43 #include <visp3/core/vpConfig.h> 45 #if defined(VISP_HAVE_REALSENSE2) && defined(VISP_HAVE_CPP11_COMPATIBILITY) && \ 46 (defined(VISP_HAVE_X11) || defined(VISP_HAVE_GDI)) 48 #include <visp3/core/vpImage.h> 49 #include <visp3/core/vpImageConvert.h> 50 #include <visp3/gui/vpDisplayGDI.h> 51 #include <visp3/gui/vpDisplayX.h> 52 #include <visp3/sensor/vpRealSense2.h> 55 #include <pcl/visualization/cloud_viewer.h> 56 #include <pcl/visualization/pcl_visualizer.h> 61 #if VISP_HAVE_OPENCV_VERSION >= 0x030000 62 #include <opencv2/core.hpp> 63 #include <opencv2/highgui.hpp> 70 pcl::PointCloud<pcl::PointXYZ>::Ptr pointcloud(
new pcl::PointCloud<pcl::PointXYZ>());
71 pcl::PointCloud<pcl::PointXYZRGB>::Ptr pointcloud_color(
new pcl::PointCloud<pcl::PointXYZRGB>());
72 bool cancelled =
false, update_pointcloud =
false;
77 explicit ViewerWorker(
const bool color_mode, std::mutex &mutex) : m_colorMode(color_mode), m_mutex(mutex) {}
82 pcl::visualization::PCLVisualizer::Ptr viewer(
new pcl::visualization::PCLVisualizer(
"3D Viewer " + date));
83 pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(pointcloud_color);
84 pcl::PointCloud<pcl::PointXYZ>::Ptr local_pointcloud(
new pcl::PointCloud<pcl::PointXYZ>());
85 pcl::PointCloud<pcl::PointXYZRGB>::Ptr local_pointcloud_color(
new pcl::PointCloud<pcl::PointXYZRGB>());
87 viewer->setBackgroundColor(0, 0, 0);
88 viewer->initCameraParameters();
89 viewer->setPosition(640 + 80, 480 + 80);
90 viewer->setCameraPosition(0, 0, -0.25, 0, -1, 0);
91 viewer->setSize(640, 480);
94 bool local_update =
false, local_cancelled =
false;
95 while (!local_cancelled) {
97 std::unique_lock<std::mutex> lock(m_mutex, std::try_to_lock);
99 if (lock.owns_lock()) {
100 local_update = update_pointcloud;
101 update_pointcloud =
false;
102 local_cancelled = cancelled;
106 local_pointcloud_color = pointcloud_color->makeShared();
108 local_pointcloud = pointcloud->makeShared();
114 if (local_update && !local_cancelled) {
115 local_update =
false;
119 viewer->addPointCloud<pcl::PointXYZRGB>(local_pointcloud_color, rgb,
"RGB sample cloud");
120 viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 1,
123 viewer->addPointCloud<pcl::PointXYZ>(local_pointcloud,
"sample cloud");
124 viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 1,
"sample cloud");
129 viewer->updatePointCloud<pcl::PointXYZRGB>(local_pointcloud_color, rgb,
"RGB sample cloud");
131 viewer->updatePointCloud<pcl::PointXYZ>(local_pointcloud,
"sample cloud");
139 std::cout <<
"End of point cloud display thread" << std::endl;
147 void getPointcloud(
const rs2::depth_frame &depth_frame, std::vector<vpColVector> &pointcloud)
149 auto vf = depth_frame.as<rs2::video_frame>();
150 const int width = vf.get_width();
151 const int height = vf.get_height();
152 pointcloud.resize((
size_t)(width * height));
155 rs2::points points = pc.calculate(depth_frame);
156 auto vertices = points.get_vertices();
158 for (
