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opencv_demo_node.cpp
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opencv_demo_node.cpp
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#include <ros/ros.h>
#include <grid_map_ros/grid_map_ros.hpp>
#include <grid_map_cv/grid_map_cv.hpp>
#include <cv_bridge/cv_bridge.h>
#include <opencv2/highgui/highgui.hpp>
using namespace grid_map;
using namespace ros;
int main(int argc, char** argv)
{
// Initialize node and publisher.
init(argc, argv, "opencv_demo");
NodeHandle nodeHandle("~");
Publisher publisher = nodeHandle.advertise<grid_map_msgs::GridMap>("grid_map", 1, true);
const bool useTransparency = false;
// Create grid map.
GridMap map({"original", "elevation"});
map.setFrameId("map");
map.setGeometry(Length(1.2, 2.0), 0.01);
ROS_INFO("Created map with size %f x %f m (%i x %i cells).",
map.getLength().x(), map.getLength().y(),
map.getSize()(0), map.getSize()(1));
// Add data.
if (!useTransparency) map["original"].setZero();
grid_map::Polygon polygon;
polygon.setFrameId(map.getFrameId());
polygon.addVertex(Position( 0.480, 0.000));
polygon.addVertex(Position( 0.164, 0.155));
polygon.addVertex(Position( 0.116, 0.500));
polygon.addVertex(Position(-0.133, 0.250));
polygon.addVertex(Position(-0.480, 0.399));
polygon.addVertex(Position(-0.316, 0.000));
polygon.addVertex(Position(-0.480, -0.399));
polygon.addVertex(Position(-0.133, -0.250));
polygon.addVertex(Position( 0.116, -0.500));
polygon.addVertex(Position( 0.164, -0.155));
polygon.addVertex(Position( 0.480, 0.000));
for (grid_map::PolygonIterator iterator(map, polygon); !iterator.isPastEnd(); ++iterator) {
map.at("original", *iterator) = 0.3;
}
// Convert to CV image.
cv::Mat originalImage;
if (useTransparency) {
// Note: The template parameters have to be set based on your encoding
// of the image. For 8-bit images use `unsigned char`.
GridMapCvConverter::toImage<unsigned short, 4>(map, "original", CV_16UC4, 0.0, 0.3, originalImage);
} else {
GridMapCvConverter::toImage<unsigned short, 1>(map, "original", CV_16UC1, 0.0, 0.3, originalImage);
}
// Create OpenCV window.
cv::namedWindow("OpenCV Demo");
// Work with copy of image in a loop.
while (nodeHandle.ok()) {
// Initialize.
ros::Time time = ros::Time::now();
map.setTimestamp(time.toNSec());
cv::Mat modifiedImage;
int blurRadius = 200 - abs((int)(200.0 * sin(time.toSec())));
blurRadius = blurRadius - (blurRadius % 2) + 1;
// Apply Gaussian blur.
cv::GaussianBlur(originalImage, modifiedImage, cv::Size(blurRadius, blurRadius), 0.0, 0.0);
// Visualize as image.
cv::imshow("OpenCV Demo", modifiedImage);
cv::waitKey(40);
// Convert resulting image to a grid map.
if (useTransparency) {
GridMapCvConverter::addLayerFromImage<unsigned short, 4>(modifiedImage, "elevation", map, 0.0, 0.3, 0.3);
} else {
GridMapCvConverter::addLayerFromImage<unsigned short, 1>(modifiedImage, "elevation", map, 0.0, 0.3);
}
// Publish grid map.
grid_map_msgs::GridMap message;
GridMapRosConverter::toMessage(map, message);
publisher.publish(message);
ROS_INFO_STREAM("Published image and grid map with blur radius " << blurRadius << ".");
}
return 0;
}