voc_label.py

import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join

# sets = [('2012', 'train'), ('2012', 'val')]
sets = [('2007', 'train'), ('2007', 'val'), ('2007', 'test')]

classes = ["Insulator", "Rotary_double_ear", "Binaural_sleeve", "Brace_sleeve", "Steady_arm_base", "Bracing_wire_hook", "Double_sleeve_connector", "Messenger_wire_base",
           "Windproof_wire_ring", "Insulator_base", "Isoelectric_line", "Brace_sleeve_screw"]


def convert(size, box):
    dw = 1. / (size[0])
    dh = 1. / (size[1])
    x = (box[0] + box[1]) / 2.0 - 1
    y = (box[2] + box[3]) / 2.0 - 1
    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(year, image_id):
    in_file = open('../VOCdevkit/VOC%s/Annotations/%s.xml' % (year, image_id))
    out_file = open('../VOCdevkit/VOC%s/labels/%s.txt' % (year, 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)
        # out_file.write(str(cls_id) + " " +
        #                " ".join([str(int(a) for a in b]) + '\n')
        out_file.write(str(cls_id) + " " +
                       " ".join([str(int(a)) for a in b]) + '\n')


wd = getcwd()

for year, image_set in sets:
    if not os.path.exists('../VOCdevkit/VOC%s/labels/' % (year)):
        os.makedirs('../VOCdevkit/VOC%s/labels/' % (year))
    image_ids = open('../VOCdevkit/VOC%s/ImageSets/Main/%s.txt' %
                     (year, image_set)).read().strip().split()
    list_file = open('%s_%s.txt' % (year, image_set), 'w')
    for image_id in image_ids:
        list_file.write('%s/../VOCdevkit/VOC%s/JPEGImages/%s.jpg\n' %
                        (wd, year, image_id))
        convert_annotation(year, image_id)
    list_file.close()

os.system("type 2007_train.txt 2007_val.txt 2012_train.txt 2012_val.txt > train.txt")
os.system("type 2007_train.txt 2007_val.txt 2007_test.txt 2012_train.txt 2012_val.txt > train.all.txt")