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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Cross-Platform Production-ready C++ inference engine for YOLO models (v5-v12, YOLO26). Unified API for detection, segmentation, pose estimation, OBB, and classification. Built on ONNX Runtime and OpenCV. Optimized for CPU/GPU with quantization support.
| Date | Stars |
|---|---|
| 2026-08-02 | 1060 |
| 2026-08-06 | 1060 |
| 2026-08-12 | 1066 |
| 2026-08-18 | 1069 |
| 2026-08-20 | 1070 |
| 2026-08-22 | 1071 |
| 2026-08-24 | 1073 |
| 2026-08-25 | 1076 |
| 2026-08-29 | 1077 |
| 2026-09-01 | 1078 |
| 2026-09-02 | 1080 |
| 2026-09-03 | 1082 |
| 2026-09-04 | 1081 |
| 2026-09-05 | 1082 |
| 2026-09-06 | 1083 |
| 2026-09-07 | 1084 |
| 2026-09-09 | 1085 |
| 2026-09-10 | 1085 |
| 2026-09-11 | 1087 |
| 2026-09-15 | 1088 |
| 2026-09-17 | 1089 |
| 2026-09-18 | 1090 |
| 2026-09-19 | 1092 |
| 2026-09-20 | 1093 |
| 2026-09-21 | 1094 |
| 2026-09-30 | 1095 |
| 2026-10-01 | 1094 |
| 2026-10-02 | 1095 |
| 2026-10-06 | 1094 |
| 2026-10-09 | 1097 |
| 2026-10-13 | 1096 |
| 2026-10-14 | 1095 |
| 2026-10-15 | 1096 |
| 2026-10-17 | 1097 |
| 2026-10-21 | 1096 |
| 2026-10-22 | 1097 |
| 2026-10-23 | 1098 |
| 2026-10-31 | 1099 |
| 2026-11-03 | 1100 |
| 2026-11-04 | 1101 |
Today
+1 stars today
This week
+3 stars this week
This month
+6 stars this month
Momentum
0.0
growth rate 0.27%/day
<p align="center"> <img src="https://raw.githubusercontent.com/Geekgineer/YOLOs-CPP/main/data/cover.png" alt="YOLOs-CPP" width="100%"/> </p> <h1 align="center">YOLOs-CPP</h1> <h3 align="center">Production-Ready YOLO Inference Engine for C++</h3> <p align="center"> <em>A blazing-fast, unified C++ inference library for the entire YOLO family</em> </p> <p align="center"> <a href="https://github.com/Geekgineer/YOLOs-CPP/stargazers"><img src="https://img.shields.io/github/stars/Geekgineer/YOLOs-CPP?style=flat-square&logo=github&color=f5c211" alt="Stars"/></a> <a href="https://github.com/Geekgineer/YOLOs-CPP/network/members"><img src="https://img.shields.io/github/forks/Geekgineer/YOLOs-CPP?style=flat-square&logo=github&color=3b82f6" alt="Forks"/></a> <a href="https://github.com/Geekgineer/YOLOs-CPP/releases"><img src="https://img.shields.io/github/v/release/Geekgineer/YOLOs-CPP?style=flat-square&color=10b981" alt="Release"/></a> <a href="https://github.com/Geekgineer/YOLOs-CPP/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-AGPL--3.0-ef4444?style=flat-square" alt="License"/></a> <a href="https://github.com/Geekgineer/YOLOs-CPP/actions"><img src="https://img.shields.io/github/actions/workflow/status/Geekgineer/YOLOs-CPP/main.yml?style=flat-square&label=CI" alt="CI"/></a> </p> <p align="center"> <a href="#-quick-start">Quick Start</a> · <a href="#-features">Features</a> · <a href="#-supported-models">Models</a> · <a href="#-api-reference">API</a> · <a href="#-benchmarks">Benchmarks</a> · <a href="docs/guides/getting-started.md">Docs</a> </p> --- ## 📰 Latest News * **[2026.08.23]** Released [ros2_yolos_trt](https://github.com/Geekgineer/ros2_yolos_trt), a ROS 2 TensorRT inference package achieving **sub-2 ms inference latency**. * **[2026.08.02]** Released **v1.1.0** with depth estimation, batch inference, in-memory model loading, and Ultralytics parity improvements. See the [release notes](https://github.com/Geekgineer/YOLOs-CPP/releases/tag/v1.1.0). * **[2026.08.02]** Added monocular metric depth estimation for YOLO26 via `yolos::depth::YOLODepthEstimator` and the `image_depth_inference` example. * **[2026.08.02]** Added batch inference with `batchDetect`, `batchSegment`, and `batchClassify`, plus in-memory model loading across all supported tasks. * **[2026.04.11]** Added [YOLOE](https://arxiv.org/abs/2503.07465) open-vocabulary detection and segmentation in C++. See the [Model Guide](docs/guides/models.md#yoloe-open-vocabulary-detection-segmentation) and the `image_yoloe_seg` / `video_yoloe_seg` examples. * **[2026.01.22]** Released [YOLOs-CPP-TensorRT](https://github.com/Geekgineer/YOLOs-CPP-TensorRT), achieving **530+ FPS** on NVIDIA GPUs and Jetson platforms. * **[2026.01.22]** Released [motcpp](https://github.com/Geekgineer/motcpp), a C++ implementation of popular multi-object tracking (MOT) algorithms. * **[2026.01.22]** Released the [ros2_yolos_cpp](https://github.com/Geekgineer/ros2_yolos_cpp) ROS 2 integration package. * **[2026.01.18]** Released production-ready **v1.0.0**. [Watch the demo](https://www.youtube.com/watch?v=Ax5vaYJ-mVQ). * **[2025.05.15]** Added image classification support. * **[2025.04.04]** Released [Depths-CPP](https://github.com/Geekgineer/Depths-CPP), a new project for real-time metric depth estimation. * **[2025.03.16]** Added pose estimation support. * **[2025.02.19]** Added YOLOv12 object detection support. * **[2025.02.11]** Added oriented bounding box (OBB) support. * **[2025.01.29]** Added YOLOv9 object detection support. * **[2025.01.26]** Added YOLOv9 segmentation support. * **[2025.01.26]** Added segmentation support for YOLOv8 and YOLO11, including quantized models. * **[2024.10.23]** Released **v0.0.1**, the initial YOLOs-CPP release with object detection support. --- ## Why YOLOs-CPP? **YOLOs-CPP** is a production-grade inference engine that brings the entire YOLO ecosystem to C++. Unlike scattered implementations, YOLOs-CPP provi
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6d59dce726a5ea95, desc:inference engine