| Name | PyNvVideoCodec JSON |
| Version |
1.0.2
JSON |
| download |
| home_page | None |
| Summary | PyNvVideoCodec is NVIDIA’s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs. |
| upload_time | 2024-04-16 18:21:11 |
| maintainer | None |
| docs_url | None |
| author | NVIDIA |
| requires_python | >=3.10 |
| license | MIT |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# PyNvVideoCodec
[PyNvVideoCodec](https://docs.nvidia.com/video-technologies/pynvvideocodec/index.html) is NVIDIA’s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs. PyNvVideoCodec is the successor of [VPF](https://github.com/NVIDIA/VideoProcessingFramework) (Video Processing Framework).
The library is distributed under MIT license and is officially supported by NVIDIA. PyNvVideoCodec library internally uses Video Codec SDK’s core C/C++ video encode and decode APIs and provides easy to use Python APIs on it. The library offers encode and decode performance close to Video Codec SDK.
## Features
Current PyNvVideoCodec version supports following features:
* Codecs: H.264, HEVC, AV1.
* Surface formats: NV12 (8 bit), YUV 4:2:0 (10 bit), YUV 4:4:4 (8 and 10 bit)
* Video container formats: MP4, AVI and MKV
* DLPack support to facilitate data exchange with popular DL frameworks like PyTorch and TensorRT.
* CUDA Array Interface support to facilitate data exchange with NVIDIA's CV-CUDA library.
* CUDA stream support for optimizing throughput.
* Contains Python sample applications demonstrating API usage.
## Distribution
PyNvVideoCodec library is distributed in two formats: binary distribution via [PyPI](https://pypi.org/project/pynvvideocodec/) and source code distribution via [NVIDIA NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/pynvvideocodec). In both cases, the library and its dependencies can be installed using a single pip install command.
This package on PyPI contains Python WHLs of PyNvVideoCodec library. To install this library please open the shell prompt, and run the following command.
```
$ pip install PyNvVideoCodec
```
## Sample Applications and Documents
* A package containing sample application that demonstrate PyNvVideoCodec API and documents can be downloaded from [NVIDIA NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/pynvvideocodec)
* For your convenience, the documents are also accessible online at [PyNvVideoCodec Online Documentation](https://docs.nvidia.com/video-technologies/pynvvideocodec/index.html)
Raw data
{
"_id": null,
"home_page": null,
"name": "PyNvVideoCodec",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.10",
"maintainer_email": null,
"keywords": null,
"author": "NVIDIA",
"author_email": null,
"download_url": null,
"platform": null,
"description": "# PyNvVideoCodec\r\n\r\n[PyNvVideoCodec](https://docs.nvidia.com/video-technologies/pynvvideocodec/index.html) is NVIDIA\u2019s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs. PyNvVideoCodec is the successor of [VPF](https://github.com/NVIDIA/VideoProcessingFramework) (Video Processing Framework). \r\n\r\nThe library is distributed under MIT license and is officially supported by NVIDIA. PyNvVideoCodec library internally uses Video Codec SDK\u2019s core C/C++ video encode and decode APIs and provides easy to use Python APIs on it. The library offers encode and decode performance close to Video Codec SDK.\r\n\r\n\r\n\r\n \r\n\r\n## Features\r\nCurrent PyNvVideoCodec version supports following features:\r\n\r\n* Codecs: H.264, HEVC, AV1.\r\n* Surface formats: NV12 (8 bit), YUV 4:2:0 (10 bit), YUV 4:4:4 (8 and 10 bit)\r\n* Video container formats: MP4, AVI and MKV\r\n* DLPack support to facilitate data exchange with popular DL frameworks like PyTorch and TensorRT.\r\n* CUDA Array Interface support to facilitate data exchange with NVIDIA's CV-CUDA library.\r\n* CUDA stream support for optimizing throughput.\r\n* Contains Python sample applications demonstrating API usage.\r\n\r\n\r\n## Distribution\r\nPyNvVideoCodec library is distributed in two formats: binary distribution via [PyPI](https://pypi.org/project/pynvvideocodec/) and source code distribution via [NVIDIA NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/pynvvideocodec). In both cases, the library and its dependencies can be installed using a single pip install command.\r\n\r\nThis package on PyPI contains Python WHLs of PyNvVideoCodec library. To install this library please open the shell prompt, and run the following command.\r\n```\r\n$ pip install PyNvVideoCodec\r\n```\r\n\r\n## Sample Applications and Documents\r\n\r\n* A package containing sample application that demonstrate PyNvVideoCodec API and documents can be downloaded from [NVIDIA NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/pynvvideocodec)\r\n* For your convenience, the documents are also accessible online at [PyNvVideoCodec Online Documentation](https://docs.nvidia.com/video-technologies/pynvvideocodec/index.html)",
"bugtrack_url": null,
"license": "MIT",
"summary": "PyNvVideoCodec is NVIDIA\u2019s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs.",
"version": "1.0.2",
"project_urls": {
"documentation": "https://docs.nvidia.com/video-technologies/pynvvideocodec/index.html",
"source": "https://catalog.ngc.nvidia.com/orgs/nvidia/resources/pynvvideocodec"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "4af7fea9d1edabf8eb29959742d5d80158ffa36c8de1c8ba4a2bce4b7881faad",
"md5": "613c165ba7701a15c31bf10f3109d417",
"sha256": "da8ec7c2aaee5c634fb0c2451042c32cc58728c1b46b81e07c0e78ca235a4ef0"
},
"downloads": -1,
"filename": "PyNvVideoCodec-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "613c165ba7701a15c31bf10f3109d417",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": ">=3.10",
"size": 56753109,
"upload_time": "2024-04-16T18:21:11",
"upload_time_iso_8601": "2024-04-16T18:21:11.580817Z",
"url": "https://files.pythonhosted.org/packages/4a/f7/fea9d1edabf8eb29959742d5d80158ffa36c8de1c8ba4a2bce4b7881faad/PyNvVideoCodec-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "9d2ae657e84adbfebd99caf6b9f7ee30c896c33690b004ce859a0bbf6121a666",
"md5": "cfcdb59d40c71ecbd5306eae9557e80a",
"sha256": "a91440f438ff0c1421f20fbe0b72fd04c37685bc9229e95cebfb4664a1bde3b8"
},
"downloads": -1,
"filename": "PyNvVideoCodec-1.0.2-cp310-cp310-win_amd64.whl",
"has_sig": false,
"md5_digest": "cfcdb59d40c71ecbd5306eae9557e80a",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": ">=3.10",
"size": 4510284,
"upload_time": "2024-04-16T18:20:10",
"upload_time_iso_8601": "2024-04-16T18:20:10.421401Z",
"url": "https://files.pythonhosted.org/packages/9d/2a/e657e84adbfebd99caf6b9f7ee30c896c33690b004ce859a0bbf6121a666/PyNvVideoCodec-1.0.2-cp310-cp310-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-16 18:21:11",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "pynvvideocodec"
}
