airockchip / RK3399Pro_npu
☆77Updated last year
Alternatives and similar repositories for RK3399Pro_npu:
Users that are interested in RK3399Pro_npu are comparing it to the libraries listed below
- ☆237Updated last year
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆221Updated 5 months ago
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆183Updated 2 years ago
- ☆24Updated 11 months ago
- PyTorch-->ONNX-->RKNN☆120Updated 2 years ago
- ☆104Updated last week
- The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588☆45Updated 2 years ago
- ☆79Updated 8 months ago
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆58Updated last year
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆66Updated 8 months ago
- Examples for SophonSDK☆105Updated 2 years ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆108Updated 2 years ago
- YOLOv5 in PyTorch > ONNX > RKNN☆139Updated 4 years ago
- NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite☆175Updated 7 months ago
- yolov10 目标检测部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon),全网部署最简单、运行速度最快的部署方式(全网首发)。☆49Updated 10 months ago
- ☆40Updated 9 months ago
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆40Updated 2 years ago
- 在rockchip3588上实现用ffmpeg进行推拉流,其中推拉流使用硬件加速编解码☆64Updated last year
- ffmpeg 拉取rtsp h264流, 使用mpp解码, 目前在firefly 板子上跑通了☆225Updated last year
- Track vehicles and persons on rk3588 / rk3399pro.☆378Updated 2 years ago
- 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.☆59Updated 7 months ago
- yolov8 瑞芯微 rknn 板端 C++部署。☆102Updated last year
- simple yolov5 rtspserver for rk3588☆39Updated 3 weeks ago
- 在瑞芯微rockchip的AI芯片rv1109上,利用rknn和opencv库,修改了官方yolov3后处理部分代码Bug,交叉编译yolov3-demo示例后可成功上板部署运行。☆34Updated 3 years ago
- h264的软解和硬解,基于FFmpeg和MPP☆11Updated 3 years ago
- ☆370Updated 2 months ago
- yolov8pose 瑞芯微 rknn 板端 C++部署。☆34Updated last year
- yolov5 detector using rockchip rknn in C++☆37Updated 2 years ago
- 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)☆146Updated last year
- ☆38Updated last year