Adding a dedicated FPS tracker.

This commit is contained in:
Tadas Baltrusaitis 2017-11-13 09:07:52 +00:00
parent bee6d185cb
commit fa48372f4c
8 changed files with 89 additions and 38 deletions

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@ -60,6 +60,7 @@
#include <RecorderOpenFaceParameters.h>
#include <SequenceCapture.h>
#include <Visualizer.h>
#include <VisualizationUtils.h>
#ifndef CONFIG_DIR
#define CONFIG_DIR "~"
@ -97,34 +98,6 @@ vector<string> get_arguments(int argc, char **argv)
return arguments;
}
// Some globals for tracking timing information for visualisation (TODO bit ugly)
double fps_tracker = -1.0;
int64 t0 = 0;
int frame_count = 0;
// Visualising the results TODO separate class
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)
{
// Work out the framerate TODO
if (frame_count % 10 == 0)
{
double t1 = cv::getTickCount();
fps_tracker = 10.0 / (double(t1 - t0) / cv::getTickFrequency());
t0 = t1;
}
// Write out the framerate on the image before displaying it
char fpsC[255];
std::sprintf(fpsC, "%d", (int)fps_tracker);
string fpsSt("FPS:");
fpsSt += fpsC;
cv::putText(captured_image, fpsSt, cv::Point(10, 20), CV_FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(255, 0, 0), 1, CV_AA);
frame_count++;
}
int main (int argc, char **argv)
{
@ -146,6 +119,10 @@ int main (int argc, char **argv)
// A utility for visualizing the results
Utilities::Visualizer visualizer(arguments);
// Tracking FPS for visualization
Utilities::FpsTracker fps_tracker;
fps_tracker.AddFrame();
while (true) // this is not a for loop as we might also be reading from a webcam
{
@ -200,6 +177,9 @@ int main (int argc, char **argv)
// Work out the pose of the head from the tracked model
cv::Vec6d pose_estimate = LandmarkDetector::GetPose(face_model, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy);
// Keeping track of FPS
fps_tracker.AddFrame();
// Displaying the tracking visualizations
visualizer.SetImage(captured_image, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy);
visualizer.SetObservationFaceAlign(sim_warped_img);
@ -207,6 +187,7 @@ int main (int argc, char **argv)
visualizer.SetObservationLandmarks(face_model.detected_landmarks, face_model.detection_certainty, detection_success);
visualizer.SetObservationPose(pose_estimate, face_model.detection_certainty);
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);
visualizer.SetFps(fps_tracker.GetFPS());
visualizer.ShowObservation();
// Setting up the recorder output

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@ -57,7 +57,7 @@ namespace Utilities
public:
// The constructor for the recorder, need to specify if we are recording a sequence or not
RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string> arguments);
RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string>& arguments);
~RecorderOpenFace();

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@ -37,13 +37,13 @@
#include <opencv2/core/core.hpp>
#include <vector>
#include <queue>
namespace Utilities
{
// TODO draw AU results
// Drawing a bounding box around the face in an image
void DrawBox(cv::Mat image, cv::Vec6d pose, cv::Scalar color, int thickness, float fx, float fy, float cx, float cy);
void DrawBox(const std::vector<std::pair<cv::Point2d, cv::Point2d>>& lines, cv::Mat image, cv::Scalar color, int thickness);
@ -53,6 +53,24 @@ namespace Utilities
void Visualise_FHOG(const cv::Mat_<double>& descriptor, int num_rows, int num_cols, cv::Mat& visualisation);
class FpsTracker
{
public:
double history_length;
void AddFrame();
double GetFPS();
FpsTracker();
private:
std::queue<double> frame_times;
void DiscardOldFrames();
};
}
#endif

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@ -80,6 +80,8 @@ namespace Utilities
// HOG feature related observations
void SetObservationHOG(const cv::Mat_<double>& hog_descriptor, int num_cols, int num_rows);
void SetFps(double fps);
void ShowObservation();
cv::Mat GetVisImage();

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@ -71,7 +71,7 @@ void CreateDirectory(std::string output_path)
}
RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string> arguments):video_writer(), params(parameters)
RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string>& arguments):video_writer(), params(parameters)
{
// From the filename, strip out the name without directory and extension
@ -150,7 +150,14 @@ RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFa
if (params.outputTrackedVideo())
{
this->video_filename = (path(record_root) / path(filename).replace_extension(".avi")).string();
metadata_file << "Output video:" << this->video_filename << endl;
if(parameters.isSequence())
{
metadata_file << "Output video:" << this->video_filename << endl;
}
else
{
metadata_file << "Output image:" << this->video_filename << endl;
}
}
// Prepare image recording

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@ -246,6 +246,12 @@ bool SequenceCapture::OpenVideoFile(std::string video_file, float fx, float fy,
capture.open(video_file);
if (!capture.isOpened())
{
std::cout << "Failed to open the video file at location: " << video_file << std::endl;
return false;
}
this->fps = capture.get(CV_CAP_PROP_FPS);
// Check if fps is nan or less than 0
@ -263,12 +269,6 @@ bool SequenceCapture::OpenVideoFile(std::string video_file, float fx, float fy,
vid_length = (int)capture.get(CV_CAP_PROP_FRAME_COUNT);
if (!capture.isOpened())
{
std::cout << "Failed to open the video file at location: " << video_file << std::endl;
return false;
}
SetCameraIntrinsics(fx, fy, cx, cy);
this->name = boost::filesystem::path(video_file).filename().replace_extension("").string();

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@ -44,6 +44,39 @@
namespace Utilities
{
FpsTracker::FpsTracker()
{
// Keep two seconds of history
history_length = 2;
}
void FpsTracker::AddFrame()
{
double current_time = cv::getTickCount() / cv::getTickFrequency();
frame_times.push(current_time);
DiscardOldFrames();
}
double FpsTracker::GetFPS()
{
DiscardOldFrames();
if (frame_times.size() == 0)
return 0;
double current_time = cv::getTickCount() / cv::getTickFrequency();
return ((double)frame_times.size()) / (current_time - frame_times.front());
}
void FpsTracker::DiscardOldFrames()
{
double current_time = cv::getTickCount() / cv::getTickFrequency();
// Remove old history
while (frame_times.size() > 0 && (current_time - frame_times.front()) > history_length)
frame_times.pop();
}
void DrawBox(cv::Mat image, cv::Vec6d pose, cv::Scalar color, int thickness, float fx, float fy, float cx, float cy)
{
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
}
}
void Visualizer::SetFps(double fps)
{
// Write out the framerate on the image before displaying it
char fpsC[255];
std::sprintf(fpsC, "%d", (int)fps);
std::string fpsSt("FPS:");
fpsSt += fpsC;
cv::putText(captured_image, fpsSt, cv::Point(10, 20), CV_FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(255, 0, 0), 1, CV_AA);
}
void Visualizer::ShowObservation()
{
if (vis_track)