hms-idac / unet Goto Github PK
View Code? Open in Web Editor NEWA TensorFlow implementation of the U-Net architecture for pixel classification (image segmentation).
License: MIT License
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RUN with TypeError!
when I run the unet.py I have got an error
"TypeError: Input 'input_sizes' of 'Conv2DBackpropInput' Op has type float32 that does not match expected type of int32."
in
# 'us = tf.nn.relu(tf.nn.conv2d_transpose(data, luX_weights1, output_shape, strides=[1, dsfX[index], dsfX[index], 1], padding='SAME'),name='conv1')'
my tensorflow is 1.3.0
thanks!
need you help!
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