<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[yee_0217的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/yee_0217</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; yee_0217]]></copyright><item><title><![CDATA[C语言之字符串处理常用函数记录]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/127014126</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/127014126</guid><author>yee_0217</author><pubDate>Fri, 23 Sep 2022 16:52:58 +0800</pubDate><description><![CDATA[字符串处理常用函数记录]]></description><category></category></item><item><title><![CDATA[C语言之RSA2分段解密]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/126856214</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/126856214</guid><author>yee_0217</author><pubDate>Mon, 19 Sep 2022 16:00:18 +0800</pubDate><description><![CDATA[C语言之RSA2分段解密]]></description><category></category></item><item><title><![CDATA[C语言之使用memcpy函数实现小数组数据不覆盖地复制到大数组]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/126855834</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/126855834</guid><author>yee_0217</author><pubDate>Wed, 14 Sep 2022 16:58:37 +0800</pubDate><description><![CDATA[C语言之使用memcpy函数实现小数组数据不覆盖地复制到大数组中]]></description><category></category></item><item><title><![CDATA[C语言之一次性读取整个文件内容]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/126847454</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/126847454</guid><author>yee_0217</author><pubDate>Wed, 14 Sep 2022 10:21:07 +0800</pubDate><description><![CDATA[C语言之一次性读取整个文件内容]]></description><category></category></item><item><title><![CDATA[C语言之打印二进制流文件内容]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/126845873</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/126845873</guid><author>yee_0217</author><pubDate>Wed, 14 Sep 2022 09:19:22 +0800</pubDate><description><![CDATA[C语言打印二进制流数据]]></description><category></category></item><item><title><![CDATA[shell之openssl进行RSA加解密]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/125914045</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/125914045</guid><author>yee_0217</author><pubDate>Thu, 21 Jul 2022 16:24:32 +0800</pubDate><description><![CDATA[shell之openssl进行RSA加解密]]></description><category></category></item><item><title><![CDATA[shell之使用sed处理变量后存到另一个变量以及替换字符]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/125768042</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/125768042</guid><author>yee_0217</author><pubDate>Wed, 13 Jul 2022 17:04:31 +0800</pubDate><description><![CDATA[shell之使用sed处理变量后存到另一个变量以及替换字符]]></description><category></category></item><item><title><![CDATA[shell之拼接字符串]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/125759972</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/125759972</guid><author>yee_0217</author><pubDate>Wed, 13 Jul 2022 11:15:46 +0800</pubDate><description><![CDATA[shell之拼接字符串]]></description><category></category></item><item><title><![CDATA[shell之获取日期]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/125758960</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/125758960</guid><author>yee_0217</author><pubDate>Wed, 13 Jul 2022 10:41:11 +0800</pubDate><description><![CDATA[shell 获取日期的脚本]]></description><category></category></item><item><title><![CDATA[Python之string和bytes的相互转化]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/102973806</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/102973806</guid><author>yee_0217</author><pubDate>Fri, 08 Nov 2019 15:22:34 +0800</pubDate><description><![CDATA[1.string转bytes


s = 'hello world!'  #'hello world!'
#方法一
b = bytes(s,encoding='utf8')  #需要指定编码格式
#方法二
b=s.encode('utf8')

2.bytes转string


#b:b'hello world!'
#方法一
s = str(b，'utf8') 
#方法二
s = b.decode...]]></description><category></category></item><item><title><![CDATA[python之numpy中的tile函数]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/102815692</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/102815692</guid><author>yee_0217</author><pubDate>Wed, 30 Oct 2019 11:20:33 +0800</pubDate><description><![CDATA[Numpy的 tile() 函数，就是将原矩阵横向、纵向地复制。tile 是瓷砖的意思，顾名思义，这个函数就是把数组像瓷砖一样铺展开来。

举个例子，原矩阵：


mat = array([[1,2], [3, 4]])


横向：


tile(mat, (1, 4))
# 等同于
tile(mat, 4)






结果：


[[1 2 1 2 1 2 1 2]
 [3 4 3 4 3 ...]]></description><category></category></item><item><title><![CDATA[tensorflow的多分类函数用法]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/102704689</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/102704689</guid><author>yee_0217</author><pubDate>Wed, 23 Oct 2019 16:46:32 +0800</pubDate><description><![CDATA[1.tf.nn.softmax( logits, axis=None,name=None,dim=None )

作用：用于做softmax激活，相当于执行：softmax = tf.exp(logits) / tf.reduce_sum(tf.exp(logits), axis)

