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 12 & 13 are supported).
Metadata
Release files for nvidia-nvjpeg2k-tegra-cu12 0.12.0.58
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nvidia_nvjpeg2k_tegra_cu12-0.12.0.58-py3-none-manylinux2014_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details for nvidia_nvjpeg2k_tegra_cu12-0.12.0.58-py3-none-manylinux2014_aarch64.whl |
Release files / nvidia_nvjpeg2k_tegra_cu12-0.12.0.58-py3-none-manylinux2014_aarch64.whl
| Download URL | nvidia_nvjpeg2k_tegra_cu12-0.12.0.58-py3-none-manylinux2014_aarch64.whl |
|---|---|
| Size | 4.5 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
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SHA-256 checksum How to use checksums |
0eb57ffa957a16634c1a3846c18d46f240d6ab81db17c8fc9df7b4dc3a4b8704
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BLAKE2b-256 checksum How to use checksums |
b337a979c004d7456df71d32954e44be0bb58d29a36817ee48d4d682052a4b03
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
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Security for nvidia-nvjpeg2k-tegra-cu12 0.12.0.58
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