Comments (2)
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There wasn't anything done to facilitate this in the project, no. It could be modified for sure to do that but that's beyond the scope of what I intended to do with this project. The core code that does inference ultimately calls a function predict_batch in fastai with a single image to predict, which is a good place to start.
DeOldify/fastai/basic_train.py
Line 374 in be725ca
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Related Issues (20)
- How to output result without show image HOT 1
- TypeError: 'NoneType' object is not subscriptable HOT 2
- unable to run HOT 1
- Any known update for MyHeritage edition? HOT 1
- Get error when Create black and white training images HOT 1
- RuntimeError: Given input size: (512x1x1). Calculated output size: (512x0x0). Output size is too small HOT 2
- Unpickling Error HOT 2
- The content of flickr cannot be accessed. Please check the reason. HOT 1
- VapourSynth version of DeOldify HOT 2
- Error in GAN training
- Can't find libtiff HOT 2
- Conditionning HOT 1
- Enable 16bit tensor inference HOT 1
- https://www.dropbox.com/s/zkehq1uwahhbc2o/ColorizeArtistic_gen.pth?dl=0's accident HOT 2
- DID NOT RECIVED THE PROJECT AFTER FINESHED
- Uneven color distribution in stable and artistic model outputs HOT 1
- not working HOT 1
- Upadate it HOT 1
- example dataset for ColorizeTrainingArtistic
- Error on hugging faces HOT 2
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