参数：

logits：一个非空的Tensor，是softmax之前的类别预测。必须是下列类型之一：half，f...]]></description><category></category></item><item><title><![CDATA[pickle的Python版本问题]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/102481360</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/102481360</guid><author>yee_0217</author><pubDate>Thu, 10 Oct 2019 14:56:14 +0800</pubDate><description><![CDATA[在不同Python版本生成的pickle文件不能跨版本直接调用，会报错。

python3-&gt;python2

在Python2中需要用到Python3生成的pickle时，需要在Python3中先将pickle保存为Python2适用版本（好拗口...）



然后再在Python2中读取。

Python2-&gt;python3

python3中需要用到Python2生成的pickl...]]></description><category></category></item><item><title><![CDATA[使用skip-thoughts提取句子特征]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/102476809</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/102476809</guid><author>yee_0217</author><pubDate>Thu, 10 Oct 2019 11:05:44 +0800</pubDate><description><![CDATA[我搜集了两种方法来实现，一种方法基于theano，另一种方法基于tensorflow。

方法一参考：

【1】https://github.com/ryankiros/skip-thoughts

【2】https://blog.youkuaiyun.com/qq_33373858/article/details/83928249

方法二参考：

【3】https://github.com/tensorf...]]></description><category></category></item><item><title><![CDATA[TRECVID(视频检索国际权威评测)简介]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/100147776</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/100147776</guid><author>yee_0217</author><pubDate>Thu, 29 Aug 2019 22:02:50 +0800</pubDate><description><![CDATA[【转】作者：Steven Wang| 可以转载, 转载时务必以超链接形式标明文章原始出处和作者信息及版权声明

最近看的论文的实验部分很多都使用了TRECVID提供的数据，于是把TRECVID研究了一番，收获颇大。

TRECVID是视频检索领域的国际权威评测。

TRECVID的由来如下：
TREC是一系列由美国国家标准技术研究所(National Institute of Standards ...]]></description><category></category></item><item><title><![CDATA[python之csv文件转化为tsv文件]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/100082916</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/100082916</guid><author>yee_0217</author><pubDate>Mon, 26 Aug 2019 17:53:29 +0800</pubDate><description><![CDATA[不需要导入任何库：csv和tsv的区别在于前者用逗号分隔数据，而后者用制表符。


with open('test.csv') as f:
    data = f.read().replace(',', '\t')
with open('test.tsv','w') as f:
    f.write(data)
"""
    用replace方法将,替换成\t
    然后在写入文件的时候...]]></description><category></category></item><item><title><![CDATA[python中自带的translate模块]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/100078909</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/100078909</guid><author>yee_0217</author><pubDate>Mon, 26 Aug 2019 15:30:42 +0800</pubDate><description><![CDATA[python提供了谷歌翻译的第三方包，可以实现多种语言之间的相互翻译。

translate包的下载地址：https://pypi.org/project/translate/

可以通过使用pip安装：


 pip install translate

使用代码示例：


# encoding: utf-8

from translate import Translator


# 以下是将简...]]></description><category></category></item><item><title><![CDATA[opencv-python 截取视频片段并显示]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/91447644</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/91447644</guid><author>yee_0217</author><pubDate>Tue, 11 Jun 2019 17:02:38 +0800</pubDate><description><![CDATA[这是为实现ABLR模型结果可视化写的一个demo。环境要求如下：

python3

opencv-python4.1.0

代码如下：


#coding=utf-8
import cv2
print(cv2.__version__)
#打开原完整视频
cap = cv2.VideoCapture(r'E:\深度学习\0605\src\model\s13-d21.avi')#打开视频
if no...]]></description><category></category></item><item><title><![CDATA[DenseCap源码实现]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/88698828</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/88698828</guid><author>yee_0217</author><pubDate>Thu, 21 Mar 2019 09:00:57 +0800</pubDate><description><![CDATA[安装Torch

在Ubuntu终端，输入：


git clone https://github.com/torch/distro.git ~/torch --recursive
cd ~/torch; bash install-deps;
./install.sh

接下来会提示是否把torch加入bashrc中，输入yes即可。 上面没有装git的要预先装好git。

安装Torch 依赖库...]]></description><category></category></item><item><title><![CDATA[MPEG音频编码实验报告]]></title><link>https://blog.youkuaiyun.com/yee_0217/article/details/74091837</link><guid>https://blog.youkuaiyun.com/yee_0217/article/details/74091837</guid><author>yee_0217</author><pubDate>Sun, 02 Jul 2017 10:29:31 +0800</pubDate><description><![CDATA[实验原理
下图为MPEG音频编码layerII流程图：


32个子带滤波器组：
通过子带分析滤波器组使信号具有高的时间分辨率，确保在短暂冲击信号情况下，编码的声音信号具有足够高的质量。
将PCM样本变换到32个子带的频域信号：如果输入的采样频率为48kHz ，那么子带的频率宽度为48/ （2*32 ）=0.75Hz

该多相滤波器组为如下图：




心理声学模型：]]></description><category></category></item></channel></rss>