Alternatives and similar repositories for AI-on-Board

Users that are interested in AI-on-Board are comparing it to the libraries listed below

• Qengineering / YoloV10-NPU
  YoloV10 NPU for the RK3566/68/88
  ☆18Updated last year
• aemior / yolov8n_rk3588
  ☆40Updated 2 years ago
• ZhangLi1210 / NanoTrack_Tensorrt_Cpp
  NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!
  ☆28Updated 2 years ago
• LittleRain626 / rknn_yolov5_3588_bytetrack
  ☆29Updated 3 years ago
• Try2ChangeX / NanoTrack_RK3588_python
  python版本基于rk3588的NanoTrack,每秒可达120FPS
  ☆123Updated 3 years ago
• l-sf / Track-trt
  基于 TensorRT 的 C++ 高性能单目标跟踪推理，支持算法OSTrack、LightTrack。
  ☆54Updated 2 years ago
• Qengineering / YoloV8-NPU
  YoloV8 NPU for the RK3566/68/88
  ☆77Updated last year
• Try2ChangeX / sort_cpp
  C++版本的sort算法，可无缝添加在检测器后进行实时多目标跟踪
  ☆11Updated 2 years ago
• Applied-Deep-Learning-Lab / Yolov5_RK3588
  YOLOv5 for RK3588
  ☆87Updated last year
• cqu20160901 / yolov8pose_rknn_Cplusplus
  yolov8pose 瑞芯微 rknn 板端 C++部署。
  ☆36Updated last year
• wzxzhuxi / rknn-3588-npu-yolo-accelerate
  rknn-3588部署yolov5，利用线程池实现npu推理加速；Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.
  ☆79Updated 6 months ago
• 455670288 / rknn-yolov8s-multi-thread-inference
  yolov8s在rk3588的推理部署，并使用多线程池并行npu推理加速
  ☆50Updated last year
• cqu20160901 / yolov8-obb_onnx_rknn_horizon_tensonRT
  yolov8 旋转目标检测部署，瑞芯微RKNN芯片部署、地平线Horizon芯片部署、TensorRT部署
  ☆28Updated last year
• cqu20160901 / yolov11_dfl_rknn_Cplusplus
  yolov11 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆68Updated 8 months ago
• crab2rab / MonocularDistanceDetect-YOLOV5-RKNN-CPP-MultiThread
  基于yolov5的C++单目摄像头测距
  ☆39Updated 2 years ago
• icetd / RkYoloRtspServer
  simple yolov5 rtspserver for rk3588
  ☆60Updated 5 months ago
• crab2rab / RKNN-YOLOV5-BatchInference-MultiThreading
  RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理
  ☆21Updated 2 years ago
• cqu20160901 / yolov10_rknn_Cplusplus
  yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆74Updated last year
• MontaukLaw / yolov5_3588_multi_thread
  启动多线程, relu激活, 3588的yolo部署, 帧率150以上.
  ☆22Updated 2 years ago
• Z-Xiong / LightTrack-rknn
  RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
  ☆12Updated 3 months ago
• heyongxin233 / YOLO-Pruning-RKNN
  Easy Training Official YOLOv11、YOLOv10、YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!
  ☆112Updated 2 months ago
• yxhuang7538 / rknn_yolov5_3588_hyx
  ☆23Updated 3 years ago
• kuaileBenbi / MVS-RKNN
  海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5
  ☆31Updated 2 years ago
• autoexpect / rknn-ffmpeg-tutorial
  ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering
  ☆46Updated 3 years ago
• shaoshengsong / rockchip_rknn_yolov5
  yolov5 detector using rockchip rknn in C++
  ☆42Updated 3 years ago
• cqu20160901 / RT-DETRv2_TensorRT_Cplusplus
  RT-DETRv2 tensorrt C++ 部署
  ☆21Updated last year
• warren-wzw / Algorithm-deployment-template-of-each-platform
  边缘设备端算法部署模板框架（包括海思SS928、Hi3519 DV500；瑞芯微rv1126、rk588、比特大陆BM1684X）,部署项目包括yolov5、picodet、MNIST，包括优化加速教程
  ☆60Updated 5 months ago
• cqu20160901 / yolov8seg_rknn_Cplusplus
  yolov8seg 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。
  ☆29Updated last year
• littledeep / YOLOv5-RK3399Pro
  PyTorch-->ONNX-->RKNN
  ☆127Updated 3 years ago
• cqu20160901 / yolov8n_onnx_tensorRT_rknn_horizon
  yolov8n 部署版本，后处理用python语言和C++语言形式进行改写，便于移植不同平台（onnx、tensorRT、RKNN、Horzion）
  ☆157Updated last year