base class name resolution

fixed find_obj.py

modules/python/common.cmake

@@ -16,6 +16,7 @@ endforeach(mp)
 ocv_list_filterout(candidate_deps "^opencv_cud(a|ev)")
 ocv_list_filterout(candidate_deps "^opencv_matlab$")
 ocv_list_filterout(candidate_deps "^opencv_ts$")
+ocv_list_filterout(candidate_deps "^opencv_adas$")
 
 ocv_add_module(${MODULE_NAME} BINDINGS OPTIONAL ${candidate_deps})
 
@@ -35,6 +36,7 @@ ocv_list_filterout(opencv_hdrs ".h$")
 ocv_list_filterout(opencv_hdrs "cuda")
 ocv_list_filterout(opencv_hdrs "cudev")
 ocv_list_filterout(opencv_hdrs "opencv2/objdetect/detection_based_tracker.hpp")
+ocv_list_filterout(opencv_hdrs "opencv2/ximgproc/structured_edge_detection.hpp")
 
 set(cv2_generated_hdrs
     "${CMAKE_CURRENT_BINARY_DIR}/pyopencv_generated_include.h"

modules/python/src2/gen2.py

@@ -267,7 +267,7 @@ class ClassInfo(object):
                 #return sys.exit(-1)
             if self.bases and self.bases[0].startswith("cv::"):
                 self.bases[0] = self.bases[0][4:]
-            if self.bases and self.bases[0] == "cv::Algorithm":
+            if self.bases and self.bases[0] == "Algorithm":
                 self.isalgorithm = True
             for m in decl[2]:
                 if m.startswith("="):
@@ -752,8 +752,19 @@ class PythonWrapperGenerator(object):
                 % (classinfo.name, classinfo.cname))
             sys.exit(-1)
         self.classes[classinfo.name] = classinfo
-        if classinfo.bases and not classinfo.isalgorithm:
-            classinfo.isalgorithm = self.classes[classinfo.bases[0].replace("::", "_")].isalgorithm
+
+        if classinfo.bases:
+            chunks = classinfo.bases[0].split('::')
+            base = '_'.join(chunks)
+            while base not in self.classes and len(chunks)>1:
+                del chunks[-2]
+                base = '_'.join(chunks)
+            if base not in self.classes:
+                print("Generator error: unable to resolve base %s for %s" 
+                    % (classinfo.bases[0], classinfo.name))
+                sys.exit(-1)
+            classinfo.bases[0] = "::".join(chunks)
+            classinfo.isalgorithm |= self.classes[base].isalgorithm
 
     def split_decl_name(self, name):
         chunks = name.split('.')

samples/python2/find_obj.py

@@ -4,7 +4,7 @@
 Feature-based image matching sample.
 
 USAGE
-  find_obj.py [--feature=<sift|surf|orb|brisk>[-flann]] [ <image1> <image2> ]
+  find_obj.py [--feature=<sift|surf|orb|akaze|brisk>[-flann]] [ <image1> <image2> ]
 
   --feature  - Feature to use. Can be sift, surf, orb or brisk. Append '-flann'
                to feature name to use Flann-based matcher instead bruteforce.
@@ -23,14 +23,17 @@ FLANN_INDEX_LSH    = 6
 def init_feature(name):
     chunks = name.split('-')
     if chunks[0] == 'sift':
-        detector = cv2.SIFT()
+        detector = cv2.xfeatures2d.SIFT()
         norm = cv2.NORM_L2
     elif chunks[0] == 'surf':
-        detector = cv2.SURF(800)
+        detector = cv2.xfeatures2d.SURF(800)
         norm = cv2.NORM_L2
     elif chunks[0] == 'orb':
         detector = cv2.ORB(400)
         norm = cv2.NORM_HAMMING
+    elif chunks[0] == 'akaze':
+        detector = cv2.AKAZE()
+        norm = cv2.NORM_HAMMING
     elif chunks[0] == 'brisk':
         detector = cv2.BRISK()
         norm = cv2.NORM_HAMMING
@@ -136,8 +139,8 @@ if __name__ == '__main__':
     try:
         fn1, fn2 = args
     except:
-        fn1 = '../c/box.png'
-        fn2 = '../c/box_in_scene.png'
+        fn1 = '../cpp/box.png'
+        fn2 = '../cpp/box_in_scene.png'
 
     img1 = cv2.imread(fn1, 0)
     img2 = cv2.imread(fn2, 0)