autoexpect / rknn-ffmpeg-tutorialLinks
ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering
☆46Updated 2 years ago
Alternatives and similar repositories for rknn-ffmpeg-tutorial
Users that are interested in rknn-ffmpeg-tutorial are comparing it to the libraries listed below
Sorting:
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆63Updated last year
- simple yolov5 rtspserver for rk3588☆56Updated 3 months ago
- ☆102Updated last year
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆73Updated last year
- 挑战杯rk板端代码,gstreamer mpp硬解码,以及推理模型的rknn部署☆12Updated 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☆72Updated last year
- ☆81Updated 2 years ago
- YoloV8 NPU for the RK3566/68/88☆75Updated last year
- mpp+h264+rga+live555++opencv+rtsp☆14Updated 5 years ago
- ☆28Updated 3 years ago
- RKNN模型推理部署模板☆23Updated 2 years ago
- 海思nnie跑yolov5☆26Updated 3 years ago
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆21Updated last year
- 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
- 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
- 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.☆75Updated 4 months ago
- A demo show how to inference blazeface model on Rockchip RV1126.☆24Updated 3 years ago
- rknn inference☆47Updated 3 years ago
- 基于海思3519的YOLOv3例程☆22Updated 4 years ago
- ffmpeg 拉取rtsp h264流, 使用mpp解码, 目前在firefly 板子上跑通了☆238Updated last year
- 基于hisi3559a的yolov5☆36Updated 3 years ago
- yolov5 detector using rockchip rknn in C++☆41Updated 2 years ago
- ☆122Updated 3 weeks ago
- yolov8 瑞芯微 rknn 板端 C++部署。☆113Updated last year
- yolov8pose 部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon)。☆41Updated 2 years ago
- 学习yolo算法和rknn框架☆36Updated 4 years ago
- opencv gpu cuda gstreamer gst-rtsp-server muti-channel-rtsp-stream-server simple demo. 非完整项目,仅供参考。☆35Updated 4 years ago
- ☆24Updated last month
- 在RK3588上使用rknn runtime 推理,使用官方修改过的yolov5模型,mpp解码,rga处理图像,qt5界面显示☆21Updated 2 months ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆118Updated 3 years ago