Comments (2)
训练GAN网络时建议分开,可以生成多种水质的fake water images。
与图像光衰减和雾状效果的参数调整可以参考#3 (comment) 这个回答。其他参数可以参照uwgan_main.py,batch_size大小根据显卡内存自己调整。
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我在训练时,报错,说找不到UWGAN这个模块,但是明明导入了
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Related Issues (19)
- Trained model? HOT 9
- About checkpoint HOT 1
- fsdet编译不过 HOT 1
- 雾化参数未训练?
- train loss nan, cost 0.000
- 为什么不能复现论文中的结果呢? HOT 2
- Valueerror cannot feed the value of shape (32,480,640,3) for tensor’air_image:0’,which has shape ‘(32,256,256,3)’ HOT 3
- 有没有pytorch版代码
- tensorflow版本&python版本
- results_color中没有生成图像
- I trained the model with UWGAN, but results_color1 folder didn't generate pictures
- Underwater images Type 1 and Type2
- UNet help (seems to work only on fake images)? HOT 2
- The publish
- Question about trained model HOT 1
- 为什么不能复现UNet的结果? HOT 21
- Checkpoints not found HOT 1
- Example test data HOT 1
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