davidea / dilation-keras Goto Github PK
View Code? Open in Web Editor NEWMulti-Scale Context Aggregation by Dilated Convolutions in Keras.
License: MIT License
Multi-Scale Context Aggregation by Dilated Convolutions in Keras.
License: MIT License
I am facing problem in training my dataset of pascal voc(smaller one) on this project. How to implement category crossentropy for pixel level segmentation.
Hi @DavideA ,
Thanks for your dilated convolution implementation! That's a precious work, as such a model is harder to master than other semantic segmentation architectures.
I am currently looking at your code, and I was wondering how to run a simple prediction. I just ran python predict.py
, as suggested by your README
file. However, I get a value error as follows:
ValueError: Negative dimension size caused by subtracting 3 from 1 for 'conv1_2/convolution' (op: 'Conv2D') with input shapes: [?,1,1394,64], [3,3,64,64].
Am I missing something?
I ran it into a virtual env with following package versions:
Thank you for your contribution!
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