Package Details: python-yolox 0.3.0-3

Git Clone URL: https://aur.archlinux.org/python-yolox.git (read-only, click to copy)
Package Base: python-yolox
Description: YOLOX is an object detection method, an anchor-free version of YOLO, with a simpler design but better performance.
Upstream URL: https://github.com/Megvii-BaseDetection/YOLOX
Keywords: detection pytorch yolo
Licenses: MIT
Submitter: fanyujun
Maintainer: fanyujun
Last Packager: fanyujun
Votes: 0
Popularity: 0.000000
First Submitted: 2023-10-11 14:09 (UTC)
Last Updated: 2024-03-05 15:35 (UTC)

Pinned Comments

fanyujun commented on 2023-10-11 16:22 (UTC) (edited on 2023-10-11 16:36 (UTC) by fanyujun)

Please note:

The original setup method is python3 setup.py develop, which uses develop. But this is not necessary and may cause issues when installing via AUR. I changed it to the more common way install. It works fine in my PC. Other than this setup method, the package is fully consistent with the latest released source codes.

You may need to request issues in https://github.com/Megvii-BaseDetection/YOLOX.

Some issues I have encountered and solved:

  • exps/example/custom/yolox_s.py doesn't contains class named 'Exp'.

You can refer to discussions in this issue https://github.com/Megvii-BaseDetection/YOLOX/issues/1536.

  • When there is conflicts in importing modules from .yolox.***, it is suggested to modify it consistently to yolox.***.

Latest Comments

MarsSeed commented on 2024-03-05 19:04 (UTC)

Please rename this package to python-yolox-git and reupload with that name.

Also please implement a pkgver() function in PKGBUILD.

Relevant guidelines:

https://wiki.archlinux.org/title/VCS_package_guidelines#Guidelines

fanyujun commented on 2023-10-11 16:22 (UTC) (edited on 2023-10-11 16:36 (UTC) by fanyujun)

Please note:

The original setup method is python3 setup.py develop, which uses develop. But this is not necessary and may cause issues when installing via AUR. I changed it to the more common way install. It works fine in my PC. Other than this setup method, the package is fully consistent with the latest released source codes.

You may need to request issues in https://github.com/Megvii-BaseDetection/YOLOX.

Some issues I have encountered and solved:

  • exps/example/custom/yolox_s.py doesn't contains class named 'Exp'.

You can refer to discussions in this issue https://github.com/Megvii-BaseDetection/YOLOX/issues/1536.

  • When there is conflicts in importing modules from .yolox.***, it is suggested to modify it consistently to yolox.***.