size_t i = 0; i < points.size(); i++) {
160 v[0] = vertices[i].x;
161 v[1] = vertices[i].y;
162 v[2] = vertices[i].z;
176 void getNativeFrame(
const rs2::frame &frame,
unsigned char *
const data)
178 auto vf = frame.as<rs2::video_frame>();
179 int size = vf.get_width() * vf.get_height();
181 switch (frame.get_profile().format()) {
182 case RS2_FORMAT_RGB8:
183 case RS2_FORMAT_BGR8:
184 memcpy(data, (
void *)frame.get_data(), size * 3);
187 case RS2_FORMAT_RGBA8:
188 case RS2_FORMAT_BGRA8:
189 memcpy(data, (
void *)frame.get_data(), size * 4);
194 memcpy(data, (
unsigned char *)frame.get_data(), size * 2);
198 memcpy(data, (
unsigned char *)frame.get_data(), size);
206 #if VISP_HAVE_OPENCV_VERSION >= 0x030000 207 void frame_to_mat(
const rs2::frame &f, cv::Mat &img)
209 auto vf = f.as<rs2::video_frame>();
210 const int w = vf.get_width();
211 const int h = vf.get_height();
212 const int size = w * h;
214 if (f.get_profile().format() == RS2_FORMAT_BGR8) {
215 memcpy(static_cast<void*>(img.ptr<cv::Vec3b>()), f.get_data(), size * 3);
216 }
else if (f.get_profile().format() == RS2_FORMAT_RGB8) {
217 cv::Mat tmp(h, w, CV_8UC3, (
void *)f.get_data(), cv::Mat::AUTO_STEP);
218 cv::cvtColor(tmp, img, cv::COLOR_RGB2BGR);
219 }
else if (f.get_profile().format() == RS2_FORMAT_Y8) {
220 memcpy(img.ptr<uchar>(), f.get_data(), size);
226 int main(
int argc,
char *argv[])
229 bool pcl_color =
false;
231 bool show_info =
false;
233 for (
int i = 1; i < argc; i++) {
234 if (std::string(argv[i]) ==
"--show_info") {
238 else if (std::string(argv[i]) ==
"--pcl_color") {
242 else if (std::string(argv[i]) ==
"--help" || std::string(argv[i]) ==
"-h") {
243 std::cout << argv[0] <<
" [--show_info]" 256 std::cout <<
"RealSense:\n" << rs << std::endl;
262 config.enable_stream(RS2_STREAM_COLOR, 1920, 1080, RS2_FORMAT_RGBA8, 30);
263 config.enable_stream(RS2_STREAM_DEPTH, 640, 480, RS2_FORMAT_Z16, 30);
264 config.enable_stream(RS2_STREAM_INFRARED, 640, 480, RS2_FORMAT_Y16, 30);
268 auto color_profile = profile.get_stream(RS2_STREAM_COLOR).as<rs2::video_stream_profile>();
269 vpImage<vpRGBa> color((
unsigned int)color_profile.height(), (
unsigned int)color_profile.width());
271 auto depth_profile = profile.get_stream(RS2_STREAM_DEPTH).as<rs2::video_stream_profile>();
272 vpImage<vpRGBa> depth_color((
unsigned int)depth_profile.height(), (
unsigned int)depth_profile.width());
273 vpImage<uint16_t> depth_raw((
unsigned int)depth_profile.height(), (
unsigned int)depth_profile.width());
275 auto infrared_profile = profile.get_stream(RS2_STREAM_INFRARED).as<rs2::video_stream_profile>();
276 vpImage<unsigned char> infrared((
unsigned int)infrared_profile.height(), (
unsigned int)infrared_profile.width());
277 vpImage<uint16_t> infrared_raw((
unsigned int)infrared_profile.height(), (
unsigned int)infrared_profile.width());
284 d1.
init(color, 0, 0,
"Color");
285 d2.
init(depth_color, color.getWidth(), 0,
"Depth");
286 d3.
