Comments (1)
Please use the default parameters. The change I made is only --resize_or_crop, scale_width_and_crop --niter 10 --niter_decay 10, --loadSize 1024 --fineSize 452, --lambda_semantic_A 1 --lambda_semantic_B 1
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Related Issues (20)
- Complete training procedure HOT 1
- Train CycleGAN HOT 2
- First Image Transltation HOT 6
- About the implementation HOT 1
- Number of common classes in Synthia dataset HOT 2
- About SYNTHIA to Cityscapes HOT 1
- Bug in the DeepLab ResNet101 atrous convolution forward function HOT 3
- does BDL support for pytorch 1.7 and cuda 10.2? HOT 1
- how to train own custom dataset? HOT 3
- error at running train.py for cyclegan HOT 2
- Inconsistency fix from CycleGan repository HOT 1
- problem about loss become nan HOT 1
- fineSize (cropSize) for Cycle-Gan HOT 5
- quick question HOT 5
- Issues with reproducing results using pre-trained weights on PyTorch 1.7 and CUDA 11 HOT 4
- About confidence threshold in SSL HOT 2
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