【CV】timm支持model

目前统计支持964个模型结构。

import timm
from pprint import pprint
model_names = timm.list_models()
# model_names = timm.list_models('*resne*t*')
print(len(model_names))
pprint(model_names)
964
['adv_inception_v3',
 'bat_resnext26ts',
 'beit_base_patch16_224',
 'beit_base_patch16_224_in22k',
 'beit_base_patch16_384',
 'beit_large_patch16_224',
 'beit_large_patch16_224_in22k',
 'beit_large_patch16_384',
 'beit_large_patch16_512',
 'beitv2_base_patch16_224',
 'beitv2_base_patch16_224_in22k',
 'beitv2_large_patch16_224',
 'beitv2_large_patch16_224_in22k',
 'botnet26t_256',
 'botnet50ts_256',
 'cait_m36_384',
 'cait_m48_448',
 'cait_s24_224',
 'cait_s24_384',
 'cait_s36_384',
 'cait_xs24_384',
 'cait_xxs24_224',
 'cait_xxs24_384',
 'cait_xxs36_224',
 'cait_xxs36_384',
 'coat_lite_mini',
 'coat_lite_small',
 'coat_lite_tiny',
 'coat_mini',
 'coat_tiny',
 'coatnet_0_224',
 'coatnet_0_rw_224',
 'coatnet_1_224',
 'coatnet_1_rw_224',
 'coatnet_2_224',
 'coatnet_2_rw_224',
 'coatnet_3_224',
 'coatnet_3_rw_224',
 'coatnet_4_224',
 'coatnet_5_224',
 'coatnet_bn_0_rw_224',
 'coatnet_nano_cc_224',
 'coatnet_nano_rw_224',
 'coatnet_pico_rw_224',
 'coatnet_rmlp_0_rw_224',
 'coatnet_rmlp_1_rw_224',
 'coatnet_rmlp_2_rw_224',
 'coatnet_rmlp_3_rw_224',
 'coatnet_rmlp_nano_rw_224',
 'coatnext_nano_rw_224',
 'convit_base',
 'convit_small',
 'convit_tiny',
 'convmixer_768_32',
 'convmixer_1024_20_ks9_p14',
 'convmixer_1536_20',
 'convnext_atto',
 'convnext_atto_ols',
 'convnext_base',
 'convnext_base_384_in22ft1k',
 'convnext_base_in22ft1k',
 'convnext_base_in22k',
 'convnext_femto',
 'convnext_femto_ols',
 'convnext_large',
 'convnext_large_384_in22ft1k',
 'convnext_large_in22ft1k',
 'convnext_large_in22k',
 'convnext_nano',
 'convnext_nano_ols',
 'convnext_pico',
 'convnext_pico_ols',
 'convnext_small',
 'convnext_small_384_in22ft1k',
 'convnext_small_in22ft1k',
 'convnext_small_in22k',
 'convnext_tiny',
 'convnext_tiny_384_in22ft1k',
 'convnext_tiny_hnf',
 'convnext_tiny_in22ft1k',
 'convnext_tiny_in22k',
 'convnext_xlarge_384_in22ft1k',
 'convnext_xlarge_in22ft1k',
 'convnext_xlarge_in22k',
 'crossvit_9_240',
 'crossvit_9_dagger_240',
 'crossvit_15_240',
 'crossvit_15_dagger_240',
 'crossvit_15_dagger_408',
 'crossvit_18_240',
 'crossvit_18_dagger_240',
 'crossvit_18_dagger_408',
 'crossvit_base_240',
 'crossvit_small_240',
 'crossvit_tiny_240',
 'cs3darknet_focus_l',
 'cs3darknet_focus_m',
 'cs3darknet_focus_s',
 'cs3darknet_focus_x',
 'cs3darknet_l',
 'cs3darknet_m',
 'cs3darknet_s',
 'cs3darknet_x',
 'cs3edgenet_x',
 'cs3se_edgenet_x',
 'cs3sedarknet_l',
 'cs3sedarknet_x',
 'cs3sedarknet_xdw',
