<?xml version="1.0"?>
<!--
Stump-based 20x20 gentle adaboost frontal face detector.
This detector uses tree of stage classifiers instead of a cascade
Created by Rainer Lienhart.
////////////////////////////////////////////////////////////////////////////////////////
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copy or use the software.
Intel License Agreement
For Open Source Computer Vision Library
Copyright (C) 2000, Intel Corporation, all rights reserved.
Third party copyrights are property of their respective owners.
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are permitted provided that the following conditions are met:
* Redistribution's of source code must retain the above copyright notice,
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* The name of Intel Corporation may not be used to endorse or promote products
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-->
<opencv_storage>
<haarcascade_frontalface_tree_alt type_id="opencv-haar-classifier">
<size>20 20</size>
<stages>
<_>
<!-- stage 0 -->
<trees>
<_>
<!-- tree 0 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>2 7 14 4 -1.</_>
<_>2 9 14 2 2.</_></rects>
<tilted>0</tilted></feature>
<threshold>3.7895569112151861e-003</threshold>
<left_val>-0.9294580221176148</left_val>
<right_val>0.6411985158920288</right_val></_></_>
<_>
<!-- tree 1 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>1 2 18 4 -1.</_>
<_>7 2 6 4 3.</_></rects>
<tilted>0</tilted></feature>
<threshold>0.0120981102809310</threshold>
<left_val>-0.7181009054183960</left_val>
<right_val>0.4714100956916809</right_val></_></_>
<_>
<!-- tree 2 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>5 5 9 5 -1.</_>
<_>8 5 3 5 3.</_></rects>
<tilted>0</tilted></feature>
<threshold>1.2138449819758534e-003</threshold>
<left_val>-0.7283161282539368</left_val>
<right_val>0.3033069074153900</right_val></_></_></trees>
<stage_threshold>-1.3442519903182983</stage_threshold>
<parent>-1</parent>
<next>-1</next></_>
<_>
<!-- stage 1 -->
<trees>
<_>
<!-- tree 0 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>3 6 14 9 -1.</_>
<_>3 9 14 3 3.</_></rects>
<tilted>0</tilted></feature>
<threshold>8.7510552257299423e-003</threshold>
<left_val>-0.8594707250595093</left_val>
<right_val>0.3688138127326965</right_val></_></_>
<_>
<!-- tree 1 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>1 1 18 5 -1.</_>
<_>7 1 6 5 3.</_></rects>
<tilted>0</tilted></feature>
<threshold>0.0219867005944252</threshold>
<left_val>-0.6018015146255493</left_val>
<right_val>0.3289783000946045</right_val></_></_>
<_>
<!-- tree 2 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>4 6 12 8 -1.</_>
<_>4 10 12 4 2.</_></rects>
<tilted>0</tilted></feature>
<threshold>6.4913398819044232e-004</threshold>
<left_val>-0.7943195104598999</left_val>
<right_val>0.2549329996109009</right_val></_></_>
<_>
<!-- tree 3 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>9 5 6 10 -1.</_>
<_>12 5 3 5 2.</_>
<_>9 10 3 5 2.</_></rects>
<tilted>0</tilted></feature>
<threshold>-1.0192029876634479e-003</threshold>
<left_val>0.2272932976484299</left_val>
<right_val>-0.6362798213958740</right_val></_></_>
<_>
<!-- tree 4 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>4 0 11 9 -1.</_>
<_>4 3 11 3 3.</_></rects>
<tilted>0</tilted></feature>
<threshold>1.3674780493602157e-003</threshold>
<left_val>-0.6001418232917786</left_val>
<right_val>0.2411836981773377</right_val></_></_>
<_>
<!-- tree 5 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>12 5 4 8 -1.</_>
<_>12 9 4 4 2.</_></rects>
<tilted>0</tilted></feature>
<threshold>1.0245250305160880e-003</threshold>
<left_val>-0.5854247212409973</left_val>
<right_val>0.1255010962486267</right_val></_></_>
<_>
<!-- tree 6 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>4 5 10 10 -1.</_>
<_>4 5 5 5 2.</_>
<_>9 10 5 5 2.</_></rects>
<tilted>0</tilted></feature>
<threshold>0.0184658598154783</threshold>
<left_val>0.1956356018781662</left_val>
<right_val>-0.6763023138046265</right_val></_></_>
<_>
<!-- tree 7 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>7 5 6 7 -1.</_>
<_>9 5 2 7 3.</_></rects>
<tilted>0</tilted></feature>
<threshold>4.0901508182287216e-003</threshold>
<left_val>-0.4491649866104126</left_val>
<right_val>0.2667768895626068</right_val></_></_>
<_>
<!-- tree 8 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>3 8 5 12 -1.</_>
<_>3 14 5 6 2.</_></rects>
<tilted>0</tilted></feature>
<threshold>0.0113580999895930</threshold>
<left_val>0.1878322958946228</left_val>
<right_val>-0.6137936115264893</right_val></_></_></trees>
<stage_threshold>-1.6378560066223145</stage_threshold>
<parent>0</parent>
<next>-1</next></_>
<_>
<!-- stage 2 -->
<trees>
<_>
<!-- tree 0 -->
<_>
<!-- root node -->
<feature>
<rects>
<_>5 3 9 9 -1.</_>
<_>5 6 9 3 3
没有合适的资源?快使用搜索试试~ 我知道了~
haarcascades---各种分类器xml文件
共22个文件
xml:22个
5星 · 超过95%的资源 需积分: 44 324 下载量 192 浏览量
2015-11-13
13:36:30
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可以在 opencv安装目录opencv\sources\data中找到。方便大家下载,故上传在这里。人脸检测,人脸识别,人眼检测,鼻子检测,嘴检测等等训练好的xml文件
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haarcascades.zip (22个子文件)
haarcascades
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
共 22 条
- 1
资源评论
- zsk5262018-03-15不错, 谢谢分享哦。
- yanyun662017-11-10为啥被smartscreen筛掉了呢?
- 程序猿小爱2018-08-15不错,好东西!!!
- pojing85542017-10-18找了好久,谢谢
- alphakm2017-04-01可以在windows10 python3.5.2下使用。
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