Comments (1)
Thanks for your interest. The data augmentation parameter parsing is not well written, some part of it is written within the dataset class. But our results in the old paper are generated from the same version in this repo. Besides, we have some updates in the code and updated results in our new version paper, but neither the new code nor the new paper can be published now., will release them in the future.
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Related Issues (20)
- Some question about pascal voc test set HOT 1
- 关于arxiv论文 HOT 1
- Compile Errors HOT 5
- pretrained model in google driver untar failed HOT 2
- Can I run the code in one GPU? HOT 4
- C++ Api HOT 1
- Functionality difference between pytorch batchnorm and synchronised batchnorm HOT 3
- Bad results on custom training data HOT 4
- TypeError: __init__() got an unexpected keyword argument 'find_unused_parameters' HOT 1
- How to load pretrained weights for training HOT 2
- Tips for better training HOT 2
- RuntimeError: storage has wrong size: expected -4885659930368473377 got 589824 HOT 1
- ImportError: No module named 'inplace_abn' HOT 5
- Which Nvidia GPU card do you use for training? HOT 2
- Get the confidence of the segmented class during test tme HOT 4
- What is the License for this repo? HOT 1
- RuntimeError: ONNX export failed: Couldn't export Python operator InPlaceABNSync
- 关于论文中对Cityscapes的测试结果 HOT 3
- import encoding issue : note: template argument deduction/substitution failed:\nninja: build stopped: subcommand failed.\n" HOT 1
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