mirror of https://github.com/AlexeyAB/darknet.git
OpenCV 2.x, 3.x, 4.x are supported
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5a094da200
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42a4081e94
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@ -54,14 +54,20 @@ using std::endl;
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#endif // USE_CMAKE_LIBS
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#endif // CV_VERSION_EPOCH
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#include "http_stream.h"
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#ifndef CV_RGB
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#define CV_RGB(r, g, b) cvScalar( (b), (g), (r), 0 )
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#endif
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#ifndef CV_FILLED
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#define CV_FILLED cv::FILLED
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#endif
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#ifndef CV_AA
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#define CV_AA cv::LINE_AA
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#endif
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extern "C" {
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struct mat_cv : cv::Mat { int a[0]; };
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@ -75,8 +81,8 @@ extern "C" {
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cv::Mat image_to_mat(image img);
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image ipl_to_image(mat_cv* src);
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mat_cv *image_to_ipl(image img);
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cv::Mat ipl_to_mat(IplImage *ipl);
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IplImage *mat_to_ipl(cv::Mat mat);
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// cv::Mat ipl_to_mat(IplImage *ipl);
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// IplImage *mat_to_ipl(cv::Mat mat);
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mat_cv *load_image_mat_cv(const char *filename, int flag)
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@ -222,11 +228,11 @@ void release_ipl(mat_cv **ipl)
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*ipl_img = NULL;
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}
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// ----------------------------------------
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*/
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// ====================================================================
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// image-to-ipl, ipl-to-image, image_to_mat, mat_to_image
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// ====================================================================
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/*
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mat_cv *image_to_ipl(image im)
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{
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int x, y, c;
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@ -265,7 +271,7 @@ image ipl_to_image(mat_cv* src_ptr)
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return im;
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}
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// ----------------------------------------
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*/
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cv::Mat ipl_to_mat(IplImage *ipl)
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{
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Mat m = cvarrToMat(ipl, true);
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@ -280,6 +286,7 @@ IplImage *mat_to_ipl(cv::Mat mat)
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return ipl;
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}
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// ----------------------------------------
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*/
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Mat image_to_mat(image img)
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{
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@ -335,8 +342,11 @@ void create_window_cv(char const* window_name, int full_screen, int width, int h
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{
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try {
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int window_type = cv::WINDOW_NORMAL;
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#ifdef CV_VERSION_EPOCH // OpenCV 2.x
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if (full_screen) window_type = CV_WINDOW_FULLSCREEN;
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#else
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if (full_screen) window_type = cv::WINDOW_FULLSCREEN;
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#endif
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cv::namedWindow(window_name, window_type);
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cv::moveWindow(window_name, 0, 0);
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cv::resizeWindow(window_name, width, height);
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@ -381,7 +391,11 @@ void make_window(char *name, int w, int h, int fullscreen)
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try {
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cv::namedWindow(name, WINDOW_NORMAL);
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if (fullscreen) {
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#ifdef CV_VERSION_EPOCH // OpenCV 2.x
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cv::setWindowProperty(name, WND_PROP_FULLSCREEN, CV_WINDOW_FULLSCREEN);
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#else
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cv::setWindowProperty(name, WND_PROP_FULLSCREEN, cv::WINDOW_FULLSCREEN);
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#endif
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}
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else {
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cv::resizeWindow(name, w, h);
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@ -419,6 +433,7 @@ void show_image_cv(image p, const char *name)
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}
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// ----------------------------------------
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/*
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void show_image_cv_ipl(mat_cv *disp, const char *name)
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{
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if (disp == NULL) return;
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@ -428,6 +443,7 @@ void show_image_cv_ipl(mat_cv *disp, const char *name)
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cvShowImage(buff, disp);
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}
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// ----------------------------------------
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*/
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void show_image_mat(mat_cv *mat_ptr, const char *name)
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{
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@ -574,18 +590,13 @@ void release_capture(cap_cv* cap)
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// ----------------------------------------
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mat_cv* get_capture_frame_cv(cap_cv *cap) {
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//IplImage* src = NULL;
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cv::Mat *mat = new cv::Mat();
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try {
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if (cap) {
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cv::VideoCapture &cpp_cap = *(cv::VideoCapture *)cap;
