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BaseCls 0.4 文档

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  • 模型库
  • 用户指南
  • API 文档

Site Navigation

  • 模型库
  • 用户指南
  • API 文档

Section Navigation

  • public(公开模型)
    • EfficientNet Series
      • effnet_b0
      • effnet_b0_lite
      • effnet_b1
      • effnet_b1_lite
      • effnet_b2
      • effnet_b2_lite
      • effnet_b3
      • effnet_b3_lite
      • effnet_b4
      • effnet_b4_lite
      • effnet_b5
      • effnet_b6
      • effnet_b7
      • effnet_b8
      • effnet_l2
      • effnetv2_b0
      • effnetv2_b1
      • effnetv2_b2
      • effnetv2_b3
      • effnetv2_l
      • effnetv2_m
      • effnetv2_s
    • HRNet Series
      • hrnet_w18
      • hrnet_w18_small_v1
      • hrnet_w18_small_v2
      • hrnet_w30
      • hrnet_w32
      • hrnet_w40
      • hrnet_w44
      • hrnet_w48
      • hrnet_w64
    • MobileNet Series
      • mbnetv1_x025
      • mbnetv1_x050
      • mbnetv1_x075
      • mbnetv1_x100
      • mbnetv2_x035
      • mbnetv2_x050
      • mbnetv2_x075
      • mbnetv2_x100
      • mbnetv2_x140
      • mbnetv3_large_x075
      • mbnetv3_large_x100
      • mbnetv3_small_x075
      • mbnetv3_small_x100
    • RegNet Series
      • regnetx_002
      • regnetx_004
      • regnetx_006
      • regnetx_008
      • regnetx_016
      • regnetx_032
      • regnetx_040
      • regnetx_064
      • regnetx_080
      • regnetx_120
      • regnetx_160
      • regnetx_320
      • regnety_002
      • regnety_004
      • regnety_006
      • regnety_008
      • regnety_016
      • regnety_032
      • regnety_040
      • regnety_064
      • regnety_080
      • regnety_120
      • regnety_160
      • regnety_320
    • RepVGG Series
      • repvgg_a0
      • repvgg_a1
      • repvgg_a2
      • repvgg_b0
      • repvgg_b1
      • repvgg_b1g2
      • repvgg_b1g4
      • repvgg_b2
      • repvgg_b2g4
      • repvgg_b3
      • repvgg_b3g4
      • repvgg_d2
    • ResMLP Series
      • resmlp_b24
      • resmlp_s12
      • resmlp_s24
      • resmlp_s36
    • ResNet Series
      • resnet101
      • resnet101d
      • resnet152
      • resnet152d
      • resnet18
      • resnet18d
      • resnet34
      • resnet34d
      • resnet50
      • resnet50d
      • resnext101_32x4d
      • resnext101_32x8d
      • resnext101_64x4d
      • resnext152_32x4d
      • resnext152_32x8d
      • resnext152_64x4d
      • resnext50_32x4d
      • se_resnet101
      • se_resnet152
      • se_resnet18
      • se_resnet34
      • se_resnet50
      • se_resnext101_32x4d
      • se_resnext101_32x8d
      • se_resnext101_64x4d
      • se_resnext152_32x4d
      • se_resnext152_32x8d
      • se_resnext152_64x4d
      • se_resnext50_32x4d
      • wide_resnet101_2
      • wide_resnet50_2
    • ShuffleNet V2 Series
      • snetv2_x050
      • snetv2_x100
      • snetv2_x150
      • snetv2_x200
    • Swin Transformer Series
      • swin_base_patch4_window12_384
      • swin_base_patch4_window7_224
      • swin_large_patch4_window12_384
      • swin_large_patch4_window7_224
      • swin_small_patch4_window7_224
      • swin_tiny_patch4_window7_224
    • VGG Series
      • vgg11_bn
      • vgg13_bn
      • vgg16_bn
      • vgg19_bn
    • ViT Series
      • vit_base_patch16_224
      • vit_base_patch16_384
      • vit_base_patch32_224
      • vit_base_patch32_384
      • vit_small_patch16_224
      • vit_small_patch16_384
      • vit_small_patch32_224
      • vit_small_patch32_384
      • vit_tiny_patch16_224
      • vit_tiny_patch16_384

Swin Transformer Series#

  • swin_base_patch4_window12_384
  • swin_base_patch4_window7_224
  • swin_large_patch4_window12_384
  • swin_large_patch4_window7_224
  • swin_small_patch4_window7_224
  • swin_tiny_patch4_window7_224

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