Python performs data enhancement on the voc dataset

import xml.etree.ElementTree as ET
import os
import imgaug as ia
import numpy as np
import shutil
from tqdm import tqdm
from PIL import Image
from imgaug import augmenters as iaa


ia.seed(1)


def read_xml_annotation(root, image_id):
    in_file = open(os.path.join(root, image_id))
    tree = ET.parse(in_file)
    root = tree.getroot()
    bndboxlist = []

    for object in root.findall('object'):  # 找到root节点下的所有country节点
        bndbox = object.find('bndbox')  # 子节点下节点rank的值

        xmin = int(bndbox.find('xmin').text)
        xmax = int(bndbox.find('xmax').text)
        ymin = int(bndbox.find('ymin').text)
        ymax = int(bndbox.find('ymax').text)
        # print(xmin,ymin,xmax,ymax)
        bndboxlist.append([xmin, ymin, xmax, ymax])
        # print(bndboxlist)

    bndbox = root.find('object').find('bndbox')
    return bndboxlist


def change_xml_list_annotation(root, image_id, new_target, saveroot, id):
    in_file = open(os.path.join(root, str(image_id) + '.xml'))  # 这里root分别由两个意思
    tree = ET.parse(in_file)
    #修改增强后的xml文件中的filename
    elem = tree.find('filename')
    elem.text = (str(id) + '.jpg')
    xmlroot = tree.getroot()
    #修改增强后的xml文件中的path
    elem = tree.find('path')
    if elem != None:
        elem.text = (saveroot + str(id) + '.jpg')

    index = 0
    for object in xmlroot.findall('object'):  # 找到root节点下的所有country节点
        bndbox = object.find('bndbox')  # 子节点下节点rank的值

        # xmin = int(bndbox.find('xmin').text)
        # xmax = int(bndbox.find('xmax').text)
        # ymin = int(bndbox.find('ymin').text)
        # ymax = int(bndbox.find('ymax').text)

        new_xmin = new_target[index][0]
        new_ymin = new_target[index][1]
        new_xmax = new_target[index][2]
        new_ymax = new_target[index][3]

        xmin = bndbox.find('xmin')
        xmin.text = str(new_xmin)
        ymin = bndbox.find('ymin')
        ymin.text = str(new_ymin)
        xmax = bndbox.find('xmax')
        xmax.text = str(new_xmax)
        ymax = bndbox.find('ymax')
        ymax.text = str(new_ymax)

        index = index + 1

    tree.write(os.path.join(saveroot, str(id + '.xml')))


def mkdir(path):
    # 去除首位空格
    path = path.strip()
    # 去除尾部 \ 符号
    path = path.rstrip("\\")
    # 判断路径是否存在
    # 存在     True
    # 不存在   False
    isExists = os.path.exists(path)
    # 判断结果
    if not isExists:
        # 如果不存在则创建目录
        # 创建目录操作函数
        os.makedirs(path)
        print(path + ' 创建成功')
        return True
    else:
        # 如果目录存在则不创建，并提示目录已存在
        print(path + ' 目录已存在')
        return False


if __name__ == "__main__":

    IMG_DIR = "D:/projectcode/datasets/logo_dataset/train/"
    XML_DIR = "D:/projectcode/datasets/logo_dataset/voclabel/"

    AUG_XML_DIR = "D:/projectcode/datasets/logo_dataset/aug_vocLabels/"  # 存储增强后的XML文件夹路径
    try:
        shutil.rmtree(AUG_XML_DIR)
    except FileNotFoundError as e:
        a = 1
    mkdir(AUG_XML_DIR)

    AUG_IMG_DIR = "D:/projectcode/datasets/logo_dataset/aug_train/"  # 存储增强后的影像文件夹路径
    try:
        shutil.rmtree(AUG_IMG_DIR)
    except FileNotFoundError as e:
        a = 1
    mkdir(AUG_IMG_DIR)