 'cspdarknet53',
 'cspresnet50',
 'cspresnet50d',
 'cspresnet50w',
 'cspresnext50',
 'darknet17',
 'darknet21',
 'darknet53',
 'darknetaa53',
 'deit3_base_patch16_224',
 'deit3_base_patch16_224_in21ft1k',
 'deit3_base_patch16_384',
 'deit3_base_patch16_384_in21ft1k',
 'deit3_huge_patch14_224',
 'deit3_huge_patch14_224_in21ft1k',
 'deit3_large_patch16_224',
 'deit3_large_patch16_224_in21ft1k',
 'deit3_large_patch16_384',
 'deit3_large_patch16_384_in21ft1k',
 'deit3_medium_patch16_224',
 'deit3_medium_patch16_224_in21ft1k',
 'deit3_small_patch16_224',
 'deit3_small_patch16_224_in21ft1k',
 'deit3_small_patch16_384',
 'deit3_small_patch16_384_in21ft1k',
 'deit_base_distilled_patch16_224',
 'deit_base_distilled_patch16_384',
 'deit_base_patch16_224',
 'deit_base_patch16_384',
 'deit_small_distilled_patch16_224',
 'deit_small_patch16_224',
 'deit_tiny_distilled_patch16_224',
 'deit_tiny_patch16_224',
 'densenet121',
 'densenet121d',
 'densenet161',
 'densenet169',
 'densenet201',
 'densenet264',
 'densenet264d_iabn',
 'densenetblur121d',
 'dla34',
 'dla46_c',
 'dla46x_c',
 'dla60',
 'dla60_res2net',
 'dla60_res2next',
 'dla60x',
 'dla60x_c',
 'dla102',
 'dla102x',
 'dla102x2',
 'dla169',
 'dm_nfnet_f0',
 'dm_nfnet_f1',
 'dm_nfnet_f2',
 'dm_nfnet_f3',
 'dm_nfnet_f4',
 'dm_nfnet_f5',
 'dm_nfnet_f6',
 'dpn68',
 'dpn68b',
 'dpn92',
 'dpn98',
 'dpn107',
 'dpn131',
 'eca_botnext26ts_256',
 'eca_halonext26ts',
 'eca_nfnet_l0',
 'eca_nfnet_l1',
 'eca_nfnet_l2',
 'eca_nfnet_l3',
 'eca_resnet33ts',
 'eca_resnext26ts',
 'eca_vovnet39b',
 'ecaresnet26t',
 'ecaresnet50d',
 'ecaresnet50d_pruned',
 'ecaresnet50t',
 'ecaresnet101d',
 'ecaresnet101d_pruned',
 'ecaresnet200d',
 'ecaresnet269d',
 'ecaresnetlight',
 'ecaresnext26t_32x4d',
 'ecaresnext50t_32x4d',
 'edgenext_base',
 'edgenext_small',
 'edgenext_small_rw',
 'edgenext_x_small',
 'edgenext_xx_small',
 'efficientformer_l1',
 'efficientformer_l3',
 'efficientformer_l7',
 'efficientnet_b0',
 'efficientnet_b0_g8_gn',
 'efficientnet_b0_g16_evos',
 'efficientnet_b0_gn',
 'efficientnet_b1',
 'efficientnet_b1_pruned',
 'efficientnet_b2',
 'efficientnet_b2_pruned',
 'efficientnet_b2a',
 'efficientnet_b3',
 'efficientnet_b3_g8_gn',
 'efficientnet_b3_gn',
 'efficientnet_b3_pruned',
 'efficientnet_b3a',
 'efficientnet_b4',
 'efficientnet_b5',
 'efficientnet_b6',
 'efficientnet_b7',
 'efficientnet_b8',
 'efficientnet_cc_b0_4e',
 'efficientnet_cc_b0_8e',
 'efficientnet_cc_b1_8e',
 'efficientnet_el',
 'efficientnet_el_pruned',
 'efficientnet_em',
 'efficientnet_es',
 'efficientnet_es_pruned',
 'efficientnet_l2',
 'efficientnet_lite0',
 'efficientnet_lite1',
