BaronLeeLZP / hi3516dv300_nnie-yolov3-demoLinks
在海思Hisilicon的Hi3516dv300芯片上,利用nnie和opencv库,简洁了官方yolov3用例中各种复杂的嵌套调用/复杂编译,提供了交叉编译后可成功上板部署运行的demo。
☆47Updated 3 years ago
Alternatives and similar repositories for hi3516dv300_nnie-yolov3-demo
Users that are interested in hi3516dv300_nnie-yolov3-demo are comparing it to the libraries listed below
Sorting:
- 海思nnie跑yolov5☆26Updated 3 years ago
- 基于hisi3559a的yolov5☆36Updated 3 years ago
- yolov5s nnie☆48Updated 3 years ago
- 基于海思3519的YOLOv3例程☆22Updated 4 years ago
- Some changes on original repo☆27Updated 2 years ago
- YOLOv5 in PyTorch > ONNX > RKNN☆139Updated 4 years ago
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆63Updated last year
- simple yolov5 rtspserver for rk3588☆55Updated 3 months ago
- rknn inference☆47Updated 3 years ago
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆21Updated last year
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆73Updated last year
- yolov5 detector using rockchip rknn in C++☆41Updated 2 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☆49Updated 2 months ago
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆247Updated 2 weeks ago
- yolov8 瑞芯微 rknn 板端 C++部署。☆112Updated last year
- 海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5☆31Updated 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
- Examples for SophonSDK☆106Updated 3 years ago
- 用opencv的dnn模块做yolov5目标检测,包含C++和Python两个版本的程序,优化后的☆115Updated 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
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆185Updated 2 years ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆118Updated 3 years ago
- ☆23Updated 3 years ago
- 学习yolo算法和rknn框架☆36Updated 4 years ago
- ☆40Updated 2 years ago
- PyTorch-->ONNX-->RKNN☆123Updated 2 years ago
- yolov8n 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、速度最快的部署方式。☆45Updated last year
- ☆100Updated last year
- 分别使用OpenCV、ONNXRuntime部署NanoDet-Plus,包含C++和Python两个版本的程序☆119Updated 3 years ago
- yolov8 瑞芯微 rknn 板端 C++部署,使用平台 rk3588,全网最简单、运行最快的部署方式。☆38Updated last year