id = atoi(argv[++i]);
}
else if (std::string(argv[i]) == "--thickness" && i + 1 < argc) {
opt_thickness = static_cast<unsigned int>(atoi(argv[++i]));
}
#endif
else if (std::string(argv[i]) == "--verbose" || std::string(argv[i]) == "-v") {
opt_verbose = true;
}
else if (std::string(argv[i]) == "--help" || std::string(argv[i]) == "-h") {
usage(argv, 0);
return EXIT_SUCCESS;
}
else {
usage(argv, i);
return EXIT_FAILURE;
}
}
#if (VISP_CXX_STANDARD >= VISP_CXX_STANDARD_11)
std::shared_ptr<vpDisplay> d1, d2, d3;
#else
vpDisplay *d1 = nullptr;
vpDisplay *d2 = nullptr;
vpDisplay *d3 = nullptr;
#endif
try {
std::cout << "Use Realsense 2 grabber" << std::endl;
rs2::config config;
unsigned int width = 640, height = 480;
config.enable_stream(RS2_STREAM_COLOR, static_cast<int>(width), static_cast<int>(height), RS2_FORMAT_RGBA8, 30);
config.enable_stream(RS2_STREAM_DEPTH, static_cast<int>(width), static_cast<int>(height), RS2_FORMAT_Z16, 30);
config.enable_stream(RS2_STREAM_INFRARED, static_cast<int>(width), static_cast<int>(height), RS2_FORMAT_Y8, 30);
vpImage<vpRGBa> I_color(height, width);
vpImage<uint16_t> I_depth_raw(height, width);
g.open(config);
const float depth_scale = g.getDepthScale();
std::cout << "I_color: " << I_color.getWidth() << " " << I_color.getHeight() << std::endl;
std::cout << "I_depth_raw: " << I_depth_raw.getWidth() << " " << I_depth_raw.getHeight() << std::endl;
rs2::align align_to_color = RS2_STREAM_COLOR;
g.acquire(reinterpret_cast<unsigned char *>(I_color.bitmap), reinterpret_cast<unsigned char *>(I_depth_raw.bitmap),
nullptr, nullptr, &align_to_color);
std::cout << "Read camera parameters from Realsense device" << std::endl;
std::cout << cam << std::endl;
std::cout << "Tag detector settings" << std::endl;
std::cout << " Tag size [m] : " << opt_tag_size << std::endl;
std::cout << " Tag family : " << opt_tag_family << std::endl;
std::cout << " Quad decimate : " << opt_tag_quad_decimate << std::endl;
std::cout << " Decision margin threshold : " << opt_tag_decision_margin_threshold << std::endl;
std::cout << " Hamming distance threshold: " << opt_tag_hamming_distance_threshold << std::endl;
std::cout << " Num threads : " << opt_tag_nThreads << std::endl;
std::cout << " Z aligned : " << opt_tag_z_align_frame << std::endl;
std::cout << " Pose estimation : " << opt_tag_pose_estimation_method << std::endl;
vpImage<vpRGBa> I_color2 = I_color;
vpImage<float> depthMap;
vpImageConvert::createDepthHistogram(I_depth_raw, I_depth);
if (!opt_display_off) {
#if (VISP_CXX_STANDARD >= VISP_CXX_STANDARD_11)
d1 = vpDisplayFactory::createDisplay(I_color, 100, 30, "Pose from Homography");
d2 = vpDisplayFactory::createDisplay(I_color2, I_color.getWidth() + 120, 30, "Pose from RGBD fusion");
d3 = vpDisplayFactory::createDisplay(I_depth, 100, I_color.getHeight() + 70, "Depth");
#else
d1 = vpDisplayFactory::allocateDisplay(I_color, 100, 30, "Pose from Homography");
d2 = vpDisplayFactory::allocateDisplay(I_color2, I_color.getWidth() + 120, 30, "Pose from RGBD fusion");
d3 = vpDisplayFactory::allocateDisplay(I_depth, 100, I_color.getHeight() + 70, "Depth");
#endif
}
vpDetectorAprilTag detector(opt_tag_family);
detector.setAprilTagQuadDecimate(opt_tag_quad_decimate);
detector.setAprilTagPoseEstimationMethod(opt_tag_pose_estimation_method);
detector.setAprilTagNbThreads(opt_tag_nThreads);
detector.setDisplayTag(opt_display_tag, opt_color_id < 0 ? vpColor::none : vpColor::getColor(opt_color_id), opt_thickness);
detector.setZAlignedWithCameraAxis(opt_tag_z_align_frame);
detector.setAprilTagDecisionMarginThreshold(opt_tag_decision_margin_threshold);
detector.setAprilTagHammingDistanceThreshold(opt_tag_hamming_distance_threshold);
