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How can I achieve the human parsing task，Do you have any instructions？
xddlj updated
2 years ago
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- [x] OpenImages (#274)
- [x] VoTT (#573)
- [x] CelebA (#484)
- [x] SYNTHIA (#532)
- [ ] Veri776 (re-indefication)
- [x] CIFAR (#225)
- [x] MNIST (#234)
- [x] Fashion-MNIST (#234)
- [x] Kineti…
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Hello, I tried to run contrastive seg with memory bank, but the code seems that it cannot connect to **loss_contrast_mem.py** and I cannot find a suitable seg_net to conduct in **trainer_contrastive.p…
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Hi,
Thanks for the advance work you have done! This model helped me a lot.
I would also like to retrain the model for one class(coco-person), and I have browsed many related issues, but I encounter…
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Hi,
I try to reproduce your code (gta5 -> cityscapes) and I found that it has a very slow training speed, which is nearly 4x slower than the DACS. I wonder why... And also, can I ask you the total tr…
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Hello. I installed your package correctly and I wanted to do the training with the cityscape datasets but I got this error:
#torch.nn.NLLLoss for more details.
warnings.warn("NLLLoss2d has been …
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Hi!
I'm trying to train the mask2former beit adapter on a customized dataset and I modified the config file based on mask2former_beit_adapter_large_896_80k_cityscapes_ss.py, during training, there is…
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hi，
hi, can u give a train &test Guide？
the readme is not clear.
the EDAnet is a wonderful Algorithm, I think many people would like it.
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Thank you for sharing the code, It is great work
I wonder if there any guiding scripts for training custom dataset with only one class.
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Hi, I tried to run the training code with the 1m config but got significantly worse performance compared to the performance reported in the paper. I notice that you mentioned in the paper that batch s…