<?xml version="1.0"?>
<!--
Stump-based 20x20 frontal eye detector.
Created by Shameem Hameed (http://umich.edu/~shameem)
////////////////////////////////////////////////////////////////////////////////////////
IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
By downloading, copying, installing or using the software you agree to this license.
If you do not agree to this license, do not download, install,
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.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistribution's of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistribution's in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* The name of Intel Corporation may not be used to endorse or promote products
derived from this software without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are disclaimed.
In no event shall the Intel Corporation or contributors be liable for any direct,
indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
-->
<opencv_storage>
<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
<featureType>HAAR</featureType>
<height>20</height>
<width>20</width>
<stageParams>
<maxWeakCount>93</maxWeakCount></stageParams>
<featureParams>
<maxCatCount>0</maxCatCount></featureParams>
<stageNum>24</stageNum>
<stages>
<_>
<maxWeakCount>6</maxWeakCount>
<stageThreshold>-1.4562760591506958e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 0 1.2963959574699402e-01</internalNodes>
<leafValues>
-7.7304208278656006e-01 6.8350148200988770e-01</leafValues></_>
<_>
<internalNodes>
0 -1 1 -4.6326808631420135e-02</internalNodes>
<leafValues>
5.7352751493453979e-01 -4.9097689986228943e-01</leafValues></_>
<_>
<internalNodes>
0 -1 2 -1.6173090785741806e-02</internalNodes>
<leafValues>
6.0254341363906860e-01 -3.1610709428787231e-01</leafValues></_>
<_>
<internalNodes>
0 -1 3 -4.5828841626644135e-02</internalNodes>
<leafValues>
6.4177548885345459e-01 -1.5545040369033813e-01</leafValues></_>
<_>
<internalNodes>
0 -1 4 -5.3759619593620300e-02</internalNodes>
<leafValues>
5.4219317436218262e-01 -2.0480829477310181e-01</leafValues></_>
<_>
<internalNodes>
0 -1 5 3.4171190112829208e-02</internalNodes>
<leafValues>
-2.3388190567493439e-01 4.8410901427268982e-01</leafValues></_></weakClassifiers></_>
<_>
<maxWeakCount>12</maxWeakCount>
<stageThreshold>-1.2550230026245117e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 6 -2.1727620065212250e-01</internalNodes>
<leafValues>
7.1098899841308594e-01 -5.9360730648040771e-01</leafValues></_>
<_>
<internalNodes>
0 -1 7 1.2071969918906689e-02</internalNodes>
<leafValues>
-2.8240481019020081e-01 5.9013551473617554e-01</leafValues></_>
<_>
<internalNodes>
0 -1 8 -1.7854139208793640e-02</internalNodes>
<leafValues>
5.3137522935867310e-01 -2.2758960723876953e-01</leafValues></_>
<_>
<internalNodes>
0 -1 9 2.2333610802888870e-02</internalNodes>
<leafValues>
-1.7556099593639374e-01 6.3356137275695801e-01</leafValues></_>
<_>
<internalNodes>
0 -1 10 -9.1420017182826996e-02</internalNodes>
<leafValues>
6.1563092470169067e-01 -1.6899530589580536e-01</leafValues></_>
<_>
<internalNodes>
0 -1 11 2.8973650187253952e-02</internalNodes>
<leafValues>
-1.2250079959630966e-01 7.4401170015335083e-01</leafValues></_>
<_>
<internalNodes>
0 -1 12 7.8203463926911354e-03</internalNodes>
<leafValues>
1.6974370181560516e-01 -6.5441650152206421e-01</leafValues></_>
<_>
<internalNodes>
0 -1 13 2.0340489223599434e-02</internalNodes>
<leafValues>
-1.2556649744510651e-01 8.2710450887680054e-01</leafValues></_>
<_>
<internalNodes>
0 -1 14 -1.1926149949431419e-02</internalNodes>
<leafValues>
3.8605681061744690e-01 -2.0992340147495270e-01</leafValues></_>
<_>
<internalNodes>
0 -1 15 -9.7281101625412703e-04</internalNodes>
<leafValues>
-6.3761192560195923e-01 1.2952390313148499e-01</leafValues></_>
<_>
<internalNodes>
0 -1 16 1.8322050891583785e-05</internalNodes>
<leafValues>
-3.4631478786468506e-01 2.2924269735813141e-01</leafValues></_>
<_>
<internalNodes>
0 -1 17 -8.0854417756199837e-03</internalNodes>
<leafValues>
-6.3665801286697388e-01 1.3078659772872925e-01</leafValues></_></weakClassifiers></_>
<_>
<maxWeakCount>9</maxWeakCount>
<stageThreshold>-1.3728189468383789e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 18 -1.1812269687652588e-01</internalNodes>
<leafValues>
6.7844521999359131e-01 -5.0045782327651978e-01</leafValues></_>
<_>
<internalNodes>
0 -1 19 -3.4332759678363800e-02</internalNodes>
<leafValues>
6.7186361551284790e-01 -3.5744878649711609e-01</leafValues></_>
<_>
<internalNodes>
0 -1 20 -2.1530799567699432e-02</internalNodes>
<leafValues>
7.2220700979232788e-01 -1.8192419409751892e-01</leafValues></_>
<_>
<internalNodes>
0 -1 21 -2.1909970790147781e-02</internalNodes>
<leafValues>
6.6529387235641479e-01 -2.7510228753089905e-01</leafValues></_>
<_>
<internalNodes>
0 -1 22 -2.8713539242744446e-02</internalNodes>
<leafValues>
6.9955700635910034e-01 -1.9615580141544342e-01</leafValues></_>
<_>
<internalNodes>
0 -1 23 -1.1467480100691319e-02</internalNodes>
<leafValues>
5.9267348051071167e-01 -2.2097350656986237e-01</leafValues></_>
<_>
<internalNodes>
0 -1 24 -2.2611169144511223e-02</internalNodes>
<leafValues>
3.4483069181442261e-01 -3.8379558920860291e-01</leafValues></_>
<_>
<internalNodes>
0 -1 25 -1.9308089977130294e-03</internalNodes>
<leafValues>
-7.9445719718933105e-01 1.5628659725189209e-01</
没有合适的资源?快使用搜索试试~ 我知道了~
资源推荐
资源详情
资源评论
收起资源包目录
haarcascade_eye.zip (1个子文件)
haarcascade_eye.xml 333KB
共 1 条
- 1
资源评论
nownow_
- 粉丝: 357
- 资源: 29
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 全唐诗维护用Delphi操作SQLite数据库正则表达式提取诗句
- 源代码来自 Atlas,这是我们与澳门出口公司在 2019 年修订版中展示的 64k 演示.zip
- 大学生职业生涯规划书 (1).pptx
- 游戏恶魔城 DirectX - Nhập môn phát triển 游戏.zip
- 基于MATLAB的车牌识别实现车牌定位系统【GUI带界面】.zip
- <数据集>路面坑洼识别数据集<目标检测>
- 基于MATLAB的车牌识别实现车牌定位技术实现【带界面GUI】.zip
- 游戏引擎支持 DirectX 11.zip
- 基于MATLAB的车牌识别实现车牌定位代码【带界面GUI】.zip
- 基于SpringBoot+Vue的农产品直卖平台(前端代码)
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功