vsrife

Name	vsrife JSON
Version	5.5.1 JSON
	download
home_page	None
Summary	RIFE function for VapourSynth
upload_time	2025-01-04 14:34:20
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	None
keywords	pytorch rife tensorrt vapoursynth
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # RIFE
Real-Time Intermediate Flow Estimation for Video Frame Interpolation, based on https://github.com/hzwer/Practical-RIFE.


## Dependencies
- [PyTorch](https://pytorch.org/get-started/) 2.6.0.dev20241023 or later
- [VapourSynth](http://www.vapoursynth.com/) R66 or later
- [vs-miscfilters-obsolete](https://github.com/vapoursynth/vs-miscfilters-obsolete) (only needed for scene change detection)

`trt` requires additional packages:
- [TensorRT](https://developer.nvidia.com/tensorrt) 10.4.0 or later
- [Torch-TensorRT](https://pytorch.org/TensorRT/) 2.6.0.dev20241023 or later

To install the latest nightly build of PyTorch and Torch-TensorRT, run:
```
pip install -U packaging setuptools wheel
pip install --pre -U torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu126
pip install --no-deps --pre -U torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu126
pip install -U tensorrt-cu12 tensorrt-cu12_bindings tensorrt-cu12_libs --extra-index-url https://pypi.nvidia.com
```


## Installation
```
pip install -U vsrife
```

If you want to download all models at once, run `python -m vsrife`. If you prefer to only download the model you
specified at first run, set `auto_download=True` in `rife()`.


## Usage
```python
from vsrife import rife

ret = rife(clip)
```

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

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "vsrife",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.10",
    "maintainer_email": null,
    "keywords": "PyTorch, RIFE, TensorRT, VapourSynth",
    "author": null,
    "author_email": "HolyWu <holywu@gmail.com>",
    "download_url": null,
    "platform": null,
    "description": "# RIFE\nReal-Time Intermediate Flow Estimation for Video Frame Interpolation, based on https://github.com/hzwer/Practical-RIFE.\n\n\n## Dependencies\n- [PyTorch](https://pytorch.org/get-started/) 2.6.0.dev20241023 or later\n- [VapourSynth](http://www.vapoursynth.com/) R66 or later\n- [vs-miscfilters-obsolete](https://github.com/vapoursynth/vs-miscfilters-obsolete) (only needed for scene change detection)\n\n`trt` requires additional packages:\n- [TensorRT](https://developer.nvidia.com/tensorrt) 10.4.0 or later\n- [Torch-TensorRT](https://pytorch.org/TensorRT/) 2.6.0.dev20241023 or later\n\nTo install the latest nightly build of PyTorch and Torch-TensorRT, run:\n```\npip install -U packaging setuptools wheel\npip install --pre -U torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu126\npip install --no-deps --pre -U torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu126\npip install -U tensorrt-cu12 tensorrt-cu12_bindings tensorrt-cu12_libs --extra-index-url https://pypi.nvidia.com\n```\n\n\n## Installation\n```\npip install -U vsrife\n```\n\nIf you want to download all models at once, run `python -m vsrife`. If you prefer to only download the model you\nspecified at first run, set `auto_download=True` in `rife()`.\n\n\n## Usage\n```python\nfrom vsrife import rife\n\nret = rife(clip)\n```\n\nSee `__init__.py` for the description of the parameters.\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "RIFE function for VapourSynth",
    "version": "5.5.1",
    "project_urls": {
        "Homepage": "https://github.com/HolyWu/vs-rife",
        "Issues": "https://github.com/HolyWu/vs-rife/issues"
    },
    "split_keywords": [
        "pytorch",
        " rife",
        " tensorrt",
        " vapoursynth"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "874876cb0d45a8bca208789fd13700cda3508f2ff25f0a2cbaedc95b2cf10472",
                "md5": "619ca44b39d654b736b10031af9db958",
                "sha256": "23eb3968782e6c312002004a3f1f06d49d849431f309c3db009a3fad284db819"
            },
            "downloads": -1,
            "filename": "vsrife-5.5.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "619ca44b39d654b736b10031af9db958",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.10",
            "size": 64940,
            "upload_time": "2025-01-04T14:34:20",
            "upload_time_iso_8601": "2025-01-04T14:34:20.437642Z",
            "url": "https://files.pythonhosted.org/packages/87/48/76cb0d45a8bca208789fd13700cda3508f2ff25f0a2cbaedc95b2cf10472/vsrife-5.5.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-01-04 14:34:20",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "HolyWu",
    "github_project": "vs-rife",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "vsrife"
}