AI Algorithm Deployment
Rockchip NPU platforms support the deployment of a range of mainstream artificial intelligence algorithms, including but not limited to the following categories of algorithms:
| sample | category |
|---|---|
| LPRNet | License Plate Recognition |
| PPOCR | OCR |
| RetinaFace | Face detection |
| clip | MultiModal Object Detection |
| deeplabv3 | Semantic segmentation |
| lite_transformer | Lite NLP |
| mobilenet | Image classification |
| ppseg | Instance segmentation |
| ppyoloe | Object Detection |
| resnet | Image classification |
| whisper | Speech Recognition |
| YAMNet | Audio classification |
| yolo_world | Object Detection |
| yolov10 | Object Detection |
| yolov5 | Object Detection |
| yolov5_seg | Instance segmentation |
| yolov6 | Object Detection |
| yolov7 | Object Detection |
| yolov8 | Object Detection |
| yolov8_obb | Rotating Frame Object Detection |
| yolov8_pose | Keypoint detection |
| yolov8_seg | Instance segmentation |
| yolox | Object Detection |
In addition to the above artificial intelligence algorithms,see rknn_model_zoo for more examples.Rockchip NPU platforms also support large language models. For information on deploying large language models, please refer to the Large Language Model section.