support_model_list.md 23 KB
PaddleX 模型列表
一、图像分类
1. ResNet 系列
| 模型名称 | config |
|---|---|
| ResNet18 | ResNet18.yaml |
| ResNet18_vd | ResNet18_vd.yaml |
| ResNet34 | ResNet34.yaml |
| ResNet34_vd | ResNet34_vd.yaml |
| ResNet50 | ResNet50.yaml |
| ResNet50_vd | ResNet50_vd.yaml |
| ResNet101 | ResNet101.yaml |
| ResNet101_vd | ResNet101_vd.yaml |
| ResNet152 | ResNet152.yaml |
| ResNet152_vd | ResNet152_vd.yaml |
| ResNet200_vd | ResNet200_vd.yaml |
2.PP-LCNet & PP-LCNetV2 系列
| 模型名称 | config |
|---|---|
| PP-LCNet_x0_25 | PP-LCNet_x0_25.yaml |
| PP-LCNet_x0_35 | PP-LCNet_x0_35.yaml |
| PP-LCNet_x0_5 | PP-LCNet_x0_5.yaml |
| PP-LCNet_x0_75 | PP-LCNet_x0_75.yaml |
| PP-LCNet_x1_0 | PP-LCNet_x1_0.yaml |
| PP-LCNet_x1_5 | PP-LCNet_x1_5.yaml |
| PP-LCNet_x2_0 | PP-LCNet_x2_0.yaml |
| PP-LCNet_x2_5 | PP-LCNet_x2_5.yaml |
| PP-LCNetV2_small | PP-LCNetV2_small.yaml |
| PP-LCNetV2_base | PP-LCNetV2_base.yaml |
| PP-LCNetV2_large | PP-LCNetV2_large.yaml |
3.MobileNetV1 系列
| 模型名称 | config |
|---|---|
| MobileNetV1_x0_25 | MobileNetV1_x0_25.yaml |
| MobileNetV1_x0_5 | MobileNetV1_x0_5.yaml |
| MobileNetV1_x0_75 | MobileNetV1_x0_75.yaml |
| MobileNetV1_x1_0 | MobileNetV1_x1_0.yaml |
4.MobileNetV2 系列
| 模型名称 | config |
|---|---|
| MobileNetV2_x0_25 | MobileNetV2_x0_25.yaml |
| MobileNetV2_x0_5 | MobileNetV2_x0_5.yaml |
| MobileNetV2_x1_0 | MobileNetV2_x1_0.yaml |
| MobileNetV2_x1_5 | MobileNetV2_x1_5.yaml |
| MobileNetV2_x2_0 | MobileNetV2_x2_0.yaml |
5.MobileNetV3 系列
| 模型名称 | config |
|---|---|
| MobileNetV3_small_x0_35 | MobileNetV3_small_x0_35.yaml |
| MobileNetV3_small_x0_5 | MobileNetV3_small_x0_5.yaml |
| MobileNetV3_small_x0_75 | MobileNetV3_small_x0_75.yaml |
| MobileNetV3_small_x1_0 | MobileNetV3_small_x1_0.yaml |
| MobileNetV3_small_x1_25 | MobileNetV3_small_x1_25.yaml |
| MobileNetV3_large_x0_35 | MobileNetV3_large_x0_35.yaml |
| MobileNetV3_large_x0_5 | MobileNetV3_large_x0_5.yaml |
| MobileNetV3_large_x0_75 | MobileNetV3_large_x0_75.yaml |
| MobileNetV3_large_x1_0 | MobileNetV3_large_x1_0.yaml |
| MobileNetV3_large_x1_25 | MobileNetV3_large_x1_25.yaml |
6.MobileNetV4 系列
| 模型名称 | config |
|---|---|
| MobileNetV4_conv_small | MobileNetV4_conv_small.yaml |
| MobileNetV4_conv_medium | MobileNetV4_conv_medium.yaml |
| MobileNetV4_conv_large | MobileNetV4_conv_large.yaml |
| MobileNetV4_hybrid_medium | MobileNetV4_hybrid_medium.yaml |
| MobileNetV4_hybrid_large | MobileNetV4_hybrid_large.yaml |
7.PP-HGNet 系列
| 模型名称 | config |
|---|---|
