MontaukLaw / rknn_yolo_rtspLinks
☆21Updated 2 years ago
Alternatives and similar repositories for rknn_yolo_rtsp
Users that are interested in rknn_yolo_rtsp are comparing it to the libraries listed below
Sorting:
- ☆29Updated 3 years ago
- 基于rknn的yolov5的cpp实现,包含各种依赖库,是一个完整工程,可直接编译运行☆21Updated 3 years ago
- ☆16Updated 4 years ago
- 使用ONNXRuntime部署阿里达摩院开源DAMO-YOLO目标检测,一共包含27个onnx模型,依然是包含了C++和Python两个版本的程序☆35Updated 2 years ago
- 使用onnxruntime部署YOWOv2视频动作检测,包含C++和Python两个版本的程序☆28Updated last month
- 学习yolo算法和rknn框架☆36Updated 4 years ago
- 使用ONNXRuntime部署PicoDet目标检测,包含C++和Python两个版本的程序☆30Updated 3 years ago
- yolov7 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(caffe、onnx、tensorRT、RKNN、Horzion)。☆32Updated 2 years ago
- 使用ONNXRuntime部署PP-YOLOE目标检测,支持PP-YOLOE-s、PP-YOLOE-m、PP-YOLOE-l、PP-YOLOE-x四种结构,包含C++和Python两个版本的程序☆21Updated 3 years ago
- ☆22Updated last year
- A rknn cpp/c++ inference codebase for yolov5.☆31Updated 4 years ago
- ☆23Updated 3 years ago
- yolov5部署☆19Updated 3 years ago
- ☆16Updated 2 years ago
- toybrick rknn multithread c demo frame work☆21Updated 5 years ago
- The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588☆47Updated 3 years ago
- nanodet_rknn on rk3399pro platform☆17Updated 3 years ago
- yolov5s_ncnn_inference pipeline☆21Updated 4 years ago
- PP-YOLOE行人检测+HRNet人体骨骼关键点检测,使用ONNXRuntime部署,包含C++和Python两个版本的程序☆40Updated 3 years ago
- 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 3 years ago
- UNetMultiLane 多车道线和车道线类型识别部署版本,测试不同平台部署(onnx、tensorRT、RKNN、Horzion),可识别所在的车道和车道线的类型。☆28Updated last year
- RKNN模型推理部署模板☆24Updated 2 years ago
- 使用OpenCV部署P2PNet人群检测和计数,包含C++和Python两种版本的实现☆55Updated 4 years ago
- Multi-thread tracking of YOLOv5 and ByteTrack implemented by C++, accelerated by TensorRT. YOLOv5 和 ByteTrack 的多线程追踪 C++ 实现, 使用 TensorRT …☆79Updated 5 months ago
- 使用OpenCV部署L2CS-Net人脸朝向估计,包含C++和Python两个版本的程序,只依赖opencv库就可以运行☆20Updated 2 years ago
- A simple implementation of Tensorrt PPYOLOE☆17Updated 3 years ago
- ncnn 实现一些项目例子☆26Updated 2 years ago
- 使用OpenCV部署FastestDet,包含C++和Python两种版本的程序。模型文件不超过1M☆42Updated 3 years ago
- 高效部署:YOLO X, V3, V4, V5, V6, V7, V8, EdgeYOLO TRT推理 ™️ ,前后处理均由CUDA核函数实现 CPP/CUDA🚀☆52Updated 2 years ago
- 使用ONNXRuntime部署DeDoDe:"局部特征匹配:检测,不要描述——描述,不要检测"。依然是C++和Python两个版本的程序☆23Updated last year