NVIDIA nvimgcodec
=================
nvImageCodec is a library of accelerated codec with unified interface. It is designed as a framework for extension modules which delivers codec plugins.
You can install the following optional extras:
- **nvjpeg**: Includes nvjpeg package dependency, needed to run the nvjpeg extension.
- **nvjpeg2k**: Includes nvjpeg2k package dependency, needed to run the nvjpeg2k extension.
- **nvtiff**: Includes nvtiff and nvcomp package dependency, needed to run the nvtiff extension.
- **all**: Includes all optional dependencies.
Raw data
{
"_id": null,
"home_page": "https://github.com/NVIDIA/nvImageCodec",
"name": "nvidia-nvimgcodec-tegra-cu12",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.14,>=3.8",
"maintainer_email": null,
"keywords": null,
"author": "NVIDIA Corporation",
"author_email": null,
"download_url": null,
"platform": null,
"description": "NVIDIA nvimgcodec\n=================\n\nnvImageCodec is a library of accelerated codec with unified interface. It is designed as a framework for extension modules which delivers codec plugins.\n\nYou can install the following optional extras:\n\n - **nvjpeg**: Includes nvjpeg package dependency, needed to run the nvjpeg extension.\n - **nvjpeg2k**: Includes nvjpeg2k package dependency, needed to run the nvjpeg2k extension.\n - **nvtiff**: Includes nvtiff and nvcomp package dependency, needed to run the nvtiff extension.\n - **all**: Includes all optional dependencies.\n",
"bugtrack_url": null,
"license": "Apache License 2.0",
"summary": "NVIDIA nvimgcodec tegra for CUDA 12. Git SHA:",
"version": "0.5.0.13",
"project_urls": {
"Homepage": "https://github.com/NVIDIA/nvImageCodec"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "90bbb988781c5530d0d8f5b699c44aadbc58b2c934280856dfb901f9f3f6ca72",
"md5": "f7af22a788f2362c14c84bceef16bcf6",
"sha256": "e6dc16c0d05cff87187ad3f0c8abe9fb5368c46f0f7474ba5c005d640c680d8c"
},
"downloads": -1,
"filename": "nvidia_nvimgcodec_tegra_cu12-0.5.0.13-py3-none-manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "f7af22a788f2362c14c84bceef16bcf6",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.14,>=3.8",
"size": 13747398,
"upload_time": "2025-03-18T10:39:16",
"upload_time_iso_8601": "2025-03-18T10:39:16.609927Z",
"url": "https://files.pythonhosted.org/packages/90/bb/b988781c5530d0d8f5b699c44aadbc58b2c934280856dfb901f9f3f6ca72/nvidia_nvimgcodec_tegra_cu12-0.5.0.13-py3-none-manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-03-18 10:39:16",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "NVIDIA",
"github_project": "nvImageCodec",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "nvidia-nvimgcodec-tegra-cu12"
}
JSON