| PP-HGNet_tiny | PP-HGNet_tiny.yaml |
| PP-HGNet_small | PP-HGNet_small.yaml |
| PP-HGNet_base | PP-HGNet_base.yaml |
8.PP-HGNetV2 系列
| 模型名称 | config |
|---|---|
| PP-HGNetV2-B0 | PP-HGNetV2-B0.yaml |
| PP-HGNetV2-B1 | PP-HGNetV2-B1.yaml |
| PP-HGNetV2-B2 | PP-HGNetV2-B2.yaml |
| PP-HGNetV2-B3 | PP-HGNetV2-B3.yaml |
| PP-HGNetV2-B4 | PP-HGNetV2-B4.yaml |
| PP-HGNetV2-B5 | PP-HGNetV2-B5.yaml |
| PP-HGNetV2-B6 | PP-HGNetV2-B6.yaml |
9.CLIP 系列
| 模型名称 | config |
|---|---|
| CLIP_vit_base_patch16_224 | CLIP_vit_base_patch16_224.yaml |
| CLIP_vit_large_patch14_224 | CLIP_vit_large_patch14_224.yaml |
10.ConvNeXt 系列
| 模型名称 | config |
|---|---|
| ConvNeXt_tiny | ConvNeXt_tiny.yaml |
| ConvNeXt_small | ConvNeXt_small.yaml |
| ConvNeXt_base_224 | ConvNeXt_base_224.yaml |
| ConvNeXt_base_384 | ConvNeXt_base_384.yaml |
| ConvNeXt_large_224 | ConvNeXt_large_224.yaml |
| ConvNeXt_large_384 | ConvNeXt_large_384.yaml |
11.SwinTransformer系列
| 模型名称 | config |
|---|---|
| SwinTransformer_tiny_patch4_window7_224 | SwinTransformer_tiny_patch4_window7_224.yaml |
| SwinTransformer_small_patch4_window7_224 | SwinTransformer_small_patch4_window7_224.yaml |
| SwinTransformer_base_patch4_window7_224 | SwinTransformer_base_patch4_window7_224.yaml |
| SwinTransformer_base_patch4_window12_384 | SwinTransformer_base_patch4_window12_384.yaml |
| SwinTransformer_large_patch4_window7_224 | SwinTransformer_large_patch4_window7_224.yaml |
| SwinTransformer_large_patch4_window12_384 | SwinTransformer_large_patch4_window12_384.yaml |
12.StarNet系列
| 模型名称 | config |
|---|---|
| StarNet-S1 | StarNet-S1.yaml |
| StarNet-S2 | StarNet-S2.yaml |
| StarNet-S3 | StarNet-S3.yaml |
| StarNet-S4 | StarNet-S4.yaml |
13.FasterNet系列
| 模型名称 | config |
|---|---|
| FasterNet-L | FasterNet-L.yaml |
| FasterNet-M | FasterNet-M.yaml |
| FasterNet-S | FasterNet-S.yaml |
| FasterNet-T0 | FasterNet-T0.yaml |
| FasterNet-T1 | FasterNet-T1.yaml |
| FasterNet-T2 | FasterNet-T2.yaml |
14. 多标签分类系列
| 模型名称 | config |
|---|---|
| ResNet50_ML | ResNet50_ML.yaml |
| PP-LCNet_x1_0_ML | PP-LCNet_x1_0_ML.yaml |
| PP-HGNetV2-B0_ML | PP-HGNetV2-B0_ML.yaml |
| PP-HGNetV2-B4_ML | PP-HGNetV2-B4_ML.yaml |
| PP-HGNetV2-B6_ML | PP-HGNetV2-B6_ML.yaml |
| CLIP_vit_base_patch16_448_ML | CLIP_vit_base_patch16_448_ML.yaml |
12. 文档图像方向分类
| 模型名称 | config |
|---|---|
| PP-LCNet_x1_0_doc_ori | PP-LCNet_x1_0_doc_ori.yaml |
二、目标检测
1. PP-YOLOE_plus 系列
| 模型名称 | config |
|---|---|
| PP-YOLOE_plus-S | PP-YOLOE_plus-S.yaml |
