From 475f6b9dfa57eb649909ff3758572b3549b17480 Mon Sep 17 00:00:00 2001 From: Tadas Baltrusaitis Date: Tue, 14 Nov 2017 20:36:58 +0000 Subject: [PATCH] More model simplification, getting there with img. --- exe/FaceLandmarkImg/FaceLandmarkImg.cpp | 201 ++---------------- .../results/fps_yt.mat | Bin 5120508 -> 5120561 bytes 2 files changed, 20 insertions(+), 181 deletions(-) diff --git a/exe/FaceLandmarkImg/FaceLandmarkImg.cpp b/exe/FaceLandmarkImg/FaceLandmarkImg.cpp index 760dfbd..76f06ed 100644 --- a/exe/FaceLandmarkImg/FaceLandmarkImg.cpp +++ b/exe/FaceLandmarkImg/FaceLandmarkImg.cpp @@ -138,7 +138,7 @@ void create_display_image(const cv::Mat& orig, cv::Mat& display_image, LandmarkD } - LandmarkDetector::Draw(display_image, clnf_model); + //LandmarkDetector::Draw(display_image, clnf_model); } @@ -176,7 +176,6 @@ int main (int argc, char **argv) face_analysis_params.OptimizeForImages(); FaceAnalysis::FaceAnalyser face_analyser(face_analysis_params); - // If bounding boxes not provided, use a face detector cv::CascadeClassifier classifier(det_parameters.face_detector_location); dlib::frontal_face_detector face_detector_hog = dlib::get_frontal_face_detector(); @@ -195,33 +194,36 @@ int main (int argc, char **argv) // Making sure the image is in uchar grayscale cv::Mat_ grayscale_image = image_reader.GetGrayFrame(); - // if no pose defined we just use a face detector - if(bounding_boxes.empty()) - { - // Detect faces in an image vector > face_detections; - if(det_parameters.curr_face_detector == LandmarkDetector::FaceModelParameters::HOG_SVM_DETECTOR) + if (image_reader.has_bounding_boxes) { - vector confidences; - LandmarkDetector::DetectFacesHOG(face_detections, grayscale_image, face_detector_hog, confidences); + face_detections = image_reader.GetBoundingBoxes(); } else { - LandmarkDetector::DetectFaces(face_detections, grayscale_image, classifier); + if (det_parameters.curr_face_detector == LandmarkDetector::FaceModelParameters::HOG_SVM_DETECTOR) + { + vector confidences; + LandmarkDetector::DetectFacesHOG(face_detections, grayscale_image, face_detector_hog, confidences); + } + else + { + LandmarkDetector::DetectFaces(face_detections, grayscale_image, classifier); + } } // Detect landmarks around detected faces int face_det = 0; // perform landmark detection for every face detected - for(size_t face=0; face < face_detections.size(); ++face) + for (size_t face = 0; face < face_detections.size(); ++face) { // if there are multiple detections go through them - bool success = LandmarkDetector::DetectLandmarksInImage(grayscale_image, face_detections[face], clnf_model, det_parameters); + bool success = LandmarkDetector::DetectLandmarksInImage(grayscale_image, face_detections[face], face_model, det_parameters); // Estimate head pose and eye gaze - cv::Vec6d headPose = LandmarkDetector::GetPose(clnf_model, fx, fy, cx, cy); + cv::Vec6d headPose = LandmarkDetector::GetPose(face_model, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy); // Gaze tracking, absolute gaze direction cv::Point3f gazeDirection0(0, 0, -1); @@ -230,180 +232,17 @@ int main (int argc, char **argv) if (success && det_parameters.track_gaze) { - GazeAnalysis::EstimateGaze(clnf_model, gazeDirection0, fx, fy, cx, cy, true); - GazeAnalysis::EstimateGaze(clnf_model, gazeDirection1, fx, fy, cx, cy, false); + GazeAnalysis::EstimateGaze(face_model, gazeDirection0, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy, true); + GazeAnalysis::EstimateGaze(face_model, gazeDirection1, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy, false); gazeAngle = GazeAnalysis::GetGazeAngle(gazeDirection0, gazeDirection1); } - auto ActionUnits = face_analyser.PredictStaticAUs(read_image, clnf_model.detected_landmarks, false); + auto ActionUnits = face_analyser.PredictStaticAUs(captured_image, face_model.detected_landmarks); - // Writing out the detected landmarks (in an OS independent manner) - if(!output_landmark_locations.empty()) - { - char name[100]; - // append detection number (in case multiple faces are detected) - sprintf(name, "_det_%d", face_det); - - // Construct the output filename - boost::filesystem::path slash("/"); - std::string preferredSlash = slash.make_preferred().string(); - - boost::filesystem::path out_feat_path(output_landmark_locations.at(i)); - boost::filesystem::path dir = out_feat_path.parent_path(); - boost::filesystem::path fname = out_feat_path.filename().replace_extension(""); - boost::filesystem::path ext = out_feat_path.extension(); - string outfeatures = dir.string() + preferredSlash + fname.string() + string(name) + ext.string(); - write_out_landmarks(outfeatures, clnf_model, headPose, gazeDirection0, gazeDirection1, gazeAngle, ActionUnits.first, ActionUnits.second, det_parameters.track_gaze); - } - - if (!output_pose_locations.empty()) - { - char name[100]; - // append detection number (in case multiple faces are detected) - sprintf(name, "_det_%d", face_det); - - // Construct