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@@ -146,44 +146,43 @@ int main(int argc, char* argv[]) {
## 3. 轻量化SDK快速实现端侧AI推理部署 📱
<div id="fastdeploy-edge-sdk"></div>
| <font size=2> 任务场景 | <font size=2> 模型 | <font size=2> 大小(MB) | <font size=2>边缘端 | <font size=2>移动端 | <font size=2> 移动端 |
| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: |
| --- | --- | --- | <font size=2> Linux | <font size=2> Android | <font size=2> iOS |
| --- | --- | --- | <font size=2> ARM CPU | <font size=2> ARM CPU | <font size=2> ARM CPU |
| Classification | PP-LCNet | 11.9 | ✅ | ✅ | ✅ |
| Classification | PP-LCNetv2 | 26.6 | ✅ | ✅ | ✅ |
| Classification | EfficientNet | 31.4 | ✅ | ✅ | ✅ |
| Classification | GhostNet | 20.8 | ✅ | ✅ | ✅ |
| Classification | MobileNetV1 | 17 | ✅ | ✅ | ✅ |
| Classification | MobileNetV2 | 14.2 | ✅ | ✅ | ✅ |
| Classification | MobileNetV3 | 22 | ✅ | ✅ | ✅ |
| Classification | ShuffleNetV2 | 9.2 | ✅ | ✅ | ✅ |
| Classification | SqueezeNetV1.1 | 5 | ✅ | ✅ | ✅ |
| Classification | Inceptionv3 | 95.5 | ✅ | ✅ | ✅ |
| Classification | PP-HGNet | 59 | ✅ | ✅ | ✅ |
| Classification | SwinTransformer_224_win7 | 352.7 | ✅ | ✅ | ✅ |
| Detection | PP-PicoDet_s_320_coco | 4.1 | ✅ | ✅ | ✅ |
| Detection | PP-PicoDet_s_320_lcnet | 4.9 | ✅ | ✅ | ✅ |
| Detection | CenterNet | 4.8 | ✅ | ✅ | ✅ |
| Detection | YOLOv3_MobileNetV3 | 94.6 | ✅ | ✅ | ✅ |
| Detection | PP-YOLO_tiny_650e_coco | 4.4 | ✅ | ✅ | ✅ |
| Detection | SSD_MobileNetV1_300_120e_voc | 23.3 | ✅ | ✅ | ✅ |
| Detection | PP-YOLO_ResNet50vd | 188.5 | ✅ | ✅ | ✅ |
| Detection | PP-YOLOv2_ResNet50vd | 218.7 | ✅ | ✅ | ✅ |
| Detection | PP-YOLO_crn_l_300e_coco | 209.1 | ✅ | ✅ | ✅ |
| Detection | YOLOv5s | 29.3 | ✅ | ✅ | ✅ |
| FaceDetection | BlazeFace | 1.5 | ✅ | ✅ | ✅ |
| FaceDetection | RetinaFace | 1.7 | ✅ | ❌ | ❌ |
| KeypointsDetection | PP-TinyPose | 5.5 | ✅ | ✅ | ✅ |
| Segmentation | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ |
| Segmentation | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ |
| Segmentation | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ |
| Segmentation | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ |
| Segmentation | Unet | 53.7 | ❌ | ✅ | ❌ |
| OCR | PP-OCRv1 | 2.3+4.4 | ✅ | ✅ | ✅ |
| OCR | PP-OCRv2 | 2.3+4.4 | ✅ | ✅ | ✅ |
| OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ |
| OCR | PP-OCRv3-tiny | 2.4+10.7 | ✅ | ✅ | ✅ |
| <font size=2> 场景 | <font size=2> 模型 | <font size=2> 大小(MB) | <font size=2> Linux | <font size=2> Android | <font size=2> iOS |<font size=2> Linux | <font size=2> Linux | <font size=2> Linux | 扩展中... |
| :--------: | :--------: | :--------: | :--------: | :--------: | :--------: |:--------: | :--------: | :--------: | :--------: |
| --- | --- | --- | <font size=2> ARM CPU | <font size=2> ARM CPU | <font size=2> ARM CPU|<font size=2> 瑞芯微NPU RV1109/RV1126/RK1808 | <font size=2> 晶晨NPU A311D/S905D3/C308X | <font size=2> 恩智浦NPU i.MX 8M Plus |扩展中... |
| Detection | PP-PicoDet_s_320_coco | 4.1 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Detection | PP-PicoDet_s_320_lcnet | 4.9 | ✅ | ✅ | ✅ |✅ | ✅ | ✅ |
| Detection | CenterNet | 4.8 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Detection | YOLOv3_MobileNetV3 | 94.6 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Detection | PP-YOLO_tiny_650e_coco | 4.4 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Detection | SSD_MobileNetV1_300_120e_voc | 23.3 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Detection | PP-YOLO_ResNet50vd | 188.5 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Detection | PP-YOLOv2_ResNet50vd | 218.7 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Detection | PP-YOLO_crn_l_300e_coco | 209.1 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Detection | YOLOv5s | 29.3 | ✅ | ✅ | ✅ | \ | \ | \ | |
| FaceDetection | BlazeFace | 1.5 | ✅ | ✅ | ✅ | \ | \ | \ | |
| FaceDetection | RetinaFace | 1.7 | ✅ | ❌ | ❌ | \ | \ | \ | |
| Classification | PP-LCNet | 11.9 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | PP-LCNetv2 | 26.6 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | EfficientNet | 31.4 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | GhostNet | 20.8 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | MobileNetV1 | 17 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | MobileNetV2 | 14.2 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | MobileNetV3 | 22 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | ShuffleNetV2 | 9.2 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | SqueezeNetV1.1 | 5 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | Inceptionv3 | 95.5 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | PP-HGNet | 59 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Classification | SwinTransformer_224_win7 | 352.7 | ✅ | ✅ | ✅ | \ | \ | \ | |
| KeypointsDetection | PP-TinyPose | 5.5 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Segmentation | PP-LiteSeg(STDC1) | 32.2 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Segmentation | PP-HumanSeg-Lite | 0.556 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Segmentation | HRNet-w18 | 38.7 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Segmentation | PP-HumanSeg-Server | 107.2 | ✅ | ✅ | ✅ | \ | \ | \ | |
| Segmentation | Unet | 53.7 | ❌ | ✅ | ❌ | \ | \ | \ | |
| OCR | PP-OCRv1 | 2.3+4.4 | ✅ | ✅ | ✅ | \ | \ | \ | |
| OCR | PP-OCRv2 | 2.3+4.4 | ✅ | ✅ | ✅ | \ | \ | \ | |
| OCR | PP-OCRv3 | 2.4+10.6 | ✅ | ✅ | ✅ | \ | \ | \ | |
| OCR | PP-OCRv3-tiny | 2.4+10.7 | ✅ | ✅ | ✅ | \ | \ | \ | |
### 3.1 边缘侧部署
<div id="fastdeploy-edge-sdk-arm-linux"></div>