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[Doc]Update RKNPU2 docs (#1266)

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Zheng-Bicheng
2023-02-08 19:45:24 +08:00
committed by felixhjh
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commit ad63c2707a
2 changed files with 15 additions and 13 deletions
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docs/cn/build_and_install/rknpu2.md
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@@ -11,5 +11,5 @@ RKNPU2指的是Rockchip推出的RK356X以及RK3588系列芯片的NPU。
* [RKNPU2开发环境搭建](../faq/rknpu2/environment.md)
* [编译FastDeploy](../faq/rknpu2/build.md)
* [RKNN模型导出建议](../faq/rknpu2/export.md)
* [RKNPU2模型部署demo](../faq/rknpu2/rknpu2.md)
* [RKNPU2模型速度一览表](../faq/rknpu2/rknpu2.md)
* [RKNPU2 常见问题合集](../faq/rknpu2/issues.md)

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docs/cn/faq/rknpu2/rknpu2.md
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@@ -13,18 +13,20 @@ ONNX模型不能直接调用RK芯片中的NPU进行运算，需要把ONNX模型
* ARM CPU使用ONNX框架进行测试
* NPU均使用单核进行测试
| 任务场景 | 模型 | 模型版本(表示已经测试的版本) | ARM CPU/RKNN速度(ms) |
|----------------------|------------------------------------------------------------------------------------------|--------------------------|--------------------|
| Detection | [Picodet](../../../../examples/vision/detection/paddledetection/rknpu2/README.md) | Picodet-s | 162/112 |
| Detection | [RKYOLOV5](../../../../examples/vision/detection/rkyolo/README.md) | YOLOV5-S-Relu(int8) | -/57 |
| Detection | [RKYOLOX](../../../../examples/vision/detection/rkyolo/README.md) | - | -/- |
| Detection | [RKYOLOV7](../../../../examples/vision/detection/rkyolo/README.md) | - | -/- |
| Segmentation | [Unet](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md) | Unet-cityscapes | -/- |
| Segmentation | [PP-HumanSegV2Lite](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md) | portrait(int8) | 133/43 |
| Segmentation | [PP-HumanSegV2Lite](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md) | human(int8) | 133/43 |
| Face Detection | [SCRFD](../../../../examples/vision/facedet/scrfd/rknpu2/README.md) | SCRFD-2.5G-kps-640(int8) | 108/42 |
| Face FaceRecognition | [InsightFace](../../../../examples/vision/faceid/insightface/rknpu2/README_CN.md) | ms1mv3_arcface_r18(int8) | 81/12 |
| Classification | [ResNet](../../../../examples/vision/classification/paddleclas/rknpu2/README.md) | ResNet50_vd | -/33 |
| 任务场景 | 模型 | 模型版本(表示已经测试的版本) | ARM CPU/RKNN速度(ms) |
|----------------------|--------------------------------------------------------------------------------------------------|--------------------------|--------------------|
| Detection | [Picodet](../../../../examples/vision/detection/paddledetection/rknpu2/README.md) | Picodet-s | 162/112 |
| Detection | [PaddleDetection Yolov8](../../../../examples/vision/detection/paddledetection/rknpu2/README.md) | yolov8-n | -/100 |
| Detection | [PPYOLOE](../../../../examples/vision/detection/paddledetection/rknpu2/README.md) | ppyoloe-s(int8) | -/77 |
| Detection | [RKYOLOV5](../../../../examples/vision/detection/rkyolo/README.md) | YOLOV5-S-Relu(int8) | -/57 |
| Detection | [RKYOLOX](../../../../examples/vision/detection/rkyolo/README.md) | - | -/- |
| Detection | [RKYOLOV7](../../../../examples/vision/detection/rkyolo/README.md) | - | -/- |
| Segmentation | [Unet](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md) | Unet-cityscapes | -/- |
| Segmentation | [PP-HumanSegV2Lite](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md) | portrait(int8) | 133/43 |
| Segmentation | [PP-HumanSegV2Lite](../../../../examples/vision/segmentation/paddleseg/rknpu2/README.md) | human(int8) | 133/43 |
| Face Detection | [SCRFD](../../../../examples/vision/facedet/scrfd/rknpu2/README.md) | SCRFD-2.5G-kps-640(int8) | 108/42 |
| Face FaceRecognition | [InsightFace](../../../../examples/vision/faceid/insightface/rknpu2/README_CN.md) | ms1mv3_arcface_r18(int8) | 81/12 |
| Classification | [ResNet](../../../../examples/vision/classification/paddleclas/rknpu2/README.md) | ResNet50_vd | -/33 |
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