new_contents: import xml.etree.ElementTree as ET
  import numpy as np
  import xmltodict
  import matplotlib.pyplot as plt
  #import cv2
  
  xml_data = 'data/Cam253/[Cam253]-2016_4_21_15h_150f/000150.xml'
  
  with open(xml_data) as xml_d:
  	doc = xmltodict.parse(xml_d.read())
  
  img = np.zeros((352, 240), np.float32)
  
  def add_to_image(image, bbox):
  	xmin = int(bbox['xmin'])
  	ymin = int(bbox['ymin'])
  	xmax = int(bbox['xmax'])
  	ymax = int(bbox['ymax'])
  	density = 1/ float((ymax - ymin) * (xmax - xmin))	
  
  	image[xmin:xmax, ymin:ymax] += density
  	print(np.sum(image))
  	print(xmin)
  	print(xmax)
  	print(ymin)
  	print(ymax)
  	return image
  
  for vehicle in doc['annotation']['vehicle']:
  	add_to_image(img, vehicle['bndbox'])
  
  imgplot = plt.imshow(img)
  plt.show()
  print(np.sum(img))
  
subject: add anno