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Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

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![image](https://user-images.githubusercontent.com/73007745/162996068-e6831909-d66d-4f8f-84c1-6c7371744e6e.png) This error will be reported at 20% of the first round of training. Can you tell me the reason? How to solve it? My configuration is two pieces of...

This adds `hubconf.py` so that, for example, the following can work when "Ivan1248" is replaced with "dvlab-research": ``` py model = torch.hub.load('Ivan1248/Context-Aware-Consistency', 'DeepLabV3Plus', backbone='resnet50', pretrained=True, num_classes=21) ```

when use "python3 train.py --config configs/voc_cac_deeplabv3+_resnet50_1over8_datalist0.json" with two GPUS to run , i find that one GPUS imput image size is (1,3,335,500) while another is (1,3,366,500) . in this case...

Thank you for your excellent work. How to visualize the results?

![Uploading image.png…]() def _train_epoch(self, epoch): raise NotImplementedError