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deeplab2 / model /post_processor /post_processor_builder.py

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	# coding=utf-8
	# Copyright 2021 The Deeplab2 Authors.
	#
	# 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.

	"""This file contains a post-processor builder used in the DeepLab model."""

	import tensorflow as tf

	from deeplab2 import common
	from deeplab2 import config_pb2
	from deeplab2.data import dataset
	from deeplab2.model import utils
	from deeplab2.model.post_processor import max_deeplab
	from deeplab2.model.post_processor import panoptic_deeplab


	def get_post_processor(
	config: config_pb2.ExperimentOptions,
	dataset_descriptor: dataset.DatasetDescriptor) -> tf.keras.layers.Layer:
	"""Initializes a DeepLab post-processor.

	Args:
	config: A config_pb2.ExperimentOptions configuration.
	dataset_descriptor: A dataset.DatasetDescriptor.

	Returns:
	PostProcessor: A post-processor depending on the configuration.
	"""
	supported_tasks = utils.get_supported_tasks(config)
	if config.model_options.WhichOneof('meta_architecture') == 'max_deeplab':
	return max_deeplab.PostProcessor(config, dataset_descriptor)
	if common.TASK_PANOPTIC_SEGMENTATION in supported_tasks:
	return panoptic_deeplab.PostProcessor(config, dataset_descriptor)
	return panoptic_deeplab.SemanticOnlyPostProcessor()