init(infrared, 0, color.getHeight() + 100,
"Infrared");
288 std::vector<vpColVector> pointcloud_colvector;
291 ViewerWorker viewer_colvector(
false, mutex);
292 std::thread viewer_colvector_thread(&ViewerWorker::run, &viewer_colvector);
297 std::cout <<
"Color intrinsics:\n" 300 std::cout <<
"Color intrinsics:\n" 303 std::cout <<
"Depth intrinsics:\n" 306 std::cout <<
"Depth intrinsics:\n" 309 std::cout <<
"Infrared intrinsics:\n" 312 std::cout <<
"Infrared intrinsics:\n" 316 std::cout <<
"depth_M_color:\n" << rs.
getTransformation(RS2_STREAM_COLOR, RS2_STREAM_DEPTH) << std::endl;
317 std::cout <<
"color_M_infrared:\n" << rs.
getTransformation(RS2_STREAM_INFRARED, RS2_STREAM_COLOR) << std::endl;
319 std::vector<double> time_vector;
324 auto data = pipe.wait_for_frames();
325 auto color_frame = data.get_color_frame();
326 getNativeFrame(color_frame, (
unsigned char *)color.bitmap);
328 auto depth_frame = data.get_depth_frame();
329 getNativeFrame(depth_frame, (
unsigned char *)depth_raw.bitmap);
331 auto infrared_frame = data.first(RS2_STREAM_INFRARED);
332 getNativeFrame(infrared_frame, (
unsigned char *)infrared_raw.bitmap);
335 getPointcloud(depth_frame, pointcloud_colvector);
338 std::lock_guard<std::mutex> lock(mutex);
340 pointcloud->width = depth_profile.width();
341 pointcloud->height = depth_profile.height();
342 pointcloud->points.resize(pointcloud_colvector.size());
343 for (
size_t i = 0; i < pointcloud_colvector.size(); i++) {
344 pointcloud->points[(size_t)i].x = pointcloud_colvector[i][0];
345 pointcloud->points[(size_t)i].y = pointcloud_colvector[i][1];
346 pointcloud->points[(size_t)i].z = pointcloud_colvector[i][2];
349 update_pointcloud =
true;
373 d2.
close(depth_color);
378 std::lock_guard<std::mutex> lock(mutex);
382 viewer_colvector_thread.join();
384 std::cout <<
"Acquisition1 - Mean time: " <<
vpMath::getMean(time_vector)
385 <<
" ms ; Median time: " <<
vpMath::getMedian(time_vector) <<
" ms" << std::endl;
387 config.disable_all_streams();
388 config.enable_stream(RS2_STREAM_COLOR, 640, 480, RS2_FORMAT_RGBA8, 60);
389 config.enable_stream(RS2_STREAM_DEPTH, 640, 480, RS2_FORMAT_Z16, 60);
390 config.enable_stream(RS2_STREAM_INFRARED, 640, 480, RS2_FORMAT_Y8, 60);
393 color_profile = profile.get_stream(RS2_STREAM_COLOR).as<rs2::video_stream_profile>();
394 color.init((
unsigned int)color_profile.height(), (
unsigned int)color_profile.width());
396 depth_profile = profile.get_stream(RS2_STREAM_DEPTH).as<rs2::video_stream_profile>();
397 depth_color.init((
unsigned int)depth_profile.height(), (
unsigned int)depth_profile.width());
398 depth_raw.init((
unsigned int)depth_profile.height(), (
unsigned int)depth_profile.width());
400 infrared_profile = profile.get_stream(RS2_STREAM_INFRARED).as<rs2::video_stream_profile>();
401 infrared.init((
unsigned int)infrared_profile.height(), (
unsigned int)infrared_profile.width());
403 d1.
init(color, 0, 0,
"Color");
404 d2.
init(depth_color, color.getWidth(), 0,
"Depth");
405 d3.
