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Merge pull request #9020 from arrybn:fix_googlenet_python_sample

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This commit is contained in:
Vadim Pisarevsky 2017-06-29 11:10:46 +00:00
commit 27c7ef28a7
1 changed files with 4 additions and 14 deletions
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18
samples/dnn/googlenet_python.py
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@ -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 ]
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()])