tools/accuracy_checker/accuracy_checker/postprocessor/resize_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 from functools import singledispatch
  17 import scipy.misc
  18 import numpy as np
  19
  20 from ..config import NumberField
  21 from ..utils import get_size_from_config
  22 from .postprocessor import PostprocessorWithSpecificTargets, PostprocessorWithTargetsConfigValidator
  23 from ..representation import SegmentationPrediction, SegmentationAnnotation
  24
  25
  26 class ResizeSegmentationMask(PostprocessorWithSpecificTargets):
  27     __provider__ = 'resize_segmentation_mask'
  28
  29     annotation_types = (SegmentationAnnotation, )
  30     prediction_types = (SegmentationPrediction, )
  31
  32     def validate_config(self):
  33         class _ResizeConfigValidator(PostprocessorWithTargetsConfigValidator):
  34             size = NumberField(floats=False, optional=True, min_value=1)
  35             dst_width = NumberField(floats=False, optional=True, min_value=1)
  36             dst_height = NumberField(floats=False, optional=True, min_value=1)
  37
  38         resize_config_validator = _ResizeConfigValidator(self.__provider__)
  39         resize_config_validator.validate(self.config)
  40
  41     def configure(self):
  42         self.dst_height, self.dst_width = get_size_from_config(self.config, allow_none=True)
  43
  44     def process_image(self, annotation, prediction):
  45         target_height = self.dst_height or self.image_size[0]
  46         target_width = self.dst_width or self.image_size[1]
  47
  48         @singledispatch
  49         def resize_segmentation_mask(entry, height, width):
  50             return entry
  51
  52         @resize_segmentation_mask.register(SegmentationPrediction)
  53         def _(entry, height, width):
  54             entry_mask = []
  55             for class_mask in entry.mask:
  56                 resized_mask = scipy.misc.imresize(class_mask, (height, width), 'nearest')
  57                 entry_mask.append(resized_mask)
  58             entry.mask = np.array(entry_mask)
  59
  60             return entry
  61
  62         @resize_segmentation_mask.register(SegmentationAnnotation)
  63         def _(entry, height, width):
  64             entry.mask = scipy.misc.imresize(entry.mask, (height, width), 'nearest')
  65             return entry
  66
  67         for target in annotation:
  68             resize_segmentation_mask(target, target_height, target_width)
  69
  70         for target in prediction:
  71             resize_segmentation_mask(target, target_height, target_width)
  72
  73         return annotation, prediction