__init__.py
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# 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":
from .det_mobilenet_v3 import MobileNetV3
from .rec_hgnet import PPHGNet_small
from .rec_lcnetv3 import PPLCNetV3
from .rec_pphgnetv2 import PPHGNetV2_B4
support_dict = [
"MobileNetV3",
"ResNet",
"ResNet_vd",
"ResNet_SAST",
"PPLCNetV3",
"PPHGNet_small",
'PPHGNetV2_B4',
]
elif model_type == "rec" or model_type == "cls":
from .rec_hgnet import PPHGNet_small
from .rec_lcnetv3 import PPLCNetV3
from .rec_mobilenet_v3 import MobileNetV3
from .rec_svtrnet import SVTRNet
from .rec_mv1_enhance import MobileNetV1Enhance
from .rec_pphgnetv2 import PPHGNetV2_B4, PPHGNetV2_B6_Formula
support_dict = [
"MobileNetV1Enhance",
"MobileNetV3",
"ResNet",
"ResNetFPN",
"MTB",
"ResNet31",
"SVTRNet",
"ViTSTR",
"DenseNet",
"PPLCNetV3",
"PPHGNet_small",
"PPHGNetV2_B4",
"PPHGNetV2_B6_Formula"
]
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