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Converting couts to cerrs, to show them in the pre-filtered buildfarm…
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… outputs.
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ViktorWalter committed Feb 27, 2024
1 parent 9f9c4ed commit e01d46a
Showing 1 changed file with 17 additions and 17 deletions.
34 changes: 17 additions & 17 deletions include/detect/uv_led_detect_fast_gpu.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -128,37 +128,37 @@ uvdar::UVDARLedDetectFASTGPU::~UVDARLedDetectFASTGPU() {

bool uvdar::UVDARLedDetectFASTGPU::processImage(const cv::Mat i_image, std::vector<cv::Point2i>& detected_points, std::vector<cv::Point2i>& sun_points, int mask_id) {

std::cout << "[UVDARDetectorFASTGPU]: Starting processing..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Starting processing..." << std::endl;
detected_points = std::vector<cv::Point2i>();
sun_points = std::vector<cv::Point2i>();
image_curr_ = i_image;

std::cout << "[UVDARDetectorFASTGPU]: Checking if initialized..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Checking if initialized..." << std::endl;
if (!initialized_) {
image_size = i_image.size();
std::cerr << "[UVDARDetectorFASTGPU]: Initializing..." << std::endl;
init();
}
std::cout << "[UVDARDetectorFASTGPU]: Initialized." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Initialized." << std::endl;

std::cout << "[UVDARDetectorFASTGPU]: Checking mask index..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Checking mask index..." << std::endl;
if (mask_id >= (int)(masks_.size())) {
std::cerr << "[UVDARDetectorFASTGPU]: Mask index " << mask_id << " is greater than the current number of loaded masks!" << std::endl;
return false;
}
std::cout << "[UVDARDetectorFASTGPU]: Mask index is ok." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Mask index is ok." << std::endl;

std::cout << "[UVDARDetectorFASTGPU]: Checking mask size..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Checking mask size..." << std::endl;
if (mask_id >= 0){
if (image_curr_.size() != masks_[mask_id].size()) {
std::cerr << "[UVDARDetectorFASTGPU]: The size of the selected mask does not match the current image!" << std::endl;
return false;
}
}
std::cout << "[UVDARDetectorFASTGPU]: Checking mask size is ok." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Checking mask size is ok." << std::endl;

if (_gui_) {
std::cout << "[UVDARDetectorFASTGPU]: Copying to viewer image..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Copying to viewer image..." << std::endl;
(image_curr_).copyTo(image_view_);
}

Expand All @@ -167,37 +167,37 @@ bool uvdar::UVDARLedDetectFASTGPU::processImage(const cv::Mat i_image, std::vect
uint32_t sun_points_cnt_val;
uint32_t markers_cnt_val;

std::cout << "[UVDARDetectorFASTGPU]: Resetting atomic counter buffer objects..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Resetting atomic counter buffer objects..." << std::endl;
// reset atomic counter buffer objects
compute_lib_acbo_write_uint_val(&compute_prog, &markers_count_acbo, 0);
compute_lib_acbo_write_uint_val(&compute_prog, &sun_pts_count_acbo, 0);

std::cout << "[UVDARDetectorFASTGPU]: Writing data to GPU memory..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Writing data to GPU memory..." << std::endl;
// write input image data + mask data to GPU
compute_lib_image2d_write(&compute_prog, &texture_in, image_curr_.data);
compute_lib_image2d_write(&compute_prog, &mask, (mask_id>=0)?masks_[mask_id].data:nullptr);

std::cout << "[UVDARDetectorFASTGPU]: Dispatching shader..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Dispatching shader..." << std::endl;
// dispatch compute shader
compute_lib_program_dispatch(&compute_prog, image_size.width / local_size_x, image_size.height / local_size_y, 1);

std::cout << "[UVDARDetectorFASTGPU]: Retrieving detected markers..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Retrieving detected markers..." << std::endl;
// retrieve detected markers
compute_lib_acbo_read_uint_val(&compute_prog, &markers_count_acbo, &markers_cnt_val);
if (markers_cnt_val > max_markers_count) markers_cnt_val = max_markers_count;
if (markers_cnt_val > 0) compute_lib_ssbo_read(&compute_prog, &markers_ssbo, (void*) markers, markers_cnt_val);

std::cout << "[UVDARDetectorFASTGPU]: Retrieving detected sun points..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Retrieving detected sun points..." << std::endl;
// retrieve detected sun points
compute_lib_acbo_read_uint_val(&compute_prog, &sun_pts_count_acbo, &sun_points_cnt_val);
if (sun_points_cnt_val > max_sun_pts_count) sun_points_cnt_val = max_sun_pts_count;
if (sun_points_cnt_val > 0) compute_lib_ssbo_read(&compute_prog, &sun_pts_ssbo, (void*) sun_pts, sun_points_cnt_val);

std::cout << "[UVDARDetectorFASTGPU]: Finding centroids of detected markers..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Finding centroids of detected markers..." << std::endl;
// find centroids of concentrated detected markers
cpuFindMarkerCentroids(markers, markers_cnt_val, 5, detected_points);

std::cout << "[UVDARDetectorFASTGPU]: Converting sun points..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Converting sun points..." << std::endl;
for (uint32_t i = 0; i < sun_points_cnt_val; i++){
sun_points.push_back(cv::Point(sun_pts[i].x,sun_pts[i].y));
}
Expand All @@ -212,7 +212,7 @@ bool uvdar::UVDARLedDetectFASTGPU::processImage(const cv::Mat i_image, std::vect
/* std::cout << "Refined: " << p << std::endl; */
/* } */

std::cout << "[UVDARDetectorFASTGPU]: Filtering markers based on sun points..." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Filtering markers based on sun points..." << std::endl;
// filter markers using detected sun points
for (int i = 0; i < (int)(detected_points.size()); i++) { //iterate over the detected marker points
for (int j = 0; j < (int)(sun_points.size()); j++) { //iterate over the detected sun points
Expand All @@ -224,7 +224,7 @@ bool uvdar::UVDARLedDetectFASTGPU::processImage(const cv::Mat i_image, std::vect
}
}

std::cout << "[UVDARDetectorFASTGPU]: Done." << std::endl;
std::cerr << "[UVDARDetectorFASTGPU]: Done." << std::endl;
return true;
}

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