使用imgaug库可以方便地进行图像增强操作，包括调整图像大小。以下是使用imgaug库调整图像大小并修改对应的XML标签框的示例脚本：
- 注意修改输入文件夹路径、输出文件夹路径和目标尺寸为自己内容。
input_folder = "path/to/your/input_folder"
output_folder = "path/to/your/output_folder"
target_size = (640, 640)
- 输入文件夹结构：
全部代码：
import os
import xml.etree.ElementTree as ET
from PIL import Image
import imgaug.augmenters as iaa
from imgaug.augmentables.bbs import BoundingBox, BoundingBoxesOnImage
import numpy as npdef resize_and_augment(image_path, xml_folder, output_folder, target_size):# 读取图像image = Image.open(image_path)# 获取XML文件路径xml_filename = os.path.splitext(os.path.basename(image_path))[0] + '.xml'xml_path = os.path.join(xml_folder, xml_filename)# 解析XML文件tree = ET.parse(xml_path)root = tree.getroot()# 读取原始图像大小original_size = image.size# 使用imgaug进行图像和标签框调整seq = iaa.Sequential([iaa.Resize({"height": target_size[0], "width": target_size[1]}),])# 将PIL图像转换为numpy数组image_np = np.array(image)# 从XML中提取所有标签框信息bounding_boxes = []for object_tag in root.iter('object'):bbox_tag = object_tag.find('bndbox')xmin = float(bbox_tag.find('xmin').text)ymin = float(bbox_tag.find('ymin').text)xmax = float(bbox_tag.find('xmax').text)ymax = float(bbox_tag.find('ymax').text)bounding_boxes.append(BoundingBox(x1=xmin, y1=ymin, x2=xmax, y2=ymax))# 创建BoundingBoxesOnImage对象bbs = BoundingBoxesOnImage(bounding_boxes, shape=image_np.shape)# 进行图像和标签框调整augmented_image, bbs_aug = seq(image=image_np, bounding_boxes=bbs)# 创建输出文件夹路径output_images_folder = os.path.join(output_folder, 'images')output_xml_folder = os.path.join(output_folder, 'xml')# 确保输出文件夹存在，如果不存在则创建os.makedirs(output_images_folder, exist_ok=True)os.makedirs(output_xml_folder, exist_ok=True)# 保存调整后的图像augmented_image_path = os.path.join(output_images_folder, os.path.basename(image_path))Image.fromarray(augmented_image).save(augmented_image_path)# 更新XML文件update_xml(xml_path, bbs_aug, original_size, target_size, output_xml_folder)def update_xml(xml_path, bbs_aug, original_size, new_size, output_folder):# 解析XML文件tree = ET.parse(xml_path)root = tree.getroot()# 更新图像尺寸for size_tag in root.iter('size'):width_tag = size_tag.find('width')height_tag = size_tag.find('height')width_tag.text = str(new_size[1])height_tag.text = str(new_size[0])# 更新对象边界框for object_tag, bbox_aug in zip(root.iter('object'), bbs_aug.bounding_boxes):bbox_tag = object_tag.find('bndbox')# 更新坐标for coord, coord_value in zip(['xmin', 'ymin', 'xmax', 'ymax'], [bbox_aug.x1, bbox_aug.y1, bbox_aug.x2, bbox_aug.y2]):coord_tag = bbox_tag.find(coord)coord_tag.text = str(int(coord_value))# 保存更新后的XML文件到输出文件夹updated_xml_filename = os.path.basename(xml_path)updated_xml_path = os.path.join(output_folder, updated_xml_filename)tree.write(updated_xml_path)if __name__ == "__main__":# 输入文件夹路径、输出文件夹路径和目标尺寸input_folder = "path/to/your/input_folder"output_folder = "path/to/your/output_folder"target_size = (640, 640)# 遍历图像文件夹for filename in os.listdir(os.path.join(input_folder, 'images')):if filename.endswith('.jpg'):image_path = os.path.join(input_folder, 'images', filename)resize_and_augment(image_path, os.path.join(input_folder, 'xml'), output_folder, target_size)
