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backend/ppocr/data/imaug/iaa_augment.py

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+# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# 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 code is refer from:
+https://github.com/WenmuZhou/DBNet.pytorch/blob/master/data_loader/modules/iaa_augment.py
+"""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+from __future__ import unicode_literals
+
+import numpy as np
+import imgaug
+import imgaug.augmenters as iaa
+
+
+class AugmenterBuilder(object):
+    def __init__(self):
+        pass
+
+    def build(self, args, root=True):
+        if args is None or len(args) == 0:
+            return None
+        elif isinstance(args, list):
+            if root:
+                sequence = [self.build(value, root=False) for value in args]
+                return iaa.Sequential(sequence)
+            else:
+                return getattr(iaa, args[0])(
+                    *[self.to_tuple_if_list(a) for a in args[1:]])
+        elif isinstance(args, dict):
+            cls = getattr(iaa, args['type'])
+            return cls(**{
+                k: self.to_tuple_if_list(v)
+                for k, v in args['args'].items()
+            })
+        else:
+            raise RuntimeError('unknown augmenter arg: ' + str(args))
+
+    def to_tuple_if_list(self, obj):
+        if isinstance(obj, list):
+            return tuple(obj)
+        return obj
+
+
+class IaaAugment():
+    def __init__(self, augmenter_args=None, **kwargs):
+        if augmenter_args is None:
+            augmenter_args = [{
+                'type': 'Fliplr',
+                'args': {
+                    'p': 0.5
+                }
+            }, {
+                'type': 'Affine',
+                'args': {
+                    'rotate': [-10, 10]
+                }
+            }, {
+                'type': 'Resize',
+                'args': {
+                    'size': [0.5, 3]
+                }
+            }]
+        self.augmenter = AugmenterBuilder().build(augmenter_args)
+
+    def __call__(self, data):
+        image = data['image']
+        shape = image.shape
+
+        if self.augmenter:
+            aug = self.augmenter.to_deterministic()
+            data['image'] = aug.augment_image(image)
+            data = self.may_augment_annotation(aug, data, shape)
+        return data
+
+    def may_augment_annotation(self, aug, data, shape):
+        if aug is None:
+            return data
+
+        line_polys = []
+        for poly in data['polys']:
+            new_poly = self.may_augment_poly(aug, shape, poly)
+            line_polys.append(new_poly)
+        data['polys'] = np.array(line_polys)
+        return data
+
+    def may_augment_poly(self, aug, img_shape, poly):
+        keypoints = [imgaug.Keypoint(p[0], p[1]) for p in poly]
+        keypoints = aug.augment_keypoints(
+            [imgaug.KeypointsOnImage(
+                keypoints, shape=img_shape)])[0].keypoints
+        poly = [(p.x, p.y) for p in keypoints]
+        return poly