Adding a dedicated FPS tracker.
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bee6d185cb
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8 changed files with 89 additions and 38 deletions
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@ -60,6 +60,7 @@
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#include <RecorderOpenFaceParameters.h>
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#include <SequenceCapture.h>
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#include <Visualizer.h>
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#include <VisualizationUtils.h>
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#ifndef CONFIG_DIR
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#define CONFIG_DIR "~"
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@ -97,34 +98,6 @@ vector<string> get_arguments(int argc, char **argv)
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return arguments;
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}
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// Some globals for tracking timing information for visualisation (TODO bit ugly)
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double fps_tracker = -1.0;
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int64 t0 = 0;
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int frame_count = 0;
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// Visualising the results TODO separate class
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void visualise_tracking(cv::Mat& captured_image, const LandmarkDetector::CLNF& face_model, const LandmarkDetector::FaceModelParameters& det_parameters, cv::Point3f gazeDirection0, cv::Point3f gazeDirection1, double fx, double fy, double cx, double cy)
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{
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// Work out the framerate TODO
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if (frame_count % 10 == 0)
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{
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double t1 = cv::getTickCount();
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fps_tracker = 10.0 / (double(t1 - t0) / cv::getTickFrequency());
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t0 = t1;
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}
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// Write out the framerate on the image before displaying it
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char fpsC[255];
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std::sprintf(fpsC, "%d", (int)fps_tracker);
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string fpsSt("FPS:");
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fpsSt += fpsC;
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cv::putText(captured_image, fpsSt, cv::Point(10, 20), CV_FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(255, 0, 0), 1, CV_AA);
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frame_count++;
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}
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int main (int argc, char **argv)
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{
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@ -146,6 +119,10 @@ int main (int argc, char **argv)
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// A utility for visualizing the results
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Utilities::Visualizer visualizer(arguments);
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// Tracking FPS for visualization
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Utilities::FpsTracker fps_tracker;
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fps_tracker.AddFrame();
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while (true) // this is not a for loop as we might also be reading from a webcam
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{
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@ -200,6 +177,9 @@ int main (int argc, char **argv)
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// Work out the pose of the head from the tracked model
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cv::Vec6d pose_estimate = LandmarkDetector::GetPose(face_model, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy);
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// Keeping track of FPS
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fps_tracker.AddFrame();
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// Displaying the tracking visualizations
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visualizer.SetImage(captured_image, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy);
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visualizer.SetObservationFaceAlign(sim_warped_img);
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@ -207,6 +187,7 @@ int main (int argc, char **argv)
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visualizer.SetObservationLandmarks(face_model.detected_landmarks, face_model.detection_certainty, detection_success);
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visualizer.SetObservationPose(pose_estimate, face_model.detection_certainty);
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visualizer.SetObservationGaze(gazeDirection0, gazeDirection1, gazeAngle, LandmarkDetector::CalculateAllEyeLandmarks(face_model), LandmarkDetector::Calculate3DEyeLandmarks(face_model, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy), face_model.detection_certainty);
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visualizer.SetFps(fps_tracker.GetFPS());
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visualizer.ShowObservation();
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// Setting up the recorder output
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@ -57,7 +57,7 @@ namespace Utilities
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public:
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// The constructor for the recorder, need to specify if we are recording a sequence or not
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RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string> arguments);
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RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string>& arguments);
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~RecorderOpenFace();
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@ -37,13 +37,13 @@
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#include <opencv2/core/core.hpp>
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#include <vector>
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#include <queue>
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namespace Utilities
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{
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// TODO draw AU results
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// Drawing a bounding box around the face in an image
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void DrawBox(cv::Mat image, cv::Vec6d pose, cv::Scalar color, int thickness, float fx, float fy, float cx, float cy);
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void DrawBox(const std::vector<std::pair<cv::Point2d, cv::Point2d>>& lines, cv::Mat image, cv::Scalar color, int thickness);
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@ -53,6 +53,24 @@ namespace Utilities
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void Visualise_FHOG(const cv::Mat_<double>& descriptor, int num_rows, int num_cols, cv::Mat& visualisation);
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class FpsTracker
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{
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public:
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double history_length;
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void AddFrame();
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double GetFPS();
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FpsTracker();
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private:
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std::queue<double> frame_times;
