目标检测任务数据集的数据增强中,图像水平翻转和xml标注文件坐标调整

需求:

数据集的数据增强中,有时需要用到图像水平翻转的操作,图像水平翻转后,对应的xml标注文件也需要做坐标的调整。

解决方法:

使用python+opencv+import xml.etree.ElementTree对图像水平翻转和xml标注文件坐标调整。代码如下:

python 复制代码
import cv2
import os
import glob
import xml.etree.ElementTree as et


def flip_images(source_dir):
    images_list = glob.glob(os.path.join(source_dir, "*.jpg"))
    index = 0
    for image_path in images_list:
        image = cv2.imread(image_path)
        flip_image = cv2.flip(image,1)
        cv2.imwrite(image_path.replace(".jpg", "_flip.jpg"), flip_image)
        tree_ = et.ElementTree()
        tree_.parse(image_path.replace(".jpg", ".xml"))

        root = et.Element("annotation")
        folder = et.SubElement(root, "folder")
        folder.text = "images"
        filename = et.SubElement(root, "filename")
        filename.text = tree_.find(".//filename").text.replace(".jpg", "_flip.jpg")
        path = et.SubElement(root, "path")
        path.text = "/home/mapgoo/test"
        source = et.SubElement(root, "source")
        database = et.SubElement(source, "database")
        database.text = "Unknown"
        size = et.SubElement(root, "size")
        width = et.SubElement(size, "width")
        width.text = tree_.find(".//width").text
        height = et.SubElement(size, "height")
        height.text = tree_.find(".//height").text
        depth = et.SubElement(size, "depth")
        depth.text = "3"
        segmented = et.SubElement(root, "segmented")
        segmented.text = "0"

        for bndbox in tree_.findall(".//object"):
            xmin = bndbox.find(".//xmin")
            ymin = bndbox.find(".//ymin")
            xmax = bndbox.find(".//xmax")
            ymax = bndbox.find(".//ymax")
            xmin_text = xmin.text
            ymin_text = ymin.text
            xmax_text = xmax.text
            ymax_text = ymax.text

            object_ = et.SubElement(root, "object")
            name = et.SubElement(object_, "name")
            name.text = bndbox.find("name").text
            pose = et.SubElement(object_, "pose")
            pose.text = "Unspecified"
            truncated = et.SubElement(object_, "truncated")
            truncated.text = "0"
            difficult = et.SubElement(object_, "difficult")
            difficult.text = "0"
            bndbox = et.SubElement(object_, "bndbox")
            xmin = et.SubElement(bndbox, "xmin")
            xmin.text = str(image.shape[1] - int(xmax_text))
            ymin = et.SubElement(bndbox, "ymin")
            ymin.text = ymin_text
            xmax = et.SubElement(bndbox, "xmax")
            xmax.text = str(image.shape[1] - int(xmin_text))
            ymax = et.SubElement(bndbox, "ymax")
            ymax.text = ymax_text

        tree = et.ElementTree(root)
        tree.write(image_path.replace(".jpg", "_flip.xml"), encoding="utf-8")
        print(image_path, index)
        index += 1


if __name__ == '__main__':
    source_dir = "/home/Desktop/test"
    flip_images(source_dir)

使用以上代码需要修改原图像和标注文件所在文件夹路径(source_dir)。亲测可用。

相关推荐
云边云科技8 分钟前
零售行业新店网络零接触部署场景下,如何选择SDWAN
运维·服务器·网络·人工智能·安全·边缘计算·零售
audyxiao00118 分钟前
为了更强大的空间智能,如何将2D图像转换成完整、具有真实尺度和外观的3D场景?
人工智能·计算机视觉·3d·iccv·空间智能
Monkey的自我迭代34 分钟前
机器学习总复习
人工智能·机器学习
大千AI助手35 分钟前
GitHub Copilot:AI编程助手的架构演进与真实世界影响
人工智能·深度学习·大模型·github·copilot·ai编程·codex
用户51914958484544 分钟前
耶稣蓝队集体防护Bash脚本:多模块协同防御实战
人工智能·aigc
☺����1 小时前
实现自己的AI视频监控系统-第一章-视频拉流与解码1
人工智能·python·音视频
Black_Rock_br1 小时前
本地部署的终极多面手:Qwen2.5-Omni-3B,视频剪、音频混、图像生、文本写全搞定
人工智能·音视频
用什么都重名1 小时前
《GPT-OSS 模型全解析:OpenAI 回归开源的 Mixture-of-Experts 之路》
人工智能·大模型·openai·gpt-oss
CV-杨帆2 小时前
使用LLaMA-Factory的数据集制作流程与训练微调Qwen3及评估
人工智能