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1.Add a backbone: deitiii. 2.Add an optimizer: lamb. 3.Add a sampler: RASampler. 4.Add a lr update hook: CosineAnnealingWarmupByEpochLrUpdaterHook. 5.In easycv/models/classification/classification.py, I remove the default mixup_cfg to keep the classification.py clean.
24 lines
858 B
Python
24 lines
858 B
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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from .benchmark_mlp import BenchMarkMLP
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from .bninception import BNInception
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from .conv_mae_vit import FastConvMAEViT
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from .conv_vitdet import ConvViTDet
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from .efficientformer import EfficientFormer
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from .genet import PlainNet
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from .hrnet import HRNet
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from .inceptionv3 import Inception3
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from .lighthrnet import LiteHRNet
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from .mae_vit_transformer import *
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from .mnasnet import MNASNet
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from .mobilenetv2 import MobileNetV2
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from .pytorch_image_models_wrapper import *
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from .repvgg_yolox_backbone import RepVGGYOLOX
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from .resnest import ResNeSt
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from .resnet import ResNet
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from .resnet_jit import ResNetJIT
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from .resnext import ResNeXt
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from .shuffle_transformer import ShuffleTransformer
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from .swin_transformer import SwinTransformer
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from .vision_transformer import VisionTransformer
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from .vitdet import ViTDet
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