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Running
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T4
File size: 7,136 Bytes
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import json
import os
import re
import numpy as np
import cv2
from glob import glob
from fire import Fire
def process(dataset_name):
with open(os.path.join(dataset_name, 'list.txt'), 'r') as f:
lines = f.readlines()
videos = [x.strip() for x in lines]
# if dataset_name == 'VOT2016':
meta_data = {}
tags = []
for video in videos:
with open(os.path.join(dataset_name, video, "groundtruth.txt"),'r') as f:
gt_traj = [list(map(float, x.strip().split(','))) for x in f.readlines()]
img_names = sorted(glob(os.path.join(dataset_name, video, 'color', '*.jpg')))
if len(img_names) == 0:
img_names = sorted(glob(os.path.join(dataset_name, video, '*.jpg')))
im = cv2.imread(img_names[0])
img_names = [x.split('/', 1)[1] for x in img_names]
# tag
if dataset_name in ['VOT2018', 'VOT2019']:
tag_file = os.path.join(dataset_name, video, 'camera_motion.tag')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
camera_motion = [int(x.strip()) for x in f.readlines()]
camera_motion += [0] * (len(gt_traj) - len(camera_motion))
else:
print("File not exists: ", tag_file)
camera_motion = [] # [0] * len(gt_traj)
tag_file = os.path.join(dataset_name, video, 'illum_change.tag')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
illum_change = [int(x.strip()) for x in f.readlines()]
illum_change += [0] * (len(gt_traj) - len(illum_change))
else:
print("File not exists: ", tag_file)
illum_change = [] # [0] * len(gt_traj)
tag_file = os.path.join(dataset_name, video, 'motion_change.tag')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
motion_change = [int(x.strip()) for x in f.readlines()]
motion_change += [0] * (len(gt_traj) - len(motion_change))
else:
print("File not exists: ", tag_file)
motion_change = [] # [0] * len(gt_traj)
tag_file = os.path.join(dataset_name, video, 'size_change.tag')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
size_change = [int(x.strip()) for x in f.readlines()]
size_change += [0] * (len(gt_traj) - len(size_change))
else:
print("File not exists: ", tag_file)
size_change = [] # [0] * len(gt_traj)
tag_file = os.path.join(dataset_name, video, 'occlusion.tag')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
occlusion = [int(x.strip()) for x in f.readlines()]
occlusion += [0] * (len(gt_traj) - len(occlusion))
else:
print("File not exists: ", tag_file)
occlusion = [] # [0] * len(gt_traj)
img_files = os.path.join('VOT2019', )
meta_data[video] = {'video_dir': video,
'init_rect': gt_traj[0],
'img_names': img_names,
'width': im.shape[1],
'height': im.shape[0],
'gt_rect': gt_traj,
'camera_motion': camera_motion,
'illum_change': illum_change,
'motion_change': motion_change,
'size_change': size_change,
'occlusion': occlusion}
elif 'VOT2016' == dataset_name:
tag_file = os.path.join(dataset_name, video, 'camera_motion.label')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
camera_motion = [int(x.strip()) for x in f.readlines()]
camera_motion += [0] * (len(gt_traj) - len(camera_motion))
else:
print("File not exists: ", tag_file)
camera_motion = [] # [0] * len(gt_traj)
tag_file = os.path.join(dataset_name, video, 'illum_change.label')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
illum_change = [int(x.strip()) for x in f.readlines()]
illum_change += [0] * (len(gt_traj) - len(illum_change))
else:
print("File not exists: ", tag_file)
illum_change = [] # [0] * len(gt_traj)
tag_file = os.path.join(dataset_name, video, 'motion_change.label')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
motion_change = [int(x.strip()) for x in f.readlines()]
motion_change += [0] * (len(gt_traj) - len(motion_change))
else:
print("File not exists: ", tag_file)
motion_change = [] # [0] * len(gt_traj)
tag_file = os.path.join(dataset_name, video, 'size_change.label')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
size_change = [int(x.strip()) for x in f.readlines()]
size_change += [0] * (len(gt_traj) - len(size_change))
else:
print("File not exists: ", tag_file)
size_change = [] # [0] * len(gt_traj)
tag_file = os.path.join(dataset_name, video, 'occlusion.label')
if os.path.exists(tag_file):
with open(tag_file, 'r') as f:
occlusion = [int(x.strip()) for x in f.readlines()]
occlusion += [0] * (len(gt_traj) - len(occlusion))
else:
print("File not exists: ", tag_file)
occlusion = [] # [0] * len(gt_traj)
meta_data[video] = {'video_dir': video,
'init_rect': gt_traj[0],
'img_names': img_names,
'gt_rect': gt_traj,
'width': im.shape[1],
'height': im.shape[0],
'camera_motion': camera_motion,
'illum_change': illum_change,
'motion_change': motion_change,
'size_change': size_change,
'occlusion': occlusion}
else:
meta_data[video] = {'video_dir': video,
'init_rect': gt_traj[0],
'img_names': img_names,
'gt_rect': gt_traj,
'width': im.shape[1],
'height': im.shape[0]}
json.dump(meta_data, open(dataset_name+'.json', 'w'))
if __name__ == '__main__':
Fire(process)
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