Artificial Intelligence
This section introduces AI applications, including the RKNN and RKLLM toolchains, the RKNN Model Zoo examples, and common model deployment workflows.
📄️ RKNN Installation
Install RKNN to run AI models efficiently on Rockchip NPUs
📄️ RKNN Model Zoo
📄️ RKLLM Installation
📄️ RKLLM Usage
📄️ RKNN Quick Start
📄️ Simulated Inference for a YOLOv5 Segmentation Model
Run simulated inference with RKNN Toolkit2 on a PC
📄️ Deploy YOLOv5 on the Device
📄️ Deploy YOLOv8 on the Device
Deploy YOLOv8 on-device with RK3588
📄️ RKNN Ultralytics YOLOv11
Deploy Ultralytics YOLO models on RK3588/RK356X
📄️ Convert a Custom-Trained YOLO Model
Convert a custom-trained YOLO model
📄️ Stable Diffusion (RKNN)
Convert Stable Diffusion models with RKNN
📄️ RKLLM DeepSeek-R1
📄️ RKLLM Qwen2-VL
Run the Qwen2-VL multimodal model with RKLLM
📄️ YOLOv8
📄️ PP-YOLOE
📄️ YOLO World
📄️ YOLOv8-Seg
📄️ MobileSAM
📄️ DeepLabV3
📄️ PP-OCR
📄️ LPRNet
📄️ RetinaFace
📄️ ResNet
📄️ MobileNet
📄️ CLIP
📄️ Whisper
📄️ Wav2Vec 2.0
📄️ RKLLM SmolVLM2
Use RKLLM SmolVLM2 on ROCK 5B
📄️ YOLOv8 Multi-stream Recognition
YOLOv8 multi-stream recognition with RKNN