目标检测任务数据集的数据增强中,图像垂直翻转和xml标注文件坐标调整

需求:

数据集的数据增强中,有时需要用到图像垂直翻转的操作,图像垂直翻转后,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对图像垂直翻转和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,0)
        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 = xmin_text
            ymin = et.SubElement(bndbox, "ymin")
            ymin.text = str(image.shape[0] - int(ymax_text))
            xmax = et.SubElement(bndbox, "xmax")
            xmax.text = xmax_text
            ymax = et.SubElement(bndbox, "ymax")
            ymax.text = str(image.shape[0] - int(ymin_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
Shawn_Shawn5 小时前
人工智能入门概念介绍
人工智能
极限实验室5 小时前
程序员爆哭!我们让 COCO AI 接管 GitLab 审查后,团队直接起飞:连 CTO 都说“这玩意儿比人靠谱多了
人工智能·gitlab
Maynor9966 小时前
Z-Image: 100% Free AI Image Generator
人工智能
爬点儿啥6 小时前
[Ai Agent] 10 MCP基础:快速编写你自己的MCP服务器(Server)
人工智能·ai·langchain·agent·transport·mcp
张人玉6 小时前
百度 AI 图像识别 WinForms 应用代码分析笔记
人工智能·笔记·百度
测试人社区-小明7 小时前
智能弹性伸缩算法在测试环境中的实践与验证
人工智能·测试工具·算法·机器学习·金融·机器人·量子计算
Spring AI学习7 小时前
Spring AI深度解析(9/50):可观测性与监控体系实战
java·人工智能·spring
罗西的思考8 小时前
【Agent】MemOS 源码笔记---(5)---记忆分类
人工智能·深度学习·算法
dajun1811234568 小时前
反 AI 生成技术兴起:如何识别与过滤海量的 AI 伪造内容?
人工智能
人邮异步社区8 小时前
PRML为何是机器学习的经典书籍中的经典?
人工智能·机器学习