| | |
| | | //int N = plist->size; |
| | | char **paths = (char **)list_to_array(plist); |
| | | |
| | | int init_w = net.w; |
| | | int init_h = net.h; |
| | | |
| | | load_args args = {0}; |
| | | args.w = net.w; |
| | | args.h = net.h; |
| | |
| | | while(get_current_batch(net) < net.max_batches){ |
| | | if(l.random && count++%10 == 0){ |
| | | printf("Resizing\n"); |
| | | int dim = (rand() % 10 + 10) * 32; |
| | | if (get_current_batch(net)+100 > net.max_batches) dim = 544; |
| | | int dim = (rand() % 12 + (init_w/32 - 5)) * 32; // +-160 |
| | | //int dim = (rand() % 10 + 10) * 32; |
| | | //if (get_current_batch(net)+100 > net.max_batches) dim = 544; |
| | | //int dim = (rand() % 4 + 16) * 32; |
| | | printf("%d\n", dim); |
| | | args.w = dim; |
| | |
| | | |
| | | i = get_current_batch(net); |
| | | printf("%d: %f, %f avg, %f rate, %lf seconds, %d images\n", get_current_batch(net), loss, avg_loss, get_current_rate(net), sec(clock()-time), i*imgs); |
| | | if (i % 1000 == 0 || (i < 1000 && i % 100 == 0)) { |
| | | //if (i % 1000 == 0 || (i < 1000 && i % 100 == 0)) { |
| | | if (i % 100 == 0) { |
| | | #ifdef GPU |
| | | if (ngpus != 1) sync_nets(nets, ngpus, 0); |
| | | #endif |
| | |
| | | state.truth = *net.truth_gpu; |
| | | state.train = 1; |
| | | forward_network_gpu(net, state); |
| | | cudaStreamSynchronize(get_cuda_stream()); |
| | | backward_network_gpu(net, state); |
| | | } |
| | | |
| | |
| | | free(cpu_state.input); |
| | | if(!state.train) return; |
| | | cuda_push_array(l.delta_gpu, l.delta, l.batch*l.outputs); |
| | | cudaStreamSynchronize(get_cuda_stream()); |
| | | if(cpu_state.truth) free(cpu_state.truth); |
| | | } |
| | | |
| | |
| | | auto current_image = det_image; |
| | | consumed = true; |
| | | while (current_image.use_count() > 0) { |
| | | auto result = detector.detect_resized(*current_image, frame_size, 0.24, false); // true |
| | | auto result = detector.detect_resized(*current_image, frame_size, 0.20, false); // true |
| | | ++fps_det_counter; |
| | | std::unique_lock<std::mutex> lock(mtx); |
| | | thread_result_vec = result; |
| | |
| | | } |
| | | } |
| | | |
| | | #ifndef TRACK_OPTFLOW |
| | | // wait detection result for video-file only (not for net-cam) |
| | | //if (protocol != "rtsp://" && protocol != "http://" && protocol != "https:/") { |
| | | // std::unique_lock<std::mutex> lock(mtx); |
| | | // while (!consumed) cv_detected.wait(lock); |
| | | //} |
| | | if (protocol != "rtsp://" && protocol != "http://" && protocol != "https:/") { |
| | | std::unique_lock<std::mutex> lock(mtx); |
| | | while (!consumed) cv_detected.wait(lock); |
| | | } |
| | | #endif |
| | | } |
| | | if (t_cap.joinable()) t_cap.join(); |
| | | if (t_detect.joinable()) t_detect.join(); |