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# Video Inference | ||
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This repository is an inference repo similar to that of the ESRGAN inference repository, but for various video machine learning models. | ||
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## Currently supported architectures | ||
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- SOFVSR (@Victorca25's BasicSR Version) | ||
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## Additional features | ||
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- Automatic scale, number of frames, and number of channels detection | ||
- Automatic beginning and end frame padding so frames 1 and -1 get included in output | ||
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## Using this repo | ||
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- Place exported video frames in the `input` folder | ||
- Place model in the `models` folder | ||
- `python run.py ./models/video_model.pth` | ||
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## Extra flags | ||
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- `--input`: Specifies input directory | ||
- `--output`: Specifies output directory | ||
- `--denoise`: Denoises the chroma layer | ||
- `--chop_forward`: Splits tensors to avoid out-of-memory errors | ||
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## Planned architecture support | ||
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- EDVR | ||
- RRN | ||
- RIFE | ||
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## Planned additional features | ||
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- Direct video input/output via ffmpeg |