Comments (7)
In this case, you could decrease the --learning_rate
(i.e., ten times smaller) in invert.py
. By the way, we have updated the encoder network and its weight in the repo, you could try it without adjusting the learning rate.
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@zhujiapeng
After updating the new encoder network and its weight, I got the following error. Did you encounter this problem?
ModuleNotFoundError: No module named 'tensorflow.contrib.nccl
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We added Synchronized BatchNorm in the encoder, it will use nccl
in TensorFlow, the tf version I trained encoder is 1.12, so you need to change the tf version to 1.12.
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@zhujiapeng
Thank you for your quickly reply. I currently use TensorFlow 1.14.0, I will try it on 1.12. π
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@zhujiapeng
I success to run the new model using TF 1.12.2 as your suggestion.
Even though the image, 00015.png still has a similar problem, for others the new model improves a lot. Great work! I will close this issue.
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@ChengBinJin
I picked the wrong model when uploading, I have updated it, sorry about that.
The new model's inversion results show as follows, but this problem may happen on some other images, this caused by the small batch size when training the encoder due to our GPU memory. Anyway, thank you for testing our model!
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@zhujiapeng
I tested the new model again, now the results are exactly the same as yours! Great work!
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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 facesοΌ 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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