 'efficientnet_lite2',
 'efficientnet_lite3',
 'efficientnet_lite4',
 'efficientnetv2_l',
 'efficientnetv2_m',
 'efficientnetv2_rw_m',
 'efficientnetv2_rw_s',
 'efficientnetv2_rw_t',
 'efficientnetv2_s',
 'efficientnetv2_xl',
 'ens_adv_inception_resnet_v2',
 'ese_vovnet19b_dw',
 'ese_vovnet19b_slim',
 'ese_vovnet19b_slim_dw',
 'ese_vovnet39b',
 'ese_vovnet39b_evos',
 'ese_vovnet57b',
 'ese_vovnet99b',
 'ese_vovnet99b_iabn',
 'fbnetc_100',
 'fbnetv3_b',
 'fbnetv3_d',
 'fbnetv3_g',
 'gc_efficientnetv2_rw_t',
 'gcresnet33ts',
 'gcresnet50t',
 'gcresnext26ts',
 'gcresnext50ts',
 'gcvit_base',
 'gcvit_small',
 'gcvit_tiny',
 'gcvit_xtiny',
 'gcvit_xxtiny',
 'gernet_l',
 'gernet_m',
 'gernet_s',
 'ghostnet_050',
 'ghostnet_100',
 'ghostnet_130',
 'gluon_inception_v3',
 'gluon_resnet18_v1b',
 'gluon_resnet34_v1b',
 'gluon_resnet50_v1b',
 'gluon_resnet50_v1c',
 'gluon_resnet50_v1d',
 'gluon_resnet50_v1s',
 'gluon_resnet101_v1b',
 'gluon_resnet101_v1c',
 'gluon_resnet101_v1d',
 'gluon_resnet101_v1s',
 'gluon_resnet152_v1b',
 'gluon_resnet152_v1c',
 'gluon_resnet152_v1d',
 'gluon_resnet152_v1s',
 'gluon_resnext50_32x4d',
 'gluon_resnext101_32x4d',
 'gluon_resnext101_64x4d',
 'gluon_senet154',
 'gluon_seresnext50_32x4d',
 'gluon_seresnext101_32x4d',
 'gluon_seresnext101_64x4d',
 'gluon_xception65',
 'gmixer_12_224',
 'gmixer_24_224',
 'gmlp_b16_224',
 'gmlp_s16_224',
 'gmlp_ti16_224',
 'halo2botnet50ts_256',
 'halonet26t',
 'halonet50ts',
 'halonet_h1',
 'haloregnetz_b',
 'hardcorenas_a',
 'hardcorenas_b',
 'hardcorenas_c',
 'hardcorenas_d',
 'hardcorenas_e',
 'hardcorenas_f',
 'hrnet_w18',
 'hrnet_w18_small',
 'hrnet_w18_small_v2',
 'hrnet_w30',
 'hrnet_w32',
 'hrnet_w40',
 'hrnet_w44',
 'hrnet_w48',
 'hrnet_w64',
 'ig_resnext101_32x8d',
 'ig_resnext101_32x16d',
 'ig_resnext101_32x32d',
 'ig_resnext101_32x48d',
 'inception_resnet_v2',
 'inception_v3',
 'inception_v4',
 'jx_nest_base',
 'jx_nest_small',
 'jx_nest_tiny',
 'lambda_resnet26rpt_256',
 'lambda_resnet26t',
 'lambda_resnet50ts',
 'lamhalobotnet50ts_256',
 'lcnet_035',
 'lcnet_050',
 'lcnet_075',
 'lcnet_100',
 'lcnet_150',
 'legacy_senet154',
 'legacy_seresnet18',
 'legacy_seresnet34',
 'legacy_seresnet50',
 'legacy_seresnet101',
 'legacy_seresnet152',
 'legacy_seresnext26_32x4d',
 'legacy_seresnext50_32x4d',
 'legacy_seresnext101_32x4d',
 'levit_128',
 'levit_128s',
 'levit_192',
 'levit_256',
 'levit_256d',
 'levit_384',
 'maxvit_base_224',
 'maxvit_large_224',
 'maxvit_nano_rw_256',
 'maxvit_pico_rw_256',
 'maxvit_rmlp_nano_rw_256',
 'maxvit_rmlp_pico_rw_256',
 'maxvit_rmlp_small_rw_224',
 'maxvit_rmlp_small_rw_256',
 'maxvit_rmlp_tiny_rw_256',