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//cv::Mat frame;
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if (cpp_cap.isOpened())
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{
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cpp_cap >> *mat;
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//cpp_cap >> frame;
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//IplImage tmp = frame;
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//src = cvCloneImage(&tmp);
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}
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else std::cout << " Video-stream stopped! \n";
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}
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@ -684,7 +695,6 @@ int set_capture_position_frame_cv(cap_cv *cap, int index)
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image get_image_from_stream_cpp(cap_cv *cap)
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{
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//IplImage* src = NULL;
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cv::Mat *src = new cv::Mat();
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static int once = 1;
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if (once) {
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@ -699,7 +709,7 @@ image get_image_from_stream_cpp(cap_cv *cap)
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src = get_capture_frame_cv(cap);
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if (!src) return make_empty_image(0, 0, 0);
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image im = mat_to_image(*src);// ipl_to_image((mat_cv*)src);
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image im = mat_to_image(*src);
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rgbgr_image(im);
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return im;
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}
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@ -762,7 +772,6 @@ image get_image_from_stream_resize(cap_cv *cap, int w, int h, int c, mat_cv** in
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image get_image_from_stream_letterbox(cap_cv *cap, int w, int h, int c, mat_cv** in_img, int dont_close)
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{
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c = c ? c : 3;
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//IplImage* src;
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cv::Mat *src = NULL;
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static int once = 1;
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if (once) {
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@ -818,24 +827,19 @@ void save_mat_jpg(cv::Mat img_src, const char *name)
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void save_cv_png(mat_cv *img_src, const char *name)
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{
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IplImage* img = (IplImage* )img_src;
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IplImage* img_rgb = cvCreateImage(cvSize(img->width, img->height), 8, 3);
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cvCvtColor(img, img_rgb, cv::COLOR_RGB2BGR);
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stbi_write_png(name, img_rgb->width, img_rgb->height, 3, (char *)img_rgb->imageData, 0);
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cvRelease((void**)&img_rgb);
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cv::Mat* img = (cv::Mat* )img_src;
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save_mat_png(*img, name);
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}
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// ----------------------------------------
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void save_cv_jpg(mat_cv *img_src, const char *name)
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{
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IplImage* img = (IplImage*)img_src;
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IplImage* img_rgb = cvCreateImage(cvSize(img->width, img->height), 8, 3);
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cvCvtColor(img, img_rgb, cv::COLOR_RGB2BGR);
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stbi_write_jpg(name, img_rgb->width, img_rgb->height, 3, (char *)img_rgb->imageData, 80);
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cvRelease((void**)&img_rgb);
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cv::Mat* img = (cv::Mat*)img_src;
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save_mat_jpg(*img, name);
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}
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// ----------------------------------------
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// ====================================================================
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// Draw Detection
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// ====================================================================
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@ -916,7 +920,7 @@ void draw_detections_cv_v3(mat_cv* mat, detection *dets, int num, float thresh,
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float const font_size = show_img->rows / 1000.F;
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cv::Size const text_size = cv::getTextSize(labelstr, cv::FONT_HERSHEY_COMPLEX_SMALL, font_size, 1, 0);
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CvPoint pt1, pt2, pt_text, pt_text_bg1, pt_text_bg2;
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cv::Point pt1, pt2, pt_text, pt_text_bg1, pt_text_bg2;
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pt1.x = left;
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pt1.y = top;
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pt2.x = right;
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@ -928,7 +932,7 @@ void draw_detections_cv_v3(mat_cv* mat, detection *dets, int num, float thresh,
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pt_text_bg2.x = right;
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if ((right - left) < text_size.width) pt_text_bg2.x = left + text_size.width;
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pt_text_bg2.y = top;
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CvScalar color;
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cv::Scalar color;
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color.val[0] = red * 256;
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color.val[1] = green * 256;
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color.val[2] = blue * 256;
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@ -1009,12 +1013,12 @@ mat_cv* draw_train_chart(float max_img_loss, int max_batches, int number_of_line
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}
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}
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cv::putText(img, "Loss", cvPoint(0, 35), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(0, 0, 0), 1, CV_AA);
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cv::putText(img, "Iteration number", cvPoint(draw_size / 2, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(0, 0, 0), 1, CV_AA);
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cv::putText(img, "Loss", cv::Point(0, 35), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(0, 0, 0), 1, CV_AA);
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cv::putText(img, "Iteration number", cv::Point(draw_size / 2, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(0, 0, 0), 1, CV_AA);
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char max_batches_buff[100];
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sprintf(max_batches_buff, "in cfg max_batches=%d", max_batches);
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cv::putText(img, max_batches_buff, cvPoint(draw_size - 195, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(0, 0, 0), 1, CV_AA);
