I saw that the code saves images with a shape of 64x64 pixels into TFRecords.
Then donkey.py reshapes data first into 64x64 then it extracts a random crop of 54x54.
I tried to change these dimensions because I want to use larger size.
I changed the line:
image = tf.reshape(image, [64, 64, 3])
with
image = tf.reshape(image, [128, 128, 3])
But I obtain the following error
ValueError: Dimensions must be equal, but are 128 and 32 for 'sparse_softmax_cross_entropy_loss/xentropy/xentropy' (op: 'SparseSoftmaxCrossEntropyWithLogits') with input shapes: [128,7], [32].
How can I achieve my goal?
I saw that the code saves images with a shape of 64x64 pixels into TFRecords.
Then donkey.py reshapes data first into 64x64 then it extracts a random crop of 54x54.
I tried to change these dimensions because I want to use larger size.
I changed the line:
image = tf.reshape(image, [64, 64, 3])with
image = tf.reshape(image, [128, 128, 3])But I obtain the following error
ValueError: Dimensions must be equal, but are 128 and 32 for 'sparse_softmax_cross_entropy_loss/xentropy/xentropy' (op: 'SparseSoftmaxCrossEntropyWithLogits') with input shapes: [128,7], [32].How can I achieve my goal?