init(infrared, 0, color.getHeight() + 100,
"Infrared");
409 ViewerWorker viewer(pcl_color, mutex);
410 std::thread viewer_thread(&ViewerWorker::run, &viewer);
413 std::cout <<
"\n" << std::endl;
414 std::cout <<
"Color intrinsics:\n" 417 std::cout <<
"Color intrinsics:\n" 420 std::cout <<
"Depth intrinsics:\n" 423 std::cout <<
"Depth intrinsics:\n" 426 std::cout <<
"Infrared intrinsics:\n" 429 std::cout <<
"Infrared intrinsics:\n" 433 std::cout <<
"depth_M_color:\n" << rs.
getTransformation(RS2_STREAM_COLOR, RS2_STREAM_DEPTH) << std::endl;
434 std::cout <<
"color_M_infrared:\n" << rs.
getTransformation(RS2_STREAM_INFRARED, RS2_STREAM_COLOR) << std::endl;
443 std::lock_guard<std::mutex> lock(mutex);
446 rs.
acquire((
unsigned char *)color.bitmap, (
unsigned char *)depth_raw.bitmap, NULL, pointcloud_color,
447 (
unsigned char *)infrared.bitmap);
449 rs.
acquire((
unsigned char *)color.bitmap, (
unsigned char *)depth_raw.bitmap, NULL, pointcloud,
450 (
unsigned char *)infrared.bitmap);
453 update_pointcloud =
true;
456 rs.
acquire((
unsigned char *)color.bitmap, (
unsigned char *)depth_raw.bitmap, NULL,
457 (
unsigned char *)infrared.bitmap);
479 std::lock_guard<std::mutex> lock(mutex);
483 viewer_thread.join();
487 d2.
close(depth_color);
489 std::cout <<
"Acquisition2 - Mean time: " <<
vpMath::getMean(time_vector)
490 <<
" ms ; Median time: " <<
vpMath::getMedian(time_vector) <<
" ms" << std::endl;
492 #if VISP_HAVE_OPENCV_VERSION >= 0x030000 494 config.disable_all_streams();
495 config.enable_stream(RS2_STREAM_COLOR, 640, 480, RS2_FORMAT_BGR8, 60);
496 config.enable_stream(RS2_STREAM_DEPTH, 640, 480, RS2_FORMAT_Z16, 60);
497 config.enable_stream(RS2_STREAM_INFRARED, 640, 480, RS2_FORMAT_Y8, 60);
500 color_profile = profile.get_stream(RS2_STREAM_COLOR).as<rs2::video_stream_profile>();
501 cv::Mat mat_color(color_profile.height(), color_profile.width(), CV_8UC3);
503 depth_profile = profile.get_stream(RS2_STREAM_DEPTH).as<rs2::video_stream_profile>();
504 cv::Mat mat_depth(depth_profile.height(), depth_profile.width(), CV_8UC3);
505 rs2::colorizer color_map;
507 infrared_profile = profile.get_stream(RS2_STREAM_INFRARED).as<rs2::video_stream_profile>();
508 cv::Mat mat_infrared(infrared_profile.height(), infrared_profile.width(), CV_8U);
515 auto data = pipe.wait_for_frames();
516 frame_to_mat(data.get_color_frame(), mat_color);
517 #if (RS2_API_VERSION >= ((2 * 10000) + (16 * 100) + 0)) 518 frame_to_mat(data.get_depth_frame().apply_filter(color_map), mat_depth);
520 frame_to_mat(color_map(data.get_depth_frame()), mat_depth);
522 frame_to_mat(data.first(RS2_STREAM_INFRARED), mat_infrared);
524 cv::imshow(
"OpenCV color", mat_color);
525 cv::imshow(
"OpenCV depth", mat_depth);
526 cv::imshow(
"OpenCV infrared", mat_infrared);
529 if (cv::waitKey(10) == 27)
533 std::cout <<
"Acquisition3 - Mean time: " <<
vpMath::getMean(time_vector)
534 <<
" ms ; Median time: " <<
vpMath::getMedian(time_vector) <<
" ms" << std::endl;
540 ViewerWorker viewer_colvector2(
false, mutex);
541 std::thread viewer_colvector_thread2(&ViewerWorker::run, &viewer_colvector2);
545 config.disable_all_streams();
546 config.enable_stream(RS2_STREAM_COLOR, 640, 480, RS2_FORMAT_RGBA8, 60);
547 config.enable_stream(RS2_STREAM_DEPTH, 640, 480, RS2_FORMAT_Z16, 60);
548 config.enable_stream(RS2_STREAM_INFRARED, 640, 480, RS2_FORMAT_Y8, 60);
555 rs.
