You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
66 lines
2.8 KiB
66 lines
2.8 KiB
# Copyright 2017 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.
|
|
# ==============================================================================
|
|
|
|
"""A function to build an object detection box coder from configuration."""
|
|
from object_detection.box_coders import faster_rcnn_box_coder
|
|
from object_detection.box_coders import keypoint_box_coder
|
|
from object_detection.box_coders import mean_stddev_box_coder
|
|
from object_detection.box_coders import square_box_coder
|
|
from object_detection.protos import box_coder_pb2
|
|
|
|
|
|
def build(box_coder_config):
|
|
"""Builds a box coder object based on the box coder config.
|
|
|
|
Args:
|
|
box_coder_config: A box_coder.proto object containing the config for the
|
|
desired box coder.
|
|
|
|
Returns:
|
|
BoxCoder based on the config.
|
|
|
|
Raises:
|
|
ValueError: On empty box coder proto.
|
|
"""
|
|
if not isinstance(box_coder_config, box_coder_pb2.BoxCoder):
|
|
raise ValueError('box_coder_config not of type box_coder_pb2.BoxCoder.')
|
|
|
|
if box_coder_config.WhichOneof('box_coder_oneof') == 'faster_rcnn_box_coder':
|
|
return faster_rcnn_box_coder.FasterRcnnBoxCoder(scale_factors=[
|
|
box_coder_config.faster_rcnn_box_coder.y_scale,
|
|
box_coder_config.faster_rcnn_box_coder.x_scale,
|
|
box_coder_config.faster_rcnn_box_coder.height_scale,
|
|
box_coder_config.faster_rcnn_box_coder.width_scale
|
|
])
|
|
if box_coder_config.WhichOneof('box_coder_oneof') == 'keypoint_box_coder':
|
|
return keypoint_box_coder.KeypointBoxCoder(
|
|
box_coder_config.keypoint_box_coder.num_keypoints,
|
|
scale_factors=[
|
|
box_coder_config.keypoint_box_coder.y_scale,
|
|
box_coder_config.keypoint_box_coder.x_scale,
|
|
box_coder_config.keypoint_box_coder.height_scale,
|
|
box_coder_config.keypoint_box_coder.width_scale
|
|
])
|
|
if (box_coder_config.WhichOneof('box_coder_oneof') ==
|
|
'mean_stddev_box_coder'):
|
|
return mean_stddev_box_coder.MeanStddevBoxCoder(
|
|
stddev=box_coder_config.mean_stddev_box_coder.stddev)
|
|
if box_coder_config.WhichOneof('box_coder_oneof') == 'square_box_coder':
|
|
return square_box_coder.SquareBoxCoder(scale_factors=[
|
|
box_coder_config.square_box_coder.y_scale,
|
|
box_coder_config.square_box_coder.x_scale,
|
|
box_coder_config.square_box_coder.length_scale
|
|
])
|
|
raise ValueError('Empty box coder.')
|