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void DiscardOldFrames();
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};
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}
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#endif
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@ -80,6 +80,8 @@ namespace Utilities
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// HOG feature related observations
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void SetObservationHOG(const cv::Mat_<double>& hog_descriptor, int num_cols, int num_rows);
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void SetFps(double fps);
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void ShowObservation();
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cv::Mat GetVisImage();
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@ -71,7 +71,7 @@ void CreateDirectory(std::string output_path)
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}
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RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string> arguments):video_writer(), params(parameters)
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RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string>& arguments):video_writer(), params(parameters)
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{
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// From the filename, strip out the name without directory and extension
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@ -150,8 +150,15 @@ RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFa
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if (params.outputTrackedVideo())
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{
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this->video_filename = (path(record_root) / path(filename).replace_extension(".avi")).string();
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if(parameters.isSequence())
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{
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metadata_file << "Output video:" << this->video_filename << endl;
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}
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else
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{
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metadata_file << "Output image:" << this->video_filename << endl;
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}
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}
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// Prepare image recording
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if (params.outputAlignedFaces())
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@ -246,6 +246,12 @@ bool SequenceCapture::OpenVideoFile(std::string video_file, float fx, float fy,
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capture.open(video_file);
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if (!capture.isOpened())
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{
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std::cout << "Failed to open the video file at location: " << video_file << std::endl;
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return false;
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}
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this->fps = capture.get(CV_CAP_PROP_FPS);
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// Check if fps is nan or less than 0
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@ -263,12 +269,6 @@ bool SequenceCapture::OpenVideoFile(std::string video_file, float fx, float fy,
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vid_length = (int)capture.get(CV_CAP_PROP_FRAME_COUNT);
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if (!capture.isOpened())
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{
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std::cout << "Failed to open the video file at location: " << video_file << std::endl;
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return false;
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}
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SetCameraIntrinsics(fx, fy, cx, cy);
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this->name = boost::filesystem::path(video_file).filename().replace_extension("").string();
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@ -44,6 +44,39 @@
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namespace Utilities
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{
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FpsTracker::FpsTracker()
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{
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// Keep two seconds of history
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history_length = 2;
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}
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void FpsTracker::AddFrame()
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{
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double current_time = cv::getTickCount() / cv::getTickFrequency();
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frame_times.push(current_time);
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DiscardOldFrames();
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}
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double FpsTracker::GetFPS()
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{
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DiscardOldFrames();
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if (frame_times.size() == 0)
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return 0;
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double current_time = cv::getTickCount() / cv::getTickFrequency();
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return ((double)frame_times.size()) / (current_time - frame_times.front());
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}
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void FpsTracker::DiscardOldFrames()
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{
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double current_time = cv::getTickCount() / cv::getTickFrequency();
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// Remove old history
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while (frame_times.size() > 0 && (current_time - frame_times.front()) > history_length)
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frame_times.pop();
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}
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void DrawBox(cv::Mat image, cv::Vec6d pose, cv::Scalar color, int thickness, float fx, float fy, float cx, float cy)
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{
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auto edge_lines = CalculateBox(pose, fx, fy, cx, cy);
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@ -232,6 +232,16 @@ void Visualizer::SetObservationGaze(const cv::Point3f& gaze_direction0, const cv
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}
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}
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void Visualizer::SetFps(double fps)
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{
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// Write out the framerate on the image before displaying it
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char fpsC[255];
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std::sprintf(fpsC, "%d", (int)fps);
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std::string fpsSt("FPS:");
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fpsSt += fpsC;
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cv::putText(captured_image, fpsSt, cv::Point(10, 20), CV_FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(255, 0, 0), 1, CV_AA);
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}
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void Visualizer::ShowObservation()
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{
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if (vis_track)
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