<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[csdn文章已经很长时间未更新]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Jonms</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Jonms]]></copyright><item><title><![CDATA[Faster-RCNN之TypeError: 'numpy.float64' object cannot be interpreted as an index]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/88885340</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/88885340</guid><author>Jonms</author><pubDate>Fri, 29 Mar 2019 10:13:45 +0800</pubDate><description><![CDATA[在训练stage1 rpn时，出现’numpy.float64’ object cannot be interpreted as an index 的提示错误，几乎所有的博客中都指出，需要更换numpy 的版本，照做之后，出现ImportError: numpy.core.multiarray failed to import，这个问题又是numpy不匹配造成的，这样就形成了恶性循环，所以，可以考...]]></description><category></category></item><item><title><![CDATA[CNN已老，GNN来了]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/88375655</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/88375655</guid><author>Jonms</author><pubDate>Sun, 10 Mar 2019 10:43:37 +0800</pubDate><description><![CDATA[原文地址：https://www.huxiu.com/article/278413.html
注：第一次了解GNN，不知分享是好是坏，请见谅

]]></description><category></category></item><item><title><![CDATA[基于深度学习的目标检测技术演进：R-CNN、Fast R-CNN、Faster R-CNN]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/88296390</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/88296390</guid><author>Jonms</author><pubDate>Thu, 07 Mar 2019 12:36:46 +0800</pubDate><description><![CDATA[分享一篇很好的文章，原文地址：https://www.cnblogs.com/skyfsm/p/6806246.html

]]></description><category></category></item><item><title><![CDATA[face-py-faster-rcnn在Ubuntu16.04上的安装]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/88066618</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/88066618</guid><author>Jonms</author><pubDate>Fri, 01 Mar 2019 19:37:24 +0800</pubDate><description><![CDATA[概述
face-py-faster-rcnn在github上的项目环境是Python2的，如果是用Python3的环境的话，需要对源码进行修改，要改的太多就算了。我采用Anaconda2的Python环境来编译安装face-py-faster-rcnn。
安装环境

CUDA version: 9.0
cuDNN version: 7
gcc version: 5.4.0
Anaconda2
Py...]]></description><category></category></item><item><title><![CDATA[Python模块函数导入的几种姿势(下)]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/81027008</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/81027008</guid><author>Jonms</author><pubDate>Tue, 17 Jul 2018 22:27:48 +0800</pubDate><description><![CDATA[今天，我们分析下Python的导入机制分析。


常规导入(regular imports)


作为最常使用的导入方式，常规导入大致是这样的：



import sys

你需要做的就是使用”import”一词，然后指定你想要实际导入的模块或包。关于导入的好处是它也可以一次导入多个包



import os, sys, time

虽然这节省空间，但是却违背了Python风格指南。Pytho...]]></description><category></category></item><item><title><![CDATA[关于Scrapy在Win10上的安装问题]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80980360</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80980360</guid><author>Jonms</author><pubDate>Tue, 10 Jul 2018 09:16:44 +0800</pubDate><description><![CDATA[昨晚在Win10尝试安装scrapy的时候，遇到了很多问题。以前都是在linux下完成，倒是没觉得有这么多问题。

pip install -U scrapy pillow

1.Couldn’t find index page for ‘incremental’ (maybe misspelled?)

解决：pip install –upgrade setuptools

2.安装twiste...]]></description><category></category></item><item><title><![CDATA[浅析函数装饰器和闭包（二）]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80889186</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80889186</guid><author>Jonms</author><pubDate>Wed, 04 Jul 2018 19:22:42 +0800</pubDate><description><![CDATA[多数装饰器会修改被装饰的函数。通常，它们会定义一个内部函数，然后将其返回，替换被装饰的函数。使用内部函数的代码几乎都要靠闭包才能正确运行。为了理解闭包，我们要退后一步，先了解Python中的变量作用域


变量作用域规则


举个例子来说 
...]]></description><category></category></item><item><title><![CDATA[浅析函数装饰器和闭包（一）]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80888604</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80888604</guid><author>Jonms</author><pubDate>Mon, 02 Jul 2018 20:07:41 +0800</pubDate><description><![CDATA[函数装饰器用于在源码中”标记”函数，以某种方式增强函数的行为。这是一项强大的功能，但是若想掌握，必须理解闭包。


