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A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

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Dilation-Pytorch-Semantic Segmentation

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun. Pretrained weights are obtained from dialation-Tensorflow and thanks to Andrea Palazzi for his work from which this work has been inspired.

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Output

How To

  1. Download the pretrained weights from cityscapes
  2. Keep that in the data folder
  3. Run CAN_network.py for the demo.

Notes I have kept the output image size 1024x1024x3 due to memory constraint. If you want the size to be 1024x2048x3, have enough memory and change the sizes appropriately in the code.

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A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

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