Comments (7)
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same problems!
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I recommend Zhang Hang's repo to install torch and torch-encoding
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@junfu1115 Does it mean pytorch1.0 is also ok for result reproducing? I have tried to reproduce the result with torch=0.4.1, however, the result is 78.94, which is 1 point lower than yours. Thanks a lot.
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@MendelXu same torch=0.4.1 here, got mIoU 0.7991
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@wuusn This is really weird...Even after I change to pytorch1.0, the mIOU is only 0.795, which is still lower than yours.
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@MendelXu Hi, I am reproducing the result too. I just got 0.7730 with PyTorch 1.0 on the val set. I notice that the result of the 15th category is very lower than the provided model by the author, 0.4574 vs 0.8530. I wonder what caused this, can you tell me your system envs and any special settings (Like dataset processing)? Thanks a lot.
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Related Issues (20)
- How to visualize the attention map? HOT 1
- No module named 'encoding'?how to solve it? HOT 7
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- 关于pascal_voc
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- Connection Error when downloading Pascal Dataset HOT 3
- pre-training weight HOT 1
- When i try to train or test danet i get this error HOT 1
- TypeError: cross_entropy_loss(): argument 'input' (position 1) must be Tensor, not tuple HOT 1
- DRAN model in MMsegmentation? HOT 1
- Failed downloading url HOT 1
- requests.exceptions.ConnectionError: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))
- ValueError: operands could not be broadcast together with shapes (1,1024,2048) (1024,2048,4)
- AttributeError: 'tuple' object has no attribute 'log_softmax'` HOT 2
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- python setup.py install
- The pretrained model in your Google drive is broken HOT 1
- train this
- 训练参数
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