Adding of pyhon bindings for dnn module

modules/dnn/samples/googlenet_python.py

@@ -0,0 +1,34 @@
+from __future__ import print_function
+import numpy as np
+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'))
+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()
+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()])