Comments (5)
may be you can reduce the batch size according to the input images
from segnet.tf.
It seems I couldn't use the annotation matrix, but once I switched to a color-mapped image, it worked.
from segnet.tf.
for me too it worked with color map......
but to view it in tensor board label and output image is different from input image while testing......its kind of confusing..... is there any way to write the output images in a directory???
from segnet.tf.
I'm not sure. TensorBoard worked for me to display both my training and testing results.
from segnet.tf.
for me in case of training its working fine....but in testing tensor board is not working as expected. it will be very helpful if we find the way to write them in some directory out from tensor board.
from segnet.tf.
Related Issues (13)
- Missing call to self.decode() HOT 2
- input and dataset HOT 3
- The unpool is not standard right ? HOT 2
- OutOfRangeError HOT 1
- OutOfRangeError revisited HOT 1
- Training issue HOT 5
- Varaibles init errors HOT 2
- Sample dataset HOT 1
- final outputs
- VGG16 Weight Initialisation
- how to see logs and final image inputs
- Error while training HOT 1
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from segnet.tf.