###############################################################
nvJPEG2000: CUDA accelerated JPEG 2000 Codec Library
###############################################################
`nvidia_nvjpeg2k_cuXX <https://developer.nvidia.com/nvjpeg>`_ is a high-performance JPEG 2000 CUDA library .
Documentation
=============
Refer to https://docs.nvidia.com/cuda/nvjpeg2000/index.html for documentation.
Installation
============
.. code-block:: bash
pip install nvidia_nvjpeg2k_cuXX
where XX is the CUDA major version (currently CUDA 11 & 12 are supported).
Raw data
{
"_id": null,
"home_page": "https://developer.nvidia.com/nvjpeg",
"name": "nvidia-nvjpeg2k-cu12",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3",
"maintainer_email": null,
"keywords": "cuda, nvidia, jpeg2000, codec",
"author": "NVIDIA Corporation",
"author_email": "cuda_installer@nvidia.com",
"download_url": null,
"platform": null,
"description": "###############################################################\nnvJPEG2000: CUDA accelerated JPEG 2000 Codec Library\n###############################################################\n\n`nvidia_nvjpeg2k_cuXX <https://developer.nvidia.com/nvjpeg>`_ is a high-performance JPEG 2000 CUDA library .\n\n\nDocumentation\n=============\n\nRefer to https://docs.nvidia.com/cuda/nvjpeg2000/index.html for documentation.\n\nInstallation\n============\n\n\n.. code-block:: bash\n\n pip install nvidia_nvjpeg2k_cuXX\n\nwhere XX is the CUDA major version (currently CUDA 11 & 12 are supported).\n\n",
"bugtrack_url": null,
"license": "NVIDIA Proprietary Software",
"summary": "NVIDIA nvJPEG2000 native runtime libraries",
"version": "0.8.0.38",
"project_urls": {
"Homepage": "https://developer.nvidia.com/nvjpeg"
},
"split_keywords": [
"cuda",
" nvidia",
" jpeg2000",
" codec"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "ce48337acc086b9de8dedef819191f38a5608e14b490aae2a5e23867db725e61",
"md5": "df7f35f64889a66f987334d0c7b886f0",
"sha256": "3a34cc2a92ae4c140d08b5c0dd78b6d40561bbe7cf47d69a07de67d65451788c"
},
"downloads": -1,
"filename": "nvidia_nvjpeg2k_cu12-0.8.0.38-py3-none-manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "df7f35f64889a66f987334d0c7b886f0",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3",
"size": 3877652,
"upload_time": "2024-04-22T20:37:02",
"upload_time_iso_8601": "2024-04-22T20:37:02.027085Z",
"url": "https://files.pythonhosted.org/packages/ce/48/337acc086b9de8dedef819191f38a5608e14b490aae2a5e23867db725e61/nvidia_nvjpeg2k_cu12-0.8.0.38-py3-none-manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "ccf4ff2d4a1fdcc3d8717e618356878a1ea7cee870aa1eceb8072377ef4fda27",
"md5": "1a3bfdec565eceefa072d9b89e69d23b",
"sha256": "05ca66b3d228c659c061fe4f6264712f3a45e68fd56a73e5d6fb4506b409b6bd"
},
"downloads": -1,
"filename": "nvidia_nvjpeg2k_cu12-0.8.0.38-py3-none-manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "1a3bfdec565eceefa072d9b89e69d23b",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3",
"size": 3932733,
"upload_time": "2024-04-22T20:34:55",
"upload_time_iso_8601": "2024-04-22T20:34:55.537230Z",
"url": "https://files.pythonhosted.org/packages/cc/f4/ff2d4a1fdcc3d8717e618356878a1ea7cee870aa1eceb8072377ef4fda27/nvidia_nvjpeg2k_cu12-0.8.0.38-py3-none-manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "dd8c47027daff3391a0b5ea594f2e2680b7429659b34fecc68d2e79d377a1c61",
"md5": "10401b0ff7448d667dedd75a959d9d75",
"sha256": "a4882cf3dc8477f43dcff62167923252cd29af03f74dc00b6808d190d0e1d8db"
},
"downloads": -1,
"filename": "nvidia_nvjpeg2k_cu12-0.8.0.38-py3-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "10401b0ff7448d667dedd75a959d9d75",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3",
"size": 3425653,
"upload_time": "2024-04-22T20:33:14",
"upload_time_iso_8601": "2024-04-22T20:33:14.736076Z",
"url": "https://files.pythonhosted.org/packages/dd/8c/47027daff3391a0b5ea594f2e2680b7429659b34fecc68d2e79d377a1c61/nvidia_nvjpeg2k_cu12-0.8.0.38-py3-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-22 20:37:02",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "nvidia-nvjpeg2k-cu12"
}