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cv::putText(img, "Press 's' to save : chart.png", cvPoint(5, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(0, 0, 0), 1, CV_AA);
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cv::putText(img, max_batches_buff, cv::Point(draw_size - 195, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(0, 0, 0), 1, CV_AA);
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cv::putText(img, "Press 's' to save : chart.png", cv::Point(5, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(0, 0, 0), 1, CV_AA);
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if (!dont_show) {
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printf(" If error occurs - run training with flag: -dont_show \n");
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cv::namedWindow("average loss", cv::WINDOW_NORMAL);
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@ -1034,7 +1038,7 @@ void draw_train_loss(mat_cv* img_src, int img_size, float avg_loss, float max_im
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int img_offset = 50;
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int draw_size = img_size - img_offset;
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char char_buff[100];
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CvPoint pt1, pt2;
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cv::Point pt1, pt2;
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pt1.x = img_offset + draw_size * (float)current_batch / max_batches;
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pt1.y = draw_size * (1 - avg_loss / max_img_loss);
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if (pt1.y < 0) pt1.y = 1;
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@ -1046,19 +1050,19 @@ void draw_train_loss(mat_cv* img_src, int img_size, float avg_loss, float max_im
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static int iteration_old = 0;
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static int text_iteration_old = 0;
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if (iteration_old == 0)
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cv::putText(img, accuracy_name, cvPoint(0, 12), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(255, 0, 0), 1, CV_AA);
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cv::putText(img, accuracy_name, cv::Point(0, 12), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(255, 0, 0), 1, CV_AA);
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cv::line(img,
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cvPoint(img_offset + draw_size * (float)iteration_old / max_batches, draw_size * (1 - old_precision)),
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cvPoint(img_offset + draw_size * (float)current_batch / max_batches, draw_size * (1 - precision)),
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cv::Point(img_offset + draw_size * (float)iteration_old / max_batches, draw_size * (1 - old_precision)),
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cv::Point(img_offset + draw_size * (float)current_batch / max_batches, draw_size * (1 - precision)),
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CV_RGB(255, 0, 0), 1, 8, 0);
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if (((int)(old_precision * 10) != (int)(precision * 10)) || (current_batch - text_iteration_old) >= max_batches / 10) {
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text_iteration_old = current_batch;
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sprintf(char_buff, "%2.0f%% ", precision * 100);
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cv::putText(img, char_buff, cvPoint(pt1.x - 30, draw_size * (1 - precision) + 15), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(255, 255, 255), 5, CV_AA);
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cv::putText(img, char_buff, cv::Point(pt1.x - 30, draw_size * (1 - precision) + 15), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(255, 255, 255), 5, CV_AA);
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cv::putText(img, char_buff, cvPoint(pt1.x - 30, draw_size * (1 - precision) + 15), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(200, 0, 0), 1, CV_AA);
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cv::putText(img, char_buff, cv::Point(pt1.x - 30, draw_size * (1 - precision) + 15), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(200, 0, 0), 1, CV_AA);
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}
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old_precision = precision;
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iteration_old = current_batch;
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}
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if (k == 's' || current_batch == (max_batches - 1) || current_batch % 100 == 0) {
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save_mat_png(img, "chart.png");
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cv::putText(img, "- Saved", cvPoint(260, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(255, 0, 0), 1, CV_AA);
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cv::putText(img, "- Saved", cv::Point(260, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(255, 0, 0), 1, CV_AA);
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}
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else
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cv::putText(img, "- Saved", cvPoint(260, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(255, 255, 255), 1, CV_AA);
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cv::putText(img, "- Saved", cv::Point(260, img_size - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.7, CV_RGB(255, 255, 255), 1, CV_AA);
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if (mjpeg_port > 0) send_mjpeg((mat_cv *)&img, mjpeg_port, 500000, 100);
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}
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@ -1186,7 +1190,7 @@ void show_acnhors(int number_of_boxes, int num_of_clusters, float *rel_width_hei
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cv::Mat img = cv::Mat(img_size, img_size, CV_8UC3);
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for (int i = 0; i < number_of_boxes; ++i) {
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CvPoint pt;
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cv::Point pt;
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pt.x = points.at<float>(i, 0) * img_size / width;
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pt.y = points.at<float>(i, 1) * img_size / height;
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int cluster_idx = labels.at<int>(i, 0);
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}
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for (int j = 0; j < num_of_clusters; ++j) {
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CvPoint pt1, pt2;
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cv::Point pt1, pt2;
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pt1.x = pt1.y = 0;
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pt2.x = centers.at<float>(j, 0) * img_size / width;
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pt2.y = centers.at<float>(j, 1) * img_size / height;
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@ -48,7 +48,7 @@ int wait_key_cv(int delay);
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int wait_until_press_key_cv();
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void make_window(char *name, int w, int h, int fullscreen);
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void show_image_cv(image p, const char *name);
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void show_image_cv_ipl(mat_cv *disp, const char *name);
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//void show_image_cv_ipl(mat_cv *disp, const char *name);
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void show_image_mat(mat_cv *mat_ptr, const char *name);
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// Video Writer
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