 'maxvit_small_224',
 'maxvit_tiny_224',
 'maxvit_tiny_pm_256',
 'maxvit_tiny_rw_224',
 'maxvit_tiny_rw_256',
 'maxvit_xlarge_224',
 'maxxvit_rmlp_nano_rw_256',
 'maxxvit_rmlp_small_rw_256',
 'maxxvit_rmlp_tiny_rw_256',
 'mixer_b16_224',
 'mixer_b16_224_in21k',
 'mixer_b16_224_miil',
 'mixer_b16_224_miil_in21k',
 'mixer_b32_224',
 'mixer_l16_224',
 'mixer_l16_224_in21k',
 'mixer_l32_224',
 'mixer_s16_224',
 'mixer_s32_224',
 'mixnet_l',
 'mixnet_m',
 'mixnet_s',
 'mixnet_xl',
 'mixnet_xxl',
 'mnasnet_050',
 'mnasnet_075',
 'mnasnet_100',
 'mnasnet_140',
 'mnasnet_a1',
 'mnasnet_b1',
 'mnasnet_small',
 'mobilenetv2_035',
 'mobilenetv2_050',
 'mobilenetv2_075',
 'mobilenetv2_100',
 'mobilenetv2_110d',
 'mobilenetv2_120d',
 'mobilenetv2_140',
 'mobilenetv3_large_075',
 'mobilenetv3_large_100',
 'mobilenetv3_large_100_miil',
 'mobilenetv3_large_100_miil_in21k',
 'mobilenetv3_rw',
 'mobilenetv3_small_050',
 'mobilenetv3_small_075',
 'mobilenetv3_small_100',
 'mobilevit_s',
 'mobilevit_xs',
 'mobilevit_xxs',
 'mobilevitv2_050',
 'mobilevitv2_075',
 'mobilevitv2_100',
 'mobilevitv2_125',
 'mobilevitv2_150',
 'mobilevitv2_150_384_in22ft1k',
 'mobilevitv2_150_in22ft1k',
 'mobilevitv2_175',
 'mobilevitv2_175_384_in22ft1k',
 'mobilevitv2_175_in22ft1k',
 'mobilevitv2_200',
 'mobilevitv2_200_384_in22ft1k',
 'mobilevitv2_200_in22ft1k',
 'mvitv2_base',
 'mvitv2_large',
 'mvitv2_small',
 'mvitv2_small_cls',
 'mvitv2_tiny',
 'nasnetalarge',
 'nest_base',
 'nest_small',
 'nest_tiny',
 'nf_ecaresnet26',
 'nf_ecaresnet50',
 'nf_ecaresnet101',
 'nf_regnet_b0',
 'nf_regnet_b1',
 'nf_regnet_b2',
 'nf_regnet_b3',
 'nf_regnet_b4',
 'nf_regnet_b5',
 'nf_resnet26',
 'nf_resnet50',
 'nf_resnet101',
 'nf_seresnet26',
 'nf_seresnet50',
 'nf_seresnet101',
 'nfnet_f0',
 'nfnet_f1',
 'nfnet_f2',
 'nfnet_f3',
 'nfnet_f4',
 'nfnet_f5',
 'nfnet_f6',
 'nfnet_f7',
 'nfnet_l0',
 'pit_b_224',
 'pit_b_distilled_224',
 'pit_s_224',
 'pit_s_distilled_224',
 'pit_ti_224',
 'pit_ti_distilled_224',
 'pit_xs_224',
 'pit_xs_distilled_224',
 'pnasnet5large',
 'poolformer_m36',
 'poolformer_m48',
 'poolformer_s12',
 'poolformer_s24',
 'poolformer_s36',
 'pvt_v2_b0',
 'pvt_v2_b1',
 'pvt_v2_b2',
 'pvt_v2_b2_li',
 'pvt_v2_b3',
 'pvt_v2_b4',
 'pvt_v2_b5',
 'regnetv_040',
 'regnetv_064',
 '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_040s_gn',
 'regnety_064',
 'regnety_080',
 'regnety_120',
 'regnety_160',
 'regnety_320',
 'regnetz_005',
 'regnetz_040',
 'regnetz_040h',
 'regnetz_b16',
 'regnetz_b16_evos',
 'regnetz_c16',
 'regnetz_c16_evos',
 'regnetz_d8',
 'regnetz_d8_evos',
 'regnetz_d32',
 'regnetz_e8',
 'repvgg_a2',