装饰器基础知识


装饰器是可调用的对象，其参数是另一个函数(被装饰的函数)。装饰器可能会处理被装饰的函数，然后把它返回，或者将其替换成另一个函数或可调用对象。

假如有个名为decorate的装饰器：



@decorate
def target():
    print(&quot;ru...]]></description><category></category></item><item><title><![CDATA[什么是可散列的数据类型]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80881709</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80881709</guid><author>Jonms</author><pubDate>Mon, 02 Jul 2018 12:21:27 +0800</pubDate><description><![CDATA[在Python词汇表(https://docs.python.org/3/glossary.html#term-hashable)中，关于可散列类型的定义有这样一段话：


如果一个对象是可散列的，那么在这个对象的生命周期中，它的散列值是不变的，而且这个对象需要实现__hash__()方法。另外可散列对象还要有__eq__()方法，这样才能跟其他键做比较。如果两个可散列对象是相等，那么它们的散列值...]]></description><category></category></item><item><title><![CDATA[浅析Python列表推导及变量泄露问题]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80726686</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80726686</guid><author>Jonms</author><pubDate>Mon, 18 Jun 2018 22:53:56 +0800</pubDate><description><![CDATA[列表推导是构建列表的快捷方式。很多Python程序员都把列表推导 (list comprehension)简称为listcomps。

-*可读性 
参考: Fluent Python by Luciano Ramalho (O’Reilly). Copyright  
2015 Luciano Ramalho, 978-1-491-94600-8....]]></description><category></category></item><item><title><![CDATA[Python版本切换与虚拟环境管理]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80707310</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80707310</guid><author>Jonms</author><pubDate>Fri, 15 Jun 2018 18:47:45 +0800</pubDate><description><![CDATA[1.

2.

3.

参考链接: 
*   [1] https://zhuanlan.zhihu.com/p/27294128 
*   [2]https://github.com/pyenv/pyenv 
*   [3]https://stackoverflow.com/questions/37227854/pyenv-build-failed-ubuntu-15-04-using-pytho...]]></description><category></category></item><item><title><![CDATA[OpenCV在Ubuntu16.04上的安装]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80592299</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80592299</guid><author>Jonms</author><pubDate>Wed, 06 Jun 2018 12:11:06 +0800</pubDate><description><![CDATA[这几天在搞比赛的事，期间涉及了OpenCV的安装，特此记录下来。 
我在安装OpenCV时，总是把OpenCV安装到Python2，而不是Python3。后面我基于Anaconda3的虚拟环境，成功安装了OpenCV。

安装Anaconda3，创建虚拟环境

conda create --name faster-rcnn-py36 python=3.6



激活虚拟环境：

source ac...]]></description><category></category></item><item><title><![CDATA[如何判断素数（C++版）]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80464622</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80464622</guid><author>Jonms</author><pubDate>Tue, 05 Jun 2018 09:00:59 +0800</pubDate><description><![CDATA[1.对于判断一个数n是否为素数，最朴素的方法是按素数的定义，试除以从2开始到m-1的整数，如果无一例外地不能整除，则该数一定是素数。

#include &amp;amp;amp;amp;amp;lt;iostream&amp;amp;amp;amp;amp;gt;
using namespace std;

int main(){
    int n;
    cin &amp;amp;amp;amp;amp;gt;&amp;amp;amp;amp;amp;gt; n;
    for(int i=2; ]]></description><category></category></item><item><title><![CDATA[百度大牛总结十道Python面试问题陷阱]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80571344</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80571344</guid><author>Jonms</author><pubDate>Mon, 04 Jun 2018 18:44:38 +0800</pubDate><description><![CDATA[无论是应聘Python web开发，爬虫工程师，或是数据分析，还是自动化运维，都涉及到一些基础的知识！我挑了一些Python的基础面试题，看看你能不能的答上来，也许面试的同学用的着！

