2020-07-02 19:09:04 -03:00
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#include "../include/CVStabilization.h"
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2020-07-02 20:18:01 -03:00
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2020-07-05 16:31:37 -03:00
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CVStabilization::CVStabilization():smoothingWindow(30) {}
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2020-07-02 20:18:01 -03:00
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2020-07-05 16:31:37 -03:00
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CVStabilization::CVStabilization(int _smoothingWindow): smoothingWindow(_smoothingWindow){}
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2020-07-02 19:09:04 -03:00
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2020-07-08 22:31:26 -03:00
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void CVStabilization::ProcessClip(openshot::Clip &video){
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// Get total number of frames
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int videoLenght = video.Reader()->info.video_length;
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2020-07-02 19:09:04 -03:00
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2020-07-08 22:31:26 -03:00
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// Extract and track opticalflow features for each frame
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for (long int frame_number = 0; frame_number <= videoLenght; frame_number++)
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{
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std::shared_ptr<openshot::Frame> f = video.GetFrame(frame_number);
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2020-07-02 19:09:04 -03:00
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2020-07-08 22:31:26 -03:00
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// Grab Mat image
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cv::Mat cvimage = f->GetImageCV();
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cv::cvtColor(cvimage, cvimage, cv::COLOR_RGB2GRAY);
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TrackFrameFeatures(cvimage, frame_number);
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}
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2020-07-02 19:09:04 -03:00
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2020-07-08 22:31:26 -03:00
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vector <CamTrajectory> trajectory = ComputeFramesTrajectory();
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2020-07-02 19:09:04 -03:00
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2020-07-08 22:31:26 -03:00
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trajectoryData = SmoothTrajectory(trajectory);
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2020-07-02 19:09:04 -03:00
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2020-07-08 22:31:26 -03:00
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transformationData = GenNewCamPosition(trajectoryData);
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}
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2020-07-02 19:09:04 -03:00
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// Track current frame features and find the relative transformation
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void CVStabilization::TrackFrameFeatures(cv::Mat frame, int frameNum){
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2020-07-05 16:31:37 -03:00
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if(prev_grey.empty()){
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prev_grey = frame;
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return;
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}
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2020-07-02 19:09:04 -03:00
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// OpticalFlow features vector
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vector <cv::Point2f> prev_corner, cur_corner;
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vector <cv::Point2f> prev_corner2, cur_corner2;
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vector <uchar> status;
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vector <float> err;
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// Extract new image teatures
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cv::goodFeaturesToTrack(prev_grey, prev_corner, 200, 0.01, 30);
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// Track features
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cv::calcOpticalFlowPyrLK(prev_grey, frame, prev_corner, cur_corner, status, err);
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// Remove untracked features
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for(size_t i=0; i < status.size(); i++) {
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if(status[i]) {
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prev_corner2.push_back(prev_corner[i]);
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cur_corner2.push_back(cur_corner[i]);
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}
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}
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// translation + rotation only
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cv::Mat T = estimateRigidTransform(prev_corner2, cur_corner2, false); // false = rigid transform, no scaling/shearing
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// If no transform is found. We'll just use the last known good transform.
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if(T.data == NULL) {
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last_T.copyTo(T);
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}
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T.copyTo(last_T);
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// decompose T
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double dx = T.at<double>(0,2);
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double dy = T.at<double>(1,2);
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double da = atan2(T.at<double>(1,0), T.at<double>(0,0));
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prev_to_cur_transform.push_back(TransformParam(dx, dy, da));
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// out_transform << frameNum << " " << dx << " " << dy << " " << da << endl;
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cur.copyTo(prev);
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frame.copyTo(prev_grey);
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cout << "Frame: " << frameNum << " - good optical flow: " << prev_corner2.size() << endl;
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}
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vector <CamTrajectory> CVStabilization::ComputeFramesTrajectory(){
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// Accumulated frame to frame transform
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double a = 0;
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double x = 0;
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double y = 0;
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vector <CamTrajectory> trajectory; // trajectory at all frames
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// Compute global camera trajectory. First frame is the origin
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for(size_t i=0; i < prev_to_cur_transform.size(); i++) {
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x += prev_to_cur_transform[i].dx;
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y += prev_to_cur_transform[i].dy;
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a += prev_to_cur_transform[i].da;
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trajectory.push_back(CamTrajectory(x,y,a));
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// out_trajectory << (i+1) << " " << x << " " << y << " " << a << endl;
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}
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return trajectory;
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}
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vector <CamTrajectory> CVStabilization::SmoothTrajectory(vector <CamTrajectory> &trajectory){
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vector <CamTrajectory> smoothed_trajectory; // trajectory at all frames
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for(size_t i=0; i < trajectory.size(); i++) {
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double sum_x = 0;
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double sum_y = 0;
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double sum_a = 0;
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int count = 0;
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2020-07-05 16:31:37 -03:00
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for(int j=-smoothingWindow; j <= smoothingWindow; j++) {
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2020-07-02 19:09:04 -03:00
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if(i+j >= 0 && i+j < trajectory.size()) {
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sum_x += trajectory[i+j].x;
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sum_y += trajectory[i+j].y;
