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Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

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Anyone trying out instance segmentation with ade20k image sets?

This link seems to be removed. `http://sceneparsing.csail.mit.edu/model/pretrained_resnet/resnext101-imagenet.pth`

I just found this repo after banging my head a few times in DeepLab and not getting any answers. The post on Nvidia's website mentioned that the Semantic Segmentation can...

the link returns: http 404..

Great work! I am wondering the reproduced performance on the CityScapes. It would be great if you could share the related results.

help wanted

Really good repo. I have a small question about the influence of the DSN, could you share your results w/o the dsn supervision? I find that the influence of DSN...

I've used the download_ADE20K.sh download the dataset, the data downloaded is ADEChallengeData2016 with 20210 training images. The official link of ADE20K shows that the training set of the ADE20K contains...

I cannot access the link: http://scenesegmentation.csail.mit.edu/. ![微信图片_20240121020534](https://github.com/CSAILVision/semantic-segmentation-pytorch/assets/114737039/b549dd7b-666a-4bef-b4d6-1170b103e23c)

the index of object150_info.csv start from 1, but pred start from 0. So it should be names[int(row[0]) - 1] instead of names[int(row[0])]

This pull request adds a new file, `test_cpu.py`, which enables users to run tests on a CPU instead of a GPU. The new file takes the same arguments as the...