# 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. import os.path as osp import os import numpy as np MOT_data = 'MOT16' # choose a data in ['MOT15', 'MOT16', 'MOT17', 'MOT20'] # or your custom data (prepare it following the 'docs/tutorials/PrepareMOTDataSet.md') def mkdirs(d): if not osp.exists(d): os.makedirs(d) seq_root = './{}/images/train'.format(MOT_data) label_root = './{}/labels_with_ids/train'.format(MOT_data) mkdirs(label_root) seqs = [s for s in os.listdir(seq_root)] tid_curr = 0 tid_last = -1 for seq in seqs: seq_info = open(osp.join(seq_root, seq, 'seqinfo.ini')).read() seq_width = int(seq_info[seq_info.find('imWidth=') + 8:seq_info.find( '\nimHeight')]) seq_height = int(seq_info[seq_info.find('imHeight=') + 9:seq_info.find( '\nimExt')]) gt_txt = osp.join(seq_root, seq, 'gt', 'gt.txt') gt = np.loadtxt(gt_txt, dtype=np.float64, delimiter=',') seq_label_root = osp.join(label_root, seq, 'img1') mkdirs(seq_label_root) for fid, tid, x, y, w, h, mark, label, _ in gt: if mark == 0 or not label == 1: continue fid = int(fid) tid = int(tid) if not tid == tid_last: tid_curr += 1 tid_last = tid x += w / 2 y += h / 2 label_fpath = osp.join(seq_label_root, '{:06d}.txt'.format(fid)) label_str = '0 {:d} {:.6f} {:.6f} {:.6f} {:.6f}\n'.format( tid_curr, x / seq_width, y / seq_height, w / seq_width, h / seq_height) with open(label_fpath, 'a') as f: f.write(label_str)