├── .gitignore ├── CONTRIBUTING.md ├── LICENSE ├── MANIFEST.in ├── README.md ├── configs ├── _base_ │ ├── datasets │ │ ├── aid_bs64.py │ │ ├── bigearthnet_bs256_rgb.py │ │ ├── bigearthnet_bs256_rgb_pil_autoaug.py │ │ ├── bigearthnet_bs256_swin_224.py │ │ ├── cifar100_bs16.py │ │ ├── cifar10_bs16.py │ │ ├── cub_bs8_384.py │ │ ├── cub_bs8_448.py │ │ ├── fmow_bs256_pil_autoaug.py │ │ ├── fmow_bs256_rgb.py │ │ ├── fmow_bs256_swin_224.py │ │ ├── fmow_bs64.py │ │ ├── imagenet21k_bs128.py │ │ ├── imagenet_bs128_poolformer_medium_224.py │ │ ├── imagenet_bs128_poolformer_small_224.py │ │ ├── imagenet_bs256_rsb_a12.py │ │ ├── imagenet_bs256_rsb_a3.py │ │ ├── imagenet_bs32.py │ │ ├── imagenet_bs32_pil_bicubic.py │ │ ├── imagenet_bs32_pil_resize.py │ │ ├── imagenet_bs64.py │ │ ├── imagenet_bs64_autoaug.py │ │ ├── imagenet_bs64_convmixer_224.py │ │ ├── imagenet_bs64_mixer_224.py │ │ ├── imagenet_bs64_pil_resize.py │ │ ├── imagenet_bs64_pil_resize_autoaug.py │ │ ├── imagenet_bs64_swin_224.py │ │ ├── imagenet_bs64_swin_384.py │ │ ├── imagenet_bs64_t2t_224.py │ │ ├── pipelines │ │ │ ├── auto_aug.py │ │ │ └── rand_aug.py │ │ └── voc_bs16.py │ ├── default_runtime.py │ ├── models │ │ ├── conformer │ │ │ ├── base-p16.py │ │ │ ├── small-p16.py │ │ │ ├── small-p32.py │ │ │ └── tiny-p16.py │ │ ├── convmixer │ │ │ ├── convmixer-1024-20.py │ │ │ ├── convmixer-1536-20.py │ │ │ └── convmixer-768-32.py │ │ ├── convnext │ │ │ ├── convnext-base.py │ │ │ ├── convnext-large.py │ │ │ ├── convnext-small.py │ │ │ ├── convnext-tiny.py │ │ │ └── convnext-xlarge.py │ │ ├── densenet │ │ │ ├── densenet121.py │ │ │ ├── densenet161.py │ │ │ ├── densenet169.py │ │ │ └── densenet201.py │ │ ├── efficientnet_b0.py │ │ ├── efficientnet_b1.py │ │ ├── efficientnet_b2.py │ │ ├── efficientnet_b3.py │ │ ├── efficientnet_b4.py │ │ ├── efficientnet_b5.py │ │ ├── efficientnet_b6.py │ │ ├── efficientnet_b7.py │ │ ├── efficientnet_b8.py │ │ ├── efficientnet_em.py │ │ ├── efficientnet_es.py │ │ ├── hrnet │ │ │ ├── hrnet-w18.py │ │ │ ├── hrnet-w30.py │ │ │ ├── hrnet-w32.py │ │ │ ├── hrnet-w40.py │ │ │ ├── hrnet-w44.py │ │ │ ├── hrnet-w48.py │ │ │ └── hrnet-w64.py │ │ ├── mlp_mixer_base_patch16.py │ │ ├── mlp_mixer_large_patch16.py │ │ ├── mobilenet_v2_1x.py │ │ ├── mobilenet_v3_large_imagenet.py │ │ ├── mobilenet_v3_small_cifar.py │ │ ├── mobilenet_v3_small_imagenet.py │ │ ├── poolformer │ │ │ ├── poolformer_m36.py │ │ │ ├── poolformer_m48.py │ │ │ ├── poolformer_s12.py │ │ │ ├── poolformer_s24.py │ │ │ └── poolformer_s36.py │ │ ├── regnet │ │ │ ├── regnetx_1.6gf.py │ │ │ ├── regnetx_12gf.py │ │ │ ├── regnetx_3.2gf.py │ │ │ ├── regnetx_4.0gf.py │ │ │ ├── regnetx_400mf.py │ │ │ ├── regnetx_6.4gf.py │ │ │ ├── regnetx_8.0gf.py │ │ │ └── regnetx_800mf.py │ │ ├── repmlp-base_224.py │ │ ├── repvgg-A0_in1k.py │ │ ├── repvgg-B3_lbs-mixup_in1k.py │ │ ├── res2net101-w26-s4.py │ │ ├── res2net50-w14-s8.py │ │ ├── res2net50-w26-s4.py │ │ ├── res2net50-w26-s6.py │ │ ├── res2net50-w26-s8.py │ │ ├── res2net50-w48-s2.py │ │ ├── resnest101.py │ │ ├── resnest200.py │ │ ├── resnest269.py │ │ ├── resnest50.py │ │ ├── resnet101.py │ │ ├── resnet101_cifar.py │ │ ├── resnet152.py │ │ ├── resnet152_cifar.py │ │ ├── resnet18.py │ │ ├── resnet18_aid.py │ │ ├── resnet18_cifar.py │ │ ├── resnet34.py │ │ ├── resnet34_cifar.py │ │ ├── resnet34_gem.py │ │ ├── resnet50.py │ │ ├── resnet50_aid.py │ │ ├── resnet50_cifar.py │ │ ├── resnet50_cifar_cutmix.py │ │ ├── resnet50_cifar_mixup.py │ │ ├── resnet50_cutmix.py │ │ ├── resnet50_fmow.py │ │ ├── resnet50_label_smooth.py │ │ ├── resnet50_mixup.py │ │ ├── resnetv1c50.py │ │ ├── resnetv1d101.py │ │ ├── resnetv1d152.py │ │ ├── resnetv1d50.py │ │ ├── resnext101_32x4d.py │ │ ├── resnext101_32x8d.py │ │ ├── resnext152_32x4d.py │ │ ├── resnext50_32x4d.py │ │ ├── seresnet101.py │ │ ├── seresnet50.py │ │ ├── seresnext101_32x4d.py │ │ ├── seresnext50_32x4d.py │ │ ├── shufflenet_v1_1x.py │ │ ├── shufflenet_v2_1x.py │ │ ├── swin_transformer │ │ │ ├── base_224.py │ │ │ ├── base_384.py │ │ │ ├── large_224.py │ │ │ ├── large_384.py │ │ │ ├── small_224.py │ │ │ └── tiny_224.py │ │ ├── t2t-vit-t-14.py │ │ ├── t2t-vit-t-19.py │ │ ├── t2t-vit-t-24.py │ │ ├── tnt_s_patch16_224.py │ │ ├── twins_pcpvt_base.py │ │ ├── twins_svt_base.py │ │ ├── van │ │ │ ├── van_base.py │ │ │ ├── van_large.py │ │ │ ├── van_small.py │ │ │ └── van_tiny.py │ │ ├── vgg11.py │ │ ├── vgg11bn.py │ │ ├── vgg13.py │ │ ├── vgg13bn.py │ │ ├── vgg16.py │ │ ├── vgg16bn.py │ │ ├── vgg19.py │ │ ├── vgg19bn.py │ │ ├── vit-base-p16.py │ │ ├── vit-base-p32.py │ │ ├── vit-large-p16.py │ │ ├── vit-large-p32.py │ │ └── wide-resnet50.py │ └── schedules │ │ ├── aid_bs64_Adam.py │ │ ├── aid_bs64_SGD.py │ │ ├── bigearthnet_bs1024_adamw_swin.py │ │ ├── bigearthnet_bs1024_rgb.py │ │ ├── cub_bs64.py │ │ ├── imagenet_bs1024_adamw_conformer.py │ │ ├── imagenet_bs1024_adamw_swin.py │ │ ├── imagenet_bs1024_coslr.py │ │ ├── imagenet_bs1024_linearlr_bn_nowd.py │ │ ├── imagenet_bs2048.py │ │ ├── imagenet_bs2048_AdamW.py │ │ ├── imagenet_bs2048_coslr.py │ │ ├── imagenet_bs2048_rsb.py │ │ ├── imagenet_bs256.py │ │ ├── imagenet_bs256_140e.py │ │ ├── imagenet_bs256_200e_coslr_warmup.py │ │ ├── imagenet_bs256_coslr.py │ │ ├── imagenet_bs256_epochstep.py │ │ └── imagenet_bs4096_AdamW.py ├── conformer │ ├── README.md │ ├── conformer-base-p16_8xb128_in1k.py │ ├── conformer-small-p16_8xb128_in1k.py │ ├── conformer-small-p32_8xb128_in1k.py │ ├── conformer-tiny-p16_8xb128_in1k.py │ └── metafile.yml ├── convmixer │ ├── README.md │ ├── convmixer-1024-20_10xb64_in1k.py │ ├── convmixer-1536-20_10xb64_in1k.py │ ├── convmixer-768-32_10xb64_in1k.py │ └── metafile.yml ├── convnext │ ├── README.md │ ├── convnext-base_32xb128_in1k.py │ ├── convnext-large_64xb64_in1k.py │ ├── convnext-small_32xb128_in1k.py │ ├── convnext-tiny_32xb128_in1k.py │ ├── convnext-tiny_4xb256_bigearthnet_rgb.py │ ├── convnext-tiny_4xb256_fmow_rgb.py │ ├── convnext-xlarge_64xb64_in1k.py │ └── metafile.yml ├── cspnet │ ├── README.md │ ├── cspdarknet50_8xb32_in1k.py │ ├── cspresnet50_8xb32_in1k.py │ ├── cspresnext50_8xb32_in1k.py │ └── metafile.yml ├── deit │ ├── README.md │ ├── deit-base-distilled_ft-16xb32_in1k-384px.py │ ├── deit-base-distilled_pt-16xb64_in1k.py │ ├── deit-base_ft-16xb32_in1k-384px.py │ ├── deit-base_pt-16xb64_in1k.py │ ├── deit-small-distilled_pt-4xb256_in1k.py │ ├── deit-small_pt-4xb256_in1k.py │ ├── deit-tiny-distilled_pt-4xb256_in1k.py │ ├── deit-tiny_pt-4xb256_in1k.py │ └── metafile.yml ├── densenet │ ├── README.md │ ├── densenet121_4xb256_in1k.py │ ├── densenet161_4xb256_in1k.py │ ├── densenet169_4xb256_in1k.py │ ├── densenet201_4xb256_in1k.py │ └── metafile.yml ├── efficientnet │ ├── README.md │ ├── efficientnet-b0_8xb32-01norm_in1k.py │ ├── efficientnet-b0_8xb32_in1k.py │ ├── efficientnet-b1_8xb32-01norm_in1k.py │ ├── efficientnet-b1_8xb32_in1k.py │ ├── efficientnet-b2_8xb32-01norm_in1k.py │ ├── efficientnet-b2_8xb32_in1k.py │ ├── efficientnet-b3_8xb32-01norm_in1k.py │ ├── efficientnet-b3_8xb32_in1k.py │ ├── efficientnet-b4_4xb256_bigearthnet_rgb.py │ ├── efficientnet-b4_4xb256_fmow_rgb.py │ ├── efficientnet-b4_8xb32-01norm_in1k.py │ ├── efficientnet-b4_8xb32_in1k.py │ ├── efficientnet-b5_8xb32-01norm_in1k.py │ ├── efficientnet-b5_8xb32_in1k.py │ ├── efficientnet-b6_8xb32-01norm_in1k.py │ ├── efficientnet-b6_8xb32_in1k.py │ ├── efficientnet-b7_8xb32-01norm_in1k.py │ ├── efficientnet-b7_8xb32_in1k.py │ ├── efficientnet-b8_8xb32-01norm_in1k.py │ ├── efficientnet-b8_8xb32_in1k.py │ ├── efficientnet-em_8xb32-01norm_in1k.py │ ├── efficientnet-es_8xb32-01norm_in1k.py │ └── metafile.yml ├── fmow │ └── resnet50_b64_100e_fmow.py ├── fp16 │ ├── resnet50_b32x8_fp16_dynamic_imagenet.py │ └── resnet50_b32x8_fp16_imagenet.py ├── hrnet │ ├── README.md │ ├── hrnet-w18_4xb32_in1k.py │ ├── hrnet-w30_4xb32_in1k.py │ ├── hrnet-w32_4xb32_in1k.py │ ├── hrnet-w40_4xb32_in1k.py │ ├── hrnet-w44_4xb32_in1k.py │ ├── hrnet-w48_4xb32_in1k.py │ ├── hrnet-w64_4xb32_in1k.py │ └── metafile.yml ├── lenet │ ├── README.md │ └── lenet5_mnist.py ├── mlp_mixer │ ├── README.md │ ├── metafile.yml │ ├── mlp-mixer-base-p16_64xb64_in1k.py │ ├── mlp-mixer-large-p16_64xb64_in1k.py │ ├── mlp-mixer-small-p16_4xb256_bigearthnet.py │ └── mlp-mixer-small-p16_4xb256_fmow.py ├── mobilenet_v2 │ ├── README.md │ ├── metafile.yml │ ├── mobilenet-v2_8xb32_in1k.py │ └── mobilenet_v2_b32x8_imagenet.py ├── mobilenet_v3 │ ├── README.md │ ├── metafile.yml │ ├── mobilenet-v3-large_8xb32_in1k.py │ ├── mobilenet-v3-small_8xb16_cifar10.py │ ├── mobilenet-v3-small_8xb32_in1k.py │ ├── mobilenet_v3_large_imagenet.py │ ├── mobilenet_v3_small_cifar.py │ └── mobilenet_v3_small_imagenet.py ├── poolformer │ ├── README.md │ ├── metafile.yml │ ├── poolformer-m36_32xb128_in1k.py │ ├── poolformer-m48_32xb128_in1k.py │ ├── poolformer-s12_32xb128_in1k.py │ ├── poolformer-s24_32xb128_in1k.py │ └── poolformer-s36_32xb128_in1k.py ├── regnet │ ├── README.md │ ├── metafile.yml │ ├── regnetx-1.6gf_8xb128_in1k.py │ ├── regnetx-12gf_8xb64_in1k.py │ ├── regnetx-3.2gf_8xb64_in1k.py │ ├── regnetx-4.0gf_8xb64_in1k.py │ ├── regnetx-400mf_8xb128_in1k.py │ ├── regnetx-6.4gf_8xb64_in1k.py │ ├── regnetx-8.0gf_8xb64_in1k.py │ └── regnetx-800mf_8xb128_in1k.py ├── repmlp │ ├── README.md │ ├── metafile.yml │ ├── repmlp-base_8xb64_in1k-256px.py │ ├── repmlp-base_8xb64_in1k.py │ ├── repmlp-base_delopy_8xb64_in1k.py │ └── repmlp-base_deploy_8xb64_in1k-256px.py ├── repvgg │ ├── README.md │ ├── deploy │ │ ├── repvgg-A0_deploy_4xb64-coslr-120e_in1k.py │ │ ├── repvgg-A1_deploy_4xb64-coslr-120e_in1k.py │ │ ├── repvgg-A2_deploy_4xb64-coslr-120e_in1k.py │ │ ├── repvgg-B0_deploy_4xb64-coslr-120e_in1k.py │ │ ├── repvgg-B1_deploy_4xb64-coslr-120e_in1k.py │ │ ├── repvgg-B1g2_deploy_4xb64-coslr-120e_in1k.py │ │ ├── repvgg-B1g4_deploy_4xb64-coslr-120e_in1k.py │ │ ├── repvgg-B2_deploy_4xb64-coslr-120e_in1k.py │ │ ├── repvgg-B2g4_deploy_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py │ │ ├── repvgg-B3_deploy_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py │ │ ├── repvgg-B3g4_deploy_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py │ │ └── repvgg-D2se_deploy_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py │ ├── metafile.yml │ ├── repvgg-A0_4xb64-coslr-120e_in1k.py │ ├── repvgg-A1_4xb64-coslr-120e_in1k.py │ ├── repvgg-A2_4xb64-coslr-120e_in1k.py │ ├── repvgg-B0_4xb64-coslr-120e_in1k.py │ ├── repvgg-B1_4xb64-coslr-120e_in1k.py │ ├── repvgg-B1g2_4xb64-coslr-120e_in1k.py │ ├── repvgg-B1g4_4xb64-coslr-120e_in1k.py │ ├── repvgg-B2_4xb64-coslr-120e_in1k.py │ ├── repvgg-B2g4_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py │ ├── repvgg-B3_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py │ ├── repvgg-B3g4_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py │ └── repvgg-D2se_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py ├── res2net │ ├── README.md │ ├── metafile.yml │ ├── res2net101-w26-s4_8xb32_in1k.py │ ├── res2net50-w14-s8_8xb32_in1k.py │ └── res2net50-w26-s8_8xb32_in1k.py ├── resnest │ ├── README.md │ ├── resnest101_32xb64_in1k.py │ ├── resnest101_b64x32_imagenet.py │ ├── resnest200_64xb32_in1k.py │ ├── resnest200_b32x64_imagenet.py │ ├── resnest269_64xb32_in1k.py │ ├── resnest269_b32x64_imagenet.py │ ├── resnest50_32xb64_in1k.py │ └── resnest50_b64x32_imagenet.py ├── resnet │ ├── README.md │ ├── metafile.yml │ ├── resnet101_8xb16_cifar10.py │ ├── resnet101_8xb32_in1k.py │ ├── resnet101_b16x8_cifar10.py │ ├── resnet101_b32x8_imagenet.py │ ├── resnet152_8xb16_cifar10.py │ ├── resnet152_8xb32_in1k.py │ ├── resnet152_b16x8_cifar10.py │ ├── resnet152_b32x8_imagenet.py │ ├── resnet18_1xb64_aid.py │ ├── resnet18_1xb64_aid_adam.py │ ├── resnet18_8xb16_cifar10.py │ ├── resnet18_8xb32_in1k.py │ ├── resnet18_b16x8_cifar10.py │ ├── resnet18_b32x8_imagenet.py │ ├── resnet34_8xb16_cifar10.py │ ├── resnet34_8xb32_in1k.py │ ├── resnet34_b16x8_cifar10.py │ ├── resnet34_b32x8_imagenet.py │ ├── resnet50_1xb64_aid.py │ ├── resnet50_32xb64-warmup-coslr_in1k.py │ ├── resnet50_32xb64-warmup-lbs_in1k.py │ ├── resnet50_32xb64-warmup_in1k.py │ ├── resnet50_4xb256_bigearthnet_rgb.py │ ├── resnet50_4xb256_fmow_rgb.py │ ├── resnet50_8xb128_coslr-90e_in21k.py │ ├── resnet50_8xb16-mixup_cifar10.py │ ├── resnet50_8xb16_cifar10.py │ ├── resnet50_8xb16_cifar100.py │ ├── resnet50_8xb256-rsb-a1-600e_in1k.py │ ├── resnet50_8xb256-rsb-a2-300e_in1k.py │ ├── resnet50_8xb256-rsb-a3-100e_in1k.py │ ├── resnet50_8xb32-coslr-preciseBN_in1k.py │ ├── resnet50_8xb32-coslr_in1k.py │ ├── resnet50_8xb32-cutmix_in1k.py │ ├── resnet50_8xb32-fp16-dynamic_in1k.py │ ├── resnet50_8xb32-fp16_in1k.py │ ├── resnet50_8xb32-lbs_in1k.py │ ├── resnet50_8xb32-mixup_in1k.py │ ├── resnet50_8xb32_in1k.py │ ├── resnet50_8xb8_cub.py │ ├── resnet50_b16x8_cifar10.py │ ├── resnet50_b16x8_cifar100.py │ ├── resnet50_b16x8_cifar10_mixup.py │ ├── resnet50_b32x8_coslr_imagenet.py │ ├── resnet50_b32x8_cutmix_imagenet.py │ ├── resnet50_b32x8_imagenet.py │ ├── resnet50_b32x8_label_smooth_imagenet.py │ ├── resnet50_b32x8_mixup_imagenet.py │ ├── resnet50_b64x32_warmup_coslr_imagenet.py │ ├── resnet50_b64x32_warmup_imagenet.py │ ├── resnet50_b64x32_warmup_label_smooth_imagenet.py │ ├── resnetv1c101_8xb32_in1k.py │ ├── resnetv1c152_8xb32_in1k.py │ ├── resnetv1c50_8xb32_in1k.py │ ├── resnetv1d101_8xb32_in1k.py │ ├── resnetv1d101_b32x8_imagenet.py │ ├── resnetv1d152_8xb32_in1k.py │ ├── resnetv1d152_b32x8_imagenet.py │ ├── resnetv1d50_8xb32_in1k.py │ └── resnetv1d50_b32x8_imagenet.py ├── resnext │ ├── README.md │ ├── metafile.yml │ ├── resnext101-32x4d_8xb32_in1k.py │ ├── resnext101-32x8d_8xb32_in1k.py │ ├── resnext101_32x4d_b32x8_imagenet.py │ ├── resnext101_32x8d_b32x8_imagenet.py │ ├── resnext152-32x4d_8xb32_in1k.py │ ├── resnext152_32x4d_b32x8_imagenet.py │ ├── resnext50-32x4d_8xb32_in1k.py │ └── resnext50_32x4d_b32x8_imagenet.py ├── seresnet │ ├── README.md │ ├── metafile.yml │ ├── seresnet101_8xb32_in1k.py │ ├── seresnet101_b32x8_imagenet.py │ ├── seresnet50_8xb32_in1k.py │ ├── seresnet50_b32x8_imagenet.py │ ├── seresnext101-32x4d_8xb32_in1k.py │ ├── seresnext101_32x4d_b32x8_imagenet.py │ ├── seresnext50-32x4d_8xb32_in1k.py │ └── seresnext50_32x4d_b32x8_imagenet.py ├── shufflenet_v1 │ ├── README.md │ ├── metafile.yml │ ├── shufflenet-v1-1x_16xb64_in1k.py │ └── shufflenet_v1_1x_b64x16_linearlr_bn_nowd_imagenet.py ├── shufflenet_v2 │ ├── README.md │ ├── metafile.yml │ ├── shufflenet-v2-1x_16xb64_in1k.py │ └── shufflenet_v2_1x_b64x16_linearlr_bn_nowd_imagenet.py ├── swin_transformer │ ├── README.md │ ├── metafile.yml │ ├── swin-base_16xb64_in1k-384px.py │ ├── swin-base_16xb64_in1k.py │ ├── swin-large_16xb64_in1k-384px.py │ ├── swin-large_16xb64_in1k.py │ ├── swin-large_8xb8_cub_384px.py │ ├── swin-small_16xb64_in1k.py │ ├── swin-tiny_16xb64_in1k.py │ ├── swin-tiny_4xb256_bigearthnet.py │ ├── swin-tiny_4xb256_fmow.py │ ├── swin_base_224_b16x64_300e_imagenet.py │ ├── swin_base_384_evalonly_imagenet.py │ ├── swin_large_224_evalonly_imagenet.py │ ├── swin_large_384_evalonly_imagenet.py │ ├── swin_small_224_b16x64_300e_imagenet.py │ └── swin_tiny_224_b16x64_300e_imagenet.py ├── t2t_vit │ ├── README.md │ ├── metafile.yml │ ├── t2t-vit-t-14_8xb64_in1k.py │ ├── t2t-vit-t-19_8xb64_in1k.py │ └── t2t-vit-t-24_8xb64_in1k.py ├── tnt │ ├── README.md │ ├── metafile.yml │ ├── tnt-s-p16_16xb64_in1k.py │ └── tnt_s_patch16_224_evalonly_imagenet.py ├── twins │ ├── README.md │ ├── metafile.yml │ ├── twins-pcpvt-base_8xb128_in1k.py │ ├── twins-pcpvt-large_16xb64_in1k.py │ ├── twins-pcpvt-small_8xb128_in1k.py │ ├── twins-svt-base_8xb128_in1k.py │ ├── twins-svt-large_16xb64_in1k.py │ └── twins-svt-small_8xb128_in1k.py ├── van │ ├── README.md │ ├── metafile.yml │ ├── van-base_8xb128_in1k.py │ ├── van-large_8xb128_in1k.py │ ├── van-small_8xb128_in1k.py │ └── van-tiny_8xb128_in1k.py ├── vgg │ ├── README.md │ ├── metafile.yml │ ├── vgg11_8xb32_in1k.py │ ├── vgg11_b32x8_imagenet.py │ ├── vgg11bn_8xb32_in1k.py │ ├── vgg11bn_b32x8_imagenet.py │ ├── vgg13_8xb32_in1k.py │ ├── vgg13_b32x8_imagenet.py │ ├── vgg13bn_8xb32_in1k.py │ ├── vgg13bn_b32x8_imagenet.py │ ├── vgg16_8xb16_voc.py │ ├── vgg16_8xb32_in1k.py │ ├── vgg16_b16x8_voc.py │ ├── vgg16_b32x8_imagenet.py │ ├── vgg16bn_8xb32_in1k.py │ ├── vgg16bn_b32x8_imagenet.py │ ├── vgg19_8xb32_in1k.py │ ├── vgg19_b32x8_imagenet.py │ ├── vgg19bn_8xb32_in1k.py │ └── vgg19bn_b32x8_imagenet.py ├── vision_transformer │ ├── README.md │ ├── metafile.yml │ ├── vit-base-p16_ft-4xb544-ipu_in1k.py │ ├── vit-base-p16_ft-64xb64_in1k-384.py │ ├── vit-base-p16_pt-64xb64_in1k-224.py │ ├── vit-base-p32_ft-64xb64_in1k-384.py │ ├── vit-base-p32_pt-64xb64_in1k-224.py │ ├── vit-large-p16_ft-64xb64_in1k-384.py │ ├── vit-large-p16_pt-64xb64_in1k-224.py │ ├── vit-large-p32_ft-64xb64_in1k-384.py │ ├── vit-large-p32_pt-64xb64_in1k-224.py │ ├── vit-small-p16_pt-4xb256_bigearthnet_rgb-224.py │ └── vit-small-p16_pt-4xb256_fmow_rgb-224.py └── wrn │ ├── README.md │ ├── metafile.yml │ ├── wide-resnet101_8xb32_in1k.py │ ├── wide-resnet50_8xb32_in1k.py │ └── wide-resnet50_timm_8xb32_in1k.py ├── demo └── rsi_classification_tutorial.ipynb ├── docker ├── Dockerfile └── serve │ ├── Dockerfile │ ├── config.properties │ └── entrypoint.sh ├── docs ├── en │ ├── Makefile │ ├── _build │ │ ├── doctrees │ │ │ ├── changelog.doctree │ │ │ ├── community │ │ │ │ └── CONTRIBUTING.doctree │ │ │ ├── compatibility.doctree │ │ │ ├── dataset_prepare.doctree │ │ │ ├── environment.pickle │ │ │ ├── faq.doctree │ │ │ ├── getting_started.doctree │ │ │ ├── index.doctree │ │ │ ├── install.doctree │ │ │ ├── model_zoo.doctree │ │ │ ├── tools │ │ │ │ ├── analysis.doctree │ │ │ │ ├── miscellaneous.doctree │ │ │ │ ├── model_serving.doctree │ │ │ │ ├── onnx2tensorrt.doctree │ │ │ │ ├── pytorch2onnx.doctree │ │ │ │ ├── pytorch2torchscript.doctree │ │ │ │ └── visualization.doctree │ │ │ └── tutorials │ │ │ │ ├── config.doctree │ │ │ │ ├── data_pipeline.doctree │ │ │ │ ├── finetune.doctree │ │ │ │ ├── new_dataset.doctree │ │ │ │ ├── new_modules.doctree │ │ │ │ ├── runtime.doctree │ │ │ │ └── schedule.doctree │ │ └── html │ │ │ ├── .buildinfo │ │ │ ├── _sources │ │ │ ├── changelog.md.txt │ │ │ ├── community │ │ │ │ └── CONTRIBUTING.md.txt │ │ │ ├── compatibility.md.txt │ │ │ ├── dataset_prepare.md.txt │ │ │ ├── faq.md.txt │ │ │ ├── getting_started.md.txt │ │ │ ├── index.rst.txt │ │ │ ├── install.md.txt │ │ │ ├── model_zoo.md.txt │ │ │ ├── tools │ │ │ │ ├── analysis.md.txt │ │ │ │ ├── miscellaneous.md.txt │ │ │ │ ├── model_serving.md.txt │ │ │ │ ├── onnx2tensorrt.md.txt │ │ │ │ ├── pytorch2onnx.md.txt │ │ │ │ ├── pytorch2torchscript.md.txt │ │ │ │ └── visualization.md.txt │ │ │ └── tutorials │ │ │ │ ├── config.md.txt │ │ │ │ ├── data_pipeline.md.txt │ │ │ │ ├── finetune.md.txt │ │ │ │ ├── new_dataset.md.txt │ │ │ │ ├── new_modules.md.txt │ │ │ │ ├── runtime.md.txt │ │ │ │ └── schedule.md.txt │ │ │ ├── _static │ │ │ ├── _sphinx_javascript_frameworks_compat.js │ │ │ ├── basic.css │ │ │ ├── check-solid.svg │ │ │ ├── clipboard.min.js │ │ │ ├── copy-button.svg │ │ │ ├── copybutton.css │ │ │ ├── copybutton.js │ │ │ ├── copybutton_funcs.js │ │ │ ├── css │ │ │ │ ├── readthedocs.css │ │ │ │ └── theme.css │ │ │ ├── doctools.js │ │ │ ├── documentation_options.js │ │ │ ├── file.png │ │ │ ├── fonts │ │ │ │ ├── FreightSans │ │ │ │ │ ├── freight-sans-bold-italic.woff │ │ │ │ │ ├── freight-sans-bold-italic.woff2 │ │ │ │ │ ├── freight-sans-bold.woff │ │ │ │ │ ├── freight-sans-bold.woff2 │ │ │ │ │ ├── freight-sans-book-italic.woff │ │ │ │ │ ├── freight-sans-book-italic.woff2 │ │ │ │ │ ├── freight-sans-book.woff │ │ │ │ │ ├── freight-sans-book.woff2 │ │ │ │ │ ├── freight-sans-light-italic.woff │ │ │ │ │ ├── freight-sans-light-italic.woff2 │ │ │ │ │ ├── freight-sans-light.woff │ │ │ │ │ ├── freight-sans-light.woff2 │ │ │ │ │ ├── freight-sans-medium-italic.woff │ │ │ │ │ ├── freight-sans-medium-italic.woff2 │ │ │ │ │ ├── freight-sans-medium.woff │ │ │ │ │ └── freight-sans-medium.woff2 │ │ │ │ └── IBMPlexMono │ │ │ │ │ ├── IBMPlexMono-Light.woff │ │ │ │ │ ├── IBMPlexMono-Light.woff2 │ │ │ │ │ ├── IBMPlexMono-Medium.woff │ │ │ │ │ ├── IBMPlexMono-Medium.woff2 │ │ │ │ │ ├── IBMPlexMono-Regular.woff │ │ │ │ │ ├── IBMPlexMono-Regular.woff2 │ │ │ │ │ ├── IBMPlexMono-SemiBold.woff │ │ │ │ │ └── IBMPlexMono-SemiBold.woff2 │ │ │ ├── image │ │ │ │ ├── mmcls-logo.png │ │ │ │ └── tools │ │ │ │ │ ├── analysis │ │ │ │ │ └── analyze_log.jpg │ │ │ │ │ └── visualization │ │ │ │ │ ├── lr_schedule1.png │ │ │ │ │ └── lr_schedule2.png │ │ │ ├── images │ │ │ │ ├── arrow-down-blue.svg │ │ │ │ ├── arrow-right-with-tail.svg │ │ │ │ ├── chevron-down-black.svg │ │ │ │ ├── chevron-down-blue.svg │ │ │ │ ├── chevron-down-grey.svg │ │ │ │ ├── chevron-down-white.svg │ │ │ │ ├── chevron-right-blue.svg │ │ │ │ ├── chevron-right-white.svg │ │ │ │ ├── favicon.ico │ │ │ │ ├── home-footer-background.jpg │ │ │ │ ├── icon-close.svg │ │ │ │ ├── icon-menu-dots-dark.svg │ │ │ │ ├── logo-dark.svg │ │ │ │ ├── logo-facebook-dark.svg │ │ │ │ ├── logo-icon.svg │ │ │ │ ├── logo-twitter-dark.svg │ │ │ │ ├── logo-youtube-dark.svg │ │ │ │ ├── logo.png │ │ │ │ ├── logo.svg │ │ │ │ ├── logo192.png │ │ │ │ ├── pytorch-colab.svg │ │ │ │ ├── pytorch-download.svg │ │ │ │ ├── pytorch-github.svg │ │ │ │ ├── pytorch-x.svg │ │ │ │ ├── search-icon.svg │ │ │ │ └── view-page-source-icon.svg │ │ │ ├── jquery-3.6.0.js │ │ │ ├── jquery.js │ │ │ ├── js │ │ │ │ ├── custom.js │ │ │ │ ├── modernizr.min.js │ │ │ │ ├── theme.js │ │ │ │ └── vendor │ │ │ │ │ ├── anchor.min.js │ │ │ │ │ ├── bootstrap.min.js │ │ │ │ │ └── popper.min.js │ │ │ ├── language_data.js │ │ │ ├── minus.png │ │ │ ├── plus.png │ │ │ ├── pygments.css │ │ │ ├── searchtools.js │ │ │ ├── underscore-1.13.1.js │ │ │ └── underscore.js │ │ │ ├── changelog.html │ │ │ ├── community │ │ │ └── CONTRIBUTING.html │ │ │ ├── compatibility.html │ │ │ ├── dataset_prepare.html │ │ │ ├── faq.html │ │ │ ├── genindex.html │ │ │ ├── getting_started.html │ │ │ ├── index.html │ │ │ ├── install.html │ │ │ ├── model_zoo.html │ │ │ ├── objects.inv │ │ │ ├── search.html │ │ │ ├── searchindex.js │ │ │ ├── tools │ │ │ ├── analysis.html │ │ │ ├── miscellaneous.html │ │ │ ├── model_serving.html │ │ │ ├── onnx2tensorrt.html │ │ │ ├── pytorch2onnx.html │ │ │ ├── pytorch2torchscript.html │ │ │ └── visualization.html │ │ │ └── tutorials │ │ │ ├── config.html │ │ │ ├── data_pipeline.html │ │ │ ├── finetune.html │ │ │ ├── new_dataset.html │ │ │ ├── new_modules.html │ │ │ ├── runtime.html │ │ │ └── schedule.html │ ├── _static │ │ ├── css │ │ │ └── readthedocs.css │ │ ├── image │ │ │ ├── mmcls-logo.png │ │ │ └── tools │ │ │ │ ├── analysis │ │ │ │ └── analyze_log.jpg │ │ │ │ └── visualization │ │ │ │ ├── lr_schedule1.png │ │ │ │ └── lr_schedule2.png │ │ └── js │ │ │ └── custom.js │ ├── _templates │ │ └── classtemplate.rst │ ├── changelog.md │ ├── community │ │ └── CONTRIBUTING.md │ ├── compatibility.md │ ├── conf.py │ ├── dataset_prepare.md │ ├── docutils.conf │ ├── faq.md │ ├── getting_started.md │ ├── index.rst │ ├── install.md │ ├── model_zoo.md │ ├── stat.py │ ├── tools │ │ ├── analysis.md │ │ ├── miscellaneous.md │ │ ├── model_serving.md │ │ ├── onnx2tensorrt.md │ │ ├── pytorch2onnx.md │ │ ├── pytorch2torchscript.md │ │ └── visualization.md │ └── tutorials │ │ ├── MMClassification_python.ipynb │ │ ├── MMClassification_tools.ipynb │ │ ├── config.md │ │ ├── data_pipeline.md │ │ ├── finetune.md │ │ ├── new_dataset.md │ │ ├── new_modules.md │ │ ├── runtime.md │ │ └── schedule.md ├── readme.md └── zh_CN │ ├── Makefile │ ├── _static │ ├── css │ │ └── readthedocs.css │ ├── image │ │ ├── mmcls-logo.png │ │ └── tools │ │ │ ├── analysis │ │ │ └── analyze_log.jpg │ │ │ └── visualization │ │ │ ├── lr_schedule1.png │ │ │ └── lr_schedule2.png │ └── js │ │ └── custom.js │ ├── api │ ├── changelog.md │ ├── community │ └── CONTRIBUTING.md │ ├── compatibility.md │ ├── conf.py │ ├── docutils.conf │ ├── faq.md │ ├── getting_started.md │ ├── imgs │ ├── qq_group_qrcode.jpg │ └── zhihu_qrcode.jpg │ ├── index.rst │ ├── install.md │ ├── model_zoo.md │ ├── stat.py │ ├── tools │ ├── analysis.md │ ├── miscellaneous.md │ ├── model_serving.md │ ├── onnx2tensorrt.md │ ├── pytorch2onnx.md │ ├── pytorch2torchscript.md │ └── visualization.md │ └── tutorials │ ├── MMClassification_python_cn.ipynb │ ├── MMClassification_tools_cn.ipynb │ ├── config.md │ ├── data_pipeline.md │ ├── finetune.md │ ├── new_dataset.md │ ├── new_modules.md │ ├── runtime.md │ └── schedule.md ├── model-index.yml ├── requirements.txt ├── resources └── CLS.png ├── rsicls ├── .mim │ ├── configs │ ├── model-index.yml │ └── tools ├── __init__.py ├── apis │ ├── __init__.py │ ├── inference.py │ ├── test.py │ └── train.py ├── core │ ├── __init__.py │ ├── evaluation │ │ ├── __init__.py │ │ ├── eval_hooks.py │ │ ├── eval_metrics.py │ │ ├── mean_ap.py │ │ └── multilabel_eval_metrics.py │ ├── export │ │ ├── __init__.py │ │ └── test.py │ ├── hook │ │ ├── __init__.py │ │ ├── class_num_check_hook.py │ │ ├── lr_updater.py │ │ ├── precise_bn_hook.py │ │ └── wandblogger_hook.py │ ├── optimizers │ │ ├── __init__.py │ │ └── lamb.py │ ├── utils │ │ ├── __init__.py │ │ ├── dist_utils.py │ │ └── misc.py │ └── visualization │ │ ├── __init__.py │ │ └── image.py ├── datasets │ ├── __init__.py │ ├── base_dataset.py │ ├── bigearthnet.py │ ├── builder.py │ ├── cifar.py │ ├── cub.py │ ├── custom.py │ ├── dataset_wrappers.py │ ├── fmow.py │ ├── imagenet.py │ ├── imagenet21k.py │ ├── mnist.py │ ├── multi_label.py │ ├── pipelines │ │ ├── __init__.py │ │ ├── auto_augment.py │ │ ├── compose.py │ │ ├── formatting.py │ │ ├── loading.py │ │ └── transforms.py │ ├── samplers │ │ ├── __init__.py │ │ ├── distributed_sampler.py │ │ └── repeat_aug.py │ ├── utils.py │ └── voc.py ├── models │ ├── __init__.py │ ├── backbones │ │ ├── __init__.py │ │ ├── alexnet.py │ │ ├── base_backbone.py │ │ ├── conformer.py │ │ ├── convmixer.py │ │ ├── convnext.py │ │ ├── cspnet.py │ │ ├── deit.py │ │ ├── densenet.py │ │ ├── efficientnet.py │ │ ├── hrnet.py │ │ ├── lenet.py │ │ ├── mlp_mixer.py │ │ ├── mobilenet_v2.py │ │ ├── mobilenet_v3.py │ │ ├── poolformer.py │ │ ├── regnet.py │ │ ├── repmlp.py │ │ ├── repvgg.py │ │ ├── res2net.py │ │ ├── resnest.py │ │ ├── resnet.py │ │ ├── resnet_cifar.py │ │ ├── resnext.py │ │ ├── seresnet.py │ │ ├── seresnext.py │ │ ├── shufflenet_v1.py │ │ ├── shufflenet_v2.py │ │ ├── swin_transformer.py │ │ ├── t2t_vit.py │ │ ├── timm_backbone.py │ │ ├── tnt.py │ │ ├── twins.py │ │ ├── van.py │ │ ├── vgg.py │ │ └── vision_transformer.py │ ├── builder.py │ ├── classifiers │ │ ├── __init__.py │ │ ├── base.py │ │ └── image.py │ ├── heads │ │ ├── __init__.py │ │ ├── base_head.py │ │ ├── cls_head.py │ │ ├── conformer_head.py │ │ ├── deit_head.py │ │ ├── linear_head.py │ │ ├── multi_label_head.py │ │ ├── multi_label_linear_head.py │ │ ├── stacked_head.py │ │ ├── vision_transformer_head.py │ │ └── vision_transformer_multi_label_head.py │ ├── losses │ │ ├── __init__.py │ │ ├── accuracy.py │ │ ├── asymmetric_loss.py │ │ ├── cross_entropy_loss.py │ │ ├── focal_loss.py │ │ ├── label_smooth_loss.py │ │ ├── seesaw_loss.py │ │ └── utils.py │ ├── necks │ │ ├── __init__.py │ │ ├── gap.py │ │ ├── gem.py │ │ └── hr_fuse.py │ └── utils │ │ ├── __init__.py │ │ ├── attention.py │ │ ├── augment │ │ ├── __init__.py │ │ ├── augments.py │ │ ├── builder.py │ │ ├── cutmix.py │ │ ├── identity.py │ │ ├── mixup.py │ │ ├── resizemix.py │ │ └── utils.py │ │ ├── channel_shuffle.py │ │ ├── embed.py │ │ ├── helpers.py │ │ ├── inverted_residual.py │ │ ├── make_divisible.py │ │ ├── position_encoding.py │ │ └── se_layer.py ├── utils │ ├── __init__.py │ ├── collect_env.py │ ├── logger.py │ └── setup_env.py └── version.py ├── setup.cfg ├── setup.py ├── tests ├── test_data │ ├── test_builder.py │ ├── test_datasets │ │ ├── test_common.py │ │ ├── test_dataset_utils.py │ │ ├── test_dataset_wrapper.py │ │ └── test_sampler.py │ └── test_pipelines │ │ ├── test_auto_augment.py │ │ ├── test_loading.py │ │ └── test_transform.py ├── test_downstream │ └── test_mmdet_inference.py ├── test_metrics │ ├── test_losses.py │ ├── test_metrics.py │ └── test_utils.py ├── test_models │ ├── test_backbones │ │ ├── __init__.py │ │ ├── test_conformer.py │ │ ├── test_convmixer.py │ │ ├── test_convnext.py │ │ ├── test_cspnet.py │ │ ├── test_deit.py │ │ ├── test_densenet.py │ │ ├── test_efficientnet.py │ │ ├── test_hrnet.py │ │ ├── test_mlp_mixer.py │ │ ├── test_mobilenet_v2.py │ │ ├── test_mobilenet_v3.py │ │ ├── test_poolformer.py │ │ ├── test_regnet.py │ │ ├── test_repmlp.py │ │ ├── test_repvgg.py │ │ ├── test_res2net.py │ │ ├── test_resnest.py │ │ ├── test_resnet.py │ │ ├── test_resnet_cifar.py │ │ ├── test_resnext.py │ │ ├── test_seresnet.py │ │ ├── test_seresnext.py │ │ ├── test_shufflenet_v1.py │ │ ├── test_shufflenet_v2.py │ │ ├── test_swin_transformer.py │ │ ├── test_t2t_vit.py │ │ ├── test_timm_backbone.py │ │ ├── test_tnt.py │ │ ├── test_twins.py │ │ ├── test_van.py │ │ ├── test_vgg.py │ │ ├── test_vision_transformer.py │ │ └── utils.py │ ├── test_classifiers.py │ ├── test_heads.py │ ├── test_neck.py │ └── test_utils │ │ ├── test_attention.py │ │ ├── test_augment.py │ │ ├── test_embed.py │ │ ├── test_inverted_residual.py │ │ ├── test_misc.py │ │ ├── test_position_encoding.py │ │ └── test_se.py ├── test_runtime │ ├── test_eval_hook.py │ ├── test_hooks.py │ ├── test_num_class_hook.py │ ├── test_optimizer.py │ └── test_preciseBN_hook.py └── test_utils │ ├── test_logger.py │ ├── test_setup_env.py │ ├── test_version_utils.py │ └── test_visualization.py ├── tools ├── analysis_tools │ ├── analyze_logs.py │ ├── analyze_results.py │ ├── eval_metric.py │ └── get_flops.py ├── convert_datasets │ └── convert_fmow_test.py ├── convert_models │ ├── efficientnet_to_mmcls.py │ ├── mlpmixer_to_mmcls.py │ ├── mobilenetv2_to_mmcls.py │ ├── publish_model.py │ ├── reparameterize_model.py │ ├── reparameterize_repvgg.py │ ├── repvgg_to_mmcls.py │ ├── shufflenetv2_to_mmcls.py │ ├── torchvision_to_mmcls.py │ ├── twins2mmcls.py │ ├── van2mmcls.py │ └── vgg_to_mmcls.py ├── deployment │ ├── mmcls2torchserve.py │ ├── mmcls_handler.py │ ├── onnx2tensorrt.py │ ├── pytorch2mlmodel.py │ ├── pytorch2onnx.py │ ├── pytorch2torchscript.py │ ├── test.py │ └── test_torchserver.py ├── dist_test.sh ├── dist_train.sh ├── kfold-cross-valid.py ├── misc │ ├── print_config.py │ └── verify_dataset.py ├── slurm_test.sh ├── slurm_train.sh ├── test.py ├── train.py └── visualizations │ ├── vis_cam.py │ ├── vis_lr.py │ └── vis_pipeline.py └── train.sh /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/EarthNets/RSI-Classification/HEAD/.gitignore -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/EarthNets/RSI-Classification/HEAD/CONTRIBUTING.md 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