copying code
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0d8efd2f05
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1 changed files with 40 additions and 17 deletions
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@ -14,6 +14,8 @@ class Traite_image {
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public:
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public:
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const static int SENSITIVITY_VALUE = 30;
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const static int SENSITIVITY_VALUE = 30;
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const static int BLUR_SIZE = 10;
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const static int BLUR_SIZE = 10;
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const int HORIZONTAL_BORDER_CROP = 20; // In pixels. Crops the border to reduce the black borders from stabilisation being too noticeable.
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Mat prev;
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Mat prev;
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Mat last_T;
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Mat last_T;
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@ -52,9 +54,7 @@ class Traite_image {
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//Mat& input = const_cast<Mat&>(bridge_input->image);
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//Mat& input = const_cast<Mat&>(bridge_input->image);
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const Mat& input = bridge_input->image;
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const Mat& input = bridge_input->image;
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Mat next;
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Mat next;
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Mat next_grey;
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resize(input, next, Size(input.size().width/resize_f, input.size().height/resize_f));
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resize(input, next, Size(input.size().width/resize_f, input.size().height/resize_f));
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cvtColor(next, next_grey, CV_BGR2GRAY);
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Mat output;// = input.clone(); // (input.rows, input.cols, CV_32FC2);
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Mat output;// = input.clone(); // (input.rows, input.cols, CV_32FC2);
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//ROS_INFO("got input");
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//ROS_INFO("got input");
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if (first) {
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if (first) {
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@ -95,8 +95,8 @@ class Traite_image {
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Mat prev_grey, cur_grey;
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Mat prev_grey, cur_grey;
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cvtColor(cur, cur_grey, COLOR_BGR2GRAY);
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cvtColor(cur, cur_grey, COLOR_BGR2GRAY);
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cvtColor(prev, prev_grey, COLOR_BGR2GRAY);
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cvtColor(prev, prev_grey, COLOR_BGR2GRAY);
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Point2f srcTri[3];
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//Point2f srcTri[3];
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Point2f dstTri[3];
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//Point2f dstTri[3];
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Mat warp_mat( 2, 3, CV_32FC1 );
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Mat warp_mat( 2, 3, CV_32FC1 );
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// vector from prev to cur
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// vector from prev to cur
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@ -117,9 +117,19 @@ class Traite_image {
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}
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}
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// translation + rotation only
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// translation + rotation only
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Mat T(2, 3, CV_32FC1);
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// Mat T(2, 3, CV_32FC1);
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T = estimateRigidTransform(prev_corner2, cur_corner2, false); // false = rigid transform, no scaling/shearing
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Mat T = estimateRigidTransform(prev_corner2, cur_corner2, false); // false = rigid transform, no scaling/shearing
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ROS_INFO("coucou1");
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// in rare cases 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 = T.clone();
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}
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T = last_T.clone();*/
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ROS_INFO("coucou2");
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// decompose T
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double dx = T.at<double>(0,2);
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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 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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double da = atan2(T.at<double>(1,0), T.at<double>(0,0));
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@ -136,19 +146,30 @@ class Traite_image {
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// H.at<double>(2,1) = 0.0;
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// H.at<double>(2,1) = 0.0;
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// H.at<double>(2,2) = 1.0;
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// H.at<double>(2,2) = 1.0;
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T.at<double>(0,0) = cos(da);
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Mat T1(2, 3, CV_32FC1);
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T.at<double>(0,1) = -sin(da);
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T1.at<double>(0,0) = cos(da);
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T.at<double>(1,0) = sin(da);
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T1.at<double>(0,1) = -sin(da);
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T.at<double>(1,1) = cos(da);
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T1.at<double>(1,0) = sin(da);
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T1.at<double>(1,1) = cos(da);
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T.at<double>(0,2) = dx;
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T1.at<double>(0,2) = dx;
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T.at<double>(1,2) = dy;
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T1.at<double>(1,2) = dy;
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// in rare cases no transform is found. We'll just use the last known good transform.
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Mat cur2;
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if(T.data == NULL) {
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last_T.copyTo(T);
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warpAffine(cur, cur2, T1, cur.size());
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}
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T.copyTo(last_T);
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int vert_border = HORIZONTAL_BORDER_CROP * prev.rows / prev.cols; // get the aspect ratio correct
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cur2 = cur2(Range(vert_border, cur2.rows-vert_border), Range(HORIZONTAL_BORDER_CROP, cur2.cols-HORIZONTAL_BORDER_CROP));
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// Resize cur2 back to cur size, for better side by side comparison
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resize(cur2, cur2, cur.size());
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output = cur2.clone();
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/*
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/// Set your 3 points to calculate the Affine Transform
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/// Set your 3 points to calculate the Affine Transform
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srcTri[0] = Point2f( 0,0 );
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srcTri[0] = Point2f( 0,0 );
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@ -166,6 +187,8 @@ class Traite_image {
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warpAffine(cur,cur,warp_mat,cv::Size(prev.cols+cur.cols,prev.rows+cur.rows));
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warpAffine(cur,cur,warp_mat,cv::Size(prev.cols+cur.cols,prev.rows+cur.rows));
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//Mat half(output, cv::Rect(0, 0,cur.cols,cur.rows));
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//Mat half(output, cv::Rect(0, 0,cur.cols,cur.rows));
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cur.copyTo(output, cur);
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cur.copyTo(output, cur);
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*
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*/
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}
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}
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void searchForMovement(Mat thresholdImage, Mat &cameraFeed){
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void searchForMovement(Mat thresholdImage, Mat &cameraFeed){
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