<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[JarvisLau的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/JarvisLau</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; JarvisLau]]></copyright><item><title><![CDATA[模拟退火算法c++]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939146</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939146</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:59 +0800</pubDate><description><![CDATA[转载. 为方便理解, 在原博客的基础上加部分注释, 原博客地址:http://www.cnblogs.com/CsOH/p/6049117.html
 
今天终于用模拟退火过了一道题：CodeVS: P1344。

有 N (  P2 -> P3 -> ... -> PN 找出 |P1P2|+|P2P3|+...+|PN-1PN| 长度的最小值)

　　这种问题被称为最优组合问题。传统的动态规划算]]></description><category></category></item><item><title><![CDATA[yolo源码解析(2):处理图片]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939145</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939145</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:57 +0800</pubDate><description><![CDATA[首先安装ffmpeg, 参考https://blog.youkuaiyun.com/lwgkzl/article/details/77836207
然后将视频切分为图片, 参考:https://zhuanlan.zhihu.com/p/31637663, 执行有错误, 可以用下面这个方法, 此方法可以供参考
参考https://blog.youkuaiyun.com/stone8761/article/details/3]]></description><category></category></item><item><title><![CDATA[yolo源码解析(1):代码逻辑]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939143</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939143</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:54 +0800</pubDate><description><![CDATA[一. 整体代码逻辑
yolo中源码分为三个部分,\example,\include,以及\src文件夹下都有源代码存在.
结构如下所示

├── examples
│   ├── darknet.c(主程序)
│   │── xxx1.c
│   └── xxx2.c
│
├── include
│   ├── darknet.h
│ 
│ 
├── Makefile
│ 
│ 
└── src
]]></description><category></category></item><item><title><![CDATA[mpi之MPI_Sendrecv的用法]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939142</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939142</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:51 +0800</pubDate><description><![CDATA[MPI_SENDRECV(sendbuf, sendcount, sendtype, dest, sendtag, recvbuf, recvcount, recvtype, source, recvtag, comm, status)

MPI_SENDRECV(sendbuf, sendcount, sendtype, dest, sendtag,
recvbuf, recvcount, re]]></description><category></category></item><item><title><![CDATA[并行程序设计入门]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939141</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939141</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:46 +0800</pubDate><description><![CDATA[一、mpi
来自教材《并行程序设计导论》
mpi的helloworld程序


//test3_1.c
#include 
#include string.h>
#include 

const int MAX_STRING = 100;
int main(void){
    char greeting[MAX_STRING];
    int comm_sz;
    int my_rank;]]></description><category></category></item><item><title><![CDATA[git常用命令]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939140</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939140</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:44 +0800</pubDate><description><![CDATA[参考自廖雪峰git教程https://www.liaoxuefeng.com/wiki/0013739516305929606dd18361248578c67b8067c8c017b000/
主要记录自己常用到的几个命令
添加

git add -A .    // 来一次添加所有改变的文件

提交到仓库

 git commit -m ""   //    

本地库的所有内容推送到远程库上

]]></description><category></category></item><item><title><![CDATA[ubuntu16.04通过ipv6进行学术搜索]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939138</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939138</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:38 +0800</pubDate><description><![CDATA[https://www.polarxiong.com/archives/%E8%A7%A3%E5%86%B3ubuntu%E4%B8%8Bipv6%E8%BF%9E%E6%8E%A5%E4%B8%80%E6%AE%B5%E6%97%B6%E9%97%B4%E5%90%8E%E5%B0%B1network-is-unreachable.html
 
https://www.baidu.com/s?w]]></description><category></category></item><item><title><![CDATA[python解压，压缩，以及存数据库的相关操作]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939136</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939136</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:33 +0800</pubDate><description><![CDATA[zipfile实现压缩整个目录和子目录


import os,shutil,zipfile,glob

def dfs_get_zip_file(input_path,result):

#
    files = os.listdir(input_path)
    for file in files:
        if os.path.isdir(input_path+'/'+file)]]></description><category></category></item><item><title><![CDATA[python部分]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939134</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939134</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:31 +0800</pubDate><description><![CDATA[读取骨骼数据相关的多个json，拼接到一起