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sum_a += trajectory[i+j].a;
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count++;
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}
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}
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double avg_a = sum_a / count;
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double avg_x = sum_x / count;
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double avg_y = sum_y / count;
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smoothed_trajectory.push_back(CamTrajectory(avg_x, avg_y, avg_a));
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// out_smoothed_trajectory << (i+1) << " " << avg_x << " " << avg_y << " " << avg_a << endl;
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}
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return smoothed_trajectory;
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}
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// Generate new transformations parameters for each frame to follow the smoothed trajectory
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vector <TransformParam> CVStabilization::GenNewCamPosition(vector <CamTrajectory> & smoothed_trajectory){
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vector <TransformParam> new_prev_to_cur_transform;
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// Accumulated frame to frame transform
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double a = 0;
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double x = 0;
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double y = 0;
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for(size_t i=0; i < prev_to_cur_transform.size(); i++) {
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x += prev_to_cur_transform[i].dx;
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y += prev_to_cur_transform[i].dy;
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a += prev_to_cur_transform[i].da;
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// target - current
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double diff_x = smoothed_trajectory[i].x - x;
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double diff_y = smoothed_trajectory[i].y - y;
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double diff_a = smoothed_trajectory[i].a - a;
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double dx = prev_to_cur_transform[i].dx + diff_x;
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double dy = prev_to_cur_transform[i].dy + diff_y;
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double da = prev_to_cur_transform[i].da + diff_a;
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new_prev_to_cur_transform.push_back(TransformParam(dx, dy, da));
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// out_new_transform << (i+1) << " " << dx << " " << dy << " " << da << endl;
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}
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return new_prev_to_cur_transform;
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}
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2020-07-08 22:31:26 -03:00
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// Save protobuf file
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bool CVStabilization::SaveStabilizedData(std::string outputFilePath){
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// Create tracker message
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libopenshotstabilize::Stabilization stabilizationMessage;
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// Add all frames data
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std::vector<CamTrajectory>::iterator trajData = trajectoryData.begin();
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std::vector<TransformParam>::iterator transData = transformationData.begin();
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for(long int frame_count = 0; trajData != trajectoryData.end(); ++trajData, ++transData){
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AddFrameDataToProto(stabilizationMessage.add_frame(), *trajData, *transData, frame_count);
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}
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// Add timestamp
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*stabilizationMessage.mutable_last_updated() = TimeUtil::SecondsToTimestamp(time(NULL));
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// Write the new message to disk.
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std::fstream output(outputFilePath, ios::out | ios::trunc | ios::binary);
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if (!stabilizationMessage.SerializeToOstream(&output)) {
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cerr << "Failed to write protobuf message." << endl;
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return false;
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}
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// Delete all global objects allocated by libprotobuf.
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google::protobuf::ShutdownProtobufLibrary();
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return true;
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}
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void CVStabilization::AddFrameDataToProto(libopenshotstabilize::Frame* pbFrameData, CamTrajectory& trajData, TransformParam& transData, long int frame_number){
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// Save frame number
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pbFrameData->set_id(frame_number);
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// Save camera trajectory data
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pbFrameData->set_a(trajData.a);
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pbFrameData->set_x(trajData.x);
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pbFrameData->set_y(trajData.y);
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// Save transformation data
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pbFrameData->set_da(transData.da);
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pbFrameData->set_dx(transData.dx);
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pbFrameData->set_dy(transData.dy);
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}
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// Load protobuf file
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bool CVStabilization::LoadStabilizedData(std::string inputFilePath){
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libopenshotstabilize::Stabilization stabilizationMessage;
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// Read the existing tracker message.
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fstream input(inputFilePath, ios::in | ios::binary);
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if (!stabilizationMessage.ParseFromIstream(&input)) {
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cerr << "Failed to parse protobuf message." << endl;
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return false;
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}
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// Make sure the data vectors are empty
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transformationData.clear();
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trajectoryData.clear();
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// Iterate over all frames of the saved message
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for (int i = 0; i < stabilizationMessage.frame_size(); i++) {
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const libopenshotstabilize::Frame& pbFrameData = stabilizationMessage.frame(i);
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int id = pbFrameData.id();
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float x = pbFrameData.x();
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float y = pbFrameData.y();
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float a = pbFrameData.a();
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trajectoryData.push_back(CamTrajectory(x,y,a));
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float dx = pbFrameData.dx();
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float dy = pbFrameData.dy();
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float da = pbFrameData.da();
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transformationData.push_back(TransformParam(dx,dy,da));
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}
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if (stabilizationMessage.has_last_updated()) {
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cout << " Loaded Data. Saved Time Stamp: " << TimeUtil::ToString(stabilizationMessage.last_updated()) << endl;
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}
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// Delete all global objects allocated by libprotobuf.
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google::protobuf::ShutdownProtobufLibrary();
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return true;
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}
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