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@ -36,7 +36,7 @@ def cropImage(im):
@@ -36,7 +36,7 @@ def cropImage(im):
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return np.asarray([sized1[:,:,0], sized1[:,:,1], sized1[:,:,2], sized2[:,:,0], sized2[:,:,1], sized2[:,:,2]]) |
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# the data, shuffled and split between tran and test sets |
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(X_train, y_train), (X_test, y_test) = lfw.load_data() |
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(X_train, y_train), (X_test, y_test) = lfw.load_data("deepfunneled") |
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# crop features |
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X_train = np.asarray(map(cropImage, X_train)) |
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X_test = np.asarray(map(cropImage, X_test)) |
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