Code cleanup in progress
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1d4447e29a
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1 changed files with 11 additions and 14 deletions
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@ -13,7 +13,7 @@ using namespace std;
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class Traite_image {
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class Traite_image {
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public:
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public:
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const static int SENSITIVITY_VALUE = 20;
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const static int SENSITIVITY_VALUE = 20;
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const static int BLUR_Size = 9;
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const static int BLUR_SIZE = 9;
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const static int CLOSE_SIZE = 30;
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const static int CLOSE_SIZE = 30;
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const static int ERODE_SIZE = 2;
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const static int ERODE_SIZE = 2;
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const static int NB_FRAME_DROP = 1;
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const static int NB_FRAME_DROP = 1;
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@ -29,10 +29,10 @@ class Traite_image {
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ros::NodeHandle n;
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ros::NodeHandle n;
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image_transport::ImageTransport it;
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image_transport::ImageTransport it;
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image_transport::Subscriber sub;
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image_transport::Publisher pub_img;
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image_transport::Publisher pub_img;
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image_transport::Publisher pub_thres;
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image_transport::Publisher pub_thres;
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ros::Publisher pub_cmd;
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ros::Publisher pub_cmd;
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image_transport::Subscriber sub;
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Traite_image() : n("~"),it(n) {
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Traite_image() : n("~"),it(n) {
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@ -43,7 +43,8 @@ class Traite_image {
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}
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}
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// This processes an image and publishes the result.
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// Callback function executedwhen recieving an image from the camera
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// Publishes to /papillon/image_out
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void on_image(const sensor_msgs::ImageConstPtr& msg) {
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void on_image(const sensor_msgs::ImageConstPtr& msg) {
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cv_bridge::CvImageConstPtr bridge_input;
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cv_bridge::CvImageConstPtr bridge_input;
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@ -118,11 +119,7 @@ class Traite_image {
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}
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}
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T.copyTo(last_T);
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T.copyTo(last_T);
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cv::Mat cur2;
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cv::warpAffine(cur, output, T, cur.size(),cv::INTER_CUBIC|cv::WARP_INVERSE_MAP);
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cv::warpAffine(cur, cur2, T, cur.size(),cv::INTER_CUBIC|cv::WARP_INVERSE_MAP);
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cur2.copyTo(output);
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}
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}
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void searchForMovement(cv::Mat prev, cv::Mat cur, cv::Mat &output, cv::Mat &out2){
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void searchForMovement(cv::Mat prev, cv::Mat cur, cv::Mat &output, cv::Mat &out2){
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@ -130,8 +127,8 @@ class Traite_image {
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cur.copyTo(output);
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cur.copyTo(output);
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cv::cvtColor(prev, prev_grey, cv::COLOR_BGR2GRAY);
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cv::cvtColor(prev, prev_grey, cv::COLOR_BGR2GRAY);
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cv::cvtColor(cur, cur_grey, cv::COLOR_BGR2GRAY);
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cv::cvtColor(cur, cur_grey, cv::COLOR_BGR2GRAY);
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cv::GaussianBlur(prev_grey, prev_grey, cv::Size(BLUR_Size,BLUR_Size), 3.0);
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cv::GaussianBlur(prev_grey, prev_grey, cv::Size(BLUR_SIZE,BLUR_SIZE), 3.0);
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cv::GaussianBlur(cur_grey, cur_grey, cv::Size(BLUR_Size,BLUR_Size), 3.0);
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cv::GaussianBlur(cur_grey, cur_grey, cv::Size(BLUR_SIZE,BLUR_SIZE), 3.0);
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// Subtract the 2 last frames and threshold them
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// Subtract the 2 last frames and threshold them
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cv::Mat thres;
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cv::Mat thres;
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