Megvii-BaseDetection / YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Date Created 2021-07-17 (3 years ago)

Commits 203 (last one a day ago)

Stargazers 9,454 (14 this week)

Watchers 77 (0 this week)

Forks 2,209

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these Megvii-BaseDetection/YOLOX is ranked #4,238 (99th percentile) for total stargazers, and #24,789 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #619/116,326.

Megvii-BaseDetection/YOLOX is also tagged with popular topics, for these it's ranked: deep-learning (#166/8389), pytorch (#86/5948), object-detection (#18/1158), onnx (#7/356), yolo (#7/349)

Other Information

Megvii-BaseDetection/YOLOX has 40 open pull requests on Github, 165 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 700 open issues and 789 closed issues.

There have been 4 releases, the latest one was published on 2022-04-22 (2 years ago) with the name YOLOX 0.3.0.

All Topics

ncnn onnx yolo yolox yolov3 pytorch openvino tensorrt megengine deep-learning object-detection

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67 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

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updated: 2024-11-20 @ 06:25pm, id: 386811486 / R_kgDOFw5GXg