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dancetrack_data_process.py
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dancetrack_data_process.py
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import os.path as osp
import os
import numpy as np
def mkdirs(d):
if not osp.exists(d):
os.makedirs(d)
seq_root = '/mnt/8T/home/estar/data/DanceTrack'
label_root = '/mnt/8T/home/estar/data/DanceTrack/trackers_gt_t'
mkdirs(label_root)
trainer = ["train"]
for tr in trainer:
seq_root_tr = (osp.join(seq_root, tr))
info_root_tr = (osp.join(seq_root, 'train'))
seqs =[s for s in os.listdir(seq_root_tr)]
for seq in seqs:
print(seq)
seq_info = open(osp.join(info_root_tr, 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_tr, seq, 'gt', 'gt.txt')
gt = np.loadtxt(gt_txt, dtype=np.float64, delimiter=',')
idx = np.lexsort(gt.T[:2, :])
gt = gt[idx, :]
seq_label_root = osp.join(label_root, seq, 'img1')
mkdirs(seq_label_root)
for fid, tid, x, y, w, h, mark, cls, vis in gt:
if mark == 0 or not cls == 1:
continue
fid = int(fid)
tid = int(tid)
x = w / 2
y = h / 2
label_fpath = osp.join(seq_label_root, '{:06d}.txt'.format(tid))
label_str = '0 {:d} {:.6f} {:.6f} {:.6f} {:.6f} {:.6f}\n'.format(
fid, x / seq_width, y / seq_height, w / seq_width, h / seq_height, vis)
with open(label_fpath, 'a') as f:
f.write(label_str)