File size: 1,716 Bytes
506da10 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
# 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()
|