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fromXMLto3dpoints.py
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fromXMLto3dpoints.py
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from xml.dom import minidom
import pandas as pd
import json
no_of_files = 5
xmldoc = []
imagenamelist = []
itemlist = []
for i in range(no_of_files):
xmldoc.append(minidom.parse('resources/new-car/bb3d-annotations/annotations-0' + str(i+1) + '.xml'))
imagenamelist.append(xmldoc[i].getElementsByTagName('image'))
itemlist.append(xmldoc[i].getElementsByTagName('cuboid'))
df = pd.DataFrame(columns=['count', 'faces', 'points', 'x-range', 'y-range'])
# could have written it better but wth! :P
def format_data(data, itemlist, imagenamelist):
for item, image in zip(itemlist, imagenamelist):
count = int(image.attributes['name'].value.replace('1200-1416/','').replace('img-', '').replace('images', '').replace('.jpg', ''))
points = [
[int(float(item.attributes['xbr2'].value)), int(float(item.attributes['ybr2'].value))], #0
[int(float(item.attributes['xtr2'].value)), int(float(item.attributes['ytr2'].value))], #1
[int(float(item.attributes['xbl2'].value)), int(float(item.attributes['ybl2'].value))], #2
[int(float(item.attributes['xtl2'].value)), int(float(item.attributes['ytl2'].value))], #3
[int(float(item.attributes['xbr1'].value)), int(float(item.attributes['ybr1'].value))], #4
[int(float(item.attributes['xtr1'].value)), int(float(item.attributes['ytr1'].value))], #5
[int(float(item.attributes['xbl1'].value)), int(float(item.attributes['ybl1'].value))], #6
[int(float(item.attributes['xtl1'].value)), int(float(item.attributes['ytl1'].value))] #7
]
data['count'].append(count)
data['faces'].append(json.dumps(faces))
data['points'].append(json.dumps(points))
data['x-range'].append(max(int(float(item.attributes['xbr2'].value)), int(float(item.attributes['xtr2'].value)),
int(float(item.attributes['xbl2'].value)), int(float(item.attributes['xtl2'].value)),
int(float(item.attributes['xbr1'].value)), int(float(item.attributes['xtr1'].value)),
int(float(item.attributes['xbl1'].value)), int(float(item.attributes['xtl1'].value)))
-
min(int(float(item.attributes['xbr2'].value)), int(float(item.attributes['xtr2'].value)),
int(float(item.attributes['xbl2'].value)), int(float(item.attributes['xtl2'].value)),
int(float(item.attributes['xbr1'].value)), int(float(item.attributes['xtr1'].value)),
int(float(item.attributes['xbl1'].value)), int(float(item.attributes['xtl1'].value)))
)
data['y-range'].append(max(int(float(item.attributes['ybr2'].value)), int(float(item.attributes['ytr2'].value)),
int(float(item.attributes['ybl2'].value)), int(float(item.attributes['ytl2'].value)),
int(float(item.attributes['ybr1'].value)), int(float(item.attributes['ytr1'].value)),
int(float(item.attributes['ybl1'].value)), int(float(item.attributes['ytl1'].value)))
-
min(int(float(item.attributes['ybr2'].value)), int(float(item.attributes['ytr2'].value)),
int(float(item.attributes['ybl2'].value)), int(float(item.attributes['ytl2'].value)),
int(float(item.attributes['ybr1'].value)), int(float(item.attributes['ytr1'].value)),
int(float(item.attributes['ybl1'].value)), int(float(item.attributes['ytl1'].value)))
)
return data
if not len(imagenamelist) == len(itemlist):
print('length miss match check XML file!')
else:
faces = [[0, 1, 3, 2], [0, 1, 7, 6], [2, 3, 5, 4], [4, 5, 7, 6]]
data = {}
data['count'] = []
data['faces'] = []
data['points'] = []
data['x-range'] = []
data['y-range'] = []
for item, imagename in zip(itemlist, imagenamelist):
data = format_data(data, item, imagename)
df = df.append(pd.DataFrame.from_dict(data), ignore_index=True)
print(df.shape)
df.to_csv('resources/new-car/cvat-bb3d-annotation.csv', index=False)