问题1：请问如何修改以下Python代码，使得下面的代码调用类A的show方法？ 
 
答：这道题的考点是类继承，只要通过__class__方法指定类对象就可以了。补充的代码如下： 


问题2：请问如何修改以下P...]]></description><category></category></item><item><title><![CDATA[Keras问题总结]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80381438</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80381438</guid><author>Jonms</author><pubDate>Sun, 20 May 2018 12:46:15 +0800</pubDate><description><![CDATA[环境：Win10、Anaconda3、Tensorflow-gpu 1.5.0、Keras 2.1.6 
1. ImportError: Failed to import pydot. Please install pydot. For example with pip install pydot.  
正如错误信息所提示的那样，用pip安装pydot即可

pip install pydot

...]]></description><category></category></item><item><title><![CDATA[在C语言中，使用后缀形式的++或--时，何时执行自增或自减操作？]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80361513</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80361513</guid><author>Jonms</author><pubDate>Fri, 18 May 2018 11:02:44 +0800</pubDate><description><![CDATA[让我们先看一段代码



i = 1
printf(&amp;quot;i is %d\n&amp;quot;, i++); // prints &amp;quot;i is 1&amp;quot;
printf(&amp;quot;i is %d\n&amp;quot;, i);   // prints &amp;quot;i is 2&amp;quot;



1. C语言标准引入了“顺序点”的概念，并且指出“应该在前一个顺序点和下一个顺序点之间对存储的操作数的值进行更新”。在C语言中有多种不同类型的顺]]></description><category></category></item><item><title><![CDATA[Windows10安装CUDA9、cuDNN7、Tensorflow1.5]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80330239</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80330239</guid><author>Jonms</author><pubDate>Tue, 15 May 2018 22:18:45 +0800</pubDate><description><![CDATA[Windows10上cuda的安装比Linux要简单得多，让我们来看看吧。

1.首先下载cuda9.0和cudnn7软件包 
到官网下载cuda9.0 
 
如果下载cuda时出现以下情况，则需要翻墙下载。或者可以从我的百度云链接下载cuda 
 
百度云链接：https://pan.baidu.com/s/1xauBu0I8OuPLyTqlGWSGcw，密码：biwv 
cudnn的下载也是一...]]></description><category></category></item><item><title><![CDATA[安装Tensorflow的几种姿势]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/80086881</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/80086881</guid><author>Jonms</author><pubDate>Thu, 26 Apr 2018 12:29:13 +0800</pubDate><description><![CDATA[参考文章链接: 
https://blog.youkuaiyun.com/u013832707/article/details/73161071

1. 安装环境


System version: Ubuntu16.04 LTS
Cuda version: 9.1、Cudnn version: 7.0
Anaconda
gcc、g++ version: 5.4




2. 从源码安装(实在迫不得己，不推荐...]]></description><category></category></item><item><title><![CDATA[Logistic实现猫分类器]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/79937267</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/79937267</guid><author>Jonms</author><pubDate>Thu, 19 Apr 2018 18:54:11 +0800</pubDate><description><![CDATA[Logistic regression is a learning algorithm used in a supervised learning problem when the output y are 
all either zero or one. The goal of logistic regression is to minimize the error between its pr...]]></description><category></category></item><item><title><![CDATA[列表：Python的"苦力"]]></title><link>https://blog.youkuaiyun.com/Jonms/article/details/79805253</link><guid>https://blog.youkuaiyun.com/Jonms/article/details/79805253</guid><author>Jonms</author><pubDate>Tue, 03 Apr 2018 20:39:13 +0800</pubDate><description><![CDATA[列表可以使用所有适用于序列的标准操作，例如索引、分片、连接和乘法。有趣的是，列表是可以修改的，而元组却不行。下面来简单介绍下基本的列表操作和列表方法。



列表操作



1. 元素赋值

改变列表是很容易的，使用索引标记来为某个特定的、位置明确的元素赋值。

&amp;amp;gt;&amp;amp;gt;&amp;amp;gt; exp = [1, 1, 1]
&amp;amp;gt;&amp;amp;gt;&amp;amp;gt; exp[1] = 6
&amp;amp;gt;&amp;amp;gt]]></description><category></category></item></channel></rss>