| | |
| | | int i; |
| | | |
| | | for(i = 0; i < num; ++i){ |
| | | int class = max_index(probs[i], classes); |
| | | float prob = probs[i][class]; |
| | | int class_id = max_index(probs[i], classes); |
| | | float prob = probs[i][class_id]; |
| | | if(prob > thresh){ |
| | | |
| | | //// for comparison with OpenCV version of DNN Darknet Yolo v2 |
| | |
| | | alphabet = 0; |
| | | } |
| | | |
| | | printf("%s: %.0f%%\n", names[class], prob*100); |
| | | int offset = class*123457 % classes; |
| | | int offset = class_id*123457 % classes; |
| | | float red = get_color(2,offset,classes); |
| | | float green = get_color(1,offset,classes); |
| | | float blue = get_color(0,offset,classes); |
| | |
| | | if(right > im.w-1) right = im.w-1; |
| | | if(top < 0) top = 0; |
| | | if(bot > im.h-1) bot = im.h-1; |
| | | printf("%s: %.0f%%", names[class_id], prob * 100); |
| | | |
| | | //printf(" - id: %d, x_center: %d, y_center: %d, width: %d, height: %d", |
| | | // class_id, (right + left) / 2, (bot - top) / 2, right - left, bot - top); |
| | | |
| | | printf("\n"); |
| | | draw_box_width(im, left, top, right, bot, width, red, green, blue); |
| | | if (alphabet) { |
| | | image label = get_label(alphabet, names[class], (im.h*.03)/10); |
| | | image label = get_label(alphabet, names[class_id], (im.h*.03)/10); |
| | | draw_label(im, top + width, left, label, rgb); |
| | | } |
| | | } |
| | |
| | | int i; |
| | | |
| | | for (i = 0; i < num; ++i) { |
| | | int class = max_index(probs[i], classes); |
| | | float prob = probs[i][class]; |
| | | int class_id = max_index(probs[i], classes); |
| | | float prob = probs[i][class_id]; |
| | | if (prob > thresh) { |
| | | |
| | | int width = show_img->height * .012; |
| | |
| | | alphabet = 0; |
| | | } |
| | | |
| | | printf("%s: %.0f%%\n", names[class], prob * 100); |
| | | int offset = class * 123457 % classes; |
| | | printf("%s: %.0f%%\n", names[class_id], prob * 100); |
| | | int offset = class_id * 123457 % classes; |
| | | float red = get_color(2, offset, classes); |
| | | float green = get_color(1, offset, classes); |
| | | float blue = get_color(0, offset, classes); |
| | |
| | | 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]); |
| | | //printf("left=%d, right=%d, top=%d, bottom=%d, obj_id=%d, obj=%s \n", left, right, top, bot, class_id, names[class_id]); |
| | | 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; |
| | | black_color.val[0] = 0; |
| | | CvFont font; |
| | | cvInitFont(&font, CV_FONT_HERSHEY_SIMPLEX, font_size, font_size, 0, font_size * 3, 8); |
| | | cvPutText(show_img, names[class], pt_text, &font, black_color); |
| | | cvPutText(show_img, names[class_id], pt_text, &font, black_color); |
| | | } |
| | | } |
| | | } |
| | | #endif |
| | | |
| | | IplImage* draw_train_chart(float max_img_loss, int max_batches, int number_of_lines, int img_size) |
| | | { |
| | | int img_offset = 50; |
| | | int draw_size = img_size - img_offset; |
| | | IplImage* img = cvCreateImage(cvSize(img_size, img_size), 8, 3); |
| | | cvSet(img, CV_RGB(255, 255, 255), 0); |
| | | CvPoint pt1, pt2, pt_text; |
| | | CvFont font; |
| | | cvInitFont(&font, CV_FONT_HERSHEY_COMPLEX_SMALL, 0.7, 0.7, 0, 1, CV_AA); |
| | | char char_buff[100]; |
| | | int i; |
| | | // vertical lines |
| | | pt1.x = img_offset; pt2.x = img_size, pt_text.x = 10; |
| | | for (i = 1; i <= number_of_lines; ++i) { |
| | | pt1.y = pt2.y = (float)i * draw_size / number_of_lines; |
| | | cvLine(img, pt1, pt2, CV_RGB(224, 224, 224), 1, 8, 0); |
| | | if (i % 10 == 0) { |
| | | sprintf(char_buff, "%2.1f", max_img_loss*(number_of_lines - i) / number_of_lines); |
