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原创 ubuntu18.04合并pdf文件

以前使用pdftk比较常见,但是pdftk的更新似乎没有跟上,改用pdfunite轻松解决。

2022-10-09 08:42:12 382

原创 Opencv3 core模块解析之Mat类(3)

系列文章目录Opencv3 core模块解析之convertToOpencv3 core模块解析之Mat类(2)Opencv3 core模块解析之Mat类(1)Opencv3 core模块解析之Mat类(2)文章目录系列文章目录 前言 一、pandas是什么? 二、使用步骤 1.引入库 2.读入数据 总结前言总结一下cv::Mat 中的引用计数。一、引用计数是什么?引用计数是计算机编程语言中的一种内存管理技术,是指将资源(可以是对象、内.

2022-04-07 12:03:53 3390

原创 Opencv3 core模块解析之Mat类(2)

cv::UMat 类这个类文档里没有任何描述,看来作者不想让opencv用户直接使用。观察一下,Mat类的成员,UMat基本都有,但是UMat和Mat没有继承关系,是独立的实现。那么,UMat和InputArray的关系呢,UMat没有那些以Mat、GpuMat等作为参数的构造函数,显然做不了代理类的事情,但是反过来,有_OutputArray(constMat&m),_OutputArray(UMat&m),_InputArray(constUMat&um),那么...

2022-03-30 10:51:46 3328

原创 Opencv3 core模块解析之Mat类(1)

在阅读opencv文档和源码时,常常看到InputArray、OutputArray、UMat、Mat_等“奇怪”的类,与我们常用的Mat,好像一样又不完全一样,这些其实主要在opencv内部用,其中有些文档都很少甚至没有,在opencv外部程序还是Mat主打。另外还有Mat的成员create(),copyTo(),clone(),data,empty()等,到底有哪些使用中的注意事项。本文通过源码解析一下。

2022-03-24 22:13:04 4684

原创 Opencv3 core模块解析之convertTo

首先,找到文档,点击Modules,点击Core functionality,点击Basic structures,点击class Mat。◆convertTo()void convertTo( OutputArray m, int rtype, double alpha=1, double beta=0 ) const;The method converts source pixel values to the target data type. saturate_cast<>.

2022-03-22 14:16:33 4181

原创 Win10系统c盘清理

windows 10系统使用,C盘空间清理。

2022-03-14 09:20:41 1711

原创 QT找不到c++头文件的解决

因为跨平台,经常在不同操作系统切换,编译QT的cpp代码时,有时会找不到iostream,string这些编译器自带头文件。解决办法是:左侧“项目”——Build(构建设置)——构建环境——勾选“清除系统环境变量”。重新qmake,构建。...

2021-10-30 12:25:31 11829 1

转载 编写优秀C语言程序代码的十大秘籍 zz

   神乎其技,惟C程序,功到自成,十大建议!  1、汝应频繁催动lint工具,据其语法声明修习内力,此事皆因lint之思虑决断实远在君上。  2、不可依随NULL指针,如若不然,混沌痴颠必俟君于彼岸。  3、纵有天赋大智慧,知晓其事无碍,汝亦当尽数强制挪移函数参数为原型所期之数据类型,以免一时疏忽,致使数据类型向汝讨还血债。  4、若头文件未于函数原型之

2009-11-18 21:38:00 615

原创 配置 Ubuntu

1   光盘安装    从 windows 下 wubi 安装2   连接网络    配置宽带连接:系统 --- 首选项 ----network configuration    网通:进入 DSL,添加用户名,密码    内网:portal & vpn 安装3   更改源    sudo gedit /etc/apt/sources.list    后面加上deb http://ubuntu.u

2009-08-09 09:44:00 2402

[Raschka]_Python_Machine_Learning(Book4You).pdf

Machine learning is eating the software world, and now deep learning is extending machine learning. This second edition of Sebastian Raschka’s bestselling book, Python Machine Learning, is now thoroughly updated using the latest Python open source libraries, so that you can understand and work at the cutting-edge of machine learning, neural networks, and deep learning. This highly acclaimed book has been modernized to include the popular TensorFlow deep learning library, essential coverage of the Keras neural network library, and the latest scikit-learn machine learning library updates. The result is a new edition of this classic book at the cutting edge of deep learning and machine learning. If you’re new to machine learning, you’ll find that this edition offers the techniques you need to create machine learning and deep learning applications. Raschka and Mirjalili introduce you to machine learning and deep learning algorithms from scratch, and if you read the first edition of this book, you’ll be delighted to find a new balance of classical and modern ideas.

2019-05-14

BURAI 1.2 – a GUI for Quantum Espresso

It’s a remarkable GUI for Quantum Espresso. You can build the input file using it’s intuitive and easy to use Graphical Interface. Then the results are also very neatly shown, like the Band Structure, Density of States, etc. The best part is it comes with Quantum Espresso included, so it can run all the Quantum Espresso calculations, and show you the results. BURAI is available for Windows as well as MAC OS X.

2018-11-02

GNU scientific library gsl-2.1

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. It is free software under the GNU General Public License. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.

2016-06-27

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