message: Fixed python sample for googlenet in dnn
diff: @@ -4,31 +4,21 @@ import cv2
  from cv2 import dnn
  import timeit
  -def prepare_image(img):
  - img = cv2.resize(img, (224, 224))
  - #convert interleaved image (RGBRGB) to planar(RRGGBB)
  - blob = np.moveaxis(img, 2, 0)
  - blob = np.reshape(blob.astype(np.float32), (-1, 3, 224, 224))
  - return blob
  -
  def timeit_forward(net):
  - print("OpenCL:", cv2.ocl.useOpenCL())
  print("Runtime:", timeit.timeit(lambda: net.forward(), number=10))
  def get_class_list():
  with open('synset_words.txt', 'rt') as f:
  return [x[x.find(" ") + 1:] for x in f]
  -blob = prepare_image(cv2.imread('space_shuttle.jpg'))
  +blob = dnn.blobFromImage(cv2.imread('space_shuttle.jpg'), 1, (224, 224), (104, 117, 123))
  print("Input:", blob.shape, blob.dtype)
  -cv2.ocl.setUseOpenCL(True) #Disable OCL if you want
  net = dnn.readNetFromCaffe('bvlc_googlenet.prototxt', 'bvlc_googlenet.caffemodel')
  -net.setBlob(".data", blob)
  -net.forward()
  +net.setInput(blob)
  +prob = net.forward()
  #timeit_forward(net) #Uncomment to check performance
  -prob = net.getBlob("prob")
  print("Output:", prob.shape, prob.dtype)
  classes = get_class_list()
  print("Best match", classes[prob.argmax()])
  \ No newline at end of file
  