<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[FireMicrocosm的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/FireMicrocosm</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; FireMicrocosm]]></copyright><item><title><![CDATA[Python_制作中文词云]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/81067003</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/81067003</guid><author>FireMicrocosm</author><pubDate>Mon, 16 Jul 2018 16:26:25 +0800</pubDate><description><![CDATA[准备工作：

安装 jieba 中文分词工具

安装 wordcloud 词云生成工具

下载地址：https://www.lfd.uci.edu/~gohlke/pythonlibs/

在命令行执行： pip install name.whl 完成安装

准备txt文档一份，准备词云形状背景一张, 我直接从网上查询复制李白诗歌几首如下：

李白 李白 李白 李白 李白 李白 李白 李白 李白 ...]]></description><category></category></item><item><title><![CDATA[理解向量vector的一些实现细节]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78350152</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78350152</guid><author>FireMicrocosm</author><pubDate>Thu, 26 Oct 2017 10:15:16 +0800</pubDate><description><![CDATA[#include 

using namespace std;

enum ErrorType
{
	invalidArraySize, memoryAllocFail, indexOutOfRange
};

const char*ErrorList[]={"invalidArraySize","memoryAllocFail","indexOutOfRange"};

template 
cl]]></description><category></category></item><item><title><![CDATA[冒泡--选择--插入--希尔排序]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78345061</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78345061</guid><author>FireMicrocosm</author><pubDate>Wed, 25 Oct 2017 19:03:32 +0800</pubDate><description><![CDATA[#include 
#include 
#include 

using namespace std;

template 
void print(const T *A, int n)
{
	for(int i=0; i<n; i++)
		cout << A[i] << " ";
	cout << endl;
}

template
void swapN(T &a, T &b)
{
	T tmp]]></description><category></category></item><item><title><![CDATA[快速排序与堆排序]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78322077</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78322077</guid><author>FireMicrocosm</author><pubDate>Mon, 23 Oct 2017 19:12:53 +0800</pubDate><description><![CDATA[快速排序：
稳定的排序，总是将首元素当作枢轴元素，将数组进行划分，然后递归调用，时间复杂度
为nlogn;

#include 
using namespace std;

template
void quickSort(T *array, int n)
{
	if(n<=1)
		return;
	
	T *minArray = new T[n];
	T *maxArray= new T]]></description><category></category></item><item><title><![CDATA[3D目标识别---三维局部坐标系(LRF)性能分析]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78060686</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78060686</guid><author>FireMicrocosm</author><pubDate>Fri, 22 Sep 2017 11:00:32 +0800</pubDate><description><![CDATA[1  加权局部参考坐标系的定义以任意一个特征点pp及其邻域S(p)S(p)为例来说明基于加权协方差矩阵的局部参考坐标系LRF的建立过程。 
C=1∑ni=1wi∑i=1nwi(q−p)(q−p)T,,q∈S(p)C =\frac{1}{\sum_{i=1}^{n}w_{i}}\sum_{i=1}^{n}w_{i}(q-p)(q-p)^{T},,q\in{S(p)} 
CV=EVCV=EV 
局部参考]]></description><category></category></item><item><title><![CDATA[3D目标识别---局部特征描述子介绍]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78059151</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78059151</guid><author>FireMicrocosm</author><pubDate>Fri, 22 Sep 2017 09:11:01 +0800</pubDate><description><![CDATA[1. 3D识别的流程图




2. 局部特征描述子
Spin Image

统计的是在特征点局部圆柱坐标系下的领域点2D坐标分布直方图特征。如下图所示，圆柱坐标系由特征点p的法向量n以及切平面构成。点
p的所有球形领域点q在圆柱坐标系下的坐标分布形成一个2D的Points分布图，然后离散化得到spin image。离散的过程会通过双线性插值的
方式平滑每个点的作用，是的该描述]]></description><category></category></item><item><title><![CDATA[Python爬虫利器之Beautiful Soup的用法]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78023111</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78023111</guid><author>FireMicrocosm</author><pubDate>Mon, 18 Sep 2017 20:03:59 +0800</pubDate><description><![CDATA[http://cuiqingcai.com/1319.html]]></description><category></category></item><item><title><![CDATA[python 与 3D 可视化----（1）]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78014005</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/78014005</guid><author>FireMicrocosm</author><pubDate>Sun, 17 Sep 2017 22:04:37 +0800</pubDate><description><![CDATA[Python 利用 traits 属性封装的VTK 可视化库 tvtk 进行3D可视化编程，十分方便。在Python 3.6 版本下进行可视化编程需要依次安装
下列库：
VTK-7.1.1-cp36-cp36m-win_amd64.whl
numpy-1.12.1+mkl-cp36-cp36m-win_amd64.whl
traits-4.6.0-cp36-cp36m-win_amd64.]]></description><category></category></item><item><title><![CDATA[Pyhont 正则化模块常用操作]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/77981627</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/77981627</guid><author>FireMicrocosm</author><pubDate>Thu, 14 Sep 2017 16:06:36 +0800</pubDate><description><![CDATA[# 导入正则表达式模块
import re

# 常用元字符
# [] 字符限制级
r = r"x[abc]x"  #中括号内出现任意字符即可
r = r"[0-9]"  # ===>r"\d"   \D
r = r"[a-zA-Z0-9_]"  # ===> r"\w" \W表示取反
r = r"[a-zA-z]"  # ===> r"\s"

