-
Notifications
You must be signed in to change notification settings - Fork 31
/
yolo_to_voc.py
139 lines (111 loc) · 5.13 KB
/
yolo_to_voc.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
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 17 22:10:01 2018
@author: Caroline Pacheco do E. Silva
"""
import os
import cv2
from xml.dom.minidom import parseString
from lxml.etree import Element, SubElement, tostring
import numpy as np
from os.path import join
## coco classes
YOLO_CLASSES = ('person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus',
'train', 'truck', 'boat', 'traffic light', 'fire', 'hydrant',
'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog',
'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra',
'giraffe', 'backpack', 'umbrella', 'handbag', 'tie',
'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball',
'kite', 'baseball bat', 'baseball glove', 'skateboard',
'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup',
'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza',
'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed',
'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote',
'keyboard', 'cell phone', 'microwave oven', 'toaster', 'sink',
'refrigerator', 'book', 'clock', 'vase', 'scissors',
'teddy bear', 'hair drier', 'toothbrush')
## converts the normalized positions into integer positions
def unconvert(class_id, width, height, x, y, w, h):
xmax = int((x*width) + (w * width)/2.0)
xmin = int((x*width) - (w * width)/2.0)
ymax = int((y*height) + (h * height)/2.0)
ymin = int((y*height) - (h * height)/2.0)
class_id = int(class_id)
return (class_id, xmin, xmax, ymin, ymax)
## path root folder
ROOT = 'coco'
## converts coco into xml
def xml_transform(root, classes):
class_path = join(root, 'labels')
ids = list()
l=os.listdir(class_path)
check = '.DS_Store' in l
if check == True:
l.remove('.DS_Store')
ids=[x.split('.')[0] for x in l]
annopath = join(root, 'labels', '%s.txt')
imgpath = join(root, 'images', '%s.jpg')
os.makedirs(join(root, 'outputs'), exist_ok=True)
outpath = join(root, 'outputs', '%s.xml')
for i in range(len(ids)):
img_id = ids[i]
if img_id == "classes":
continue
if os.path.exists(outpath % img_id):
continue
print(imgpath % img_id)
img= cv2.imread(imgpath % img_id)
height, width, channels = img.shape # pega tamanhos e canais das images
node_root = Element('annotation')
node_folder = SubElement(node_root, 'folder')
node_folder.text = 'VOC2007'
img_name = img_id + '.jpg'
node_filename = SubElement(node_root, 'filename')
node_filename.text = img_name
node_source= SubElement(node_root, 'source')
node_database = SubElement(node_source, 'database')
node_database.text = 'Coco database'
node_size = SubElement(node_root, 'size')
node_width = SubElement(node_size, 'width')
node_width.text = str(width)
node_height = SubElement(node_size, 'height')
node_height.text = str(height)
node_depth = SubElement(node_size, 'depth')
node_depth.text = str(channels)
node_segmented = SubElement(node_root, 'segmented')
node_segmented.text = '0'
target = (annopath % img_id)
if os.path.exists(target):
label_norm= np.loadtxt(target).reshape(-1, 5)
for i in range(len(label_norm)):
labels_conv = label_norm[i]
new_label = unconvert(labels_conv[0], width, height, labels_conv[1], labels_conv[2], labels_conv[3], labels_conv[4])
node_object = SubElement(node_root, 'object')
node_name = SubElement(node_object, 'name')
node_name.text = classes[new_label[0]]
node_pose = SubElement(node_object, 'pose')
node_pose.text = 'Unspecified'
node_truncated = SubElement(node_object, 'truncated')
node_truncated.text = '0'
node_difficult = SubElement(node_object, 'difficult')
node_difficult.text = '0'
node_bndbox = SubElement(node_object, 'bndbox')
node_xmin = SubElement(node_bndbox, 'xmin')
node_xmin.text = str(new_label[1])
node_ymin = SubElement(node_bndbox, 'ymin')
node_ymin.text = str(new_label[3])
node_xmax = SubElement(node_bndbox, 'xmax')
node_xmax.text = str(new_label[2])
node_ymax = SubElement(node_bndbox, 'ymax')
node_ymax.text = str(new_label[4])
xml = tostring(node_root, pretty_print=True)
dom = parseString(xml)
print(xml)
f = open(outpath % img_id, "wb")
#f = open(os.path.join(outpath, img_id), "w")
#os.remove(target)
f.write(xml)
f.close()
xml_transform(ROOT, YOLO_CLASSES)