 'repvgg_b0',
 'repvgg_b1',
 'repvgg_b1g4',
 'repvgg_b2',
 'repvgg_b2g4',
 'repvgg_b3',
 'repvgg_b3g4',
 'res2net50_14w_8s',
 'res2net50_26w_4s',
 'res2net50_26w_6s',
 'res2net50_26w_8s',
 'res2net50_48w_2s',
 'res2net101_26w_4s',
 'res2next50',
 'resmlp_12_224',
 'resmlp_12_224_dino',
 'resmlp_12_distilled_224',
 'resmlp_24_224',
 'resmlp_24_224_dino',
 'resmlp_24_distilled_224',
 'resmlp_36_224',
 'resmlp_36_distilled_224',
 'resmlp_big_24_224',
 'resmlp_big_24_224_in22ft1k',
 'resmlp_big_24_distilled_224',
 'resnest14d',
 'resnest26d',
 'resnest50d',
 'resnest50d_1s4x24d',
 'resnest50d_4s2x40d',
 'resnest101e',
 'resnest200e',
 'resnest269e',
 'resnet10t',
 'resnet14t',
 'resnet18',
 'resnet18d',
 'resnet26',
 'resnet26d',
 'resnet26t',
 'resnet32ts',
 'resnet33ts',
 'resnet34',
 'resnet34d',
 'resnet50',
 'resnet50_gn',
 'resnet50d',
 'resnet50t',
 'resnet51q',
 'resnet61q',
 'resnet101',
 'resnet101d',
 'resnet152',
 'resnet152d',
 'resnet200',
 'resnet200d',
 'resnetaa50',
 'resnetaa50d',
 'resnetaa101d',
 'resnetblur18',
 'resnetblur50',
 'resnetblur50d',
 'resnetblur101d',
 'resnetrs50',
 'resnetrs101',
 'resnetrs152',
 'resnetrs200',
 'resnetrs270',
 'resnetrs350',
 'resnetrs420',
 'resnetv2_50',
 'resnetv2_50d',
 'resnetv2_50d_evob',
 'resnetv2_50d_evos',
 'resnetv2_50d_frn',
 'resnetv2_50d_gn',
 'resnetv2_50t',
 'resnetv2_50x1_bit_distilled',
 'resnetv2_50x1_bitm',
 'resnetv2_50x1_bitm_in21k',
 'resnetv2_50x3_bitm',
 'resnetv2_50x3_bitm_in21k',
 'resnetv2_101',
 'resnetv2_101d',
 'resnetv2_101x1_bitm',
 'resnetv2_101x1_bitm_in21k',
 'resnetv2_101x3_bitm',
 'resnetv2_101x3_bitm_in21k',
 'resnetv2_152',
 'resnetv2_152d',
 'resnetv2_152x2_bit_teacher',
 'resnetv2_152x2_bit_teacher_384',
 'resnetv2_152x2_bitm',
 'resnetv2_152x2_bitm_in21k',
 'resnetv2_152x4_bitm',
 'resnetv2_152x4_bitm_in21k',
 'resnext26ts',
 'resnext50_32x4d',
 'resnext50d_32x4d',
 'resnext101_32x4d',
 'resnext101_32x8d',
 'resnext101_64x4d',
 'rexnet_100',
 'rexnet_130',
 'rexnet_150',
 'rexnet_200',
 'rexnetr_100',
 'rexnetr_130',
 'rexnetr_150',
 'rexnetr_200',
 'sebotnet33ts_256',
 'sedarknet21',
 'sehalonet33ts',
 'selecsls42',
 'selecsls42b',
 'selecsls60',
 'selecsls60b',
 'selecsls84',
 'semnasnet_050',
 'semnasnet_075',
 'semnasnet_100',
 'semnasnet_140',
 'semobilevit_s',
 'senet154',
 'sequencer2d_l',
 'sequencer2d_m',
 'sequencer2d_s',
 'seresnet18',
 'seresnet33ts',
 'seresnet34',
 'seresnet50',
 'seresnet50t',
 'seresnet101',
 'seresnet152',
 'seresnet152d',
 'seresnet200d',
 'seresnet269d',
 'seresnetaa50d',
 'seresnext26d_32x4d',
 'seresnext26t_32x4d',
 'seresnext26tn_32x4d',
 'seresnext26ts',
