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libopenshot/src/CVStabilization.cpp

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