    AUGLOOP = 6  # 每张影像增强的数量

    boxes_img_aug_list = []
    new_bndbox = []
    new_bndbox_list = []

    # 影像增强
    seq = iaa.Sequential([
        # iaa.Invert(0.5),
        iaa.Flipud(0.5), #只有50%的概率执行上下翻转
        iaa.Fliplr(0.5),  # 镜像
        iaa.Multiply((1.2, 1.5)),  # change brightness, doesn't affect BBs
        iaa.GaussianBlur(sigma=(0, 3.0)),  # iaa.GaussianBlur(0.5),
        iaa.Affine(
            translate_px={
    
    "x": 15, "y": 15}, #平移
            scale=(0.8, 0.95), #尺度变换
        )  # translate by 40/60px on x/y axis, and scale to 50-70%, affects BBs
    ])

    for name in tqdm(os.listdir(XML_DIR), desc='Processing'):

        bndbox = read_xml_annotation(XML_DIR, name)
        
        # 保存原xml文件
        shutil.copy(os.path.join(XML_DIR, name), AUG_XML_DIR)
        # 保存原图
        og_img = Image.open(IMG_DIR+'/'+name[:-4] + '.jpg')
        og_img.convert('RGB').save(AUG_IMG_DIR + name[:-4] + '.jpg', 'JPEG')
        og_xml = open(os.path.join(XML_DIR, name)) 
        tree = ET.parse(og_xml)
        #修改增强后的xml文件中的filename
        elem = tree.find('filename')
        elem.text = (name[:-4] + '.jpg')
        tree.write(os.path.join(AUG_XML_DIR, name))


        for epoch in range(AUGLOOP):
            seq_det = seq.to_deterministic()  # 保持坐标和图像同步改变，而不是随机
            # 读取图片
            img = Image.open(os.path.join(IMG_DIR, name[:-4] + '.jpg'))
            # sp = img.size
            img = np.asarray(img)
            # bndbox 坐标增强
            for i in range(len(bndbox)):
                bbs = ia.BoundingBoxesOnImage([
                    ia.BoundingBox(x1=bndbox[i][0], y1=bndbox[i][1], x2=bndbox[i][2], y2=bndbox[i][3]),
                ], shape=img.shape)

                bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]
                boxes_img_aug_list.append(bbs_aug)

                # new_bndbox_list:[[x1,y1,x2,y2],...[],[]]
                n_x1 = int(max(1, min(img.shape[1], bbs_aug.bounding_boxes[0].x1)))
                n_y1 = int(max(1, min(img.shape[0], bbs_aug.bounding_boxes[0].y1)))
                n_x2 = int(max(1, min(img.shape[1], bbs_aug.bounding_boxes[0].x2)))
                n_y2 = int(max(1, min(img.shape[0], bbs_aug.bounding_boxes[0].y2)))
                if n_x1 == 1 and n_x1 == n_x2:
                    n_x2 += 1
                if n_y1 == 1 and n_y2 == n_y1:
                    n_y2 += 1
                if n_x1 >= n_x2 or n_y1 >= n_y2:
                    print('error', name)
                new_bndbox_list.append([n_x1, n_y1, n_x2, n_y2])
            # 存储变化后的图片
            image_aug = seq_det.augment_images([img])[0]
            path = os.path.join(AUG_IMG_DIR,
                                str(str(name[:-4]) + '_' + str(epoch)) + '.jpg')
            image_auged = bbs.draw_on_image(image_aug, size=0)
            Image.fromarray(image_auged).convert('RGB').save(path) 

            # 存储变化后的XML
            change_xml_list_annotation(XML_DIR, name[:-4], new_bndbox_list, AUG_XML_DIR,
                                        str(name[:-4]) + '_' + str(epoch))
            # print(str(str(name[:-4]) + '_' + str(epoch)) + '.jpg')
            new_bndbox_list = []
    print('Finish!')