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修改coco_stuff和pascal_context标注转换问题 (#1257)
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| # Copyright (c) 2021 PaddlePaddle 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. | ||
| """ | ||
| File: convert_cocostuff.py | ||
| This file is based on https://github.com/nightrome/cocostuff to generate PASCAL-Context Dataset. | ||
| Before running, you should download the COCOSTUFF from https://github.com/nightrome/cocostuff. Then, make the folder | ||
| structure as follow: | ||
| cocostuff | ||
| | | ||
| |--images | ||
| | |--train2017 | ||
| | |--val2017 | ||
| | | ||
| |--annotations | ||
| | |--train2017 | ||
| | |--val2017 | ||
| """ | ||
|
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| import os | ||
| import argparse | ||
|
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| import cv2 | ||
| import numpy as np | ||
| from PIL import Image | ||
| from tqdm import tqdm | ||
|
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| def parse_args(): | ||
| parser = argparse.ArgumentParser( | ||
| description='Generate COCOStuff dataset') | ||
| parser.add_argument( | ||
| '--annotation_path', default='annotations', help='COCOStuff anotation path', type=str) | ||
| parser.add_argument( | ||
| '--save_path', default='convert_annotations', help='COCOStuff anotation path', type=str) | ||
|
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| return parser.parse_args() | ||
|
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| class COCOStuffGenerator(object): | ||
| def __init__(self, annotation_path, save_path): | ||
|
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| super(COCOStuffGenerator, self).__init__() | ||
|
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| self.mapping = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 66, 69, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181] | ||
| self.annotation_path = annotation_path | ||
| self.save_path = save_path | ||
|
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| def encode_label(self, labelmap): | ||
| ret = np.ones_like(labelmap) * 255 | ||
| for idx, label in enumerate(self.mapping): | ||
|
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| ret[labelmap == label] = idx | ||
| return ret.astype(np.uint8) | ||
|
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| def generate_label(self): | ||
| train_path = os.path.join(self.annotation_path, 'train2017') | ||
| val_path = os.path.join(self.annotation_path, 'val2017') | ||
| save_train_path = os.path.join(self.save_path, 'train2017') | ||
| save_val_path = os.path.join(self.save_path, 'val2017') | ||
|
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||
| if not os.path.exists(save_train_path): | ||
| os.makedirs(save_train_path) | ||
| if not os.path.exists(save_val_path): | ||
| os.makedirs(save_val_path) | ||
|
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||
| for label_id in tqdm(os.listdir(train_path), desc='trainset'): | ||
| label = np.array( | ||
| Image.open(os.path.join(train_path, label_id)).convert('P') | ||
| ) | ||
| label = self.encode_label(label) | ||
| label = Image.fromarray(label) | ||
| label.save(os.path.join(save_train_path, label_id)) | ||
|
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| for label_id in tqdm(os.listdir(val_path), desc='valset'): | ||
| label = np.array( | ||
| Image.open(os.path.join(val_path, label_id)).convert('P') | ||
| ) | ||
| label = self.encode_label(label) | ||
| label = Image.fromarray(label) | ||
| label.save(os.path.join(save_val_path, label_id)) | ||
|
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| def main(): | ||
| args = parse_args() | ||
| generator = COCOStuffGenerator( | ||
| annotation_path=args.annotation_path, save_path=args.save_path) | ||
| generator.generate_label() | ||
|
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|
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| if __name__ == '__main__': | ||
| main() | ||
| #/mnt/haoyuying/data/cocostuff/convert_annotations/val2017/000000086336.png |
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