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Merge pull request AlexeyAB#398 from HowardStark/master
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CPU implementation of Tracker_optflow
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AlexeyAB authored Feb 19, 2018
2 parents 4a7a076 + d8b59fc commit 5f74aeb
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Showing 3 changed files with 130 additions and 2 deletions.
5 changes: 5 additions & 0 deletions .gitignore
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Expand Up @@ -3,6 +3,7 @@
*.csv
*.out
*.png
*.so
mnist/
data/
caffe/
Expand All @@ -22,3 +23,7 @@ ehthumbs.db
Icon?
Thumbs.db
*.swp

# CMake #
cmake-build-debug/
CMakeLists.txt
1 change: 0 additions & 1 deletion src/yolo_v2_class.cpp
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Expand Up @@ -33,7 +33,6 @@ struct detector_gpu_t{
unsigned int *track_id;
};


YOLODLL_API Detector::Detector(std::string cfg_filename, std::string weight_filename, int gpu_id) : cur_gpu_id(gpu_id)
{
wait_stream = 0;
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126 changes: 125 additions & 1 deletion src/yolo_v2_class.hpp
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Expand Up @@ -145,7 +145,7 @@ class Detector {



#if defined(TRACK_OPTFLOW) && defined(OPENCV)
#if defined(TRACK_OPTFLOW) && defined(OPENCV) && defined(GPU)

#include <opencv2/cudaoptflow.hpp>
#include <opencv2/cudaimgproc.hpp>
Expand Down Expand Up @@ -319,6 +319,130 @@ class Tracker_optflow {
return result_bbox_vec;
}

};

#elif defined(TRACK_OPTFLOW) && defined(OPENCV)

#include <opencv2/optflow.hpp>

class Tracker_optflow {
public:
const int flow_error;


Tracker_optflow(int win_size = 9, int max_level = 3, int iterations = 8000, int _flow_error = -1) :
flow_error((_flow_error > 0)? _flow_error:(win_size*4))
{
sync_PyrLKOpticalFlow = cv::SparsePyrLKOpticalFlow::create();
sync_PyrLKOpticalFlow->setWinSize(cv::Size(win_size, win_size)); // 9, 15, 21, 31
sync_PyrLKOpticalFlow->setMaxLevel(max_level); // +- 3 pt

}

// just to avoid extra allocations
cv::Mat src_mat;
cv::Mat dst_mat, dst_grey;
cv::Mat prev_pts_flow, cur_pts_flow;
cv::Mat status, err;

cv::Mat src_grey; // used in both functions
cv::Ptr<cv::SparsePyrLKOpticalFlow> sync_PyrLKOpticalFlow;

std::vector<bbox_t> cur_bbox_vec;
std::vector<bool> good_bbox_vec_flags;

void update_cur_bbox_vec(std::vector<bbox_t> _cur_bbox_vec)
{
cur_bbox_vec = _cur_bbox_vec;
good_bbox_vec_flags = std::vector<bool>(cur_bbox_vec.size(), true);
cv::Mat prev_pts, cur_pts_flow;

for (auto &i : cur_bbox_vec) {
float x_center = (i.x + i.w / 2.0F);
float y_center = (i.y + i.h / 2.0F);
prev_pts.push_back(cv::Point2f(x_center, y_center));
}

if (prev_pts.rows == 0)
prev_pts_flow = cv::Mat();
else
cv::transpose(prev_pts, prev_pts_flow);
}


void update_tracking_flow(cv::Mat new_src_mat, std::vector<bbox_t> _cur_bbox_vec)
{
if (new_src_mat.channels() == 3) {
if (src_mat.cols == 0) {
src_mat = cv::Mat(new_src_mat.size(), new_src_mat.type());
src_grey = cv::Mat(new_src_mat.size(), CV_8UC1);
}

update_cur_bbox_vec(_cur_bbox_vec);

src_mat = new_src_mat;
cv::cvtColor(src_mat, src_grey, CV_BGR2GRAY, 1);
}
}


std::vector<bbox_t> tracking_flow(cv::Mat new_dst_mat, bool check_error = true)
{
if (sync_PyrLKOpticalFlow.empty()) {
std::cout << "sync_PyrLKOpticalFlow isn't initialized \n";
return cur_bbox_vec;
}

if (dst_mat.cols == 0) {
dst_mat = cv::Mat(new_dst_mat.size(), new_dst_mat.type());
dst_grey = cv::Mat(new_dst_mat.size(), CV_8UC1);
}

dst_mat = new_dst_mat;
cv::cvtColor(dst_mat, dst_grey, CV_BGR2GRAY, 1);

if (src_grey.rows != dst_grey.rows || src_grey.cols != dst_grey.cols) {
src_grey = dst_grey.clone();
return cur_bbox_vec;
}

////sync_PyrLKOpticalFlow_gpu.sparse(src_grey_gpu, dst_grey_gpu, prev_pts_flow_gpu, cur_pts_flow_gpu, status_gpu, &err_gpu); // OpenCV 2.4.x
sync_PyrLKOpticalFlow->calc(src_grey, dst_grey, prev_pts_flow, cur_pts_flow, status, err); // OpenCV 3.x

dst_grey.copyTo(src_grey);

std::vector<bbox_t> result_bbox_vec;

if (err.cols == cur_bbox_vec.size() && status.cols == cur_bbox_vec.size())
{
for (size_t i = 0; i < cur_bbox_vec.size(); ++i)
{
cv::Point2f cur_key_pt = cur_pts_flow.at<cv::Point2f>(0, i);
cv::Point2f prev_key_pt = prev_pts_flow.at<cv::Point2f>(0, i);

float moved_x = cur_key_pt.x - prev_key_pt.x;
float moved_y = cur_key_pt.y - prev_key_pt.y;

if (abs(moved_x) < 100 && abs(moved_y) < 100 && good_bbox_vec_flags[i])
if (err.at<float>(0, i) < flow_error && status.at<unsigned char>(0, i) != 0 &&
((float)cur_bbox_vec[i].x + moved_x) > 0 && ((float)cur_bbox_vec[i].y + moved_y) > 0)
{
cur_bbox_vec[i].x += moved_x + 0.5;
cur_bbox_vec[i].y += moved_y + 0.5;
result_bbox_vec.push_back(cur_bbox_vec[i]);
}
else good_bbox_vec_flags[i] = false;
else good_bbox_vec_flags[i] = false;

//if(!check_error && !good_bbox_vec_flags[i]) result_bbox_vec.push_back(cur_bbox_vec[i]);
}
}

prev_pts_flow = cur_pts_flow;

return result_bbox_vec;
}

};
#else

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