文件名称：人脸识别素有的训练模型
文件大小：1.9MB
文件格式：RAR
更新时间：2017-04-12 11:48:14
人脸识别模型
模型包括眼睛耳朵鼻子嘴巴眼镜等模型，可以直接用opencv10调用，使用极其方便 CvMemStorage* storage1 = 0; storage1 = cvCreateMemStorage(0) ; CvHaarClassifierCascade* cascade_e = 0; const char* cascade_name2 = "haarcascade_eye.xml"; cascade_e = (CvHaarClassifierCascade*)cvLoad( cascade_name2, 0, 0, 0 ); assert(cascade_e != NULL); //storage = cvCreateMemStorage(0) ; CvSeq *eyes = cvHaarDetectObjects( img, cascade_e, storage1, 1.1, 3, 0, cvSize(4, 5) ); int i; for( i = 0; i < (eyes ? eyes->total : 0); i++ ) { CvRect *eye = (CvRect*)cvGetSeqElem(eyes, i); cvRectangle( img, cvPoint(eye->x, eye->y), cvPoint(eye->x + eye->width, eye->y + eye->height), CV_RGB(255, 0, 0), 1, 8, 0); } //cvResetImageROI(img); cvClearMemStorage(storage1);
【文件预览】：
xml
----haarcascade_mcs_rightear.xml(317KB)
----haarcascade_mcs_eyepair_big.xml(350KB)
----haarcascade_righteye_2splits.xml(317KB)
----haarcascade_frontalface_default.xml(1.2MB)
----haarcascade_frontalface_alt2.xml(818KB)
----haarcascade_upperbody.xml(1022KB)
----haarcascade_lefteye_2splits.xml(316KB)
----haarcascade_mcs_leftear.xml(306KB)
----haarcascade_frontalface_alt.xml(898KB)
----haarcascade_smile.xml(275KB)
----haarcascade_lowerbody.xml(519KB)
----haarcascade_profileface.xml(1.07MB)
----haarcascade_eye.xml(494KB)
----haarcascade_mcs_upperbody.xml(1.45MB)
----haarcascade_mcs_nose.xml(1.51MB)
----haarcascade_mcs_lefteye.xml(759KB)
----haarcascade_frontalface_alt_tree.xml(3.48MB)
----haarcascade_mcs_eyepair_small.xml(401KB)
----haarcascade_fullbody.xml(622KB)
----haarcascade_eye_tree_eyeglasses.xml(1.04MB)
----haarcascade_mcs_righteye.xml(1.32MB)
----haarcascade_mcs_mouth.xml(703KB)