the output filename - boost::filesystem::path slash("/"); - std::string preferredSlash = slash.make_preferred().string(); - - boost::filesystem::path out_pose_path(output_pose_locations.at(i)); - boost::filesystem::path dir = out_pose_path.parent_path(); - boost::filesystem::path fname = out_pose_path.filename().replace_extension(""); - boost::filesystem::path ext = out_pose_path.extension(); - string outfeatures = dir.string() + preferredSlash + fname.string() + string(name) + ext.string(); - write_out_pose_landmarks(outfeatures, clnf_model.GetShape(fx, fy, cx, cy), headPose, gazeDirection0, gazeDirection1); - - } - - if (det_parameters.track_gaze) - { - cv::Vec6d pose_estimate_to_draw = LandmarkDetector::GetPose(clnf_model, fx, fy, cx, cy); - - // Draw it in reddish if uncertain, blueish if certain - LandmarkDetector::DrawBox(read_image, pose_estimate_to_draw, cv::Scalar(255.0, 0, 0), 3, fx, fy, cx, cy); - GazeAnalysis::DrawGaze(read_image, clnf_model, gazeDirection0, gazeDirection1, fx, fy, cx, cy); - } - - // displaying detected landmarks - cv::Mat display_image; - create_display_image(read_image, display_image, clnf_model); - - if(visualise && success) - { - imshow("colour", display_image); - cv::waitKey(1); - } - - // Saving the display images (in an OS independent manner) - if(!output_images.empty() && success) - { - string outimage = output_images.at(i); - if(!outimage.empty()) - { - char name[100]; - sprintf(name, "_det_%d", face_det); - - boost::filesystem::path slash("/"); - std::string preferredSlash = slash.make_preferred().string(); - - // append detection number - boost::filesystem::path out_feat_path(outimage); - boost::filesystem::path dir = out_feat_path.parent_path(); - boost::filesystem::path fname = out_feat_path.filename().replace_extension(""); - boost::filesystem::path ext = out_feat_path.extension(); - outimage = dir.string() + preferredSlash + fname.string() + string(name) + ext.string(); - create_directory_from_file(outimage); - bool write_success = cv::imwrite(outimage, display_image); - - if (!write_success) - { - cout << "Could not output a processed image" << endl; - return 1; - } - - } - - } - - if(success) - { - face_det++; - } + // TODO visualize + // TODO record } - } - else - { - // Have provided bounding boxes - LandmarkDetector::DetectLandmarksInImage(grayscale_image, bounding_boxes[i], clnf_model, det_parameters); - - // Estimate head pose and eye gaze - cv::Vec6d headPose = LandmarkDetector::GetPose(clnf_model, fx, fy, cx, cy); - - // Gaze tracking, absolute gaze direction - cv::Point3f gazeDirection0(0, 0, -1); - cv::Point3f gazeDirection1(0, 0, -1); - cv::Vec2d gazeAngle(0, 0); - - if (det_parameters.track_gaze) - { - GazeAnalysis::EstimateGaze(clnf_model, gazeDirection0, fx, fy, cx, cy, true); - GazeAnalysis::EstimateGaze(clnf_model, gazeDirection1, fx, fy, cx, cy, false); - gazeAngle = GazeAnalysis::GetGazeAngle(gazeDirection0, gazeDirection1); - } - - auto ActionUnits = face_analyser.PredictStaticAUs(read_image, clnf_model.detected_landmarks, false); - - // Writing out the detected landmarks - if(!output_landmark_locations.empty()) - { - string outfeatures = output_landmark_locations.at(i); - write_out_landmarks(outfeatures, clnf_model, headPose, gazeDirection0, gazeDirection1, gazeAngle, ActionUnits.first, ActionUnits.second, det_parameters.track_gaze); - } - - // Writing out the detected landmarks - if (!output_pose_locations.empty()) - { - string outfeatures = output_pose_locations.at(i); - write_out_pose_landmarks(outfeatures, clnf_model.GetShape(fx, fy, cx, cy), headPose, gazeDirection0, gazeDirection1); - } - - // displaying detected stuff - cv::Mat display_image; - - if (det_parameters.track_gaze) - { - cv::Vec6d pose_estimate_to_draw = LandmarkDetector::GetPose(clnf_model, fx, fy, cx, cy); - - // Draw it in reddish if uncertain, blueish if certain - LandmarkDetector::DrawBox(read_image, pose_estimate_to_draw, cv::Scalar(255.0, 0, 0), 3, fx, fy, cx, cy); - GazeAnalysis::DrawGaze(read_image, clnf_model, gazeDirection0, gazeDirection1, fx, fy, cx, cy); - } - - create_display_image(read_image, display_image, clnf_model); - - if(visualise) - { - imshow("colour", display_image); - cv::waitKey(1); - } - - if(!output_images.empty()) - { - string outimage = output_images.at(i); - if(!outimage.empty()) - { - create_directory_from_file(outimage); - bool write_success = imwrite(outimage, display_image); - - if (!write_success) - { - cout << "Could not output a processed image" << endl; - return 1; - } - } - } - } } diff --git a/matlab_runners/Feature Point Experiments/results/fps_yt.mat b/matlab_runners/Feature Point Experiments/results/fps_yt.mat index b4b90a537204458f286372b3e8ab773a3fdf0f05..dea34e8d10863fd3b00971f26932adb7b8dc025f 100644 GIT binary patch delta 1684783 zcmV(%K;pmr!?*&m#JB>GG#FHMWgt#(b|5h{ATlsIGBP?eG9WTAF*lJ>BavVQk#s$O 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