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GitHub / 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/
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Megvii-BaseDetection%2FYOLOX
Stars: 9,008
Forks: 2,117
Open Issues: 717
License: apache-2.0
Language: Python
Repo Size: 7.35 MB
Dependencies:
23
Created: almost 3 years ago
Updated: 13 days ago
Last pushed: about 2 months ago
Last synced: 12 days ago
Commit Stats
Commits: 195
Authors: 69
Mean commits per author: 2.83
Development Distribution Score: 0.779
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Megvii-BaseDetection/YOLOX
Topics: deep-learning, megengine, ncnn, object-detection, onnx, openvino, pytorch, tensorrt, yolo, yolov3, yolox
Files
Dependencies
- actions/checkout v2 composite
- actions/setup-python v1 composite
- docutils ==0.16
- hydra-core >=1.1.0.dev5
- omegaconf >=2.1.0.dev24
- recommonmark ==0.6.0
- sphinx ==3.2.0
- sphinx-markdown-tables ==0.0.15
- sphinx_rtd_theme *
- loguru *
- ninja *
- numpy *
- onnx >=1.13.0
- onnx-simplifier ==0.4.10
- opencv_python *
- psutil *
- pycocotools >=2.0.2
- tabulate *
- tensorboard *
- thop *
- torch >=1.7
- torchvision *
- tqdm *