text: import xml.etree.ElementTree as ET
  import pickle
  import os
  from os import listdir, getcwd
  from os.path import join
  
  sets=[('train'), ('val')]
  
  classes = ["bee"]
  
  
  def convert(size, box):
      dw = 1./size[0]
      dh = 1./size[1]
      x = (box[0] + box[1])/2.0
      y = (box[2] + box[3])/2.0
      w = box[1] - box[0]
      h = box[3] - box[2]
      x = x*dw
      w = w*dw
      y = y*dh
      h = h*dh
      return (x,y,w,h)
  
  def convert_annotation(image_id):
      in_file = open('/home/carlos/Bee/annotationsNew/%s.xml'%(image_id))
      out_file = open('labels/%s.txt'%(image_id), 'w')
      tree=ET.parse(in_file)
      root = tree.getroot()
      size = root.find('size')
      w = int(size.find('width').text)
      h = int(size.find('height').text)
  
      for obj in root.iter('object'):
          difficult = obj.find('difficult').text
          cls = obj.find('name').text
          if cls not in classes or int(difficult) == 1:
              continue
          cls_id = classes.index(cls)
          xmlbox = obj.find('bndbox')
          b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text), float(xmlbox.find('ymax').text))
          bb = convert((w,h), b)
          print(str(cls_id) + " " + " ".join([str(a) for a in bb]))
          out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
  
  wd = getcwd()
  
  for image_set in sets:
      if not os.path.exists('labels/'):
          os.makedirs('labels/')
      image_ids = open('Main/%s.txt'%(image_set)).read().strip().split()
      list_file = open('%s.txt'%(image_set), 'w')
      for image_id in image_ids:
          if image_id == '-1':
              continue
          list_file.write('/home/carlos/Bee/images/%s.jpg\n'%(image_id))
          #print(image_id)
          convert_annotation(image_id)
      list_file.close()
  
  