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update to Keras 2.2.2
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parent
c90d67bec1
commit
57fd6735a7
3 changed files with 4 additions and 4 deletions
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@ -57,7 +57,7 @@ class LandmarksExtractor(object):
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def __init__ (self, keras):
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def __init__ (self, keras):
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self.keras = keras
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self.keras = keras
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K = self.keras.backend
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K = self.keras.backend
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class TorchBatchNorm2D(self.keras.engine.topology.Layer):
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class TorchBatchNorm2D(self.keras.layers.Layer):
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def __init__(self, axis=-1, momentum=0.99, epsilon=1e-3, **kwargs):
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def __init__(self, axis=-1, momentum=0.99, epsilon=1e-3, **kwargs):
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super(TorchBatchNorm2D, self).__init__(**kwargs)
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super(TorchBatchNorm2D, self).__init__(**kwargs)
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self.supports_masking = True
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self.supports_masking = True
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@ -84,10 +84,10 @@ def MSEMaskLossClass(keras):
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return MSEMaskLoss
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return MSEMaskLoss
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def PixelShufflerClass(keras):
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def PixelShufflerClass(keras):
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class PixelShuffler(keras.engine.topology.Layer):
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class PixelShuffler(keras.layers.Layer):
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def __init__(self, size=(2, 2), data_format=None, **kwargs):
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def __init__(self, size=(2, 2), data_format=None, **kwargs):
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super(PixelShuffler, self).__init__(**kwargs)
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super(PixelShuffler, self).__init__(**kwargs)
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self.data_format = keras.utils.conv_utils.normalize_data_format(data_format)
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self.data_format = keras.backend.common.normalize_data_format(data_format)
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self.size = keras.utils.conv_utils.normalize_tuple(size, 2, 'size')
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self.size = keras.utils.conv_utils.normalize_tuple(size, 2, 'size')
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def call(self, inputs):
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def call(self, inputs):
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@ -1,7 +1,7 @@
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pathlib==1.0.1
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pathlib==1.0.1
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scandir==1.6
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scandir==1.6
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h5py==2.7.1
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h5py==2.7.1
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Keras==2.1.6
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Keras==2.2.2
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opencv-python==3.4.0.12
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opencv-python==3.4.0.12
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tensorflow-gpu==1.8.0
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tensorflow-gpu==1.8.0
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scikit-image
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scikit-image
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