###############################################################
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, & 13 are supported).
Raw data
{
"_id": null,
"home_page": "https://developer.nvidia.com/nvjpeg",
"name": "nvidia-nvjpeg2k-cu13",
"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, & 13 are supported).\n\n",
"bugtrack_url": null,
"license": "NVIDIA Proprietary Software",
"summary": "NVIDIA nvJPEG2000 native runtime libraries",
"version": "0.9.0.43",
"project_urls": {
"Homepage": "https://developer.nvidia.com/nvjpeg"
},
"split_keywords": [
"cuda",
" nvidia",
" jpeg2000",
" codec"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b2ceb17e63d91c5f5e750a76c6f258bff9ce14873da846d27f26f5e8e87caebe",
"md5": "ca91266de9d9d334fb85899245f73e3f",
"sha256": "8272303e73c11527f5527e0c5d6c3a110a4d8504dc7a122c809428a5ee271f8c"
},
"downloads": -1,
"filename": "nvidia_nvjpeg2k_cu13-0.9.0.43-py3-none-manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "ca91266de9d9d334fb85899245f73e3f",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3",
"size": 2833315,
"upload_time": "2025-08-06T22:21:52",
"upload_time_iso_8601": "2025-08-06T22:21:52.944129Z",
"url": "https://files.pythonhosted.org/packages/b2/ce/b17e63d91c5f5e750a76c6f258bff9ce14873da846d27f26f5e8e87caebe/nvidia_nvjpeg2k_cu13-0.9.0.43-py3-none-manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "eaed24134897e077340eefa0e9ae61b58620b13e2f2118f896010aa7fedd6168",
"md5": "f622cdce51414c1e1b6722f58b0a0d49",
"sha256": "554761474cf2e0f85d04644d08e7949a4ffd2f4be10a5318de85e46f86ad8f07"
},
"downloads": -1,
"filename": "nvidia_nvjpeg2k_cu13-0.9.0.43-py3-none-manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "f622cdce51414c1e1b6722f58b0a0d49",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3",
"size": 2592100,
"upload_time": "2025-08-06T22:20:18",
"upload_time_iso_8601": "2025-08-06T22:20:18.370965Z",
"url": "https://files.pythonhosted.org/packages/ea/ed/24134897e077340eefa0e9ae61b58620b13e2f2118f896010aa7fedd6168/nvidia_nvjpeg2k_cu13-0.9.0.43-py3-none-manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "1ff5567c8078d9038da6bc0697013222bf1a8dfee7272f36d3beb1778f1cbd13",
"md5": "91fde166093f291fd664ba7fe403c14a",
"sha256": "206186cea696404062fee516657195329bbd7a6de57f0c2f69809fd987ce73a8"
},
"downloads": -1,
"filename": "nvidia_nvjpeg2k_cu13-0.9.0.43-py3-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "91fde166093f291fd664ba7fe403c14a",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3",
"size": 2215824,
"upload_time": "2025-08-06T22:30:27",
"upload_time_iso_8601": "2025-08-06T22:30:27.985793Z",
"url": "https://files.pythonhosted.org/packages/1f/f5/567c8078d9038da6bc0697013222bf1a8dfee7272f36d3beb1778f1cbd13/nvidia_nvjpeg2k_cu13-0.9.0.43-py3-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-08-06 22:21:52",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "nvidia-nvjpeg2k-cu13"
}
JSON