vsfemasr

Name	vsfemasr JSON
Version	2.0.0 JSON
	download
home_page	None
Summary	FeMaSR function for VapourSynth
upload_time	2024-06-02 12:11:21
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	None
keywords	femasr pytorch tensorrt vapoursynth
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # FeMaSR
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors, based on https://github.com/chaofengc/FeMaSR.


## Dependencies
- [PyTorch](https://pytorch.org/get-started/) 2.4.0.dev or later
- [VapourSynth](http://www.vapoursynth.com/) R66 or later

`trt` requires additional Python packages:
- [TensorRT](https://developer.nvidia.com/tensorrt/) 10.0.1
- [Torch-TensorRT](https://pytorch.org/TensorRT/) 2.4.0.dev

To install TensorRT, run `pip install tensorrt==10.0.1 tensorrt-cu12_bindings==10.0.1 tensorrt-cu12_libs==10.0.1 --extra-index-url https://pypi.nvidia.com`

To install Torch-TensorRT, Windows users can pip install the whl file on [Releases](https://github.com/HolyWu/vs-femasr/releases). Linux users can run `pip install --pre torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124` (requires PyTorch nightly build).


## Installation
```
pip install -U vsfemasr
python -m vsfemasr
```


## Usage
```python
from vsfemasr import femasr

ret = femasr(clip)
```

See `__init__.py` for the description of the parameters.

            

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