PaddleOCR/ppocr/modeling/backbones/__init__.py

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

__all__ = ["build_backbone"]


def build_backbone(config, model_type):
    if model_type == "det" or model_type == "table":
        from .det_mobilenet_v3 import MobileNetV3
        from .det_resnet import ResNet
        from .det_resnet_vd import ResNet_vd
        from .det_resnet_vd_sast import ResNet_SAST
        from .det_pp_lcnet import PPLCNet
        support_dict = [
            "MobileNetV3", "ResNet", "ResNet_vd", "ResNet_SAST", "PPLCNet"
        ]
        if model_type == "table":
            from .table_master_resnet import TableResNetExtra
            support_dict.append('TableResNetExtra')
    elif model_type == "rec" or model_type == "cls":
        from .rec_mobilenet_v3 import MobileNetV3
        from .rec_resnet_vd import ResNet
        from .rec_resnet_fpn import ResNetFPN
        from .rec_mv1_enhance import MobileNetV1Enhance
        from .rec_nrtr_mtb import MTB
        from .rec_resnet_31 import ResNet31
        from .rec_resnet_32 import ResNet32
        from .rec_resnet_45 import ResNet45
        from .rec_resnet_aster import ResNet_ASTER
        from .rec_micronet import MicroNet
        from .rec_efficientb3_pren import EfficientNetb3_PREN
        from .rec_svtrnet import SVTRNet
        from .rec_vitstr import ViTSTR
        from .rec_resnet_rfl import ResNetRFL
        from .rec_densenet import DenseNet
        from .rec_shallow_cnn import ShallowCNN
        from .rec_lcnetv3 import LCNetv3
        from .rec_hgnet import PPHGNet_small
        support_dict = [
            'MobileNetV1Enhance', 'MobileNetV3', 'ResNet', 'ResNetFPN', 'MTB',
            'ResNet31', 'ResNet45', 'ResNet_ASTER', 'MicroNet',
            'EfficientNetb3_PREN', 'SVTRNet', 'ViTSTR', 'ResNet32', 'ResNetRFL',
            'DenseNet', 'ShallowCNN', 'LCNetv3', 'PPHGNet_small'
        ]
    elif model_type == 'e2e':
        from .e2e_resnet_vd_pg import ResNet
        support_dict = ['ResNet']
    elif model_type == 'kie':
        from .kie_unet_sdmgr import Kie_backbone
        from .vqa_layoutlm import LayoutLMForSer, LayoutLMv2ForSer, LayoutLMv2ForRe, LayoutXLMForSer, LayoutXLMForRe
        support_dict = [
            'Kie_backbone', 'LayoutLMForSer', 'LayoutLMv2ForSer',
            'LayoutLMv2ForRe', 'LayoutXLMForSer', 'LayoutXLMForRe'
        ]
    elif model_type == 'table':
        from .table_resnet_vd import ResNet
        from .table_mobilenet_v3 import MobileNetV3
        support_dict = ['ResNet', 'MobileNetV3']
    else:
        raise NotImplementedError

    module_name = config.pop('name')
    assert module_name in support_dict, Exception(
        "when model typs is {}, backbone only support {}".format(model_type,
                                                                 support_dict))
    module_class = eval(module_name)(**config)
    return module_class