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utils.py
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utils.py
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import cv2
from lxml import etree
def read_image(path_image):
"""
Input :
path - path (String) to the image
Output :
img - the image (numpy array)
"""
img = cv2.imread(path_image)
return img
def read_label(path_label):
"""
Input :
path - path (String) to the label
Output :
bounding_boxes - labels (list)
bounding_boxes = [('label', xmin, ymin, xmax, ymax), ...]
"""
file = etree.parse(path_label)
bounding_boxes = []
for noeuds in file.xpath('/annotation/object'):
for name in noeuds.xpath('name'):
type = name.text
for coord in noeuds.xpath('bndbox/xmin'):
xm = int(coord.text)
for coord in noeuds.xpath('bndbox/ymin'):
ym = int(coord.text)
for coord in noeuds.xpath('bndbox/xmax'):
xM = int(coord.text)
for coord in noeuds.xpath('bndbox/ymax'):
yM = int(coord.text)
if type == 'person':
bounding_boxes.append([(type, xm, ym, xM, yM)])
return bounding_boxes