🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

an edge-real-time anchor-free object detector with decent performance

YOLOv5 in PyTorch > ONNX > RKNN

simple yolov5 rtspserver for rk3588

LightStereo算法的c++实现，包括TensorRT、RKNN、OnnxRuntime

Run your yolov7 object detection with Rockchip NPU platforms (RK3566, RK3568, RK3588, RK3588S, RV1103, RV1106, RK3562).

C++ implementations of YOLOv8/YOLO26, RT-DETR-V2(RTDETR), MobileSAM, and NanoSAM on TensorRT, ONNX Runtime, and RKNN.

Automated script to convert Huggingface and GGUF models to rkllm format for running on Rockchip NPU

AIOTEC 是新一代开源边缘计算系统，B/S架构可视化配置，是创新融合 RTU 系统与视觉边缘计算系统。它支持多协议物联网设备接入，可实时采集控制数据，同时搭载深度学习框架，在边缘侧高效完成实时视觉分析，响应快且省带宽。适用于工业制造、智慧城市、智慧农业等场景。 架构主要开发语言为C++，适配arm64、amd64、x86等系统。 我们期望AIOTEC能够为使用人员提供更加高效、便捷、智能的体验。

A Rust-based, SenseVoiceSmall

Inference YOLOv8 segmentation on ONNX, RKNN, Horizon and TensorRT

Qwen3-VL-2B on the RK3588 NPU

Real-time drone detection @ blazing fast 30 FPS on RV1106 | Zero-copy DMA + hardware RGA acceleration | YOLOv5 RKNN | MAVLink telemetry streaming | Picoclaw integration

Rust bindings for the Rockchip RKNN Runtime API (librknnrt.so), enabling deployment of deep learning models on Rockchip NPUs. This library is a key component of the RKNN SDK, providing efficient integration between Rust applications and Rockchip’s neural processing unit for optimized AI model execution.

统一的 YOLOv8 视觉部署流水线。将模型训练、ONNX 导出与 RKNN 量化转换整合入单一代码库。支持 Win/WSL 跨平台一键部署，并提供专业的数据集管理与去重工具，轻松适配 RK3588/RK3568 等硬件

DepthAnything算法的c++实现，包括TensorRT、RKNN、OnnxRuntime三种硬件平台(推理引擎).

Automated converter for ONNX models (particularly ESRGAN) to RKNN format for Rockchip NPUs. Features include Docker-based conversion and GitHub Actions automation.