reevoid / rknn-ffmpeg-tutorialLinks
ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering
☆46Updated 3 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☆60Updated 6 months ago
- 挑战杯rk板端代码,gstreamer mpp硬解码,以及推理模型的rknn部署☆13Updated 2 years ago
- ☆108Updated last year
- ☆38Updated this week
- 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☆79Updated 2 years ago
- mpp+h264+rga+live555++opencv+rtsp☆14Updated 5 years ago
- YoloV8 NPU for the RK3566/68/88☆78Updated last year
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆74Updated last year
- 多路rtsp硬解码☆27Updated last year
- yolov8 瑞芯微 rknn 板端 C++部署。☆114Updated last year
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆22Updated 2 years ago
- yolov11 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆68Updated 8 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☆47Updated 3 years ago
- ☆29Updated 3 years ago
- rknn inference☆48Updated 3 years ago
- ☆82Updated 2 years ago
- Convert the official paddleocr model to a deployable model on RK1126☆41Updated 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.☆79Updated 6 months ago
- rk3568的推理+推流☆18Updated 11 months ago
- RKNN模型推理部署模板☆24Updated 2 years ago
- ffmpeg 拉取rtsp h264流, 使用mpp解码, 目前在firefly 板子上跑通了☆243Updated last year
- 基于海思3519的YOLOv3例程☆23Updated 4 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 detector using rockchip rknn in C++☆42Updated 3 years ago
- python版本基于rk3588的NanoTrack,每秒可达120FPS☆124Updated 3 years ago
- 海思nnie跑yolov5☆27Updated 3 years ago
- ☆40Updated 2 years ago
- h264的软解和硬解,基于FFmpeg和MPP☆11Updated 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。☆39Updated last year