import xml.etree.ElementTree as ET
from os import getcwd

sets=[('2007', 'train'), ('2007', 'val'), ('2007', 'test')]


#classes = ["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]
#classes = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "l", "m", "n", "o", "p", "r", "s", "t", "y"]
classes = ["pos", "neg"]
def convert_annotation(year, image_id, list_file):
    in_file = open('/PycharmProjects/lx/data/xml/%s.xml'%(image_id))
    tree=ET.parse(in_file)

    root = tree.getroot()

    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 = (int(xmlbox.find('xmin').text), int(xmlbox.find('ymin').text), int(xmlbox.find('xmax').text),
             int(xmlbox.find('ymax').text), int(xmlbox.find('c_x').text), int(xmlbox.find('c_y').text))
        list_file.write(" " + ",".join([str(a) for a in b]) + ',' + str(cls_id))

wd = getcwd()

for year, image_set in sets:
    image_ids = open('/PycharmProjects/lx/data/Main/%s.txt'%(image_set)).read().strip().split()

    list_file = open('%s_%s.txt'%(2019, image_set), 'w')
    for image_id in image_ids:
        list_file.write('/PycharmProjects/lx/data/img/%s.png'%(image_id))
        convert_annotation(year, image_id, list_file)
        list_file.write('\n')
    list_file.close()

