zhanghang1989 / zhanghang1989/PyTorch-Encoding
Which index matches which class in ADE20k?
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- Python
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Description
When I output with any model, I got probabilities per class on each pixel. E.g. when I run
model = encoding.models.get_model('DeepLab_ResNeSt101_ADE', pretrained=True).eval()
img = torch.randn(1,3,256,256)
output = model.evaluate(img)
print(output.shape)
I got torch.Size([1, 150, 256, 256]), since there are 150 classes in ADE20k dataset.
However, I did not find anywhere in the code, which prediction of the output[0, :, x, y] corresponds to which of the 150 classes in ADE dataset. Where can I find list of classes?
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Research direction
Start by searching the repository for ADE20k dataset class definitions and the model output mapping used by DeepLab_ResNeSt101_ADE. Done means identifying which class name corresponds to each output index and documenting where that mapping can be found.
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Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100