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JustinasLekavicius avatar JustinasLekavicius commented on June 7, 2024

Check what your input_nc and output_nc values are. 1 is for grayscale, 3 is for RGB.

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Keiser04 avatar Keiser04 commented on June 7, 2024

is that I do not put those arguments

Check what your input_nc and output_nc values are. 1 is for grayscale, 3 is for RGB.

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JustinasLekavicius avatar JustinasLekavicius commented on June 7, 2024

is that I do not put those arguments

Check what your input_nc and output_nc values are. 1 is for grayscale, 3 is for RGB.

Check if you put those arguments in your training configuration. If your input images are grayscale, use input_nc=1. If the images are colored, use input_nc=3

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Keiser04 avatar Keiser04 commented on June 7, 2024

is that I do not put those arguments

Check what your input_nc and output_nc values are. 1 is for grayscale, 3 is for RGB.

Check if you put those arguments in your training configuration. If your input images are grayscale, use input_nc=1. If the images are colored, use input_nc=3

no, I didn't use them, I used the ones that came with the colab and with the one to resume training, but nothing else.

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Keiser04 avatar Keiser04 commented on June 7, 2024

or maybe they have defaults?

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JustinasLekavicius avatar JustinasLekavicius commented on June 7, 2024

or maybe they have defaults?

It appears that for colorization dataset, the defaults are input_nc 1 and output_nc 2. So the issue may be somewhere else. T
Checking the code and data you use for training would be useful.

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Keiser04 avatar Keiser04 commented on June 7, 2024

or maybe they have defaults?

It appears that for colorization dataset, the defaults are input_nc 1 and output_nc 2. So the issue may be somewhere else. T Checking the code and data you use for training would be useful.

If I change the output to 3 should it work?

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