std::vector<double> time_vec, time_vec_detection;
for (;;) {
g.acquire(reinterpret_cast<unsigned char *>(I_color.bitmap),
reinterpret_cast<unsigned char *>(I_depth_raw.bitmap), nullptr, nullptr, &align_to_color);
I_color2 = I_color;
vpImageConvert::createDepthHistogram(I_depth_raw, I_depth);
depthMap.resize(I_depth_raw.getHeight(), I_depth_raw.getWidth());
#ifdef VISP_HAVE_OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < static_cast<int>(I_depth_raw.getHeight()); i++) {
for (int j = 0; j < static_cast<int>(I_depth_raw.getWidth()); j++) {
if (I_depth_raw[i][j]) {
float Z = I_depth_raw[i][j] * depth_scale;
depthMap[i][j] = Z;
}
else {
depthMap[i][j] = 0;
}
}
}
vpDisplay::display(I_color2);
double t_detection = vpTime::measureTimeMs();
std::vector<vpHomogeneousMatrix> cMo_vec;
detector.detect(I, opt_tag_size, cam, cMo_vec);
t_detection = vpTime::measureTimeMs() - t_detection;
time_vec_detection.push_back(t_detection);
// Display camera pose for each tag
std::vector<std::vector<vpImagePoint> > tagsCorners = detector.getTagsCorners();
detector.displayTags(I_color, tagsCorners, vpColor::none, opt_thickness);
detector.displayFrames(I_color, cMo_vec, cam, opt_tag_size / 2, vpColor::none, opt_thickness);
detector.displayTags(I_color2, tagsCorners, vpColor::none, opt_thickness);
detector.displayFrames(I_color2, cMo_vec, cam, opt_tag_size / 2, vpColor::none, opt_thickness);
std::vector<std::vector<vpImagePoint> > tags_corners = detector.getPolygon();
std::vector<int> tags_id = detector.getTagsId();
std::map<int, double> tags_size;
tags_size[-1] = opt_tag_size; // Default tag size
std::vector<std::vector<vpPoint> > tags_points3d = detector.getTagsPoints3D(tags_id, tags_size);
for (size_t i = 0; i < tags_corners.size(); i++) {
double confidence_index;
if (vpPose::computePlanarObjectPoseFromRGBD(depthMap, tags_corners[i], cam, tags_points3d[i], cMo,
&confidence_index)) {
if (confidence_index > 0.5) {
vpDisplay::displayFrame(I_color2, cMo, cam, opt_tag_size / 2, vpColor::none, opt_thickness);
}
else if (confidence_index > 0.25) {
vpDisplay::displayFrame(I_color2, cMo, cam, opt_tag_size / 2, vpColor::orange, opt_thickness);
}
else {
vpDisplay::displayFrame(I_color2, cMo, cam, opt_tag_size / 2, vpColor::red, opt_thickness);
}
std::stringstream ss;
ss << "Tag id " << tags_id[i] << " confidence: " << confidence_index;
vpDisplay::displayText(I_color2, 35 + static_cast<int>(i) * 15, 20, ss.str(), vpColor::red);
if (opt_verbose) {
std::cout << ss.str() << std::endl;
std::cout << "cMo[" << i << "]: \n" << cMo_vec[i] << std::endl;
std::cout << "cMo[" << i << "] using depth: \n" << cMo << std::endl;
}
}
else {
vpDisplay::displayText(I_color2, 35, 20, "Unable to compuee a valid pose from RGB-D fusion", vpColor::red);
vpDisplay::displayText(I_color2, 50, 20, "Check your tag size parameter...", vpColor::red);
}
}
vpDisplay::displayText(I_color, 20, 20, "Pose from homography + VVS", vpColor::red);
vpDisplay::displayText(I_color2, 20, 20, "Pose from RGBD fusion", vpColor::red);
vpDisplay::displayText(I_color, 35, 20, "Click to quit.", vpColor::red);
time_vec.push_back(t);
std::stringstream ss;
ss << "Detection time: " << t << " ms for " << detector.getNbObjects() << " tags";
vpDisplay::displayText(I_color, 50, 20, ss.str(), vpColor::red);
if (vpDisplay::getClick(I_color, false))
break;
vpDisplay::flush(I_color);
vpDisplay::flush(I_color2);
vpDisplay::flush(I_depth);
}
std::cout << "Benchmark loop processing time" << std::endl;
std::cout << "Mean / Median / Std: " << vpMath::getMean(time_vec) << " ms"
<< " ; " << vpMath::getMedian(time_vec) << " ms"
<< " ; " << vpMath::getStdev(time_vec) << " ms" << std::endl;
std::cout << "Benchmark detection processing time" << std::endl;