 'seresnext50_32x4d',
 'seresnext101_32x4d',
 'seresnext101_32x8d',
 'seresnext101d_32x8d',
 'seresnextaa101d_32x8d',
 'skresnet18',
 'skresnet34',
 'skresnet50',
 'skresnet50d',
 'skresnext50_32x4d',
 'spnasnet_100',
 'ssl_resnet18',
 'ssl_resnet50',
 'ssl_resnext50_32x4d',
 'ssl_resnext101_32x4d',
 'ssl_resnext101_32x8d',
 'ssl_resnext101_32x16d',
 'swin_base_patch4_window7_224',
 'swin_base_patch4_window7_224_in22k',
 'swin_base_patch4_window12_384',
 'swin_base_patch4_window12_384_in22k',
 'swin_large_patch4_window7_224',
 'swin_large_patch4_window7_224_in22k',
 'swin_large_patch4_window12_384',
 'swin_large_patch4_window12_384_in22k',
 'swin_s3_base_224',
 'swin_s3_small_224',
 'swin_s3_tiny_224',
 'swin_small_patch4_window7_224',
 'swin_tiny_patch4_window7_224',
 'swinv2_base_window8_256',
 'swinv2_base_window12_192_22k',
 'swinv2_base_window12to16_192to256_22kft1k',
 'swinv2_base_window12to24_192to384_22kft1k',
 'swinv2_base_window16_256',
 'swinv2_cr_base_224',
 'swinv2_cr_base_384',
 'swinv2_cr_base_ns_224',
 'swinv2_cr_giant_224',
 'swinv2_cr_giant_384',
 'swinv2_cr_huge_224',
 'swinv2_cr_huge_384',
 'swinv2_cr_large_224',
 'swinv2_cr_large_384',
 'swinv2_cr_small_224',
 'swinv2_cr_small_384',
 'swinv2_cr_small_ns_224',
 'swinv2_cr_tiny_224',
 'swinv2_cr_tiny_384',
 'swinv2_cr_tiny_ns_224',
 'swinv2_large_window12_192_22k',
 'swinv2_large_window12to16_192to256_22kft1k',
 'swinv2_large_window12to24_192to384_22kft1k',
 'swinv2_small_window8_256',
 'swinv2_small_window16_256',
 'swinv2_tiny_window8_256',
 'swinv2_tiny_window16_256',
 'swsl_resnet18',
 'swsl_resnet50',
 'swsl_resnext50_32x4d',
 'swsl_resnext101_32x4d',
 'swsl_resnext101_32x8d',
 'swsl_resnext101_32x16d',
 'tf_efficientnet_b0',
 'tf_efficientnet_b0_ap',
 'tf_efficientnet_b0_ns',
 'tf_efficientnet_b1',
 'tf_efficientnet_b1_ap',
 'tf_efficientnet_b1_ns',
 'tf_efficientnet_b2',
 'tf_efficientnet_b2_ap',
 'tf_efficientnet_b2_ns',
 'tf_efficientnet_b3',
 'tf_efficientnet_b3_ap',
 'tf_efficientnet_b3_ns',
 'tf_efficientnet_b4',
 'tf_efficientnet_b4_ap',
 'tf_efficientnet_b4_ns',
 'tf_efficientnet_b5',
 'tf_efficientnet_b5_ap',
 'tf_efficientnet_b5_ns',
 'tf_efficientnet_b6',
 'tf_efficientnet_b6_ap',
 'tf_efficientnet_b6_ns',
 'tf_efficientnet_b7',
 'tf_efficientnet_b7_ap',
 'tf_efficientnet_b7_ns',
 'tf_efficientnet_b8',
 'tf_efficientnet_b8_ap',
 'tf_efficientnet_cc_b0_4e',
 'tf_efficientnet_cc_b0_8e',
 'tf_efficientnet_cc_b1_8e',
 'tf_efficientnet_el',
 'tf_efficientnet_em',
 'tf_efficientnet_es',
 'tf_efficientnet_l2_ns',
 'tf_efficientnet_l2_ns_475',
 'tf_efficientnet_lite0',
 'tf_efficientnet_lite1',
 'tf_efficientnet_lite2',