| PP-YOLOE_plus-M | PP-YOLOE_plus-M.yaml |
| PP-YOLOE_plus-L | PP-YOLOE_plus-L.yaml |
| PP-YOLOE_plus-X | PP-YOLOE_plus-X.yaml |
| PP-YOLOE+_SOD-L | PP-YOLOE+_SOD-L.yaml |
| PP-YOLOE+_SOD-S | PP-YOLOE+_SOD-S.yaml |
| PP-YOLOE+_SOD-largesize-L | PP-YOLOE+_SOD-largesize-L.yaml |
2. RT-DETR 系列
| 模型名称 | config |
|---|---|
| RT-DETR-R18 | RT-DETR-R18.yaml |
| RT-DETR-R50 | RT-DETR-R50.yaml |
| RT-DETR-L | RT-DETR-L.yaml |
| RT-DETR-H | RT-DETR-H.yaml |
| RT-DETR-X | RT-DETR-X.yaml |
3. PicoDet系列
| 模型名称 | config |
|---|---|
| PicoDet-S | PicoDet-S.yaml |
| PicoDet-L | PicoDet-L.yaml |
| PicoDet-M | PicoDet-M.yaml |
| PicoDet-XS | PicoDet-XS.yaml |
| PP-ShiTuV2_det | PP-ShiTuV2_det.yaml |
| PicoDet_LCNet_x2_5_face | PicoDet_LCNet_x2_5_face.yaml |
4. YOLOv3 系列
| 模型名称 | config |
|---|---|
| YOLOv3-DarkNet53 | YOLOv3-DarkNet53.yaml |
| YOLOv3-MobileNetV3 | YOLOv3-MobileNetV3.yaml |
| YOLOv3-ResNet50_vd_DCN | YOLOv3-ResNet50_vd_DCN.yaml |
5. YOLOX 系列
| 模型名称 | config |
|---|---|
| YOLOX-L | YOLOX-L.yaml |
| YOLOX-M | YOLOX-M.yaml |
| YOLOX-N | YOLOX-N.yaml |
| YOLOX-S | YOLOX-S.yaml |
| YOLOX-T | YOLOX-T.yaml |
| YOLOX-X | YOLOX-X.yaml |
6. FasterRCNN 系列
| 模型名称 | config |
|---|---|
| FasterRCNN-ResNet34-FPN | FasterRCNN-ResNet34-FPN.yaml |
| FasterRCNN-ResNet50 | FasterRCNN-ResNet50.yaml |
| FasterRCNN-ResNet50-FPN | FasterRCNN-ResNet50-FPN.yaml |
| FasterRCNN-ResNet50-vd-FPN | FasterRCNN-ResNet50-vd-FPN.yaml |
| FasterRCNN-ResNet50-vd-SSLDv2-FPN | FasterRCNN-ResNet50-vd-SSLDv2-FPN.yaml |
| FasterRCNN-ResNet101 | FasterRCNN-ResNet101.yaml |
| FasterRCNN-ResNet101-FPN | FasterRCNN-ResNet101-FPN.yaml |
| FasterRCNN-ResNeXt101-vd-FPN | FasterRCNN-ResNeXt101-vd-FPN.yaml |
| FasterRCNN-Swin-Tiny-FPN | FasterRCNN-Swin-Tiny-FPN.yaml |
7. Cascade 系列
| 模型名称 | config |
|---|---|
| Cascade-FasterRCNN-ResNet50-FPN | Cascade-FasterRCNN-ResNet50-FPN.yaml |
| Cascade-FasterRCNN-ResNet50-vd-SSLDv2-FPN | Cascade-FasterRCNN-ResNet50-vd-SSLDv2-FPN.yaml |
8. FCOS 系列
| 模型名称 | config |
|---|---|
| FCOS-ResNet50 | FCOS-ResNet50.yaml |
9. DETR 系列
| 模型名称 | config |
|---|---|
| DETR-R50 | DETR-R50.yaml |
10. PP-YOLOE 系列
| 模型名称 | config |
|---|---|
| PP-YOLOE-L_vehicle | PP-YOLOE-vehicle-L.yaml |
| PP-YOLOE-S_vehicle | PP-YOLOE-vehicle-S.yaml |
| PP-YOLOE-L_human | PP-YOLOE-human-L.yaml |
| PP-YOLOE-S_human | PP-YOLOE-human-S.yaml |
11. CenterNet 系列
| 模型名称 | config |
|---|---|
| CenterNet-DLA-34 | CenterNet-DLA-34.yaml |
| CenterNet-ResNet50 | CenterNet-ResNet50.yaml |
三、实例分割
