airockchip / RK3399Pro_npuLinks
☆81Updated 2 years ago
Alternatives and similar repositories for RK3399Pro_npu
Users that are interested in RK3399Pro_npu are comparing it to the libraries listed below
Sorting:
- ☆259Updated 2 years ago
- PyTorch-->ONNX-->RKNN☆123Updated 2 years ago
- ☆122Updated last week
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆63Updated last year
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆73Updated last year
- simple yolov5 rtspserver for rk3588☆56Updated 3 months ago
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆185Updated 2 years 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
- yolov5 detector using rockchip rknn in C++☆41Updated 2 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☆46Updated 3 years ago
- YOLOv5 in PyTorch > ONNX > RKNN☆139Updated 4 years ago
- ☆25Updated last year
- yolov8 瑞芯微 rknn 板端 C++部署。☆112Updated last year
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆46Updated 2 years ago
- yolov8pose 部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon)。☆41Updated last year
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆21Updated last year
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆248Updated 3 weeks ago
- 学习yolo算法和rknn框架☆36Updated 4 years ago
- Examples for SophonSDK☆107Updated 3 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.☆74Updated 3 months ago
- ☆100Updated last year
- 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☆72Updated last year
- YoloV8 NPU for the RK3566/68/88☆74Updated last year
- A rknn cpp/c++ inference codebase for yolov5.☆31Updated 4 years ago
- 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☆50Updated 2 months ago
- yolov8pose 瑞芯微 rknn 板端 C++部署。☆36Updated last year
- ffmpeg 拉取rtsp h264流, 使用mpp解码, 目前在firefly 板子上跑通了☆237Updated last year
- ☆42Updated last year
- 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
- 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)。☆53Updated last year