# Copyright 2023 The TensorFlow 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. """Decoders configurations.""" import dataclasses from typing import List, Optional # Import libraries from official.modeling import hyperparams @dataclasses.dataclass class Identity(hyperparams.Config): """Identity config.""" pass @dataclasses.dataclass class FPN(hyperparams.Config): """FPN config.""" num_filters: int = 256 fusion_type: str = 'sum' use_separable_conv: bool = False use_keras_layer: bool = False @dataclasses.dataclass class NASFPN(hyperparams.Config): """NASFPN config.""" num_filters: int = 256 num_repeats: int = 5 use_separable_conv: bool = False @dataclasses.dataclass class ASPP(hyperparams.Config): """ASPP config.""" level: int = 4 dilation_rates: List[int] = dataclasses.field(default_factory=list) dropout_rate: float = 0.0 num_filters: int = 256 use_depthwise_convolution: bool = False pool_kernel_size: Optional[List[int]] = None # Use global average pooling. spp_layer_version: str = 'v1' output_tensor: bool = False @dataclasses.dataclass class Decoder(hyperparams.OneOfConfig): """Configuration for decoders. Attributes: type: 'str', type of decoder be used, one of the fields below. fpn: fpn config. """ type: Optional[str] = None fpn: FPN = dataclasses.field(default_factory=FPN) nasfpn: NASFPN = dataclasses.field(default_factory=NASFPN) identity: Identity = dataclasses.field(default_factory=Identity) aspp: ASPP = dataclasses.field(default_factory=ASPP)