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ramnoob avatar ramnoob commented on August 15, 2024 2

@wry123456
I would be very happy if you could share how to do this.

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whyydsforever avatar whyydsforever commented on August 15, 2024 2

@wry123456 I would be very happy if you could share how to do this.
if your dataset is gratscale, you can delete the last dimesion of image by
adding img = np.squeeze(img, axis=3) in line 121
it will solve this problem

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FwiffoSnork avatar FwiffoSnork commented on August 15, 2024

Is your pickle trained on greyscale or RGB images?

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wry123456 avatar wry123456 commented on August 15, 2024

您的泡菜是否经过了灰度或RGB图像训练?

thanks for your hints. My training set data is grayscale images, and I modified the way the images are saved in the generation code. It can be run.

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Elkortya avatar Elkortya commented on August 15, 2024

FWIW, I also has to change the "RGB" string in the (original) line 121 to "L" for it to work.

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