wuha-xt / mpp_RTSP_stream_demoLinks
RTSP to RTSP stream demo. using ffmpeg-mpp, mediaMTX. pull->decode->encode->push
☆15Updated last year
Alternatives and similar repositories for mpp_RTSP_stream_demo
Users that are interested in mpp_RTSP_stream_demo are comparing it to the libraries listed below
Sorting:
- ☆103Updated last year
- 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☆58Updated 5 months ago
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆46Updated 3 years ago
- yolov8 瑞芯微 rknn 板端 C++部署。☆113Updated last year
- 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
- 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☆74Updated last year
- yolov5 detector using rockchip rknn in C++☆41Updated 2 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
- ☆124Updated last month
- ffmpeg 拉取rtsp h264流, 使用mpp解码, 目前在firefly 板子上跑通了☆239Updated 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
- 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.☆77Updated 5 months ago
- YoloV8 NPU for the RK3566/68/88☆76Updated last year
- ☆40Updated 2 years ago
- Examples for SophonSDK☆107Updated 3 years ago
- Jetson Video Encoding and Decoding ; Jetson Jetpack5.x视频编解码库☆41Updated this week
- 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。☆46Updated 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
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆22Updated last year
- ☆82Updated 2 years ago
- rknn inference☆48Updated 3 years ago
- ☆26Updated 2 months ago
- yolov8pose 瑞芯微 rknn 板端 C++部署。☆36Updated last year
- rk3568的推理+推流☆18Updated 10 months ago
- 多路rtsp硬解码☆25Updated last year
- ☆23Updated 4 years ago
- 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