tools/accuracy_checker/accuracy_checker/postprocessor/extend_segmentation_mask.py

   1 """
   2 Copyright (c) 2019 Intel Corporation
   3
   4 Licensed under the Apache License, Version 2.0 (the "License");
   5 you may not use this file except in compliance with the License.
   6 You may obtain a copy of the License at
   7
   8       http://www.apache.org/licenses/LICENSE-2.0
   9
  10 Unless required by applicable law or agreed to in writing, software
  11 distributed under the License is distributed on an "AS IS" BASIS,
  12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13 See the License for the specific language governing permissions and
  14 limitations under the License.
  15 """
  16 import math
  17 import cv2
  18
  19 from .postprocessor import Postprocessor, BasePostprocessorConfig
  20 from ..representation import SegmentationAnnotation, SegmentationPrediction
  21 from ..config import NumberField, ConfigError
  22
  23
  24 class ExtendSegmentationMask(Postprocessor):
  25     """
  26     Extend annotation segmentation mask to prediction size filling border with specific label.
  27     """
  28
  29     __provider__ = 'extend_segmentation_mask'
  30
  31     annotation_types = (SegmentationAnnotation, )
  32     prediction_types = (SegmentationPrediction, )
  33
  34     def validate_config(self):
  35         class _ExtendSegmentationMaskConfigValidator(BasePostprocessorConfig):
  36             filling_label = NumberField(optional=True, floats=False)
  37
  38         extend_mask_config_validator = _ExtendSegmentationMaskConfigValidator(
  39             self.__provider__, on_extra_argument=_ExtendSegmentationMaskConfigValidator.ERROR_ON_EXTRA_ARGUMENT
  40         )
  41         extend_mask_config_validator.validate(self.config)
  42
  43     def configure(self):
  44         self.filling_label = self.config.get('filling_label', 255)
  45
  46     def process_image(self, annotation, prediction):
  47         for annotation_, prediction_ in zip(annotation, prediction):
  48             annotation_mask = annotation_.mask
  49             dst_height, dst_width = prediction_.mask.shape[-2:]
  50             height, width = annotation_mask.shape[-2:]
  51             if dst_width < width or dst_height < height:
  52                 raise ConfigError('size for extending should be not less current mask size')
  53             pad = []
  54             pad.append(int(math.floor((dst_height - height) / 2.0)))
  55             pad.append(int(math.floor((dst_width - width) / 2.0)))
  56             pad.append(int(dst_height - height - pad[0]))
  57             pad.append(int(dst_width - width - pad[1]))
  58
  59             extended_mask = cv2.copyMakeBorder(
  60                 annotation_mask, pad[0], pad[2], pad[1], pad[3], cv2.BORDER_CONSTANT, value=self.filling_label
  61             )
  62             annotation_.mask = extended_mask
  63
  64         return annotation, prediction