Integrating SequenceCapture to FaceLandmarkVid
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4 changed files with 64 additions and 169 deletions
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@ -46,6 +46,8 @@
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#include <opencv2/imgproc.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <SequenceCapture.h>
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// Boost includes
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#include <filesystem.hpp>
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#include <filesystem/fstream.hpp>
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@ -85,29 +87,29 @@ vector<string> get_arguments(int argc, char **argv)
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// Some globals for tracking timing information for visualisation
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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
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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, int frame_count, double fx, double fy, double cx, double cy)
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// Visualising the results, TODO move to separate
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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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// Drawing the facial landmarks on the face and the bounding box around it if tracking is successful and initialised
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double detection_certainty = face_model.detection_certainty;
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bool detection_success = face_model.detection_success;
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double visualisation_boundary = 0.2;
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double visualisation_boundary = 0.4;
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// Only draw if the reliability is reasonable, the value is slightly ad-hoc
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if (detection_certainty < visualisation_boundary)
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if (detection_certainty > visualisation_boundary)
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{
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LandmarkDetector::Draw(captured_image, face_model);
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double vis_certainty = detection_certainty;
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if (vis_certainty > 1)
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vis_certainty = 1;
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if (vis_certainty < -1)
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vis_certainty = -1;
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vis_certainty = (vis_certainty + 1) / (visualisation_boundary + 1);
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// Scale from 0 to 1, to allow to indicated by colour how confident we are in the tracking
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vis_certainty = (vis_certainty - visualisation_boundary) / (1 - visualisation_boundary);
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// A rough heuristic for box around the face width
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int thickness = (int)std::ceil(2.0* ((double)captured_image.cols) / 640.0);
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@ -115,15 +117,15 @@ void visualise_tracking(cv::Mat& captured_image, const LandmarkDetector::CLNF& f
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cv::Vec6d pose_estimate_to_draw = LandmarkDetector::GetPose(face_model, fx, fy, cx, cy);
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// Draw it in reddish if uncertain, blueish if certain
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LandmarkDetector::DrawBox(captured_image, pose_estimate_to_draw, cv::Scalar((1 - vis_certainty)*255.0, 0, vis_certainty * 255), thickness, fx, fy, cx, cy);
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LandmarkDetector::DrawBox(captured_image, pose_estimate_to_draw, cv::Scalar(vis_certainty*255.0, 0, (1 - vis_certainty) * 255), thickness, fx, fy, cx, cy);
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if (det_parameters.track_gaze && detection_success && face_model.eye_model)
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{
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GazeAnalysis::DrawGaze(captured_image, face_model, gazeDirection0, gazeDirection1, fx, fy, cx, cy);
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}
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}
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// Work out the framerate
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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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@ -136,13 +138,9 @@ void visualise_tracking(cv::Mat& captured_image, const LandmarkDetector::CLNF& f
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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));
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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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if (!det_parameters.quiet_mode)
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{
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cv::namedWindow("tracking_result", 1);
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cv::imshow("tracking_result", captured_image);
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}
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}
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int main (int argc, char **argv)
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@ -150,152 +148,51 @@ int main (int argc, char **argv)
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vector<string> arguments = get_arguments(argc, argv);
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// Some initial parameters that can be overriden from command line
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vector<string> files, output_video_files, out_dummy;
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// By default try webcam 0
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int device = 0;
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LandmarkDetector::FaceModelParameters det_parameters(arguments);
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det_parameters.track_gaze = true;
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// Get the input output file parameters
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// Indicates that rotation should be with respect to world or camera coordinates
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string output_codec;
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LandmarkDetector::get_video_input_output_params(files, out_dummy, output_video_files, output_codec, arguments);
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// The modules that are being used for tracking
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LandmarkDetector::CLNF clnf_model(det_parameters.model_location);
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// Grab camera parameters, if they are not defined (approximate values will be used)
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float fx = 0, fy = 0, cx = 0, cy = 0;
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// Get camera parameters
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LandmarkDetector::get_camera_params(device, fx, fy, cx, cy, arguments);
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// Open a sequence
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Utilities::SequenceCapture sequence_reader;
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// If cx (optical axis centre) is undefined will use the image size/2 as an estimate
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bool cx_undefined = false;
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bool fx_undefined = false;
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if (cx == 0 || cy == 0)
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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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cx_undefined = true;
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}
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if (fx == 0 || fy == 0)
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{
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fx_undefined = true;
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}
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// If multiple video files are tracked, use this to indicate if we are done
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bool done = false;
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int f_n = -1;
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det_parameters.track_gaze = true;
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// The sequence reader chooses what to open based on command line arguments provided
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bool reader_opened = sequence_reader.Open(arguments);
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while(!done) // this is not a for loop as we might also be reading from a webcam
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{
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string current_file;
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// We might specify multiple video files as arguments
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if(files.size() > 0)
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if(!reader_opened && sequence_reader.no_input_specified)
