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-tegra-cu11 0.9.0.43
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 | Reset |
|---|---|---|---|---|
| nvidia_nvjpeg2k_tegra_cu11-0.9.0.43-py3-none-manylinux2014_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details |
Release files / nvidia_nvjpeg2k_tegra_cu11-0.9.0.43-py3-none-manylinux2014_aarch64.whl
| Download URL | nvidia_nvjpeg2k_tegra_cu11-0.9.0.43-py3-none-manylinux2014_aarch64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
f6e4a56c60240ca82ec9fe1ef1a17812358aae840d480cb3deb77adf8e9e0a2d
|
|
BLAKE2b-256 checksum How to use checksums |
5810c63b2aaa3027b076ca5ae9e0352b0747822590ab87d4cb10d02f11056b5c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.18
|
