mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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24 lines
750 B
24 lines
750 B
from __future__ import print_function |
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import numpy as np |
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import cv2 |
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from cv2 import dnn |
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import timeit |
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def timeit_forward(net): |
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print("Runtime:", timeit.timeit(lambda: net.forward(), number=10)) |
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def get_class_list(): |
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with open('synset_words.txt', 'rt') as f: |
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return [x[x.find(" ") + 1:] for x in f] |
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blob = dnn.blobFromImage(cv2.imread('space_shuttle.jpg'), 1, (224, 224), (104, 117, 123), false) |
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print("Input:", blob.shape, blob.dtype) |
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net = dnn.readNetFromCaffe('bvlc_googlenet.prototxt', 'bvlc_googlenet.caffemodel') |
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net.setInput(blob) |
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prob = net.forward() |
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#timeit_forward(net) #Uncomment to check performance |
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print("Output:", prob.shape, prob.dtype) |
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classes = get_class_list() |
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print("Best match", classes[prob.argmax()]) |