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{
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f_n++;
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current_file = files[f_n];
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// If that fails, revert to webcam
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INFO_STREAM("No input specified, attempting to open a webcam 0");
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if (!sequence_reader.OpenWebcam(0))
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ERROR_STREAM("Failed to open the webcam");
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}
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else
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{
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// If we want to write out from webcam
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f_n = 0;
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}
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// Do some grabbing
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cv::VideoCapture video_capture;
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if( current_file.size() > 0 )
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{
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if (!boost::filesystem::exists(current_file))
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{
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FATAL_STREAM("File does not exist");
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return 1;
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}
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current_file = boost::filesystem::path(current_file).generic_string();
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INFO_STREAM( "Attempting to read from file: " << current_file );
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video_capture = cv::VideoCapture( current_file );
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}
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else
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{
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INFO_STREAM( "Attempting to capture from device: " << device );
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video_capture = cv::VideoCapture( device );
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// Read a first frame often empty in camera
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cv::Mat captured_image;
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video_capture >> captured_image;
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ERROR_STREAM("Failed to open a sequence");
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break;
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}
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if (!video_capture.isOpened())
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{
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FATAL_STREAM("Failed to open video source");
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return 1;
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}
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else INFO_STREAM( "Device or file opened");
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INFO_STREAM("Device or file opened");
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cv::Mat captured_image;
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video_capture >> captured_image;
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// If optical centers are not defined just use center of image
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if (cx_undefined)
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cv::Mat captured_image;
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captured_image = sequence_reader.GetNextFrame();
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INFO_STREAM("Starting tracking");
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while (!captured_image.empty()) // this is not a for loop as we might also be reading from a webcam
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{
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cx = captured_image.cols / 2.0f;
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cy = captured_image.rows / 2.0f;
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}
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// Use a rough guess-timate of focal length
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if (fx_undefined)
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{
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fx = 500 * (captured_image.cols / 640.0);
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fy = 500 * (captured_image.rows / 480.0);
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fx = (fx + fy) / 2.0;
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fy = fx;
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}
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int frame_count = 0;
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// saving the videos
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cv::VideoWriter writerFace;
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if (!output_video_files.empty())
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{
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try
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{
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writerFace = cv::VideoWriter(output_video_files[f_n], CV_FOURCC(output_codec[0], output_codec[1], output_codec[2], output_codec[3]), 30, captured_image.size(), true);
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}
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catch(cv::Exception e)
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{
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WARN_STREAM( "Could not open VideoWriter, OUTPUT FILE WILL NOT BE WRITTEN. Currently using codec " << output_codec << ", try using an other one (-oc option)");
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}
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}
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// Use for timestamping if using a webcam
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int64 t_initial = cv::getTickCount();
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INFO_STREAM( "Starting tracking");
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while(!captured_image.empty())
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{
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// Reading the images
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cv::Mat_<uchar> grayscale_image;
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if(captured_image.channels() == 3)
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{
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cv::cvtColor(captured_image, grayscale_image, CV_BGR2GRAY);
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}
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else
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{
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grayscale_image = captured_image.clone();
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}
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// The actual facial landmark detection / tracking
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bool detection_success = LandmarkDetector::DetectLandmarksInVideo(grayscale_image, clnf_model, det_parameters);
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// Visualising the results
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// Drawing the facial landmarks on the face and the bounding box around it if tracking is successful and initialised
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double detection_certainty = clnf_model.detection_certainty;
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@ -306,52 +203,32 @@ int main (int argc, char **argv)
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if (det_parameters.track_gaze && detection_success && clnf_model.eye_model)
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{
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GazeAnalysis::EstimateGaze(clnf_model, gazeDirection0, fx, fy, cx, cy, true);
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GazeAnalysis::EstimateGaze(clnf_model, gazeDirection1, fx, fy, cx, cy, false);
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GazeAnalysis::EstimateGaze(clnf_model, gazeDirection0, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy, true);
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GazeAnalysis::EstimateGaze(clnf_model, gazeDirection1, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy, false);
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}
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visualise_tracking(captured_image, clnf_model, det_parameters, gazeDirection0, gazeDirection1, frame_count, fx, fy, cx, cy);
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// output the tracked video
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if (!output_video_files.empty())
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{
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writerFace << captured_image;
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}
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visualise_tracking(captured_image, clnf_model, det_parameters, gazeDirection0, gazeDirection1, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy);
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video_capture >> captured_image;
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// detect key presses
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char character_press = cv::waitKey(1);
