From 6d56c38e8bcb9041335b03f27c192c24dfaedb1c Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 28 Mar 2018 23:39:28 +0000
Subject: [PATCH] Merge branch 'master' of github.com:AlexeyAB/darknet
---
src/yolo_v2_class.cpp | 50 +++++++++++++++++++++++++-------------------------
1 files changed, 25 insertions(+), 25 deletions(-)
diff --git a/src/yolo_v2_class.cpp b/src/yolo_v2_class.cpp
index 1a5ccac..076bab8 100644
--- a/src/yolo_v2_class.cpp
+++ b/src/yolo_v2_class.cpp
@@ -22,7 +22,16 @@
#define FRAMES 3
-struct detector_gpu_t{
+#ifdef GPU
+void check_cuda(cudaError_t status) {
+ if (status != cudaSuccess) {
+ const char *s = cudaGetErrorString(status);
+ printf("CUDA Error Prev: %s\n", s);
+ }
+}
+#endif
+
+struct detector_gpu_t {
float **probs;
box *boxes;
network net;
@@ -33,34 +42,24 @@
unsigned int *track_id;
};
-#ifdef OPENCV
-cv::Scalar obj_id_to_color(int obj_id)
-{
- int const colors[6][3] = { { 1,0,1 },{ 0,0,1 },{ 0,1,1 },{ 0,1,0 },{ 1,1,0 },{ 1,0,0 } };
- int const offset = obj_id * 123457 % 6;
- int const color_scale = 150 + (obj_id * 123457) % 100;
- cv::Scalar color(colors[offset][0], colors[offset][1], colors[offset][2]);
- color *= color_scale;
- return color;
-}
-#endif
-
YOLODLL_API Detector::Detector(std::string cfg_filename, std::string weight_filename, int gpu_id) : cur_gpu_id(gpu_id)
{
wait_stream = 0;
int old_gpu_index;
#ifdef GPU
- cudaGetDevice(&old_gpu_index);
+ check_cuda( cudaGetDevice(&old_gpu_index) );
#endif
detector_gpu_ptr = std::make_shared<detector_gpu_t>();
- detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
+ detector_gpu_t &detector_gpu = *static_cast<detector_gpu_t *>(detector_gpu_ptr.get());
#ifdef GPU
- cudaSetDevice(gpu_id);
+ //check_cuda( cudaSetDevice(cur_gpu_id) );
+ cuda_set_device(cur_gpu_id);
+ printf(" Used GPU %d \n", cur_gpu_id);
#endif
network &net = detector_gpu.net;
- net.gpu_index = gpu_id;
+ net.gpu_index = cur_gpu_id;
//gpu_index = i;
char *cfgfile = const_cast<char *>(cfg_filename.data());
@@ -71,7 +70,7 @@
load_weights(&net, weightfile);
}
set_batch_network(&net, 1);
- net.gpu_index = gpu_id;
+ net.gpu_index = cur_gpu_id;
layer l = net.layers[net.n - 1];
int j;
@@ -88,14 +87,14 @@
for (j = 0; j < l.classes; ++j) detector_gpu.track_id[j] = 1;
#ifdef GPU
- cudaSetDevice(old_gpu_index);
+ check_cuda( cudaSetDevice(old_gpu_index) );
#endif
}
YOLODLL_API Detector::~Detector()
{
- detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
+ detector_gpu_t &detector_gpu = *static_cast<detector_gpu_t *>(detector_gpu_ptr.get());
layer l = detector_gpu.net.layers[detector_gpu.net.n - 1];
free(detector_gpu.track_id);
@@ -111,7 +110,8 @@
int old_gpu_index;
#ifdef GPU
cudaGetDevice(&old_gpu_index);
- cudaSetDevice(detector_gpu.net.gpu_index);
+ //cudaSetDevice(detector_gpu.net.gpu_index);
+ cuda_set_device(detector_gpu.net.gpu_index);
#endif
free_network(detector_gpu.net);
@@ -122,11 +122,11 @@
}
YOLODLL_API int Detector::get_net_width() const {
- detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
+ detector_gpu_t &detector_gpu = *static_cast<detector_gpu_t *>(detector_gpu_ptr.get());
return detector_gpu.net.w;
}
YOLODLL_API int Detector::get_net_height() const {
- detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
+ detector_gpu_t &detector_gpu = *static_cast<detector_gpu_t *>(detector_gpu_ptr.get());
return detector_gpu.net.h;
}
@@ -184,7 +184,7 @@
YOLODLL_API std::vector<bbox_t> Detector::detect(image_t img, float thresh, bool use_mean)
{
- detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
+ detector_gpu_t &detector_gpu = *static_cast<detector_gpu_t *>(detector_gpu_ptr.get());
network &net = detector_gpu.net;
int old_gpu_index;
#ifdef GPU
@@ -266,7 +266,7 @@
YOLODLL_API std::vector<bbox_t> Detector::tracking_id(std::vector<bbox_t> cur_bbox_vec, bool const change_history,
int const frames_story, int const max_dist)
{
- detector_gpu_t &det_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
+ detector_gpu_t &det_gpu = *static_cast<detector_gpu_t *>(detector_gpu_ptr.get());
bool prev_track_id_present = false;
for (auto &i : prev_bbox_vec_deque)
--
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