Comments (1)
65,000 images from FFHQ are used for training, while the remaining 5,000 are used for testing. You can treat the last 5,000 as the test set or randomly select 5,000 images.
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Related Issues (20)
- Error occurs when running invert.py HOT 1
- How to set gpu id in train.py HOT 2
- ModuleNotFoundError: No module named 'tensorflow.contrib.nccl' HOT 1
- About resolution in styleGAN HOT 2
- Encoder train on crawled face or FFHQ HOT 5
- about the W space HOT 1
- why face with eyeglasses when aged? HOT 2
- Training an encoder using pretrained StyleGAN HOT 2
- CUDA, cuDNN and NCCL versions HOT 2
- Training problems HOT 1
- My own data set HOT 1
- Could you provide me with the code for calculating SWD?
- Will you update the training code for pytorch soon? HOT 2
- How many iterations are needed to generate similar faces? HOT 1
- Error in Inversion Task HOT 2
- tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed HOT 3
- Using Semantic Diffusion in other domains (that are not faces) HOT 1
- Encoder is not trained at all. HOT 1
- Is it correct to use interfaceGAN when dealing with the tower dataset? HOT 1
- All of the losses except the reconstruction loss don't change. HOT 6
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