swig/python detected a memory leak of type 'int64 *', no destructor found. Traceback (most recent call last): File "DrawAHat.py", line 50, in <module> VideoCapturePlayer(processFunction=drawHatOnFaces).main() File "/usr/local/lib/python2.6/dist-packages/pycam/VideoCapturePlayer.py", line 160, in main self.get_and_flip() File "/usr/local/lib/python2.6/dist-packages/pycam/VideoCapturePlayer.py", line 126, in get_and_flip res = self.processFunction(self.snapshot) File "DrawAHat.py", line 36, in drawHatOnFaces faces = pygameFaceDetect.getFaces(surf) File "/usr/local/lib/python2.6/dist-packages/pycam/pygameFaceDetect.py", line 51, in getFaces return faceDetect.detectObject(img) File "/usr/local/lib/python2.6/dist-packages/pycam/objectDetect.py", line 130, in detectObject t = cvGetTickCount() - t TypeError: unsupported operand type(s) for -: 'SwigPyObject' and 'SwigPyObject' swig/python detected a memory leak of type 'int64 *', no destructor found.
This afternoon, I jumped into these examples again and tried to figure out what the messages meant. But I know nothing about the swig/python lines. Then, I found out that I should step into objectDetect.py which is in charge of the detection of objects. The error messages said that the problems caused by something about types, and I found the cvGetTickCount() were used to get ticks for estimating fps, which is not crucial and can be isolated!
So I commented out the lines related to cvGetTickCount(), reinstalled the pycam library, and retried the DrawAHat.py example. It worked!
def detectObject(self,img): """ This should be pure opencv and reasonably quick. It carrys out the actual detection, and returns a list of objects found """ # Could this go into init? gray = cvCreateImage( cvSize(img.width,img.height), 8, 1 ) small_img = cvCreateImage( cvSize( cvRound (img.width/self.image_scale), cvRound (img.height/self.image_scale)), 8, 1 ) cvCvtColor( img, gray, CV_BGR2GRAY ) cvResize( gray, small_img, CV_INTER_LINEAR ) cvEqualizeHist( small_img, small_img ) cvClearMemStorage( self.storage ) if( self.cascade ): #t = cvGetTickCount() objects = cvHaarDetectObjects( small_img, self.cascade, self.storage, self.haar_scale, self.min_neighbors, self.haar_flags, self.min_size ) #t = cvGetTickCount() - t #logging.debug( "%i objects found, detection time = %gms" % (objects.total,t/(cvGetTickFrequency()*1000.)) ) return objects else: logging.error("no cascade")
Here are two funny trials. Spider-Man and Guy Fawkes:
 These examples are located in ``pycam-read-only/pycam/examples/opencv''