<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[lst227405的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/lst227405</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; lst227405]]></copyright><item><title><![CDATA[Implementing a Neural Network from Scratch in Python – An Introduction（通过python中的Scratch来实现神经网络--简介）]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/56495625</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/56495625</guid><author>lst227405</author><pubDate>Mon, 27 Feb 2017 20:07:16 +0800</pubDate><description><![CDATA[最近遇到了点小挫折，不想学习，翻译一片博客吧


原文链接


在本文中我们通过scratch实现了3个简单的神经网络，本文没有任何公式推导，只是对做法进行了直观的说明，更多的细节可以通过本文链接进行学习。
阅读本文之前，需要有一定的微积分和机器学习算法基础，知道什么叫分类和正则化。如果能熟悉一些常用的优化方法，如梯度下降就更好了。即使上面提到的你都没听说过但还是很感兴趣，那么你也可]]></description><category></category></item><item><title><![CDATA[LeNet、AlexNet、GoogLeNet、VGG、ResNet]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/55224620</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/55224620</guid><author>lst227405</author><pubDate>Wed, 15 Feb 2017 22:26:27 +0800</pubDate><description><![CDATA[文章一

文章二]]></description><category></category></item><item><title><![CDATA[Caffe for Python 官方教程(翻译) ----我的第一个caffe程序]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/55222922</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/55222922</guid><author>lst227405</author><pubDate>Wed, 15 Feb 2017 20:51:21 +0800</pubDate><description><![CDATA[原文请点击]]></description><category></category></item><item><title><![CDATA[一次性配置OpenCV的正确姿势]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/53588178</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/53588178</guid><author>lst227405</author><pubDate>Mon, 12 Dec 2016 22:33:36 +0800</pubDate><description><![CDATA[博主之前新建OpenCV工程的时候总是把常用的几个路径记录在一个文本文档中，然后简单粗暴的复制粘贴，然而今天觉得这个方法效率也有点低
所以开始找一次性搞定的方案


刚开始找到了百度经验上的配置教程，可是新建props文件后添加报错，问题描述如下：
cannot add property sheet ‘——————‘ as it is either an
invalid property]]></description><category></category></item><item><title><![CDATA[悼念雷霄骅博士]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/53369405</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/53369405</guid><author>lst227405</author><pubDate>Sun, 27 Nov 2016 23:11:40 +0800</pubDate><description><![CDATA[最近一直在看meanshift方面的东西，网络上找了很多博客看，可是都讲的一知半解，看完感觉没有太大收获，直到看到这一篇，讲的深入浅出，看过之后有醍醐灌顶之感，就顺手关注了博主，可是看到名字和毕业学校，而且还管理着一个QQ群，突然想到之前看到的新闻，因为从事的领域比较接近，所以当时给我印象比较深，心里猛然想到：不会吧。。。
可是百度了一下，我的猜想竟然是对的，此时此刻，除了天妒英才之外，想不到还]]></description><category></category></item><item><title><![CDATA[OpenCV中findContours所用的算法]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/53265726</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/53265726</guid><author>lst227405</author><pubDate>Mon, 21 Nov 2016 22:38:21 +0800</pubDate><description><![CDATA[先上代码，opencv官方文档中的代码如下：
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include 
#include 
#include 

using namespace cv;
using namespace std;

Mat src; Mat src_gray;
int thresh = 100;]]></description><category></category></item><item><title><![CDATA[边学习边读代码——caffe]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/53191446</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/53191446</guid><author>lst227405</author><pubDate>Wed, 16 Nov 2016 21:57:49 +0800</pubDate><description><![CDATA[在ubuntu下安装好caffe后，感觉单纯跑例程或者简单的改一下参数并不能达到提高自己的目的，所以开始学习caffe背后的知识，本博客还处于更新状态。


这里给大家推荐一个博客甘宇飞
由于资质有限，很多地方看了并不明白，所以对照着其他博客慢慢理解]]></description><category></category></item><item><title><![CDATA[caffe调试记录]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/53149032</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/53149032</guid><author>lst227405</author><pubDate>Sun, 13 Nov 2016 14:54:06 +0800</pubDate><description><![CDATA[为了学caffe搞了块GTX950，勉强满足了深度学习的基本要求


编译好caffe后，开始训练模型，用手机拍了一小段视频，总共500帧图像
训练过程参考了这篇博客
点击打开链接



生成模型后训练过程中报错，显示Caffe | Check failed: error == cudaSuccess (2 vs. 0) out of memory
搜索后发现是显存不足，但是我]]></description><category></category></item><item><title><![CDATA[python删除文件夹下相同文件和无法打开的图片]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/52877662</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/52877662</guid><author>lst227405</author><pubDate>Thu, 20 Oct 2016 22:15:43 +0800</pubDate><description><![CDATA[前天不小心把硬盘格式化了，丢了好多照片，后来用Recuva这款软件成功把文件恢复过来，可是恢复的文件中有好多重复的文件和无法打开的图片，所以写了两个python的小程序用来解决这个问题


