Comments (6)
imlixinyang
commented on June 8, 2024
custom datasets一般是用在普通的以文件夹名区分类别的数据集，对于Celeba来说直接使用celeba对应的预处理脚本就好～具体的脚本文件是proprecessors/celeba-hq.py，按照README指定好图像文件夹和label文件路径即可。
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Ziyan-swu
commented on June 8, 2024
感谢您的回答！请问train set是指那个文件呢？
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imlixinyang
commented on June 8, 2024
celeba的话应该是根据这个来：
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Ziyan-swu
commented on June 8, 2024
好的，您的意思是根据上面的命令行预处理之后，就不需要使用我提到train-set和custom dataset（即截图中提到的部分）进行设置了吗？
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imlixinyang
commented on June 8, 2024
是的，得到txt文件之后就可以运行训练脚本了～
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Ziyan-swu
commented on June 8, 2024
好的～，我懂您的意思了，谢谢！
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Related Issues (20)
- Virtual memory usage is too large HOT 4
- About Mutil-Gpus for training? HOT 7
- How many tags can this project train at the same time? HOT 3
- Another size of image HOT 5
- Data imbalance HOT 1
- 作者您好，想请问一下关于discriminator的问题 HOT 6
- 请求RaFD数据集 HOT 4
- About beard model HOT 14
- A few questions about training tricks HOT 6
- 请教一下您的生成器和鉴别器模型是基于哪篇文章的 HOT 1
- 您好，请教一下论文中实验部分的一些问题，望指点 HOT 5
- 如何处理检查点文件？ HOT 2
- 可以用m1芯片运行吗？ HOT 3
- 更换数据集 HOT 2
- 关于生成图片模糊的问题 HOT 2
- Multi-tag task HOT 5
- 使用AFHQ数据集训练模型 HOT 13
- 求一个RaFD或者emotionnet数据集，想在celebA上做一下联合训练，有老哥有吗？我RaFD一直没申请到，emotionnet在网上下载的好像也是有问题的。
- 请教关于生成结果图像质量下降等问题 HOT 3
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