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

os_remove_path = 'E:/Code/Pycharm/015_yolo-for-k210'  # 需要根据实际路径进行修改

sets = [('MyImage', 'train'), ('MyImage', 'val'), ('MyImage', 'test')]  # 使用自定义数据集
# sets=[('VOCdevkit', 'train'), ('VOCdevkit', 'val'), ('VOCdevkit', 'test')]#使用VOCdevkit数据集
classes = ["patch_board", "shoe", "bottle", "box", "pen", "udisk", "book", "mask", "line", "base", "sock"]
difficulty_set = 1


# 将得到的标注框由左上角右下角的形式变换为中心点和宽高形式，并归一化
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


# voc格式转化为yolo格式，并保存
def convert_annotation(year, image_id):
    in_file = open('Train_Image/%s/Annotations/%s.xml' % (year, image_id))
    out_file = open('Train_Image/%s/labels/%s.txt' % (year, image_id), 'w')
    is_empty = 0  # 默认设置为0，表示文件标注为空
    tree = ET.parse(in_file)
    root = tree.getroot()
    size = root.find('size')
    w = int(size.find('width').text)
    h = int(size.find('height').text)

    if root.find('object') is None:
        print("删除以下错误xml文件，请重新生成train.txt val.txt test.txt")
        in_file.close()
        os.remove(os_remove_path + '/Train_Image/%s/Annotations/%s.xml' % (year, image_id))
        print(os_remove_path + '/Train_Image/%s/Annotations/%s.xml' % (year, image_id))

    for obj in root.iter('object'):
        cls = obj.find('name').text
        if cls not in classes:  # 如果不包含，直接退出
            continue
        if obj.find('difficult') is not None:  # 优化代码，增加容错性，直接排除不包含difficulty的成分
            difficult = obj.find('difficult').text
            if int(difficult) == difficulty_set:
                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))
        if float(xmlbox.find('xmin').text) < 0 or float(xmlbox.find('xmax').text) < 0:
            continue
        is_empty = 1
        bb = convert((w, h), b)
        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
    if is_empty == 0:
        print("删除以下错误xml文件，请重新生成train.txt val.txt test.txt")
        in_file.close()
        os.remove(os_remove_path + '/Train_Image/%s/Annotations/%s.xml' % (year, image_id))
        print(os_remove_path + '/Train_Image/%s/Annotations/%s.xml' % (year, image_id))


if __name__ == '__main__':
    wd = getcwd()
    for year, image_set in sets:
        if not os.path.exists('Train_Image/%s/labels/' % year):
            os.makedirs('Train_Image/%s/labels/' % year)
        # image_ids = open('Train_Image/%s/ImageSets/Main/%s.txt'%(year, image_set)).read().strip().split()
        image_ids = open('Train_Image/%s/ImageSets/Main/%s.txt' % (year, image_set)).read().strip().split()
        # 在项目主目录中生成训练集、验证集、测试集图片文件绝对路径
        list_file = open('%s_%s.txt' % (year, image_set), 'w')
        for image_id in image_ids:
            list_file.write('%s\\Train_Image\\%s\\JPEGImages\\%s.jpg\n' % (wd, year, image_id))
            convert_annotation(year, image_id)
        list_file.close()