更换文档检测模型
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65
paddle_detection/dataset/mot/gen_labels_MOT.py
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65
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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