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https://github.com/PaddlePaddle/PaddleOCR.git
synced 2026-10-25 10:17:04 +08:00
add refer for some code
This commit is contained in:
@@ -1,16 +1,7 @@
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# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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This code is refer from:
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https://github.com/WenmuZhou/DBNet.pytorch/blob/master/data_loader/modules/iaa_augment.py
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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@@ -1,4 +1,8 @@
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# -*- coding:utf-8 -*-
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"""
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This code is refer from:
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https://github.com/WenmuZhou/DBNet.pytorch/blob/master/data_loader/modules/make_border_map.py
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"""
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from __future__ import absolute_import
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from __future__ import division
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@@ -12,6 +12,7 @@ from shapely.geometry import Polygon
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__all__ = ['MakePseGt']
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class MakePseGt(object):
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r'''
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Making binary mask from detection data with ICDAR format.
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@@ -38,16 +39,20 @@ class MakePseGt(object):
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text_polys *= scale
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gt_kernels = []
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for i in range(1,self.kernel_num+1):
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for i in range(1, self.kernel_num + 1):
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# s1->sn, from big to small
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rate = 1.0 - (1.0 - self.min_shrink_ratio) / (self.kernel_num - 1) * i
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text_kernel, ignore_tags = self.generate_kernel(image.shape[0:2], rate, text_polys, ignore_tags)
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rate = 1.0 - (1.0 - self.min_shrink_ratio) / (self.kernel_num - 1
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) * i
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text_kernel, ignore_tags = self.generate_kernel(
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image.shape[0:2], rate, text_polys, ignore_tags)
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gt_kernels.append(text_kernel)
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training_mask = np.ones(image.shape[0:2], dtype='uint8')
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for i in range(text_polys.shape[0]):
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if ignore_tags[i]:
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cv2.fillPoly(training_mask, text_polys[i].astype(np.int32)[np.newaxis, :, :], 0)
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cv2.fillPoly(training_mask,
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text_polys[i].astype(np.int32)[np.newaxis, :, :],
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0)
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gt_kernels = np.array(gt_kernels)
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gt_kernels[gt_kernels > 0] = 1
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@@ -59,16 +64,25 @@ class MakePseGt(object):
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data['mask'] = training_mask.astype('float32')
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return data
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def generate_kernel(self, img_size, shrink_ratio, text_polys, ignore_tags=None):
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def generate_kernel(self,
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img_size,
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shrink_ratio,
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text_polys,
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ignore_tags=None):
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"""
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Refer to part of the code:
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https://github.com/open-mmlab/mmocr/blob/main/mmocr/datasets/pipelines/textdet_targets/base_textdet_targets.py
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"""
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h, w = img_size
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text_kernel = np.zeros((h, w), dtype=np.float32)
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for i, poly in enumerate(text_polys):
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polygon = Polygon(poly)
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distance = polygon.area * (1 - shrink_ratio * shrink_ratio) / (polygon.length + 1e-6)
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distance = polygon.area * (1 - shrink_ratio * shrink_ratio) / (
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polygon.length + 1e-6)
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subject = [tuple(l) for l in poly]
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pco = pyclipper.PyclipperOffset()
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pco.AddPath(subject, pyclipper.JT_ROUND,
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pyclipper.ET_CLOSEDPOLYGON)
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pco.AddPath(subject, pyclipper.JT_ROUND, pyclipper.ET_CLOSEDPOLYGON)
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shrinked = np.array(pco.Execute(-distance))
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if len(shrinked) == 0 or shrinked.size == 0:
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@@ -1,4 +1,8 @@
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# -*- coding:utf-8 -*-
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"""
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This code is refer from:
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https://github.com/WenmuZhou/DBNet.pytorch/blob/master/data_loader/modules/make_shrink_map.py
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"""
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from __future__ import absolute_import
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from __future__ import division
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@@ -1,4 +1,8 @@
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# -*- coding:utf-8 -*-
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"""
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This code is refer from:
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https://github.com/WenmuZhou/DBNet.pytorch/blob/master/data_loader/modules/random_crop_data.py
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"""
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from __future__ import absolute_import
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from __future__ import division
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@@ -1,16 +1,7 @@
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# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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This code is refer from:
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https://github.com/RubanSeven/Text-Image-Augmentation-python/blob/master/augment.py
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"""
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import numpy as np
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from .warp_mls import WarpMLS
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@@ -1,16 +1,7 @@
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# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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This code is refer from:
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https://github.com/RubanSeven/Text-Image-Augmentation-python/blob/master/warp_mls.py
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"""
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import numpy as np
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