nvJPEG2000: CUDA accelerated JPEG 2000 Codec Library
nvidia_nvjpeg2k_cuXX is a high-performance JPEG 2000 CUDA library .
Documentation
Refer to https://docs.nvidia.com/cuda/nvjpeg2000/index.html for documentation.
Installation
pip install nvidia_nvjpeg2k_cuXXwhere XX is the CUDA major version (currently CUDA 11, 12, & 13 are supported).
Metadata
Release files for nvidia-nvjpeg2k-cu11 0.9.0.43
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details for nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-win_amd64.whl |
| nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-manylinux2014_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details for nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-manylinux2014_x86_64.whl |
| nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-manylinux2014_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details for nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-manylinux2014_aarch64.whl |
Total release size: 16.4 MB
Release files / nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-win_amd64.whl
| Download URL | nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-win_amd64.whl |
|---|---|
| Size | 5.2 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
3f34799f9df55abe59581c97f82ba7355ab7da914d3752857802afd6acabc1ac
|
|
BLAKE2b-256 checksum How to use checksums |
e386994f3b6a765faed794afac0bd6e75151cb862204147c78219e59b344f472
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.18
|
Release files / nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-manylinux2014_x86_64.whl
| Download URL | nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-manylinux2014_x86_64.whl |
|---|---|
| Size | 5.6 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
970518cfe3f345eb263df8c0b3e9c403800a353406ca36e75d7b1f6a58fb25d8
|
|
BLAKE2b-256 checksum How to use checksums |
41837e975b58c82551e785eb2fb096f9f4dbb036987278da40bfe9f347ad53c4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.18
|
Release files / nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-manylinux2014_aarch64.whl
| Download URL | nvidia_nvjpeg2k_cu11-0.9.0.43-py3-none-manylinux2014_aarch64.whl |
|---|---|
| Size | 5.6 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
63a642e0b318cd0ddbde5083155400d97005cee7acb8e47f36f8920124581338
|
|
BLAKE2b-256 checksum How to use checksums |
e5a5f7c07636d13bf6feac93bff247aad64946ffd2ba56034aebf833aae50bcd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.18
|
Security for nvidia-nvjpeg2k-cu11 0.9.0.43
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