| | | pt_text.y = pt1.y + 5; |
| | | cvPutText(img, char_buff, pt_text, &font, CV_RGB(0, 0, 0)); |
| | | cvLine(img, pt1, pt2, CV_RGB(128, 128, 128), 1, 8, 0); |
| | | } |
| | | } |
| | | // horizontal lines |
| | | pt1.y = draw_size; pt2.y = 0, pt_text.y = draw_size + 15; |
| | | for (i = 0; i <= number_of_lines; ++i) { |
| | | pt1.x = pt2.x = img_offset + (float)i * draw_size / number_of_lines; |
| | | cvLine(img, pt1, pt2, CV_RGB(224, 224, 224), 1, 8, 0); |
| | | if (i % 10 == 0) { |
| | | sprintf(char_buff, "%d", max_batches * i / number_of_lines); |
| | | pt_text.x = pt1.x - 20; |
| | | cvPutText(img, char_buff, pt_text, &font, CV_RGB(0, 0, 0)); |
| | | cvLine(img, pt1, pt2, CV_RGB(128, 128, 128), 1, 8, 0); |
| | | } |
| | | } |
| | | cvPutText(img, "Iteration number", cvPoint(draw_size / 2, img_size - 10), &font, CV_RGB(0, 0, 0)); |
| | | cvPutText(img, "Press 's' to save: chart.jpg", cvPoint(5, img_size - 10), &font, CV_RGB(0, 0, 0)); |
| | | printf(" If error occurs - run training with flag: -dont_show \n"); |
| | | cvNamedWindow("average loss", CV_WINDOW_NORMAL); |
| | | cvMoveWindow("average loss", 0, 0); |
| | | cvResizeWindow("average loss", img_size, img_size); |
| | | cvShowImage("average loss", img); |
| | | cvWaitKey(20); |
| | | return img; |
| | | } |
| | | |
| | | void draw_train_loss(IplImage* img, int img_size, float avg_loss, float max_img_loss, int current_batch, int max_batches) |
| | | { |
| | | int img_offset = 50; |
| | | int draw_size = img_size - img_offset; |
| | | CvFont font; |
| | | cvInitFont(&font, CV_FONT_HERSHEY_COMPLEX_SMALL, 0.7, 0.7, 0, 1, CV_AA); |
| | | char char_buff[100]; |
| | | CvPoint pt1, pt2; |
| | | pt1.x = img_offset + draw_size * (float)current_batch / max_batches; |
| | | pt1.y = draw_size * (1 - avg_loss / max_img_loss); |
| | | if (pt1.y < 0) pt1.y = 1; |
| | | cvCircle(img, pt1, 1, CV_RGB(0, 0, 255), CV_FILLED, 8, 0); |
| | | |
| | | sprintf(char_buff, "current avg loss = %2.4f", avg_loss); |
| | | pt1.x = img_size / 2, pt1.y = 30; |
| | | pt2.x = pt1.x + 250, pt2.y = pt1.y + 20; |
| | | cvRectangle(img, pt1, pt2, CV_RGB(255, 255, 255), CV_FILLED, 8, 0); |
| | | pt1.y += 15; |
| | | cvPutText(img, char_buff, pt1, &font, CV_RGB(0, 0, 0)); |
| | | cvShowImage("average loss", img); |
| | | int k = cvWaitKey(20); |
| | | if (k == 's') cvSaveImage("chart.jpg", img, 0); |
| | | } |
| | | #endif // OPENCV |
| | | |
| | | void transpose_image(image im) |
| | | { |
| | |
| | | } |
| | | |
| | | |
| | | void show_image_cv_ipl(IplImage *disp, const char *name, CvVideoWriter *output_video_writer, int http_stream_port) |
| | | void show_image_cv_ipl(IplImage *disp, const char *name) |
| | | { |
| | | if (disp == NULL) return; |
| | | char buff[256]; |
| | |
| | | //cvMoveWindow(buff, 100*(windows%10) + 200*(windows/10), 100*(windows%10)); |
| | | ++windows; |
| | | cvShowImage(buff, disp); |
| | | |
| | | |
| | | // http mjpeg stream: http://localhost:8090 |
| | | // use URL with the port number stated in your command line instead of 8090 |
| | | if (http_stream_port > 0) { |
| | | //int port = 8090; |
| | | int port = http_stream_port; |
| | | int timeout = 200; |
| | | int jpeg_quality = 30; // 1 - 100 |
| | | send_mjpeg(disp, port, timeout, jpeg_quality); |
| | | } |
| | | |
| | | if(output_video_writer) { |
| | | cvWriteFrame(output_video_writer, disp); // comment this line to improve FPS !!! |
| | | printf("\n cvWriteFrame \n"); |
| | | } |
| | | |
| | | cvReleaseImage(&disp); |
| | | //cvReleaseImage(&disp); |
| | | } |
| | | #endif |
| | | |