<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[why的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/u013580397</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; u013580397]]></copyright><item><title><![CDATA[Mysql8.0忘记 root 密码, 如何修改?]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/89817347</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/89817347</guid><author>u013580397</author><pubDate>Sat, 04 May 2019 20:19:47 +0800</pubDate><description><![CDATA[Windows 中, Mysql 8.0 修改密码过程和 Mysql 5.6 及之前的版本有所区别.


首先, 在管理员权限 CMD 中用 net stop mysql 关闭服务, 并以以下命令行开启服务, 并绕过权限检查
mysqld --console --skip-grant-tables --shared-memory



然后, 启动另一个 CMD 命令行, 输入 mysql -u ...]]></description><category></category></item><item><title><![CDATA[定点数编程]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/80878213</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/80878213</guid><author>u013580397</author><pubDate>Sun, 01 Jul 2018 22:20:35 +0800</pubDate><description><![CDATA[翻译自 Fixed Point Arithmetic on the ARM




翻译自 Fixed Point Arithmetic on the ARM
介绍
定点算法原理
指数变化
加法和减法
乘法
除法
平方根
溢出


实例
信号处理
图像处理
总结


C 程序
使用汇编编程








介绍

本应用笔记介绍了如何使用ARM C编译器和ARM或Thumb汇编器编写高效的定点算术...]]></description><category></category></item><item><title><![CDATA[读 CVPR-2018 Through-Wall Human Pose Estimation Using Radio Signals]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/80706626</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/80706626</guid><author>u013580397</author><pubDate>Fri, 15 Jun 2018 18:00:05 +0800</pubDate><description><![CDATA[功能

利用无线信号对人体姿势进行检测。因为人体信号能穿墙，所以即使人被遮挡也能起作用。 
Paper 
Demo

特点


无法对无线信号进行标注，所以通过同步的视频信号提取人体姿势信息来，再完成监督无线信号到姿势信息的训练。训练完成后，就可以直接由无线信号得到人体姿势信息。
训练数据只有视线范围内能直接观察到人的数据，但训练完成后，即使人不在视线范围内也能被检测出来。
相对于从图像得到人体姿...]]></description><category></category></item><item><title><![CDATA[Ubuntu 中头文件路径设置 / muduo 库编译]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/80427982</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/80427982</guid><author>u013580397</author><pubDate>Wed, 23 May 2018 23:13:02 +0800</pubDate><description><![CDATA[配置



配置 include 头文件路径


#include &amp;quot;*.h&amp;quot; 表示先再当前工程目录下查找头文件，如果没有再按标准方式查找；常用于用户自定义头文件的查找。
#include &amp;amp;lt;*.h&amp;amp;gt; 表示按照标准方式查找头文件，即直接到系统指定的某些目录中去找某些头文件。
$ cpp -v 可用于查找系统指定的头文件路径。
gcc -l 可以指定头文件路径。
可在 /etc/prof...]]></description><category></category></item><item><title><![CDATA[sql]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/79440731</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/79440731</guid><author>u013580397</author><pubDate>Sun, 04 Mar 2018 22:51:34 +0800</pubDate><description><![CDATA[SQL 语句简记

创建/删除 数据库 ( mysqladmin 之间没有空格)：

~$ mysqladmin -u root -p create database_name
~$ mysqladmin -u root -p drop database_name



