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.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

7.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

8.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

9.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

10.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

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

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

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

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

五、表格识别

模型名称	config
SLANet	SLANet.yaml

六、文本检测

1.PP-OCRv4 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

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、版面分析

模型名称	config
PicoDet_layout_1x	PicoDet_layout_1x.yaml

九、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、时序分类

模型名称	config
TimesNet_cls	TimesNet_cls.yaml

十一、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