Gold IV
1,551 Elo
- #4,400 on the ladder
- +1 today · +24 this week
- Peak 1,562
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Megvii-BaseDetection/YOLOX is #4,400 on the bestofgithub Elo ladder, in Gold IV, with a rating of 1,551 (+24 this week). It has 10,708 stars, 15 gained in the last week.
1,551 Elo
10,708
git clone https://github.com/Megvii-BaseDetection/YOLOX.gitPyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
git clone https://github.com/ultralytics/yolov3.gitUltralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
git clone https://github.com/ultralytics/yolov5.git超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
git clone https://github.com/DayBreak-u/chineseocr_lite.gitLoading README…