删除相同文件：
#coding=utf-8

import os
import os.path
import Image
import hashlib

def get_md5(filename):
 ]]></description><category></category></item><item><title><![CDATA[菜鸟caffe-window10-VS2013调试记录]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/52826070</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/52826070</guid><author>lst227405</author><pubDate>Sat, 15 Oct 2016 22:55:13 +0800</pubDate><description><![CDATA[基本安装步骤如下所示：
https://initialneil.wordpress.com/2015/01/11/build-caffe-in-windows-with-visual-studio-2013-cuda-6-5-opencv-2-4-9/
看英文比较吃力的话可以参考
http://www.cnblogs.com/trantor/p/4570097.html



但是我]]></description><category></category></item><item><title><![CDATA[OpenCV定义一个变量矩阵]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/39161339</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/39161339</guid><author>lst227405</author><pubDate>Tue, 09 Sep 2014 21:20:55 +0800</pubDate><description><![CDATA[opencv里面定义一个矩阵变量时用的语法是
cv::Mat t=cv::MA]]></description><category></category></item><item><title><![CDATA[LINK : fatal error LNK1123: failure during conversion to COFF: file invalid or corrupt]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/36176647</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/36176647</guid><author>lst227405</author><pubDate>Tue, 01 Jul 2014 10:14:44 +0800</pubDate><description><![CDATA[LINK : fatal error LNK1123: failure during conversion to COFF: file invalid or corrupt

解决方法:

项目-->工程属性->配置属性-> 清单工具->输入和输出->嵌入清单，选择[否]   ----------->只要设这个就可以了

项目-->项目属性-->配置属性-->清单工具-->使用FAT3]]></description><category></category></item><item><title><![CDATA[Visual Applet第一篇]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/35257153</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/35257153</guid><author>lst227405</author><pubDate>Fri, 27 Jun 2014 14:34:04 +0800</pubDate><description><![CDATA[昨天装好了visualapplet，今天准备研究一下软件都有什么功能]]></description><category></category></item><item><title><![CDATA[visual applet]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/34922841</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/34922841</guid><author>lst227405</author><pubDate>Thu, 26 Jun 2014 21:19:09 +0800</pubDate><description><![CDATA[因为课题后期会用到FPGA对图像进行加速
而我又不是很懂这方面的东西，一直感觉很头疼]]></description><category></category></item><item><title><![CDATA[opencv+ffmpeg4zedboard]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/34106151</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/34106151</guid><author>lst227405</author><pubDate>Tue, 24 Jun 2014 15:10:04 +0800</pubDate><description><![CDATA[事先说明：本文主要参考的是zhonglq在xilinx上的一篇blog
之前已经做好了opencv函数库的移植，但是后来做视频处理的时候遇到了困难（如前一篇blog所述）
虽然移植了ffmpeg，但是还是不可以，想着移植一下Qt试试
先贴上原文，然后在原文上写一些自己的东西吧

最近刚刚接触XILINX的ZYNQ板，刚接触没有十天。XILINX定位它为SOC，我也很认同，起码比TI定位M]]></description><category></category></item><item><title><![CDATA[Qt环境下利用opencv逐帧播放视频]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/33304419</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/33304419</guid><author>lst227405</author><pubDate>Sun, 22 Jun 2014 10:53:12 +0800</pubDate><description><![CDATA[头文件]]></description><category></category></item><item><title><![CDATA[ubuntu+qt+opencv环境配置]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/32177237</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/32177237</guid><author>lst227405</author><pubDate>Wed, 18 Jun 2014 21:20:21 +0800</pubDate><description><![CDATA[参考blog
http://www.openhw
.org/bbs/article_1156_538517.html



说明：操作系统ubuntu 12.04 desktop LTS

          Qt 是C++图行用户界面开发框架。它既可以开发GUI程式，也可用于开发非GUI程式，比如控制台工具和服务器。Qt易于扩展，并且允许组件编程， 它可以运行在Windows,M]]></description><category></category></item><item><title><![CDATA[opencv中读取视频每一帧并且单独保存]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/32101037</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/32101037</guid><author>lst227405</author><pubDate>Wed, 18 Jun 2014 11:27:41 +0800</pubDate><description><![CDATA[while(true)
	{

		src>>frame_src;
		if(frame_src.empty())
		{
			cout<<"game over!"<<endl;
			break;	
		}
		cv::resize(frame_src,frame_tmp,cv::Size(512,512));
		cv::cvtColor(frame_tmp,frame_dst,CV_RGB]]></description><category></category></item><item><title><![CDATA[关于在windows下利用QT进行opencv跨平台视频开发]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/31808283</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/31808283</guid><author>lst227405</author><pubDate>Tue, 17 Jun 2014 21:11:45 +0800</pubDate><description><![CDATA[感觉好几天没有写blog了
之前的b]]></description><category></category></item><item><title><![CDATA[基于ZYNQ7000的交叉编译工具链Qt+OpenCV+ffmpeg等库的支持总结]]></title><link>https://blog.youkuaiyun.com/lst227405/article/details/30465465</link><guid>https://blog.youkuaiyun.com/lst227405/article/details/30465465</guid><author>lst227405</author><pubDate>Fri, 13 Jun 2014 11:04:05 +0800</pubDate><description><![CDATA[事先说明：本文主要参考的是zhonglq的]]></description><category></category></item></channel></rss>