std::cout << "Mean / Median / Std: " << vpMath::getMean(time_vec_detection) << " ms"
<< " ; " << vpMath::getMedian(time_vec_detection) << " ms"
<< " ; " << vpMath::getStdev(time_vec_detection) << " ms" << std::endl;
}
catch (const vpException &e) {
std::cerr << "Catch an exception: " << e.getMessage() << std::endl;
}
#if (VISP_CXX_STANDARD < VISP_CXX_STANDARD_11)
if (!opt_display_off) {
if (d1 != nullptr) {
delete d1;
}
if (d2 != nullptr) {
delete d2;
}
if (d3 != nullptr) {
delete d3;
}
}
#endif
return EXIT_SUCCESS;
#else
(void)argc;
(void)argv;
#ifndef VISP_HAVE_APRILTAG
std::cout << "Enable Apriltag support, configure and build ViSP to run this tutorial" << std::endl;
#else
std::cout << "Install librealsense 3rd party, configure and build ViSP again to use this example" << std::endl;
#endif
#endif
return EXIT_SUCCESS;
}
Generic class defining intrinsic camera parameters.
@ perspectiveProjWithoutDistortion
Perspective projection without distortion model.
static vpColor getColor(const unsigned int &i)
Definition vpColor.h:300
static const vpColor red
Definition vpColor.h:198
static const vpColor none
Definition vpColor.h:210
static const vpColor orange
Definition vpColor.h:208
@ TAG_36h11
AprilTag 36h11 pattern (recommended).
Class that defines generic functionalities for display.
Definition vpDisplay.h:171
static bool getClick(const vpImage< unsigned char > &I, bool blocking=true)
static void display(const vpImage< unsigned char > &I)
static void displayFrame(const vpImage< unsigned char > &I, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam, double size, const vpColor &color=vpColor::none, unsigned int thickness=1, const vpImagePoint &offset=vpImagePoint(0, 0), const std::string &frameName="", const vpColor &textColor=vpColor::black, const vpImagePoint &textOffset=vpImagePoint(15, 15))
static void flush(const vpImage< unsigned char > &I)
static void displayText(const vpImage< unsigned char > &I, const vpImagePoint &ip, const std::string &s, const vpColor &color)
error that can be emitted by ViSP classes.
Definition vpException.h:60
Implementation of an homogeneous matrix and operations on such kind of matrices.
static void createDepthHistogram(const vpImage< uint16_t > &src_depth, vpImage< vpRGBa > &dest_rgba)
static void convert(const vpImage< unsigned char > &src, vpImage< vpRGBa > &dest)
Definition of the vpImage class member functions.
Definition vpImage.h:131
void resize(unsigned int h, unsigned int w)
resize the image : Image initialization
Definition vpImage.h:544
static double getMedian(const std::vector< double > &v)
Definition vpMath.cpp:343
static double getStdev(const std::vector< double > &v, bool useBesselCorrection=false)
Definition vpMath.cpp:374
static double getMean(const std::vector< double > &v)
Definition vpMath.cpp:323
static bool computePlanarObjectPoseFromRGBD(const vpImage< float > &depthMap, const std::vector< vpImagePoint > &corners, const vpCameraParameters &colorIntrinsics, const std::vector< vpPoint > &point3d, vpHomogeneousMatrix &cMo, double *confidence_index=nullptr)
vpCameraParameters getCameraParameters(const rs2_stream &stream, vpCameraParameters::vpCameraParametersProjType type=vpCameraParameters::perspectiveProjWithDistortion, int index=-1) const
void acquire(vpImage< unsigned char > &grey, double *ts=nullptr)
bool open(const rs2::config &cfg=rs2::config())
float getDepthScale()
std::shared_ptr< vpDisplay > createDisplay()
Return a smart pointer vpDisplay specialization if a GUI library is available or nullptr otherwise.
vpDisplay * allocateDisplay()
Return a newly allocated vpDisplay specialization if a GUI library is available or nullptr otherwise.
VISP_EXPORT double measureTimeMs()