voc_label_toGeneratetxt.py

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

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

classes = ["person", "car"]




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

    x = box[0]
    y = box[2]
    w = box[1]
    h = box[3]
    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)
    h = 416
    w = 416
    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)
        if cls_id == 0:
            clasname = "person"
        elif cls_id == 1:
            clasname = "car"
        else:
            clasname = "other"
        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(clasname) + " " + " ".join([str(a) for a in bb]) + '\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)
        #print("file convrted ", image_id)
    list_file.close()

os.system("cat 2007_train.txt 2007_val.txt > train.txt")