acquire(NULL, NULL, &pointcloud_colvector, NULL, NULL);
558 std::lock_guard<std::mutex> lock(mutex);
559 pointcloud->width = 640;
560 pointcloud->height = 480;
561 pointcloud->points.resize(pointcloud_colvector.size());
562 for (
size_t i = 0; i < pointcloud_colvector.size(); i++) {
563 pointcloud->points[(size_t)i].x = pointcloud_colvector[i][0];
564 pointcloud->points[(size_t)i].y = pointcloud_colvector[i][1];
565 pointcloud->points[(size_t)i].z = pointcloud_colvector[i][2];
568 update_pointcloud =
true;
576 std::lock_guard<std::mutex> lock(mutex);
580 viewer_colvector_thread2.join();
582 std::cout <<
"Acquisition4 - Mean time: " <<
vpMath::getMean(time_vector)
583 <<
" ms ; Median time: " <<
vpMath::getMedian(time_vector) <<
" ms" << std::endl;
592 #if !defined(VISP_HAVE_REALSENSE2) 593 std::cout <<
"Install librealsense2 to make this test work." << std::endl;
595 #if !defined(VISP_HAVE_CPP11_COMPATIBILITY) 596 std::cout <<
"Build ViSP with C++11 compiler flag (cmake -DUSE_CPP11=ON) " 597 "to make this test work" 600 #if !defined(VISP_HAVE_X11) && !defined(VISP_HAVE_GDI) 601 std::cout <<
"X11 or GDI are needed." << std::endl;
VISP_EXPORT int wait(double t0, double t)
rs2::pipeline_profile & getPipelineProfile()
Get a reference to rs2::pipeline_profile.
static bool getClick(const vpImage< unsigned char > &I, bool blocking=true)
static void close(vpImage< unsigned char > &I)
static void convert(const vpImage< unsigned char > &src, vpImage< vpRGBa > &dest)
static double getMedian(const std::vector< double > &v)
Display for windows using GDI (available on any windows 32 platform).
static void displayText(const vpImage< unsigned char > &I, const vpImagePoint &ip, const std::string &s, const vpColor &color)
Use the X11 console to display images on unix-like OS. Thus to enable this class X11 should be instal...
void open(const rs2::config &cfg=rs2::config())
static void flush(const vpImage< unsigned char > &I)
vpCameraParameters getCameraParameters(const rs2_stream &stream, vpCameraParameters::vpCameraParametersProjType type=vpCameraParameters::perspectiveProjWithDistortion) const
VISP_EXPORT double measureTimeMs()
VISP_EXPORT std::string getDateTime(const std::string &format="%Y/%m/%d %H:%M:%S")
static double getMean(const std::vector< double > &v)
static void display(const vpImage< unsigned char > &I)
void acquire(vpImage< unsigned char > &grey)
rs2::pipeline & getPipeline()
Get a reference to rs2::pipeline.
vpHomogeneousMatrix getTransformation(const rs2_stream &from, const rs2_stream &to) const
Implementation of column vector and the associated operations.
void init(vpImage< unsigned char > &I, int winx=-1, int winy=-1, const std::string &title="")
static void createDepthHistogram(const vpImage< uint16_t > &src_depth, vpImage< vpRGBa > &dest_rgba)