How to Install and Uninstall libnvjpeg12 Package on Kali Linux
Last updated: November 23,2024
1. Install "libnvjpeg12" package
Please follow the guidelines below to install libnvjpeg12 on Kali Linux
$
sudo apt update
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$
sudo apt install
libnvjpeg12
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2. Uninstall "libnvjpeg12" package
This tutorial shows how to uninstall libnvjpeg12 on Kali Linux:
$
sudo apt remove
libnvjpeg12
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libnvjpeg12 package on Kali Linux
Package: libnvjpeg12
Source: nvidia-cuda-toolkit (12.0.1-4)
Version: 12.0.1.102~12.0.1-4
Installed-Size: 5406
Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 4.2)
Size: 1769336
SHA256: d737917675c0d6c36e064a34c252aeba079a3f413c7652b605f8bc042c2a56f6
SHA1: 43ce484079d576be61e9c7d1dcc744e722201104
MD5sum: fa048cf00cfbf5eea8261f6d13b2370e
Description: NVIDIA JPEG library (nvJPEG)
The nvJPEG 1.0 library provides high-performance, GPU accelerated JPEG
decoding functionality for image formats commonly used in deep learning and
hyperscale multimedia applications. The library offers single and batched JPEG
decoding capabilities which efficiently utilize the available GPU resources
for optimum performance; and the flexibility for users to manage the memory
allocation needed for decoding.
Description-md5:
Multi-Arch: same
Homepage: https://developer.nvidia.com/cuda-zone
Section: non-free/libs
Priority: optional
Filename: pool/non-free/n/nvidia-cuda-toolkit/libnvjpeg12_12.0.1.102~12.0.1-4_amd64.deb
Source: nvidia-cuda-toolkit (12.0.1-4)
Version: 12.0.1.102~12.0.1-4
Installed-Size: 5406
Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 4.2)
Size: 1769336
SHA256: d737917675c0d6c36e064a34c252aeba079a3f413c7652b605f8bc042c2a56f6
SHA1: 43ce484079d576be61e9c7d1dcc744e722201104
MD5sum: fa048cf00cfbf5eea8261f6d13b2370e
Description: NVIDIA JPEG library (nvJPEG)
The nvJPEG 1.0 library provides high-performance, GPU accelerated JPEG
decoding functionality for image formats commonly used in deep learning and
hyperscale multimedia applications. The library offers single and batched JPEG
decoding capabilities which efficiently utilize the available GPU resources
for optimum performance; and the flexibility for users to manage the memory
allocation needed for decoding.
Description-md5:
Multi-Arch: same
Homepage: https://developer.nvidia.com/cuda-zone
Section: non-free/libs
Priority: optional
Filename: pool/non-free/n/nvidia-cuda-toolkit/libnvjpeg12_12.0.1.102~12.0.1-4_amd64.deb