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<!--
Stump-based 20x20 gentle adaboost frontal face detector.
Created by Rainer Lienhart.
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Opencv实现人脸识别文件:haarcascade-frontalface-alt.xml
共1个文件
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2023-09-15
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haarcascade_frontalface_alt.xml是OpenCV中的一个经典的人脸检测器模型文件。它基于Haar特征分类器,用于检测图像或视频中的人脸。 具体来说,该模型文件使用AdaBoost算法训练得到,其中包含了一系列的弱分类器,这些分类器通过检测图像中的特征(如边缘、纹理等)来判断是否为人脸。通过级联分类器的方式,可以有效地检测出人脸,并且具有较高的准确性和速度。 使用haarcascade_frontalface_alt.xml模型文件,你可以在图像或视频中检测出人脸的位置和边界框,从而实现人脸识别、人脸表情分析、人脸关键点检测等应用。 在使用该模型文件时,你需要将其加载到OpenCV中,并使用相应的函数进行人脸检测。例如,在Python中可以使用cv2库的cv2.CascadeClassifier类加载模型文件,并调用detectMultiScale方法进行人脸检测。
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