Bluessea / Hisi-YOLO-DeployLinks
Deploy Yolo series algorithms on Hisilicon platform hi3516, including yolov3, yolov5, yolox, etc
☆11Updated 3 years ago
Alternatives and similar repositories for Hisi-YOLO-Deploy
Users that are interested in Hisi-YOLO-Deploy are comparing it to the libraries listed below
Sorting:
- 海思设备上部署阉割版yolov5☆13Updated 3 years ago
- 海思nnie跑yolov5☆26Updated 3 years ago
- ☆16Updated 4 years ago
- 使用ONNXRuntime部署Detic检测2万1千种类别的物体,包含C++和Python两个版本的程序☆17Updated 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
- a simple lightweight large language model pipeline framework.☆27Updated 4 months ago
- ☆17Updated last year
- 基于海思3519的YOLOv3例程☆22Updated 4 years ago
- ☆25Updated 4 years ago
- 基于hisi3559a的yolov5☆36Updated 3 years ago
- yolov5训练转onnx转caffe工程 直接可用☆23Updated 3 years ago
- 海思hi3516dv300 nnie_mapper 工具 for ubuntu18.04☆23Updated 5 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
- 使用NCNN推理框架和ByteTrack目标跟踪框架,对网络、文件流URL进行实时性视频推理,而UI界面则由Qt框架实现☆21Updated 10 months ago
- yolov5: pytorch->onnx->caffe->hisi3559☆22Updated last year
- ☆27Updated 2 months 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
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆63Updated last year
- mpp+h264+rga+live555++opencv+rtsp☆14Updated 5 years ago
- 让海思svp更加便捷使用的代码☆20Updated 2 years ago
- 使用OpenCV+onnxruntime部署开放域目标检测,包含C++和Python两个版本的程序☆11Updated last year
- a plugin-oriented framework for video structured. 国产程序员请加微信zhzhi78拉群交流。☆20Updated last year
- opencv gpu cuda gstreamer gst-rtsp-server muti-channel-rtsp-stream-server simple demo. 非完整项目,仅供参考。☆34Updated 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
- ☆23Updated 2 years ago
- RKNN模型推理部署模板☆23Updated 2 years ago
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆46Updated 2 years ago
- yolov5 nine hi3516 hi3519 object detect real-time☆43Updated 4 years ago
- 车牌识别,基于HyperLPR实现,修改模型调用方法,使用caffe+tensorRT实现GPU加速,修改了车牌检测模型☆19Updated 3 years 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)。☆53Updated last year