# ^ 取反
r = r"[^abc]" # 除了]]></description><category></category></item><item><title><![CDATA[PCL 中 pcl::PointCloud<pcl::PointXYZRGBA>::ConstPtr 出现incomplete type is not allowed 的解决方法]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/77968110</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/77968110</guid><author>FireMicrocosm</author><pubDate>Wed, 13 Sep 2017 16:51:33 +0800</pubDate><description><![CDATA[当头文件仅仅包含 #include  
可能出现上述错误
解决方法：
再包含 #include 即可
因为点云类型都是在这里面定义的。]]></description><category></category></item><item><title><![CDATA[64-bit mex files using sparse matrices must be rebuilt with the "-largeArrayDims" option.]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/77746401</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/77746401</guid><author>FireMicrocosm</author><pubDate>Thu, 31 Aug 2017 14:48:35 +0800</pubDate><description><![CDATA[maltab 中提示上述错误的解决方案
mex -O -largeArrayDims file_name.cpp 重新编译即可]]></description><category></category></item><item><title><![CDATA[PCL 中KdTree的bug]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/77088358</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/77088358</guid><author>FireMicrocosm</author><pubDate>Fri, 11 Aug 2017 10:14:13 +0800</pubDate><description><![CDATA[使用开源3D点云库进行特征匹配的时候，KdTree 处理pcl::Histogram数据时距离平方值计算出错，此原因尚未查明!!!
pcl::search::KdTree> kd;
kd.setInputCloud(model_descriptor);
std::vector idx;
std::vector dst;
kd.nearestKSearch(scene_descriptor->po]]></description><category></category></item><item><title><![CDATA[计算机视觉、机器学习相关领域论文和源代码大集合]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51746367</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51746367</guid><author>FireMicrocosm</author><pubDate>Thu, 23 Jun 2016 20:03:55 +0800</pubDate><description><![CDATA[http://blog.youkuaiyun.com/zouxy09/article/details/8550952]]></description><category></category></item><item><title><![CDATA[MATLAB绘制3D隐函数曲面的方法总结]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51741778</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51741778</guid><author>FireMicrocosm</author><pubDate>Thu, 23 Jun 2016 11:05:46 +0800</pubDate><description><![CDATA[http://www.ilovematlab.cn/thread-264471-1-1.html
(出处: MATLAB中文论坛)


背景介绍
Matlab提供了一系列绘图函数，常见的包括绘制2D曲线的plot函数、绘制2D隐函数曲线的ezplot函数、绘制3D曲面的mesh和surf函数、绘制3D显函数曲面的ezmesh和ezsurf函数。值得注意的是，ez系列的绘图函数里只有ezp]]></description><category></category></item><item><title><![CDATA[很全很强大的图形学相关的论文和源码]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51727893</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51727893</guid><author>FireMicrocosm</author><pubDate>Tue, 21 Jun 2016 15:46:29 +0800</pubDate><description><![CDATA[很全很强大的图形学相关的论文和源码：





Computer Graphics Research Software




Helping you avoid re-inventing the wheel since 2009!










Last updated December 5, 2012.
Try searching this ]]></description><category></category></item><item><title><![CDATA[OpenCV的最近邻开源库FLANN]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51505369</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51505369</guid><author>FireMicrocosm</author><pubDate>Thu, 26 May 2016 11:02:44 +0800</pubDate><description><![CDATA[标签：计算机视觉

FLANN介绍
FLANN库全称是Fast Library for Approximate Nearest Neighbors，它是目前最完整的（近似）最近邻开源库。不但实现了一系列查找算法，还包含了一种自动选取最快算法的机制。
flann::Index_类
该类模板是最近邻索引类，该类用于抽象不同类型的最近邻搜索的索引。 
以下是flann::Index_类的声明]]></description><category></category></item><item><title><![CDATA[Boost 中的智能指针]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51505293</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51505293</guid><author>FireMicrocosm</author><pubDate>Thu, 26 May 2016 10:56:44 +0800</pubDate><description><![CDATA[这篇文章主要介绍 boost中的智能指针的使用。

    内存管理是一个比较繁琐的问题，C++中有两个实现方案： 垃圾回收机制和智能指针。垃圾回收机制因为性能等原因不被C++的大佬们推崇， 而智能指针被认为是解决C++内存问题的最优方案。

1. 定义

     一个智能指针就是一个C++的对象， 这对象的行为像一个指针，但是它却可以在其不需要的时候自动删除。注意这个“其不需要的时]]></description><category></category></item><item><title><![CDATA[matlab 读取文件数据的方式]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51204460</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/51204460</guid><author>FireMicrocosm</author><pubDate>Wed, 20 Apr 2016 21:51:01 +0800</pubDate><description><![CDATA[下面链接到的博客详细的介绍了matlab 从各种文件中读取数据的方式
http://www.cnblogs.com/xianghang123/archive/2011/12/06/2277602.html]]></description><category></category></item><item><title><![CDATA[pycaffe 中遇到的一些不能运行的问题的解决办法]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/50956838</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/50956838</guid><author>FireMicrocosm</author><pubDate>Tue, 22 Mar 2016 19:40:22 +0800</pubDate><description><![CDATA[遇到无法识别google.protobuf]]></description><category></category></item><item><title><![CDATA[python 进行caffe 数据可视化的 “No to_python (by-value)” 问题解决]]></title><link>https://blog.youkuaiyun.com/FireMicrocosm/article/details/50952427</link><guid>https://blog.youkuaiyun.com/FireMicrocosm/article/details/50952427</guid><author>FireMicrocosm</author><pubDate>Tue, 22 Mar 2016 10:01:15 +0800</pubDate><description><![CDATA[使用python 进行caffe 数据可视化的时候可能会遇到下面的错误：
No to_python (by-value) converter found for C++ type: boost::shared_ptr > 
No to_python (by-value) converter found for C++ type: boost::shared_ptr > 
No to_pyth]]></description><category></category></item></channel></rss>