Comments (1)
Thanks for your report. I think both of the two types are OK. Just different habits.
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Related Issues (20)
- Results are not good enough HOT 2
- CycleGAN convergence
- max_size argument that controls the image_pool
- Swap out generator for another one
- My test results of horse2zebra is somewhat different from this. HOT 2
- Not able to understand one portion of '_build_model' function of cyclegan class.
- How to speed up training by sacrificing model performance?
- How do resume training?? HOT 1
- Quantitative results of code HOT 1
- What is the purpose of the U-Net generator? HOT 2
- Example code for deploying on Google cloud
- One-sided Label Smoothing
- Image Generation with resolution 512x256
- Loss Functions
- Hardware Specifications
- Not able to download the Dataset HOT 1
- Continue training error weights already exists, disallowed HOT 1
- You need to create a directory with the name 'datasets' and put your dataset folder (with 4 subfolders trainA, trainB, testA, testB) in it.
- Training does not start
- AttributeError: module 'tensorflow' has no attribute 'set_random_seed' HOT 1
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from cyclegan-tensorflow.