Merge pull request #1093 from lhelontra:py_selective_search

modules/ximgproc/include/opencv2/ximgproc/segmentation.hpp

@@ -236,7 +236,7 @@ namespace cv {
                             /** @brief Based on all images, graph segmentations and stragies, computes all possible rects and return them
                                 @param rects The list of rects. The first ones are more relevents than the lasts ones.
                             */
-                            CV_WRAP virtual void process(std::vector<Rect>& rects) = 0;
+                            CV_WRAP virtual void process(CV_OUT std::vector<Rect>& rects) = 0;
                     };
 
                     /** @brief Create a new SelectiveSearchSegmentation class.

modules/ximgproc/samples/selectivesearchsegmentation_demo.py

+#!/usr/bin/env python
+
+'''
+A program demonstrating the use and capabilities of a particular image segmentation algorithm described
+in Jasper R. R. Uijlings, Koen E. A. van de Sande, Theo Gevers, Arnold W. M. Smeulders:
+    "Selective Search for Object Recognition"
+International Journal of Computer Vision, Volume 104 (2), page 154-171, 2013
+Usage:
+    ./selectivesearchsegmentation_demo.py input_image (single|fast|quality)
+Use "a" to display less rects, 'd' to display more rects, "q" to quit.
+'''
+
+import cv2
+import sys
+
+if __name__ == '__main__':
+    img = cv2.imread(sys.argv[1])
+
+    cv2.setUseOptimized(True)
+    cv2.setNumThreads(8)
+
+    gs = cv2.ximgproc.segmentation.createSelectiveSearchSegmentation()
+    gs.setBaseImage(img)
+
+    if (sys.argv[2][0] == 's'):
+        gs.switchToSingleStrategy()
+
+    elif (sys.argv[2][0] == 'f'):
+        gs.switchToSelectiveSearchFast()
+
+    elif (sys.argv[2][0] == 'q'):
+        gs.switchToSelectiveSearchQuality()
+    else:
+        print(__doc__)
+        sys.exit(1)
+
+    rects = gs.process()
+    nb_rects = 10
+
+    while True:
+        wimg = img.copy()
+
+        for i in range(len(rects)):
+            if (i < nb_rects):
+                x, y, w, h = rects[i]
+                cv2.rectangle(wimg, (x, y), (x+w, y+h), (0, 255, 0), 1, cv2.LINE_AA)
+
+        cv2.imshow("Output", wimg);
+        c = cv2.waitKey()
+
+        if (c == 100):
+            nb_rects += 10
+
+        elif (c == 97 and nb_rects > 10):
+            nb_rects -= 10
+
+        elif (c == 113):
+            break
+
+    cv2.destroyAllWindows()