[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f0-es12F4rIec5uDQreYrbgdwK86zz_qQS1nXiJ3jD1o":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":31,"type":32},[],"2025-01-03 16:20:00",176056053,[8,9,10,11],"大于阈值的像素群保持不变,小于阈值的像素群设置为 0","大于阈值的像素群设置为 0,小于阈值的像素群保持不变","大于阈值的像素群设置为 255,小于阈值的像素群设置为 0","大于阈值的像素群截断为阈值,小于阈值的像素群保持不变",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},122,"49fdbcb522d1c23cad56f543ae5a3941","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","计算机视觉应用开发","exam_147378821","计算机视觉应用开发模拟试卷","在使用阈值处理函数 cv2.threshold () 时,参数 type 为 cv2.THRESH_TRUNC 的作用是什么",[21,33,42,51,60,69,78,87,90,99],{"answer":22,"createTime":23,"id":24,"options":25,"question":30,"source":31,"type":32},[],"2025-01-05 19:53:19",176056046,[26,27,28,29],"不确定","是最小的","与旋转后的矩形包围框面积相同","不是最小的","在图像轮廓拟合中,直边界矩形框拟合的面积( )","v1",0,{"answer":34,"createTime":5,"id":35,"options":36,"question":41,"source":31,"type":32},[],176056047,[37,38,39,40],"扩大训练数据集规模","提高模型泛化能力","降低模型对某些属性的依赖","提高图像分辨率","图像增广的主要作用不包括以下哪一项?( )",{"answer":43,"createTime":5,"id":44,"options":45,"question":50,"source":31,"type":32},[],176056048,[46,47,48,49],"取决于具体实现和图像内容","128","64","256","在 SIFT 特征提取实验中,单个特征向量的长度通常为",{"answer":52,"createTime":5,"id":53,"options":54,"question":59,"source":31,"type":32},[],176056049,[55,56,57,58],"控制平滑效果的强度和方向性","决定是否进行归一化处理","决定边界样式","控制卷积核的大小","高斯滤波中,sigmaX 和 sigmaY 的作用是( )",{"answer":61,"createTime":5,"id":62,"options":63,"question":68,"source":31,"type":32},[],176056050,[64,65,66,67],"去噪效果变差,图像失真减轻","去噪效果变差,图像失真加重","去噪效果变好,图像失真减轻","去噪效果变好,图像失真加重","在均值滤波中,随着卷积核尺寸的增大,以下说法正确的是( )",{"answer":70,"createTime":5,"id":71,"options":72,"question":77,"source":31,"type":32},[],176056051,[73,74,75,76],"BRIEF","SIFT","所有特征匹配算法","ORB","在图像特征暴力匹配中,距离测量方式 cv2.NORM_L2 适用于以下哪种算法",{"answer":79,"createTime":5,"id":80,"options":81,"question":86,"source":31,"type":32},[],176056052,[82,83,84,85],"能保护图像边缘不被改变,同时增强图像对比度","能保护图像边缘不被模糊,同时去除噪声","能保护图像边缘不被腐蚀,同时膨胀图像","能保护图像边缘不被扩张,同时收缩图像","图像平滑中,双边滤波的保边特性是指什么",{"answer":88,"createTime":5,"id":6,"options":89,"question":19,"source":31,"type":32},[],[8,9,10,11],{"answer":91,"createTime":5,"id":92,"options":93,"question":98,"source":31,"type":32},[],176056054,[94,95,96,97],"形状特征","颜色特征","纹理特征","深度特征","基于特征的图像匹配中,以下不属于常见特征类型的是",{"answer":100,"createTime":5,"id":101,"options":102,"question":107,"source":31,"type":32},[],176056055,[103,104,105,106],"明月松间照,清泉石上流",""明月松间照,清泉石上流.竹喧归浣女,莲动下渔舟.随意春芳歇,王孙自可留"","['随意春芳歇,王孙自可留. \\n', ' ']","['明月松间照,清泉石上流.\\n', '竹喧归浣女,莲动下渔舟.\\n', '随意春芳歇,王孙自可留. \\n', ' ']","test.txt为一个空白txt文件,执行以下代码,结果正确的是:with open("test.txt", "a") as f: f.writelines("明月松间照,清泉石上流.\\n竹喧归浣女,莲动下渔舟.\\n随意春芳歇,王孙自可留. \\n ") with open("test.txt", "r") as f: strings = f.readline() print(strings)"]