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我写的基于OPENCV的人脸检测程序！先找到haar特征，然后基于Adaboost检测！-the code based on OpenCV which is used to detect the faces
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visual c++ 人脸检测程序，可以检测图片中的人脸。必须安装opencv才能运行。-visual c++ face detection program that can detect faces in the picture. Opencv must be installed to run.
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利用OPenCV，实现视频中人脸的定位和检测，修改视频的路径即可运行-Use OPenCV to realize video faces positioning and testing. modify the video path to run
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这是一个利用opencv实现的，基于Haar分类器的人脸检测的程序-This is a program used to detect the faces in a picture based on the Haar classifier
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以opencv 245 版本 製作的鏡頭人臉偵測，有兩段程式碼，第一段為鏡頭偵測人臉，如果沒鏡頭會跳至第二段程式碼為偵測lena.png圖片-Produced by opencv 245 version of the lens face detection, there are two pieces of code, the first paragraph of the lens detect human faces, if not the lens will jump second secti
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在VC6.0环境下，借助openCV函数库，对视频中的人脸进行检测，并实时跟踪，然后用Haar特征的分类器定位人脸，并检测瞳孔存在与否，提取关于眼睛的疲劳信息-In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classif
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This Android App uses Haar like features to detect faces in real time.The app uses OpenCV 2.4.6.0
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Python scr ipt to detect faces. It uses two haar cascade trained to recognise faces and eyes. The haar cascade are included. In uses OpenCV so it is required.
The scr ipt is written in Python 3.
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