question: detects objects of different sizes in the input image . the detected objects are returned as a list of rectangles . the function is parallelized with the tbb library . note : python a face detection example using cascade classifiers can be found at opencv_source_code/samples/python2/facedetect.py concode_field_sep long nativeObj concode_field_sep boolean load_0 concode_elem_sep void detectMultiScale_3 concode_elem_sep boolean load concode_elem_sep long CascadeClassifier_1 concode_elem_sep long CascadeClassifier_0 concode_elem_sep boolean empty_0 concode_elem_sep void finalize concode_elem_sep void detectMultiScale_1 concode_elem_sep void delete concode_elem_sep void detectMultiScale_2 concode_elem_sep boolean empty concode_elem_sep void detectMultiScale_0
target: void function ( Mat arg0 , MatOfRect arg1 , double arg2 , int arg3 , int arg4 , Size arg5 , Size arg6 ) { Mat loc0 = arg1 ; detectMultiScale_0 ( nativeObj , arg0 . nativeObj , loc0 . nativeObj , arg2 , arg3 , arg4 , arg5 . width , arg5 . height , arg6 . width , arg6 . height ) ; return ; }