Uhao-P / rk3588_read_videoLinks
rk3588 various solutions for reading camera and video files
☆20Updated last year
Alternatives and similar repositories for rk3588_read_video
Users that are interested in rk3588_read_video are comparing it to the libraries listed below
Sorting:
- 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
- ☆40Updated 2 years ago
- python版本基于rk3588的NanoTrack, 每秒可达120FPS☆128Updated 3 years ago
- yolov8s在rk3588的推理部署,并使用多线程池并行npu推理加速☆55Updated last year
- This project implements YOLOv11 inference on the RK3588 platform using the RKNN framework. With deep optimization of the official code an…☆63Updated last year
- yolov5 detector using rockchip rknn in C++☆42Updated 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.☆83Updated 7 months 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☆81Updated 2 years ago
- Examples of AI model running on the board, such as horizon/rockchip and so on.☆21Updated 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。☆39Updated last year
- rk3568的推理+推流☆19Updated last year
- RK3588 Debian11环境下实现yolov5-face的推理实现,包括Python和C++实现。主要依赖RKNPU2 SDK和rknn_toolkit_lite2☆25Updated last year
- RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理☆22Updated 2 years ago
- 基于yolov5的C++单目摄像头测距☆39Updated 2 years ago
- yolov11(yolov8)尝试了7种不同的部署方法,并对每种方法的优势进行了简单总结。不同的平台、不同的时耗或CPU占用需求,总有一种方法是适用的。针对想入门部署的也是一个很好的参考学习资料。☆44Updated 10 months ago
- YoloV8 NPU for the RK3566/68/88☆79Updated last year
- simple yolov5 rtspserver for rk3588☆62Updated 7 months ago
- 海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5☆32Updated 2 years ago
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆74Updated last year
- ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering☆47Updated 3 years ago
- Track vehicles and persons on rk3588 / rk3399pro.☆442Updated 2 years ago
- Modify Code From rknn-toolkit2☆55Updated last year
- yolov8 瑞芯微 rknn 板端 C++部署。☆114Updated last year
- yolov11 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆70Updated 9 months 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。☆47Updated last year
- 基于u2net网络进行简单修改使其部署到rk3588板子上☆23Updated 2 years ago
- ☆29Updated 3 years ago
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆22Updated 2 years ago
- yolov8pose 瑞芯微 rknn 板端 C++部署。☆36Updated last year
- gstreamer rtsp client support rockchip and jetson nx for C/C++ Python☆63Updated last year