Comments (10)
from icolorit.
Our model is not specifically trained for unconditional colorization, but you can still obtain a colorized image without providing any hints.
Have you tried it in the demo or the code? You simply don't pass any hints.
from icolorit.
Yeah, for some images it's working well (colorizing the grey image) but for some images, it is showing the grey image as it is
for old family photos it's not working well
from icolorit.
Do I need to train on the old family photo? Could you tell me the procedure for using current checkpoints? base, small or tiny
from icolorit.
For some images, the initial results may still be grey since it is not trained to do that.
If you with to train an unconditional model, you can use the following command, given that you have all the training data ready.
bash scripts/train.sh --num_hint_range 0
Also, in order to use the small and tiny model, you would have to change the model type with the following argument.
bash scripts/infer.sh --model icolorit_small_4ch_patch16_224 --model path/to/your/checkpoint
from icolorit.
Could I train the "icolorit_base_4ch_patch16_224" checkpoint further on the coco, place365 ? not from scratch
from icolorit.
Yes you can, simply use the --resume argument and load the pretrained model.
I strongly suggest reading through the arguments in main.py.
from icolorit.
How to run on single image?
from icolorit.
Please refer to the demo for a GUI.
Also, PLEASE provide information when posting a question with information related to what you have tried, what the errors were and the enviornent you are running on.
from icolorit.
How to run on the single image without GUI in the terminal/command prompt?
input: grey image
output: colored image
from icolorit.
Related Issues (17)
- how do you use multiple gpu (only in 1 server?) HOT 1
- TypeError: arguments did not match any overloaded call thrown when I attempt to click on the gui.
- The color I want to change to is not on the color gamut. HOT 1
- training HOT 1
- unrecognized arguments: --local-rank=0
- No PixelShuffle used HOT 1
- Stabilization Layer HOT 2
- flops
- gui not working on windows HOT 1
- How to add a user defined hint point via command line using infer.py? HOT 1
- pretrained_cfg error HOT 2
- make an interactive demo in huggingface
- About 'VAL_HINT_DIR' HOT 1
- Does this model support colorization on multi-resolution images? HOT 3
- No file found: debug/samples.pkl HOT 1
- the difference between DataTransformationFixedHint function and DataTransformationFixedHintContinuousCoords function HOT 1
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from icolorit.