Comments (1)
You can use the pre-trained CycleGAN weights I used to generate the synthetic images, please follow the instructions in the "Generate synthetic data with CycleGAN" section of the README file. For training, our experience is to have an early stop in the second stage, the model seems to overfit afterward.
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Related Issues (20)
- could you explain how to train full network step by step? HOT 3
- Reported Accuracy for cross camera adaptation on which dataset HOT 3
- What are motor and bike classes for Cityscapes HOT 1
- could you explain how to train this network with a custom dataset? HOT 6
- image size when generating from pre-trained weight HOT 3
- No module named 'later_utils.roi_align._ext.crop_and_resize._crop_and_resize' HOT 4
- About One stage model HOT 1
- About Train CycleGAN HOT 3
- the labels of the synthetic images,how to get it ? HOT 1
- 文献公式2咨询
- 文献公式2咨询
- AttributeError: 'EasyDict' object has no attribute 'FPN' HOT 2
- Evaluation AP
- How to generate score json file HOT 1
- loss nan
- Can I deploy the project under the windows system? HOT 1
- Error
- Foggy cityscapes dataset
- module 'layer_utils.roi_align._ext.crop_and_resize' has no attribute 'crop_and_resize_gpu_forward'
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