From 8bd67f32036112be6a64ba95320ef6d7101d3abd Mon Sep 17 00:00:00 2001 From: samilyjcc Date: Mon, 23 May 2016 15:58:52 +0200 Subject: [PATCH] copying code --- src/papillon.cpp | 57 +++++++++++++++++++++++++++++++++--------------- 1 file changed, 40 insertions(+), 17 deletions(-) diff --git a/src/papillon.cpp b/src/papillon.cpp index 3d35ba1..927af9a 100644 --- a/src/papillon.cpp +++ b/src/papillon.cpp @@ -14,6 +14,8 @@ class Traite_image { public: const static int SENSITIVITY_VALUE = 30; const static int BLUR_SIZE = 10; + const int HORIZONTAL_BORDER_CROP = 20; // In pixels. Crops the border to reduce the black borders from stabilisation being too noticeable. + Mat prev; Mat last_T; @@ -52,9 +54,7 @@ class Traite_image { //Mat& input = const_cast(bridge_input->image); const Mat& input = bridge_input->image; Mat next; - Mat next_grey; resize(input, next, Size(input.size().width/resize_f, input.size().height/resize_f)); - cvtColor(next, next_grey, CV_BGR2GRAY); Mat output;// = input.clone(); // (input.rows, input.cols, CV_32FC2); //ROS_INFO("got input"); if (first) { @@ -95,8 +95,8 @@ class Traite_image { Mat prev_grey, cur_grey; cvtColor(cur, cur_grey, COLOR_BGR2GRAY); cvtColor(prev, prev_grey, COLOR_BGR2GRAY); - Point2f srcTri[3]; - Point2f dstTri[3]; + //Point2f srcTri[3]; + //Point2f dstTri[3]; Mat warp_mat( 2, 3, CV_32FC1 ); // vector from prev to cur @@ -117,9 +117,19 @@ class Traite_image { } // translation + rotation only - Mat T(2, 3, CV_32FC1); - T = estimateRigidTransform(prev_corner2, cur_corner2, false); // false = rigid transform, no scaling/shearing + // Mat T(2, 3, CV_32FC1); + Mat T = estimateRigidTransform(prev_corner2, cur_corner2, false); // false = rigid transform, no scaling/shearing + ROS_INFO("coucou1"); + // in rare cases no transform is found. We'll just use the last known good transform. + /*if(T.data == NULL) { + last_T = T.clone(); + } + + T = last_T.clone();*/ + ROS_INFO("coucou2"); + + // decompose T double dx = T.at(0,2); double dy = T.at(1,2); double da = atan2(T.at(1,0), T.at(0,0)); @@ -136,19 +146,30 @@ class Traite_image { // H.at(2,1) = 0.0; // H.at(2,2) = 1.0; - T.at(0,0) = cos(da); - T.at(0,1) = -sin(da); - T.at(1,0) = sin(da); - T.at(1,1) = cos(da); + Mat T1(2, 3, CV_32FC1); + T1.at(0,0) = cos(da); + T1.at(0,1) = -sin(da); + T1.at(1,0) = sin(da); + T1.at(1,1) = cos(da); - T.at(0,2) = dx; - T.at(1,2) = dy; + T1.at(0,2) = dx; + T1.at(1,2) = dy; + + Mat cur2; - // in rare cases 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); + warpAffine(cur, cur2, T1, cur.size()); + + + int vert_border = HORIZONTAL_BORDER_CROP * prev.rows / prev.cols; // get the aspect ratio correct + + cur2 = cur2(Range(vert_border, cur2.rows-vert_border), Range(HORIZONTAL_BORDER_CROP, cur2.cols-HORIZONTAL_BORDER_CROP)); + + // Resize cur2 back to cur size, for better side by side comparison + resize(cur2, cur2, cur.size()); + + output = cur2.clone(); + + /* /// Set your 3 points to calculate the Affine Transform srcTri[0] = Point2f( 0,0 ); @@ -166,6 +187,8 @@ class Traite_image { warpAffine(cur,cur,warp_mat,cv::Size(prev.cols+cur.cols,prev.rows+cur.rows)); //Mat half(output, cv::Rect(0, 0,cur.cols,cur.rows)); cur.copyTo(output, cur); + * + */ } void searchForMovement(Mat thresholdImage, Mat &cameraFeed){