pull/355/head
AlexeyAB 7 years ago
parent 5a2a567970
commit 54f83e1535
  1. 11
      src/detector.c
  2. 1
      src/network_kernels.cu
  3. 1
      src/region_layer.c
  4. 12
      src/yolo_console_dll.cpp

@ -70,6 +70,9 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
//int N = plist->size; //int N = plist->size;
char **paths = (char **)list_to_array(plist); char **paths = (char **)list_to_array(plist);
int init_w = net.w;
int init_h = net.h;
load_args args = {0}; load_args args = {0};
args.w = net.w; args.w = net.w;
args.h = net.h; args.h = net.h;
@ -95,8 +98,9 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
while(get_current_batch(net) < net.max_batches){ while(get_current_batch(net) < net.max_batches){
if(l.random && count++%10 == 0){ if(l.random && count++%10 == 0){
printf("Resizing\n"); printf("Resizing\n");
int dim = (rand() % 10 + 10) * 32; int dim = (rand() % 12 + (init_w/32 - 5)) * 32; // +-160
if (get_current_batch(net)+100 > net.max_batches) dim = 544; //int dim = (rand() % 10 + 10) * 32;
//if (get_current_batch(net)+100 > net.max_batches) dim = 544;
//int dim = (rand() % 4 + 16) * 32; //int dim = (rand() % 4 + 16) * 32;
printf("%d\n", dim); printf("%d\n", dim);
args.w = dim; args.w = dim;
@ -152,7 +156,8 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
i = get_current_batch(net); 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); 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 #ifdef GPU
if (ngpus != 1) sync_nets(nets, ngpus, 0); if (ngpus != 1) sync_nets(nets, ngpus, 0);
#endif #endif

@ -114,6 +114,7 @@ void forward_backward_network_gpu(network net, float *x, float *y)
state.truth = *net.truth_gpu; state.truth = *net.truth_gpu;
state.train = 1; state.train = 1;
forward_network_gpu(net, state); forward_network_gpu(net, state);
cudaStreamSynchronize(get_cuda_stream());
backward_network_gpu(net, state); backward_network_gpu(net, state);
} }

@ -419,6 +419,7 @@ void forward_region_layer_gpu(const region_layer l, network_state state)
free(cpu_state.input); free(cpu_state.input);
if(!state.train) return; if(!state.train) return;
cuda_push_array(l.delta_gpu, l.delta, l.batch*l.outputs); cuda_push_array(l.delta_gpu, l.delta, l.batch*l.outputs);
cudaStreamSynchronize(get_cuda_stream());
if(cpu_state.truth) free(cpu_state.truth); if(cpu_state.truth) free(cpu_state.truth);
} }

@ -194,7 +194,7 @@ int main(int argc, char *argv[])
auto current_image = det_image; auto current_image = det_image;
consumed = true; consumed = true;
while (current_image.use_count() > 0) { 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; ++fps_det_counter;
std::unique_lock<std::mutex> lock(mtx); std::unique_lock<std::mutex> lock(mtx);
thread_result_vec = result; thread_result_vec = result;
@ -236,11 +236,13 @@ int main(int argc, char *argv[])
} }
} }
#ifndef TRACK_OPTFLOW
// wait detection result for video-file only (not for net-cam) // wait detection result for video-file only (not for net-cam)
//if (protocol != "rtsp://" && protocol != "http://" && protocol != "https:/") { if (protocol != "rtsp://" && protocol != "http://" && protocol != "https:/") {
// std::unique_lock<std::mutex> lock(mtx); std::unique_lock<std::mutex> lock(mtx);
// while (!consumed) cv_detected.wait(lock); while (!consumed) cv_detected.wait(lock);
//} }
#endif
} }
if (t_cap.joinable()) t_cap.join(); if (t_cap.joinable()) t_cap.join();
if (t_detect.joinable()) t_detect.join(); if (t_detect.joinable()) t_detect.join();

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