mmc2015的专栏

先推荐大家看着两篇：[2] Viola P, Jones M J. Robust Real-Time Face Detection[J]. International Journal of Computer Vision, 2004, 57(2):137-154.[3] http://www.cnblogs.com/ello/archive/2012/04/28/2475419.html

infile >> faceCount; cout << faceCount << endl; for (int i = 1; i <= faceCount; i++) { infile >> h >> w >> angle >> x >> y >> one; //cout << h << "**" << w << "**" << angle << "**" << x <<

随机生成特征和生成指定特征：void GenerateFeature(vector> &featureList){ vector feature; int x, y, w, h; for (w = 4; w <= 16; w = w + 4) //[4, 8, 12, 16] { for (h = 3; h <= 12; h = h + 3) //[3, 6, 9, 12]

弱分类器生成：allWeakCLF=[]for feaInd in range(data.shape[1]-1): tempD=data.iloc[:,[feaInd,-1]] tempD=tempD.sort(columns=tempD.columns[0], ascending=False) tempD=np.array(tempD) bestCLF=[0.0, 1000

for (rate = 2; rate <= 7; rate += 1) //for each window { len = BaseLen*rate; //检测人脸的窗口边长（默认正方形）[50, 75, 100, 125, 150, 175] cout << "current window len is: " << len << endl; step = len/2;