 'tf_efficientnet_lite3',
 'tf_efficientnet_lite4',
 'tf_efficientnetv2_b0',
 'tf_efficientnetv2_b1',
 'tf_efficientnetv2_b2',
 'tf_efficientnetv2_b3',
 'tf_efficientnetv2_l',
 'tf_efficientnetv2_l_in21ft1k',
 'tf_efficientnetv2_l_in21k',
 'tf_efficientnetv2_m',
 'tf_efficientnetv2_m_in21ft1k',
 'tf_efficientnetv2_m_in21k',
 'tf_efficientnetv2_s',
 'tf_efficientnetv2_s_in21ft1k',
 'tf_efficientnetv2_s_in21k',
 'tf_efficientnetv2_xl_in21ft1k',
 'tf_efficientnetv2_xl_in21k',
 'tf_inception_v3',
 'tf_mixnet_l',
 'tf_mixnet_m',
 'tf_mixnet_s',
 'tf_mobilenetv3_large_075',
 'tf_mobilenetv3_large_100',
 'tf_mobilenetv3_large_minimal_100',
 'tf_mobilenetv3_small_075',
 'tf_mobilenetv3_small_100',
 'tf_mobilenetv3_small_minimal_100',
 'tinynet_a',
 'tinynet_b',
 'tinynet_c',
 'tinynet_d',
 'tinynet_e',
 'tnt_b_patch16_224',
 'tnt_s_patch16_224',
 'tresnet_l',
 'tresnet_l_448',
 'tresnet_m',
 'tresnet_m_448',
 'tresnet_m_miil_in21k',
 'tresnet_v2_l',
 'tresnet_xl',
 'tresnet_xl_448',
 'tv_densenet121',
 'tv_resnet34',
 'tv_resnet50',
 'tv_resnet101',
 'tv_resnet152',
 'tv_resnext50_32x4d',
 'twins_pcpvt_base',
 'twins_pcpvt_large',
 'twins_pcpvt_small',
 'twins_svt_base',
 'twins_svt_large',
 'twins_svt_small',
 'vgg11',
 'vgg11_bn',
 'vgg13',
 'vgg13_bn',
 'vgg16',
 'vgg16_bn',
 'vgg19',
 'vgg19_bn',
 'visformer_small',
 'visformer_tiny',
 'vit_base_patch8_224',
 'vit_base_patch8_224_dino',
 'vit_base_patch8_224_in21k',
 'vit_base_patch16_18x2_224',
 'vit_base_patch16_224',
 'vit_base_patch16_224_dino',
 'vit_base_patch16_224_in21k',
 'vit_base_patch16_224_miil',
 'vit_base_patch16_224_miil_in21k',
 'vit_base_patch16_224_sam',
 'vit_base_patch16_384',
 'vit_base_patch16_plus_240',
 'vit_base_patch16_rpn_224',
 'vit_base_patch32_224',
 'vit_base_patch32_224_clip_laion2b',
 'vit_base_patch32_224_in21k',
 'vit_base_patch32_224_sam',
 'vit_base_patch32_384',
 'vit_base_patch32_plus_256',
 'vit_base_r26_s32_224',
 'vit_base_r50_s16_224',
 'vit_base_r50_s16_224_in21k',
 'vit_base_r50_s16_384',
 'vit_base_resnet26d_224',
 'vit_base_resnet50_224_in21k',
 'vit_base_resnet50_384',
 'vit_base_resnet50d_224',
 'vit_giant_patch14_224',
 'vit_giant_patch14_224_clip_laion2b',
 'vit_gigantic_patch14_224',
 'vit_huge_patch14_224',
 'vit_huge_patch14_224_clip_laion2b',
 'vit_huge_patch14_224_in21k',
 'vit_large_patch14_224',
 'vit_large_patch14_224_clip_laion2b',
 'vit_large_patch16_224',
 'vit_large_patch16_224_in21k',
 'vit_large_patch16_384',
 'vit_large_patch32_224',
 'vit_large_patch32_224_in21k',
 'vit_large_patch32_384',
 'vit_large_r50_s32_224',
 'vit_large_r50_s32_224_in21k',
 'vit_large_r50_s32_384',
