-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathconvert.py
155 lines (123 loc) · 5.57 KB
/
convert.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
import json
import argparse
import sys
import cv2
import os
import shutil
def main(args):
# id_list = make_id_list(args.data_dir)
# print(id_list)
for json_file in os.listdir(args.data_dir):
if json_file.split('.')[-1] == 'json':
print(json_file)
json_path = os.path.join(args.data_dir, json_file)
txt_path = os.path.join(args.save_dir, os.path.basename(json_path).split('.')[0] + '.txt')
with open(txt_path, 'w') as f:
data = json.load(open(json_path))
ports_list = []
for i in range(len(data['shapes'])):
ports_location = data['shapes'][i]['points']
ports_list.append(ports_location)
for i in range(len(data['shapes'])):
x_lists = []
y_lists = []
obj_ports = ports_list[i]
for port in obj_ports:
x_lists.append(port[0])
y_lists.append(port[1])
x_max = sorted(x_lists)[-1]
x_min = sorted(x_lists)[0]
y_max = sorted(y_lists)[-1]
y_min = sorted(y_lists)[0]
width = x_max - x_min
height = y_max - y_min
img_path = os.path.join(args.data_dir, json_file.split('.')[0] + '.jpg')
if not os.path.exists(img_path):
img_path = img_path.replace('.jpg', '.png')
u, v, _ = cv2.imread(img_path).shape
# u, v = data["imageHeight"], data["imageWidth"]
center_x, center_y = round(float((x_min + width / 2.0) / v), 6), round(
float((y_min + height / 2.0) / u), 6)
f_width, f_height = round(float(width / v), 6), round(float(height / u), 6)
# label_id = str(id_list[data['shapes'][i]['label']])
label_id = data['shapes'][i]['label']
print(label_id)
# print(data['shapes'][i]['label'])
str_points = ' ' + str(center_x) + ' ' + str(center_y) + ' ' + str(f_width) + ' ' + str(f_height) + ' '
for port in obj_ports:
str_points += str(port[0] / v) + ' ' + str(port[1] / u) + ' '
f.write(label_id + str_points + '\n')
# save_yolo_file(label_id, str(center_x), str(center_y), str(f_width), str(f_height), str_points,
# args.data_dir, json_path, args.save_dir)
# break
else:
pass
# for file in os.listdir(args.data_dir):
# b_name = ['png', 'jpg']
# dirs_path = os.path.join(args.save_dir, 'train')
# dirs_path_val = os.path.join(args.save_dir, 'val')
# if os.path.exists(dirs_path):
# pass
# else:
# os.makedirs(dirs_path)
# os.makedirs(dirs_path_val)
# if not os.path.exists(os.path.join(args.data_dir, file.split('.')[0] + '.' + 'json')):
# continue
# if file.split('.')[-1] in b_name:
# pass
# # shutil.copyfile(os.path.join(args.data_dir, file), os.path.join(dirs_path, file.replace('.png', '.jpg')))
# get_train_or_val(args.data_dir, args.save_dir)
# get_label_id(args.data_dir, id_list, args.save_dir)
print("save done!")
# def make_id_list(src_path):
# json_list = []
# id_list = []
# for f_path in os.listdir(src_path):
# if f_path.split('.')[-1] == 'json':
# json_list.append(os.path.join(src_path, f_path))
# else:
# pass
# for json_path in json_list:
# data = json.load(open(json_path))
# for i in range(len(data['shapes'])):
# label = data['shapes'][i]['label']
# id_list.append(label)
# id_list = list(set(id_list))
# index = range(len(id_list))
# id_dict = dict(zip(id_list, index))
# return id_dict
def save_yolo_file(id_name, x, y, w, h, points, path, json_path, save_dir):
dir_path = os.path.join(save_dir, 'train')
# pdb.set_trace()
if os.path.exists(dir_path):
pass
else:
os.makedirs(dir_path)
txt_path = os.path.join(dir_path, os.path.basename(json_path).split('.')[0] + '.txt')
with open(txt_path, 'a+') as f:
f.write(id_name + ' ' + x + ' ' + y + ' ' + w + ' ' + h + ' ' + points + '\n')
return 0
def get_train_or_val(path, save_dir):
Txt_path = os.path.join(save_dir, 'yolo_train.txt')
for file_name in os.listdir(path):
if file_name.split('.')[-1] == 'jpg' or file_name.split('.')[-1] == 'png':
img_path = os.path.join(path, file_name)
with open(Txt_path, 'a+') as f:
f.write(img_path + '\n')
def get_label_id(path, id_list, save_dir):
Txt_path = os.path.join(save_dir, 'names.txt')
with open(Txt_path, 'w') as f:
atu = sorted(id_list.items(), key=lambda x: x[1], reverse=False)
for ind in range(len(atu)):
alist = list(atu[ind])
print(alist[0])
f.write(alist[0] + '\n')
def parseArguments(argv):
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir', type=str,
help='the path of the json file', default='labelme_images')
parser.add_argument('--save_dir', type=str,
help='the path of the json file', default='labelme_images')
return parser.parse_args(argv)
if __name__ == '__main__':
main(parseArguments(sys.argv[1:]))