# -- coding: utf-8 --
import os  
path = "./test" #文件夹目录  
files= os.listdir(path) #得到文件夹下的所有文件名称  
s = []  
i=0
for file in files: #遍历文件夹  
    if not os.path.isdir(file): #判断是]]></description><category></category></item><item><title><![CDATA[网址备份]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939132</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939132</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:28 +0800</pubDate><description><![CDATA[将yolo的输出结果保存到txt文件，并能够使用脚本批量处理http://blog.youkuaiyun.com/zhangxinyu11021130/article/details/76473193?locationNum=10&fps=1]]></description><category></category></item><item><title><![CDATA[yolo环境配置]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939131</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939131</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:25 +0800</pubDate><description><![CDATA[主要配置参考官网https://pjreddie.com/darknet/yolo/
为了能够可视化，另安装cuda+opencv
cuda版本为9.0 opencv版本为3.1.0
先安装cuda再安装opencv后可能会有版本冲突
安装完cuda以及opencv后对yolo的makefile文件进行修改，再重新编译
编译过程中报错
make: *** [obj/convolutional_ke]]></description><category></category></item><item><title><![CDATA[latex使用笔记]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939130</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939130</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:23 +0800</pubDate><description><![CDATA[参考https://liam0205.me/2014/09/08/latex-introduction/ (或者https://www.kancloud.cn/thinkphp/latex/41808 一份其实很短的 LaTeX 入门文档)
在ieee tran模板中使用中文的问题https://yinqingwang.wordpress.com/2015/06/10/miktex%2Btexst]]></description><category></category></item><item><title><![CDATA[python错误处理]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939127</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939127</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:18 +0800</pubDate><description><![CDATA[连接数据库时的编码问题
报错
python编码错误：UnicodeDecodeError: 'utf8' codec can't decode
或者UnicodeDecodeError: 'ascii' codec can't decode byte 0xcf in position 7: ordinal not in range(128)
考虑使用如下方法http://www.jb51.net/]]></description><category></category></item><item><title><![CDATA[srw阅读笔记]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939126</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939126</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:16 +0800</pubDate><description><![CDATA[第一章
p11，不要使用we来代表普遍意义上的人们，使用形式主语和被动语态]]></description><category></category></item><item><title><![CDATA[修改YOLO使其显示自定义类别]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939124</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939124</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:11 +0800</pubDate><description><![CDATA[基本参考自这篇文章（http://blog.youkuaiyun.com/ma3252788/article/details/74659230），主要用来记录下自己遇到的问题
 
根据@赤战约风 的帖子做如下修改可以使其只显示人这个类别

一.修改源代码
cfg/coco.data
classes= 1     #修改成1
train  = /home/pjreddie/data/coco/trainvaln]]></description><category></category></item><item><title><![CDATA[caffe环境配置2]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939123</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939123</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:08 +0800</pubDate><description><![CDATA[参考链接：
http://blog.youkuaiyun.com/enjoyyl/article/details/47397505
http://blog.youkuaiyun.com/baobei0112/article/details/77996369
 
写在前面：安装caffe的过程中一定要把caffe+cuda+cudnn+opencv以及linum的版本对应好，或者完全按照一个好用的教程操作，否则很容易出问题]]></description><category></category></item><item><title><![CDATA[caffe环境配置]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939122</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939122</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:06 +0800</pubDate><description><![CDATA[参考：http://blog.youkuaiyun.com/enjoyyl/article/details/47397505
http://blog.youkuaiyun.com/baobei0112/article/details/77996369
 
 
0.检查你的电脑是否支持CUDA： 检查GPU是否支持：输入如下命令，如果输出的GPU型号是NVIDIA的，并且在此http://developer.nvidia.]]></description><category></category></item><item><title><![CDATA[并行计算课程上机作业]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939121</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939121</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:47:01 +0800</pubDate><description><![CDATA[第一节课：
估算面积分析 曲线y=-x4+x3+1与x轴围成的面积 图形范围： -1 
参考代码


#include 
#include 
#include 
//计算1/1+1/2+1/3+1/4+…+1/1000

double res;   // res是全局变量，用来计算最终的结果

typedef struct Args {
    long n;
    long begin;
  ]]></description><category></category></item><item><title><![CDATA[斯坦福新深度学习系统 NoScope：视频对象检测快1000倍]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939118</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939118</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:46:56 +0800</pubDate><description><![CDATA[以作备份，来源http://jiasuhui.com/archives/178954

本文由“新智元”（微信ID：AI_era）编译，来源：dawn.cs.stanford.edu，编译：刘小芹

斯坦福大学的新研究构建一个名为 NoScope 的深度学习视频对象检测系统，利用视频的局部性对 CNN 模型进行优化，相比当前性能最好的 YOLOv2 或 Faster R-CNN 速度加快了1000]]></description><category></category></item><item><title><![CDATA[windows+ubuntu双系统，在windows中访问ubuntu文件]]></title><link>https://blog.youkuaiyun.com/JarvisLau/article/details/79939116</link><guid>https://blog.youkuaiyun.com/JarvisLau/article/details/79939116</guid><author>JarvisLau</author><pubDate>Sat, 14 Apr 2018 12:46:53 +0800</pubDate><description><![CDATA[今天被告知ubuntu磁盘空间不足，百度得知可以通过autoremove命令清理，然而，，再也进不去ubuntu系统了，具体表现为第一次选择ubuntu之后一直是空白紫屏，如果强制关机再开机后选择ubuntu，则会不断调回boot界面重复选择系统，总之，ubuntu是进不去了。
但是，ubuntu中有着一篇很重要的论文，记不得名字了，必须通过进入ubuntu得知，最终使用Linux Reader软]]></description><category></category></item></channel></rss>