Comments (1)
Hi @Michaelwhite34 , not necessary, depending on the amount of details you want to keep. Since our training progress resizes all inputs to 512x512, we just keep it consistent in the default inference stage.
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Related Issues (20)
- how can launch web interface? HOT 6
- 大佬,请问一下权重文件在哪获取呀 HOT 3
- ValueError: Unknown resampling filter HOT 4
- how to train for my own dataset HOT 2
- Why dont you add a simple bat file for windows to go through all files in folder ?
- ValueError: Unknown resampling filter error HOT 3
- ValueError: Expected more than 1 spatial element when training, got input size torch.Size([1, 512, 1, 1])
- How can access the dataset for this project? HOT 1
- 可以使用这个模型用来训练普通图片到草图吗? HOT 2
- Dataset for training HOT 1
- Artifacts in result sketch HOT 3
- line extraction but with colored lines HOT 2
- pycharm 运行时报错
- can't install HOT 1
- 一个关于使用AODA训练这个模型时遇到的问题
- ValueError: Unknown resampling filter (InterpolationMode.BICUBIC). HOT 1
- Made simple GUI script for it
- Artifact-free version of model HOT 3
- User Warning HOT 1
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