Opencv画框

2022-09-02 20:17:20 浏览数 (1)

代码语言:javascript复制
import os
import xml.dom.minidom
import cv2 as cv

ImgPath = 'D:paper\3low_light_imagedataset_lowlightcadCADJPEGImages\'
AnnoPath = 'D:paper\3low_light_imagedataset_lowlightcadCADAnnotations\'  # xml文件地址
save_path = 'D:paper\3low_light_imagedataset_lowlightcadCAD'


def draw_anchor(ImgPath, AnnoPath, save_path):
    imagelist = os.listdir(ImgPath)
    for image in imagelist:

        image_pre, ext = os.path.splitext(image)
        imgfile = ImgPath   image
        xmlfile = AnnoPath   image_pre   '.xml'
        # print(image)
        # 打开xml文档
        DOMTree = xml.dom.minidom.parse(xmlfile)
        # 得到文档元素对象
        collection = DOMTree.documentElement
        # 读取图片
        img = cv.imread(imgfile)

        filenamelist = collection.getElementsByTagName("filename")
        filename = filenamelist[0].childNodes[0].data
        print(filename)
        # 得到标签名为object的信息
        objectlist = collection.getElementsByTagName("object")

        for objects in objectlist:
            # 每个object中得到子标签名为name的信息
            namelist = objects.getElementsByTagName('name')
            # 通过此语句得到具体的某个name的值
            objectname = namelist[0].childNodes[0].data

            bndbox = objects.getElementsByTagName('bndbox')
            # print(bndbox)
            for box in bndbox:
                x1_list = box.getElementsByTagName('xmin')
                x1 = int(x1_list[0].childNodes[0].data)
                y1_list = box.getElementsByTagName('ymin')
                y1 = int(y1_list[0].childNodes[0].data)
                x2_list = box.getElementsByTagName('xmax')  # 注意坐标,看是否需要转换
                x2 = int(x2_list[0].childNodes[0].data)
                y2_list = box.getElementsByTagName('ymax')
                y2 = int(y2_list[0].childNodes[0].data)
                cv.rectangle(img, (x1, y1), (x2, y2), (255, 255, 255), thickness=1)
                cv.putText(img, objectname, (x1, y1), cv.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0),
                           thickness=1)
                # cv.imshow('head', img)
                cv.imwrite(save_path   '/'   filename, img)  # save picture
if __name__ == "__main__":
    draw_anchor(ImgPath, AnnoPath, save_path)

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