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chaofengc avatar chaofengc commented on May 19, 2024

It seems that your data is incorrect. Please follow readme and generate the correct data.

Download CelebAHQ-Mask dataset. Generate CelebAMask-HQ-mask and CelebAMask-HQ-mask-color with the provided scripts in CelebAMask-HQ/face_parsing/Data_preprocessing/.

After that, put the folder CelebAMask-HQ-mask and CelebAMask-HQ-mask-color under ../datasets/CelebAMask-HQ

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JimjimChen avatar JimjimChen commented on May 19, 2024

It seems that your data is incorrect. Please follow readme and generate the correct data.

Download CelebAHQ-Mask dataset. Generate CelebAMask-HQ-mask and CelebAMask-HQ-mask-color with the provided scripts in CelebAMask-HQ/face_parsing/Data_preprocessing/.

After that, put the folder CelebAMask-HQ-mask and CelebAMask-HQ-mask-color under ../datasets/CelebAMask-HQ

Many thanks!I have another question: when I finished generating 'CelebAMask-HQ-mask' , is the next step to run 'g_color.py’ directly?
When I run 'g_color.py' , I met a error : NameError : name 'im_base' is not defined. Do you know how to fix it?
微信图片_20211128104100

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chaofengc avatar chaofengc commented on May 19, 2024

Actually, training FPN does not need the colored mask. Please refer to the code:

self.img_dataset = sorted(make_dataset(os.path.join(opt.dataroot, 'CelebA-HQ-img')))
self.mask_dataset = sorted(make_dataset(os.path.join(opt.dataroot, 'CelebAMask-HQ-mask')))

You may simply put the generated mask folder CelebAMask-HQ-mask and corresponding image folder CelebA-HQ-img under the dataroot.

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