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solve image_dim_ordering problem #387

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solve image_dim_ordering problem #387

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4 changes: 2 additions & 2 deletions keras_layers/keras_layer_AnchorBoxes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -168,7 +168,7 @@ def call(self, x, mask=None):
wh_list = np.array(wh_list)

# We need the shape of the input tensor
if K.image_dim_ordering() == 'tf':
if K.common.image_dim_ordering() == 'tf':
batch_size, feature_map_height, feature_map_width, feature_map_channels = x._keras_shape
else: # Not yet relevant since TensorFlow is the only supported backend right now, but it can't harm to have this in here for the future
batch_size, feature_map_channels, feature_map_height, feature_map_width = x._keras_shape
Expand Down Expand Up @@ -255,7 +255,7 @@ def call(self, x, mask=None):
return boxes_tensor

def compute_output_shape(self, input_shape):
if K.image_dim_ordering() == 'tf':
if K.common.image_dim_ordering() == 'tf':
batch_size, feature_map_height, feature_map_width, feature_map_channels = input_shape
else: # Not yet relevant since TensorFlow is the only supported backend right now, but it can't harm to have this in here for the future
batch_size, feature_map_channels, feature_map_height, feature_map_width = input_shape
Expand Down