with open('synset_words.txt', 'rt') as f:
return [x[x.find(" ") + 1:] for x in f]
-blob = dnn.blobFromImage(cv2.imread('space_shuttle.jpg'), 1, (224, 224), (104, 117, 123), false)
+blob = dnn.blobFromImage(cv2.imread('space_shuttle.jpg'), 1, (224, 224), (104, 117, 123), False)
print("Input:", blob.shape, blob.dtype)
net = dnn.readNetFromCaffe('bvlc_googlenet.prototxt', 'bvlc_googlenet.caffemodel')
cols = frame.shape[1]
rows = frame.shape[0]
- net.setInput(dnn.blobFromImage(frame, 1.0, (inWidth, inHeight), (104.0, 177.0, 123.0), false))
+ net.setInput(dnn.blobFromImage(frame, 1.0, (inWidth, inHeight), (104.0, 177.0, 123.0), False))
detections = net.forward()
perf_stats = net.getPerfProfile()