1.Mask-RT-DETR 系列
| 模型名称 | config |
|---|---|
| Mask-RT-DETR-L | Mask-RT-DETR-L.yaml |
| Mask-RT-DETR-H | Mask-RT-DETR-H.yaml |
四、语义分割
1.Deeplabv3 系列
| 模型名称 | config |
|---|---|
| Deeplabv3-R50 | Deeplabv3-R50.yaml |
| Deeplabv3-R101 | Deeplabv3-R101.yaml |
| Deeplabv3_Plus-R50 | Deeplabv3_Plus-R50.yaml |
| Deeplabv3_Plus-R101 | Deeplabv3_Plus-R101.yaml |
2.OCRNet 系列
| 模型名称 | config |
|---|---|
| OCRNet_HRNet-W48 | OCRNet_HRNet-W48.yaml |
| OCRNet_HRNet-W18 | OCRNet_HRNet-W18.yaml |
3.PP-LiteSeg系列
| 模型名称 | config |
|---|---|
| PP-LiteSeg-T | PP-LiteSeg-T.yaml |
4.SegFormer 系列
| 模型名称 | config |
|---|---|
| SegFormer-B0 | SegFormer-B0.yaml |
| SegFormer-B1 | SegFormer-B1.yaml |
| SegFormer-B2 | SegFormer-B2.yaml |
| SegFormer-B3 | SegFormer-B3.yaml |
| SegFormer-B4 | SegFormer-B4.yaml |
| SegFormer-B5 | SegFormer-B5.yaml |
5.SeaFormer 系列
| 模型名称 | config |
|---|---|
| SeaFormer_tiny | SeaFormer_tiny.yaml |
| SeaFormer_small | SeaFormer_small.yaml |
| SeaFormer_base | SeaFormer_base.yaml |
| SeaFormer_large | SeaFormer_large.yaml |
6.STFPM 系列
| 模型名称 | config |
|---|---|
| STFPM | STFPM.yaml |
五、表格识别
| 模型名称 | config |
|---|---|
| SLANet | SLANet.yaml |
六、文本检测
1.PP-OCRv4常规文本检测系列
| 模型名称 | config |
|---|---|
| PP-OCRv4_server_det | PP-OCRv4_server_det.yaml |
| PP-OCRv4_mobile_det | PP-OCRv4_mobile_det.yaml |
1.PP-OCRv4 印章文本检测系列
| 模型名称 | config |
|---|---|
| PP-OCRv4_server_seal_det | PP-OCRv4_server_seal_det.yaml |
| PP-OCRv4_mobile_seal_det | PP-OCRv4_mobile_det.yaml |
七、文本识别
1.PP-OCRv4 系列
| 模型名称 | config |
|---|---|
| PP-OCRv4_server_rec | PP-OCRv4_server_rec.yaml |
| PP-OCRv4_mobile_rec | PP-OCRv4_mobile_rec.yaml |
八、公式识别
| 模型名称 | config |
|---|---|
| LaTeX_OCR_rec | LaTeX_OCR_rec.yml |
九、版面分析
| 模型名称 | config |
|---|---|
| PicoDet_layout_1x | PicoDet_layout_1x.yaml |
| PicoDet-L_layout | PicoDet-L_layout.yaml |
| RT-DETR-H_layout_3cls | RT-DETR-H_layout.yaml |
| RT-DETR-H_layout_17cls | RT-DETR-H_layout.yaml |
十、时序异常检测
| 模型名称 | config |
|---|---|
| DLinear_ad | DLinear_ad.yaml |
| PatchTST_ad | PatchTST_ad.yaml |
| TimesNet_ad | TimesNet_ad.yaml |
| AutoEncoder_ad | AutoEncoder_ad.yaml |
| Nonstationary_ad | Nonstationary_ad.yaml |
十一、时序分类
| 模型名称 | config |
|---|---|
| TimesNet_cls | TimesNet_cls.yaml |
十二、时序预测
| 模型名称 | config |
|---|---|
| DLinear | DLinear.yaml |
| RLinear | RLinear.yaml |
| NLinear | NLinear.yaml |
| PatchTST | PatchTST.yaml |
| TimesNet | TimesNet.yaml |
| Nonstationary | Nonstationary.yaml |
| TiDE | TiDE.yaml |