登陆/退出 mysql：

~$ mysql -u root -p
mysql&amp;gt; exit



选择 数据库：

mys...]]></description><category></category></item><item><title><![CDATA[cs231n 笔记 --- 训练配置细节]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/78635728</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/78635728</guid><author>u013580397</author><pubDate>Sun, 26 Nov 2017 11:22:22 +0800</pubDate><description><![CDATA[交叉验证，梯度弥散于梯度爆炸，激活函数，数据预处理，权重初始化，Batch Normalization]]></description><category></category></item><item><title><![CDATA[keras模型基础概念]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/78617201</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/78617201</guid><author>u013580397</author><pubDate>Thu, 23 Nov 2017 23:15:30 +0800</pubDate><description><![CDATA[keras模型基础概念]]></description><category></category></item><item><title><![CDATA[深度学习-目标检测]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/78588110</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/78588110</guid><author>u013580397</author><pubDate>Mon, 20 Nov 2017 23:39:09 +0800</pubDate><description><![CDATA[目标检测，实例分割的模型总结]]></description><category></category></item><item><title><![CDATA[v2ex小程序]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/78547368</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/78547368</guid><author>u013580397</author><pubDate>Thu, 16 Nov 2017 09:36:59 +0800</pubDate><description><![CDATA[v2ex小程序]]></description><category></category></item><item><title><![CDATA[深度学习-分类卷积网络]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/78515993</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/78515993</guid><author>u013580397</author><pubDate>Sun, 12 Nov 2017 22:46:33 +0800</pubDate><description><![CDATA[总结分类卷积网]]></description><category></category></item><item><title><![CDATA[深度学习-语义分割总结]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/78508392</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/78508392</guid><author>u013580397</author><pubDate>Sat, 11 Nov 2017 20:19:50 +0800</pubDate><description><![CDATA[翻译自qure.ai
什么是语义分割对图片的每个像素都做分类。较为重要的语义分割数据集有：VOC2012 以及 MSCOCO 。
有哪几种方法传统机器学习方法：如像素级的决策树分类，参考TextonForest 以及 Random Forest based classifiers 。再有就是深度学习方法。更确切地说，是卷积神经网络。深度学习最初流行的分割方法是，打补丁式的分类方法 ( patch c]]></description><category></category></item><item><title><![CDATA[统计学习方法-学习总结]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/77740506</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/77740506</guid><author>u013580397</author><pubDate>Thu, 31 Aug 2017 11:05:23 +0800</pubDate><description><![CDATA[统计学习方法-李航；监督学习，非监督学习，半监督学习，强化学习。
感知器，k近邻，kNN，朴素贝叶斯，决策树，逻辑回归，最大熵模型，支持向量机，SVM，提升方法，Adaboost，提升树，EM算法，隐马尔科夫模型，HMM，条件随机场，CRF。]]></description><category></category></item><item><title><![CDATA[窗口命名（tkinter，Python3.x）]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/53418777</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/53418777</guid><author>u013580397</author><pubDate>Thu, 01 Dec 2016 10:08:10 +0800</pubDate><description><![CDATA[窗口命名]]></description><category></category></item><item><title><![CDATA[结构字符串（tkinter，Python3.x）]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/53418500</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/53418500</guid><author>u013580397</author><pubDate>Thu, 01 Dec 2016 09:43:59 +0800</pubDate><description><![CDATA[结构字符串是用来：指定 top-level window 在桌面上显示的大小和位置。]]></description><category></category></item><item><title><![CDATA[图片（tkinter，Python3.x）]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/53320823</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/53320823</guid><author>u013580397</author><pubDate>Thu, 24 Nov 2016 15:21:59 +0800</pubDate><description><![CDATA[在 tkinter 应用中显示图片]]></description><category></category></item><item><title><![CDATA[光标（tkinter，Python3.x）]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/53302561</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/53302561</guid><author>u013580397</author><pubDate>Wed, 23 Nov 2016 11:15:19 +0800</pubDate><description><![CDATA[光标]]></description><category></category></item><item><title><![CDATA[位图（tkinter，Python3.x）]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/53284201</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/53284201</guid><author>u013580397</author><pubDate>Tue, 22 Nov 2016 11:53:45 +0800</pubDate><description><![CDATA[位图]]></description><category></category></item><item><title><![CDATA[浮标样式（tkinter，Python3.x）]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/53261696</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/53261696</guid><author>u013580397</author><pubDate>Mon, 21 Nov 2016 17:38:44 +0800</pubDate><description><![CDATA[插件的浮标样式（relief style）]]></description><category></category></item><item><title><![CDATA[Anchors（tkinter，Python3.x）]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/53227585</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/53227585</guid><author>u013580397</author><pubDate>Sat, 19 Nov 2016 09:39:46 +0800</pubDate><description><![CDATA[Anchors]]></description><category></category></item><item><title><![CDATA[字体（tkinter，Python3.x）]]></title><link>https://blog.youkuaiyun.com/u013580397/article/details/53219662</link><guid>https://blog.youkuaiyun.com/u013580397/article/details/53219662</guid><author>u013580397</author><pubDate>Fri, 18 Nov 2016 17:25:32 +0800</pubDate><description><![CDATA[字体]]></description><category></category></item></channel></rss>