root / vision / src / v2v3_converter.cpp @ b1055c82
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#include <ros/ros.h> |
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#include <vision/TargetDescriptor.h> |
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#include <geometry_msgs/Point.h> |
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#include <tf/transform_listener.h> |
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#include <opencv/cv.hpp> |
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//#include <cv_bridge/cv_bridge.h>
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ros::Publisher pub; |
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int hk = 25; |
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int sk = 255; |
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int vk = 255; |
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bool isRight(cv_bridge::CvImagePtr img, int p){ |
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return (img->data[p + 1] == img->data[p]); |
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} |
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bool isLeft(cv_bridge::CvImagePtr img, int p){ |
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return (img->data[p - 1] == img->data[p]); |
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} |
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bool isUp(cv_bridge::CvImagePtr img, int p){ |
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return (img->data[p - img->width() * img->channels()] == img->data[p]);
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} |
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bool isDown(cv_bridge::CvImagePtr img, int p){ |
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return (img->data[p + img->width * img->nChannels] == img->data[p]);
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} |
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bool hasAnAdjacent(cv_bridge::CvImagePtr image, int j){ |
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int nl = image->height; // number of lines |
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int nc = image->width; // number of columns CHECK TO MAKE SURE THIS IS RIGHT AND NOT WITH CHANNELS |
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int pos = j / image->nChannels;
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if ((pos % nc) != 0){ |
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if isLeft() return true; |
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} |
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if ((pos / nc) != 0){ |
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if isUp() return true; |
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} |
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if ((pos % nc) != nc - 1){ |
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if isRight() return true; |
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} |
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if ((pos / nc) != nc - 1){ |
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if isDown() return true; |
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} |
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else return false; |
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} |
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/* Detects the blobs in an image within above defined constraints. Transforms image into 1
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* for pixels in the blob, 0 for not in the blob.
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*/
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void detectBlobs(cv_bridge::CvImagePtr image, int * comX, int * comY, int * area){ |
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int nl = image->height; // number of lines |
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int nc = image->width * image->nChannels; // number of columns |
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int step = image->widthStep; // effective width |
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// process image
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for (int i = 1; i < nl; i++){ |
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for (int j = 0; j < nc; j+= image->nChannels){ |
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if (image->data[j] > 30 || image->data[j] < 20){ |
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image->data[j] = 1;
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image->data[j+1] = 1; |
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image->data[j+2] = 1; |
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} |
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else {
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image->data[j] = 0;
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image->data[j+1] = 0; |
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image->data[j+2] = 0; |
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} |
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} |
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} |
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int comXSum = 0; |
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int comYSum = 0; |
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int blobPixelCount = 0; |
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int maxHeight = 0; |
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int minHeight = 0; |
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for (int i = 0; i < image->width * image->height * image->nChannels; |
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i+=image->nChannels){ |
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if ( !(data[i] == 1 && hasAnAdjacent(image, i)) ){ |
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data[i] = 0;
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data[i + 1] = 0; |
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data[i + 2] = 0; |
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} |
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blobPixelCount++; |
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comXSum += data[i] % nc + 1;
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comYSum += data[i] / nc + 1;
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} |
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comXSum /= blobPixelCount; |
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comYSum /= blobPixelCount; |
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*area = blobPixelCount; |
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*comX = comXSum; |
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*comY = comYSum; |
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} |
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void target_cb(const sensor_msgs::msg::_Image::Image orig) { |
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tf::TransformListener listener; |
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geometry_msgs::Point point; |
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tf::StampedTransform transform; |
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try {
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listener.lookupTransform("/camera", "/kinect", ros::Time(0), transform); |
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} |
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catch (tf::TransformException ex) {
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ROS_ERROR("%s", ex.what());
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} |
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// convert to OpenCV
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Image * source = &orig; // pointer to the image
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cv_bridge::CvImagePtr origRGBImage = toCvCopy(const sensor_msgs::Image& source,
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const std::string& encoding = "rgb8"); // convert to OpenCV, CHECK FOR SYNTAX |
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// convert to HSV
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cv_bridge::CvImagePtr HSVImage; |
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cvCvtColor (origRGBImage, HSVImage, CV_RGB2HSV); |
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// detect blob
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int comX;
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int comY;
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int area;
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detectBlobs(HSVImage, &comX, &comY, &area); |
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// give distance as inversely proportional to area, for (x,y,z)
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int distance = 100.0 / (float) area; |
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// fill point based on target and tf
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geometry_msgs::Point origPoint = new Point_();
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origPoint.x = comX; |
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origPoint.y = comY; |
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origPoint.z = distance; |
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// TODO transform into point
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geometry_msgs::Point point; |
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pub.publish(point); |
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} |
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int main(int argc, char **argv) { |
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ros::init(argc, argv, "v2v3_converter");
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ros::NodeHandle n; |
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ros::Subscriber sub = n.subscribe("openni/image", 1, target_cb); |
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pub = n.advertise<geometry_msgs::Point>("target_3d", 1000); |
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ros::spin(); |
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return 0; |
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} |