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### 該当のソースコード
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```python
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import numpy as np
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import sys
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from keras.preprocessing import image
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from keras_vggface.vggface import VGGFace
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from keras_vggface import utils
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from keras import backend as K
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from keras.models import Model
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# Based on VGG16 architecture -> old paper(2015)
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model = VGGFace(model='vgg16') # or VGGFace() as default
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# Based on RESNET50 architecture -> new paper(2017)
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#vggface = VGGFace(model='resnet50')
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# Based on SENET50 architecture -> new paper(2017)
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#vggface = VGGFace(model='senet50')
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model.summary()
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# Change the image path with yours.
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img = image.load_img(sys.argv[1], target_size=(224, 224))
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x = image.img_to_array(img)
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x = np.expand_dims(x, axis=0)
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x = utils.preprocess_input(x, version=1) # or version=2
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model_extractfeatures = Model(inputs=model.input, output=model.get_layer('fc8').output)
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fc8_features = model_extractfeatures.predict(x)
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preds = model.predict(x)
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np.set_printoptions(threshold=np.inf)
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#print (fc8_features.transpose())
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print ("\n".join([str(x) for x in fc8_features]))
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```
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```python
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