Comments (4)
Dear xurong1981, Sorry for my late reply. I left the company and this slipped out from my hands for a while.
I currently do not have a plan to open the source code (but might (hopefully...) be in a near future (blame on my laziness...). Meanwhile, please check out this closed issue, which has a code snippet: #7 (comment) Maybe this can be helpful for you a little. Again, sorry for the late reply. After leaving the company, I did not bring my training code, so I have to rewrite it all, which makes it harder for me to start doing this.
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I see. Thank you so much for your reply.
from wct2.
I see. Thank you so much for your reply.
Hello, have you finished the rest of the training code
from wct2.
Maybe of your interests. https://github.com/jaejun-yoo/wct2_trainer I think the trainer_jjy.py
would be helpful for those who want to train the wave encoder and decoder.
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Related Issues (20)
- WCT2 seems cannot transfer styles without segmentation maps? Could you please indicate how to make it works without segmentation maps since you claimed in your paper that it supports transfer directly and without segmentation. HOT 1
- Can I train with my data? HOT 1
- Some questiona about network? HOT 4
- Query regarding "conv0" layer HOT 1
- Segmentation maps precision HOT 1
- In "cat5" skip network, only the last layer matters HOT 2
- Qs about the Dataset HOT 2
- Does it support large-size photos style transfer? HOT 1
- some questions about the figure 9 HOT 2
- How to add temporal consistency HOT 2
- QS about the depth map of transfered images HOT 1
- why the encoder has the layer conv0 HOT 1
- How does it work for an indoor dataset? HOT 1
- Question about the loss functions
- LL components vs. avg. pooling HOT 2
- Details about training decoder
- About SSIM metircs
- Without Seg HOT 1
- RuntimeError: got 4 channels instead HOT 3
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