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// restart the tracker
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if(character_press == 'r')
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if (character_press == 'r')
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{
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clnf_model.Reset();
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}
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// quit the application
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else if(character_press=='q')
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else if (character_press == 'q')
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{
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return(0);
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}
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// Update the frame count
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frame_count++;
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}
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frame_count = 0;
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// Reset the model, for the next video
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clnf_model.Reset();
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// break out of the loop if done with all the files (or using a webcam)
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if(f_n == files.size() -1 || files.empty())
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{
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done = true;
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}
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}
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}
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return 0;
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}
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@ -112,7 +112,7 @@
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<WarningLevel>Level3</WarningLevel>
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<Optimization>Disabled</Optimization>
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<PreprocessorDefinitions>WIN32;_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\FaceAnalyser\include;$(SolutionDir)\lib\local\GazeAnalyser\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\FaceAnalyser\include;$(SolutionDir)\lib\local\GazeAnalyser\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<OpenMPSupport>false</OpenMPSupport>
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<EnableEnhancedInstructionSet>StreamingSIMDExtensions2</EnableEnhancedInstructionSet>
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<MultiProcessorCompilation>true</MultiProcessorCompilation>
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<WarningLevel>Level3</WarningLevel>
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<Optimization>Disabled</Optimization>
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<PreprocessorDefinitions>WIN64;_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\FaceAnalyser\include;$(SolutionDir)\lib\local\GazeAnalyser\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\FaceAnalyser\include;$(SolutionDir)\lib\local\GazeAnalyser\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<OpenMPSupport>false</OpenMPSupport>
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<EnableEnhancedInstructionSet>AdvancedVectorExtensions</EnableEnhancedInstructionSet>
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<MultiProcessorCompilation>true</MultiProcessorCompilation>
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</FunctionLevelLinking>
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<IntrinsicFunctions>true</IntrinsicFunctions>
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<PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\FaceAnalyser\include;$(SolutionDir)\lib\local\GazeAnalyser\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\FaceAnalyser\include;$(SolutionDir)\lib\local\GazeAnalyser\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<OpenMPSupport>false</OpenMPSupport>
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<FavorSizeOrSpeed>Speed</FavorSizeOrSpeed>
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<EnableEnhancedInstructionSet>StreamingSIMDExtensions2</EnableEnhancedInstructionSet>
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</FunctionLevelLinking>
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<IntrinsicFunctions>true</IntrinsicFunctions>
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<PreprocessorDefinitions>WIN64;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\FaceAnalyser\include;$(SolutionDir)\lib\local\GazeAnalyser\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\FaceAnalyser\include;$(SolutionDir)\lib\local\GazeAnalyser\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<OpenMPSupport>false</OpenMPSupport>
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<FavorSizeOrSpeed>Speed</FavorSizeOrSpeed>
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<EnableEnhancedInstructionSet>AdvancedVectorExtensions</EnableEnhancedInstructionSet>
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<ProjectReference Include="..\..\lib\local\LandmarkDetector\LandmarkDetector.vcxproj">
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<Project>{bdc1d107-de17-4705-8e7b-cdde8bfb2bf8}</Project>
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</ProjectReference>
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<ProjectReference Include="..\..\lib\local\Utilities\Utilities.vcxproj">
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<Project>{8e741ea2-9386-4cf2-815e-6f9b08991eac}</Project>
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</ProjectReference>
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<ImportGroup Label="ExtensionTargets">
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// Name of the video file, image directory, or the webcam
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std::string name;
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// Allows to differentiate if failed because no input specified or if failed to open a specified input
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bool no_input_specified;
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private:
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// Used for capturing webcam and video
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void SetCameraIntrinsics(float fx, float fy, float cx, float cy);
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};
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}
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#endif
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@ -154,6 +154,8 @@ bool SequenceCapture::Open(std::vector<std::string> arguments)
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}
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}
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no_input_specified = !file_found;
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// Based on what was read in open the sequence TODO
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if (device != -1)
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{
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@ -167,7 +169,10 @@ bool SequenceCapture::Open(std::vector<std::string> arguments)
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{
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return OpenImageSequence(input_sequence_directory, fx, fy, cx, cy);
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}
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// If none opened, return false
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// If no input found return false and set a flag for it
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no_input_specified = true;
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return false;
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}
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@ -175,6 +180,8 @@ bool SequenceCapture::OpenWebcam(int device, int image_width, int image_height,
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{
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INFO_STREAM("Attempting to read from webcam: " << device);
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no_input_specified = false;
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if (device < 0)
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{
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std::cout << "Specify a valid device" << std::endl;
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@ -232,6 +239,8 @@ bool SequenceCapture::OpenVideoFile(std::string video_file, float fx, float fy,
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{
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INFO_STREAM("Attempting to read from file: " << video_file);
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no_input_specified = false;
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latest_frame = cv::Mat();
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latest_gray_frame = cv::Mat();
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@ -272,6 +281,8 @@ bool SequenceCapture::OpenImageSequence(std::string directory, float fx, float f
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{
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INFO_STREAM("Attempting to read from directory: " << directory);
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||||
|
||||
no_input_specified = false;
|
||||
|
||||
image_files.clear();
|
||||
|
||||
boost::filesystem::path image_directory(directory);
|
||||
|
|
Loading…
Reference in a new issue