vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

modules/hfs/samples/example.cpp

@@ -0,0 +1,45 @@
+#include "opencv2/core.hpp"
+#include "opencv2/imgcodecs.hpp"
+#include "opencv2/hfs.hpp"
+
+using namespace cv;
+using namespace cv::hfs;
+int main(int argc, char *argv[])
+{
+    // invalid number of command line parameter
+    if( argc != 2 ) {
+        return EXIT_FAILURE;
+    }
+
+    char* path = argv[1];
+    // read in a pictrue to initialize the height and width
+    Mat src = imread(path), res;
+    int _h = src.rows, _w = src.cols;
+
+    // initialize the HfsSegment object
+    // In this example, we used default paramters.
+    // However, bear in mind that you can pass in your
+    // own parameters in with this function.
+    Ptr<HfsSegment> h = HfsSegment::create( _h, _w );
+
+    // segment and write the first result.
+    res = h->performSegmentGpu(src);
+    imwrite( "segment_default_gpu.jpg", res );
+    // also, there is CPU interface for that
+    res = h->performSegmentCpu(src);
+    imwrite( "segment_default_cpu.jpg", res );
+
+    // also, instead of getting a segmented image
+    // from our interface, you can also choose to not to
+    // draw the result on the Mat and only get a matrix
+    // of index. Note that the data type of the returned
+    // Mat in this case is CV_16U
+    Mat idx_mat = h->performSegmentGpu( src, false );
+
+    // also, you can change any parameters as you want
+    h->setSlicSpixelSize(10);
+    res = h->performSegmentGpu(src);
+    imwrite( "segment_changed_param.jpg", res );
+
+    return 0;
+}