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I'm getting crappy-looking samples from networks that seem to train properly. Loss converges nicely (see last screenshot), but samples don't compare with @hardmaru's results.
Here are some example…
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We can get it from Kratarth's repo - unless you forgot to include the files and have them locally
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After successfully implementing the training I find that starting at Epoch 18 the loss value is set to NAN and all the models created are of no use.
Is there any way to save all models such that th…
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I have read your article [GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images](https://arxiv.org/abs/2003.02567) and your code, and I am confused about how to calculate the FI…
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is there a script that allows us to create our own style files from drawing, or a link to the program that was used to generate them? ^_^
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This is a great job
When I first started encoder training. In line 279 of "base_trainer. py", there is a problem with "val_ result=self. _validd_Epoch". This function cannot be found. My current solu…
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Thank you for this great work :)
When I try to run the code, I am getting many errors because of new TensorFlow 2.x changes. So, I tried to use [tf_upgrade_v2](https://www.tensorflow.org/guide/upgr…
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Hello,
First off, I would like to thank you for this amazing work. I was giving it a go hoping to directly use your pretrained model. However, I ran into the following error upon doing `generate.py…
dsleo updated
6 years ago
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when i train ,the first step python train.py --mode prediction --batch_size 128 --b 0,
why the result of loss is under zero ?how to resolve
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This is probably outside the scope of the "issues" but figure I'd ask.
I notice it doesn't take numbers. Is there away to add numbers to the xml data sets so it can also do numbers?