Comments (5)
Hi, here are the steps:
- please refer to (https://github.com/imlixinyang/HiSD/blob/main/preprocessors/celeba-hq.py) and modify it for your desired tags and attributes. You will get some datasets/Tag_attribute.txt files if succeed.
- modify the config file to use the your own datasets/Tag_attribute.txt files.
- train.
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if I changing the style of hair while changing the style of glasses, so my custom.yaml modify follow the settings?
tags:
name: Eyeglasses_black
tag_irrelevant_conditions_dim: 2
attributes:
-
name: 'with'
filename: datasets/Eyeglasses_with.txt
-
name: 'without'
filename: datasets/Eyeglasses_without.txt
-
name: 'black'
filename: datasets/HairColor_black.txt
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This config file is only for training. If you want to edit multiple tags in inference, you should edit code in here.
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Thank you very much, I find facial age transformation in supplementary. How to generate age 7-9’/‘10-14’/‘15-19’/‘20-29’/‘30-39’/‘40-49’/‘50-69 in test.py?
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Hi @jackskr666, sorry for the late reply.
For age transformation, we use the images from FFHQ dataset and the labels provided by FFHQ-aging. You may process them into the label structure of HiSD to reproduce this experiment.
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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
- 如何设置custom datasets? HOT 6
- 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
- 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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