 'vit_relpos_base_patch16_224',
 'vit_relpos_base_patch16_cls_224',
 'vit_relpos_base_patch16_clsgap_224',
 'vit_relpos_base_patch16_plus_240',
 'vit_relpos_base_patch16_rpn_224',
 'vit_relpos_base_patch32_plus_rpn_256',
 'vit_relpos_medium_patch16_224',
 'vit_relpos_medium_patch16_cls_224',
 'vit_relpos_medium_patch16_rpn_224',
 'vit_relpos_small_patch16_224',
 'vit_relpos_small_patch16_rpn_224',
 'vit_small_patch8_224_dino',
 'vit_small_patch16_18x2_224',
 'vit_small_patch16_36x1_224',
 'vit_small_patch16_224',
 'vit_small_patch16_224_dino',
 'vit_small_patch16_224_in21k',
 'vit_small_patch16_384',
 'vit_small_patch32_224',
 'vit_small_patch32_224_in21k',
 'vit_small_patch32_384',
 'vit_small_r26_s32_224',
 'vit_small_r26_s32_224_in21k',
 'vit_small_r26_s32_384',
 'vit_small_resnet26d_224',
 'vit_small_resnet50d_s16_224',
 'vit_srelpos_medium_patch16_224',
 'vit_srelpos_small_patch16_224',
 'vit_tiny_patch16_224',
 'vit_tiny_patch16_224_in21k',
 'vit_tiny_patch16_384',
 'vit_tiny_r_s16_p8_224',
 'vit_tiny_r_s16_p8_224_in21k',
 'vit_tiny_r_s16_p8_384',
 'volo_d1_224',
 'volo_d1_384',
 'volo_d2_224',
 'volo_d2_384',
 'volo_d3_224',
 'volo_d3_448',
 'volo_d4_224',
 'volo_d4_448',
 'volo_d5_224',
 'volo_d5_448',
 'volo_d5_512',
 'vovnet39a',
 'vovnet57a',
 'wide_resnet50_2',
 'wide_resnet101_2',
 'xception',
 'xception41',
 'xception41p',
 'xception65',
 'xception65p',
 'xception71',
 'xcit_large_24_p8_224',
 'xcit_large_24_p8_224_dist',
 'xcit_large_24_p8_384_dist',
 'xcit_large_24_p16_224',
 'xcit_large_24_p16_224_dist',
 'xcit_large_24_p16_384_dist',
 'xcit_medium_24_p8_224',
 'xcit_medium_24_p8_224_dist',
 'xcit_medium_24_p8_384_dist',
 'xcit_medium_24_p16_224',
 'xcit_medium_24_p16_224_dist',
 'xcit_medium_24_p16_384_dist',
 'xcit_nano_12_p8_224',
 'xcit_nano_12_p8_224_dist',
 'xcit_nano_12_p8_384_dist',
 'xcit_nano_12_p16_224',
 'xcit_nano_12_p16_224_dist',
 'xcit_nano_12_p16_384_dist',
 'xcit_small_12_p8_224',
 'xcit_small_12_p8_224_dist',
 'xcit_small_12_p8_384_dist',
 'xcit_small_12_p16_224',
 'xcit_small_12_p16_224_dist',
 'xcit_small_12_p16_384_dist',
 'xcit_small_24_p8_224',
 'xcit_small_24_p8_224_dist',
 'xcit_small_24_p8_384_dist',
 'xcit_small_24_p16_224',
 'xcit_small_24_p16_224_dist',
 'xcit_small_24_p16_384_dist',
 'xcit_tiny_12_p8_224',
 'xcit_tiny_12_p8_224_dist',
 'xcit_tiny_12_p8_384_dist',
 'xcit_tiny_12_p16_224',
 'xcit_tiny_12_p16_224_dist',
 'xcit_tiny_12_p16_384_dist',
 'xcit_tiny_24_p8_224',
 'xcit_tiny_24_p8_224_dist',
 'xcit_tiny_24_p8_384_dist',
 'xcit_tiny_24_p16_224',
 'xcit_tiny_24_p16_224_dist',
 'xcit_tiny_24_p16_384_dist']

你可能感兴趣的:(计算机视觉,深度学习)