doc for check images script
This commit is contained in:
parent
ad4ade7781
commit
d29368eb85
|
@ -12,3 +12,11 @@ See [VRAM](VRAM.md) for more info.
|
||||||
Check the file linked, this is a warning that some of the imags are smaller than the resolution you're using to train.
|
Check the file linked, this is a warning that some of the imags are smaller than the resolution you're using to train.
|
||||||
|
|
||||||
The best option is to source the originals again at a higher size. Or you can ignore it, use a high quality upscaler, remove the images, or reduce the `resolution` you're training. You might be ok if it is very small percentage of your dataset, but it is something you should check on.
|
The best option is to source the originals again at a higher size. Or you can ignore it, use a high quality upscaler, remove the images, or reduce the `resolution` you're training. You might be ok if it is very small percentage of your dataset, but it is something you should check on.
|
||||||
|
|
||||||
|
### Errors with PIL
|
||||||
|
|
||||||
|
Run this script to check images if your training crashes and PIL or you get any errors that seems image related:
|
||||||
|
|
||||||
|
`python scripts/check_images.py --data_root "C:\my_training_data"`
|
||||||
|
|
||||||
|
This will help identify invalid or malformatted images. You can then try using a typical image editor (Photoshop, Gimp, Paint.net, etc.) to fix them, or simply delete them.
|
Loading…
Reference in New Issue