A PyTorch implementation of the DeepLab-v3+ model under development. This is basically a subset of a clone of the pytorch-deeplab-xception repo authored by @jfzhang95. This repo is intended for further research on instance-level semantic segmentation.
The model was originally proposed in this paper: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation by Liang-Chieh Chen, et al.
Download the data http://pjreddie.com/media/files/VOCtrainval_11-May-2012.tar Extract the .tar into /data so the directories are like /data/VOC2012/.....
Download the pretrained weights https://drive.google.com/open?id=1NwcwlWqA-0HqAPk3dSNNPipGMF0iS0Zu Put the .tar inside /data
run.sh