Application development
Introduces upper-layer application development, such as QT, WiringX, Mraa, etc.
📄️ GPIOD Usage
📄️ OpenCV
📄️ RKNN Installation
Start the journey of efficient inference of AI models on Rockchip NPU through RKNN installation, and feel the perfect fusion of technology and humanities
📄️ QT Cross Compile
📄️ Simulate YOLOv5 Segmentation Inference
Explore simulated inference of AI models with the RKNN toolkit and experience the efficiency and precision of intelligent image segmentation
📄️ Deploy YOLOv5 Object Detection on the Board
📄️ RTSP Streaming
📄️ RKNN Quick Example
📄️ RKNN Ultralytics YOLOv11
Deploying YOLOv11 on the RK3588/356X board side opens a new era of intelligent target detection, allowing technology and humanistic care to merge perfectly in accurate identification