更换文档检测模型
This commit is contained in:
28
paddle_detection/dataset/coco/download_coco.py
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28
paddle_detection/dataset/coco/download_coco.py
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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import sys
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import os.path as osp
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import logging
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# add python path of PaddleDetection to sys.path
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parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
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if parent_path not in sys.path:
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sys.path.append(parent_path)
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from ppdet.utils.download import download_dataset
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logging.basicConfig(level=logging.INFO)
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download_path = osp.split(osp.realpath(sys.argv[0]))[0]
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download_dataset(download_path, 'coco')
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0
paddle_detection/dataset/dota/.gitignore
vendored
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0
paddle_detection/dataset/dota/.gitignore
vendored
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65
paddle_detection/dataset/mot/gen_labels_MOT.py
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paddle_detection/dataset/mot/gen_labels_MOT.py
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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import os.path as osp
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import os
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import numpy as np
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MOT_data = 'MOT16'
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# choose a data in ['MOT15', 'MOT16', 'MOT17', 'MOT20']
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# or your custom data (prepare it following the 'docs/tutorials/PrepareMOTDataSet.md')
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def mkdirs(d):
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if not osp.exists(d):
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os.makedirs(d)
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seq_root = './{}/images/train'.format(MOT_data)
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label_root = './{}/labels_with_ids/train'.format(MOT_data)
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mkdirs(label_root)
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seqs = [s for s in os.listdir(seq_root)]
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tid_curr = 0
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tid_last = -1
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for seq in seqs:
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seq_info = open(osp.join(seq_root, seq, 'seqinfo.ini')).read()
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seq_width = int(seq_info[seq_info.find('imWidth=') + 8:seq_info.find(
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'\nimHeight')])
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seq_height = int(seq_info[seq_info.find('imHeight=') + 9:seq_info.find(
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'\nimExt')])
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gt_txt = osp.join(seq_root, seq, 'gt', 'gt.txt')
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gt = np.loadtxt(gt_txt, dtype=np.float64, delimiter=',')
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seq_label_root = osp.join(label_root, seq, 'img1')
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mkdirs(seq_label_root)
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for fid, tid, x, y, w, h, mark, label, _ in gt:
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if mark == 0 or not label == 1:
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continue
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fid = int(fid)
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tid = int(tid)
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if not tid == tid_last:
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tid_curr += 1
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tid_last = tid
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x += w / 2
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y += h / 2
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label_fpath = osp.join(seq_label_root, '{:06d}.txt'.format(fid))
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label_str = '0 {:d} {:.6f} {:.6f} {:.6f} {:.6f}\n'.format(
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tid_curr, x / seq_width, y / seq_height, w / seq_width,
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h / seq_height)
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with open(label_fpath, 'a') as f:
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f.write(label_str)
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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import sys
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import os.path as osp
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import logging
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# add python path of PaddleDetection to sys.path
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parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
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if parent_path not in sys.path:
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sys.path.append(parent_path)
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from ppdet.utils.download import download_dataset
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logging.basicConfig(level=logging.INFO)
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download_path = osp.split(osp.realpath(sys.argv[0]))[0]
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download_dataset(download_path, 'roadsign_voc')
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4
paddle_detection/dataset/roadsign_voc/label_list.txt
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4
paddle_detection/dataset/roadsign_voc/label_list.txt
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speedlimit
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crosswalk
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trafficlight
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stop
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28
paddle_detection/dataset/spine_coco/download_spine_coco.py
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paddle_detection/dataset/spine_coco/download_spine_coco.py
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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import sys
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import os.path as osp
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import logging
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# add python path of PaddleDetection to sys.path
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parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
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if parent_path not in sys.path:
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sys.path.append(parent_path)
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from ppdet.utils.download import download_dataset
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logging.basicConfig(level=logging.INFO)
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download_path = osp.split(osp.realpath(sys.argv[0]))[0]
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download_dataset(download_path, 'spine_coco')
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28
paddle_detection/dataset/voc/create_list.py
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28
paddle_detection/dataset/voc/create_list.py
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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import sys
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import os.path as osp
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import logging
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# add python path of PaddleDetection to sys.path
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parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
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if parent_path not in sys.path:
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sys.path.append(parent_path)
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from ppdet.utils.download import create_voc_list
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logging.basicConfig(level=logging.INFO)
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voc_path = osp.split(osp.realpath(sys.argv[0]))[0]
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create_voc_list(voc_path)
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28
paddle_detection/dataset/voc/download_voc.py
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paddle_detection/dataset/voc/download_voc.py
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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import sys
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import os.path as osp
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import logging
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# add python path of PaddleDetection to sys.path
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parent_path = osp.abspath(osp.join(__file__, *(['..'] * 3)))
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if parent_path not in sys.path:
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sys.path.append(parent_path)
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from ppdet.utils.download import download_dataset
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logging.basicConfig(level=logging.INFO)
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download_path = osp.split(osp.realpath(sys.argv[0]))[0]
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download_dataset(download_path, 'voc')
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20
paddle_detection/dataset/voc/label_list.txt
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paddle_detection/dataset/voc/label_list.txt
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aeroplane
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bicycle
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bird
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boat
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bottle
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bus
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car
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cat
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chair
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cow
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diningtable
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dog
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horse
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motorbike
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person
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pottedplant
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sheep
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sofa
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train
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tvmonitor
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21
paddle_detection/dataset/wider_face/download_wider_face.sh
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paddle_detection/dataset/wider_face/download_wider_face.sh
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# All rights `PaddleDetection` reserved
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# References:
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# @inproceedings{yang2016wider,
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# Author = {Yang, Shuo and Luo, Ping and Loy, Chen Change and Tang, Xiaoou},
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# Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
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# Title = {WIDER FACE: A Face Detection Benchmark},
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# Year = {2016}}
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DIR="$( cd "$(dirname "$0")" ; pwd -P )"
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cd "$DIR"
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# Download the data.
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echo "Downloading..."
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wget https://dataset.bj.bcebos.com/wider_face/WIDER_train.zip
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wget https://dataset.bj.bcebos.com/wider_face/WIDER_val.zip
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wget https://dataset.bj.bcebos.com/wider_face/wider_face_split.zip
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# Extract the data.
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echo "Extracting..."
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unzip -q WIDER_train.zip
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unzip -q WIDER_val.zip
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unzip -q wider_face_split.zip
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