yolor

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

🛠 A lite C++ toolkit of 100+ Awesome AI models, support ORT, MNN, NCNN, TNN and TensorRT. 🎉🎉

翻译 - 🍅🍅A lite C++ 工具包，包含具有 ONNXRuntime、NCNN、MNN 和 TNN 的出色 AI 模型。 YOLOX、YOLOP、YOLOv5、YOLOR、NanoDet、YOLOX、SCRFD、YOLOX。 MNN、NCNN、TNN、ONNXRuntime、CPU/GPU。

🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

翻译 - 论文的实施-您只能学习一种表示形式：用于多个任务的统一网络（https://arxiv.org/abs/2105.04206）

NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

翻译 - NVIDIA DeepStream SDK 6.0 configuration for YOLO models

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.