| | |
| | | #include "opencv2/core/version.hpp" |
| | | #ifndef CV_VERSION_EPOCH |
| | | #include "opencv2/videoio/videoio_c.h" |
| | | #include "opencv2/imgcodecs/imgcodecs_c.h" |
| | | #endif |
| | | #endif |
| | | |
| | |
| | | float prob = probs[i][class]; |
| | | if(prob > thresh){ |
| | | |
| | | //// for comparison with OpenCV version of DNN Darknet Yolo v2 |
| | | //printf("\n %f, %f, %f, %f, ", boxes[i].x, boxes[i].y, boxes[i].w, boxes[i].h); |
| | | // int k; |
| | | //for (k = 0; k < classes; ++k) { |
| | | // printf("%f, ", probs[i][k]); |
| | | //} |
| | | //printf("\n"); |
| | | |
| | | int width = im.h * .012; |
| | | |
| | | if(0){ |
| | |
| | | color.val[2] = blue * 256; |
| | | |
| | | cvRectangle(show_img, pt1, pt2, color, width, 8, 0); |
| | | |
| | | //printf("left=%d, right=%d, top=%d, bottom=%d, obj_id=%d, obj=%s \n", left, right, top, bot, class, names[class]); |
| | | cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, width, 8, 0); |
| | | cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, CV_FILLED, 8, 0); // filled |
| | | CvScalar black_color; |
| | |
| | | //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('H', '2', '6', '4'), 25, size, 1); |
| | | output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('D', 'I', 'V', 'X'), 25, size, 1); |
| | | //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('M', 'J', 'P', 'G'), 25, size, 1); |
| | | //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('M', 'P', '4', 'V'), 25, size, 1); |
| | | //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('M', 'P', '4', '2'), 25, size, 1); |
| | | //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('X', 'V', 'I', 'D'), 25, size, 1); |
| | | //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('W', 'M', 'V', '2'), 25, size, 1); |
| | | } |
| | | |
| | | cvWriteFrame(output_video, disp); // comment this line to improve FPS !!! |
| | |
| | | #endif |
| | | } |
| | | |
| | | void fill_image(image m, float s) |
| | | { |
| | | int i; |
| | | for (i = 0; i < m.h*m.w*m.c; ++i) m.data[i] = s; |
| | | } |
| | | |
| | | void letterbox_image_into(image im, int w, int h, image boxed) |
| | | { |
| | | int new_w = im.w; |
| | | int new_h = im.h; |
| | | if (((float)w / im.w) < ((float)h / im.h)) { |
| | | new_w = w; |
| | | new_h = (im.h * w) / im.w; |
| | | } |
| | | else { |
| | | new_h = h; |
| | | new_w = (im.w * h) / im.h; |
| | | } |
| | | image resized = resize_image(im, new_w, new_h); |
| | | embed_image(resized, boxed, (w - new_w) / 2, (h - new_h) / 2); |
| | | free_image(resized); |
| | | } |
| | | |
| | | image letterbox_image(image im, int w, int h) |
| | | { |
| | | int new_w = im.w; |
| | | int new_h = im.h; |
| | | if (((float)w / im.w) < ((float)h / im.h)) { |
| | | new_w = w; |
| | | new_h = (im.h * w) / im.w; |
| | | } |
| | | else { |
| | | new_h = h; |
| | | new_w = (im.w * h) / im.h; |
| | | } |
| | | image resized = resize_image(im, new_w, new_h); |
| | | image boxed = make_image(w, h, im.c); |
| | | fill_image(boxed, .5); |
| | | //int i; |
| | | //for(i = 0; i < boxed.w*boxed.h*boxed.c; ++i) boxed.data[i] = 0; |
| | | embed_image(resized, boxed, (w - new_w) / 2, (h - new_h) / 2); |
| | | free_image(resized); |
| | | return boxed; |
| | | } |
| | | |
| | | image resize_max(image im, int max) |
| | | { |
| | | int w = im.w; |
| | |
| | | #ifdef OPENCV |
| | | |
| | | #ifndef CV_VERSION_EPOCH |
| | | image out = load_image_stb(filename, c); // OpenCV 3.x |
| | | //image out = load_image_stb(filename, c); // OpenCV 3.x |
| | | image out = load_image_cv(filename, c); |
| | | #else |
| | | image out = load_image_cv(filename, c); // OpenCV 2.4.x |
| | | #endif |