<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Spada_k的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Spada_k</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Spada_k]]></copyright><item><title><![CDATA[Xcode swift FFmpeg 导入.h .a后仍然报Use of unresolved identifier ‘avformat_alloc_context‘]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/108599641</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/108599641</guid><author>Spada_k</author><pubDate>Tue, 15 Sep 2020 14:58:13 +0800</pubDate><description><![CDATA[要在Build Setting -&gt; Objective-C Bridging Header 的地方写桥接的.h 的文件名！

不然Xcode 好像不认得



例如

桥接的bridge.h为

#ifndef bridge_h

#define bridge_h



#import "libavcodec/avcodec.h"

#import "libavdevice/avdevice.h"

#import "libavfilter/avfilter.h"

#import "libav..]]></description><category></category></item><item><title><![CDATA[ffmpeg添加自定义命令行输出文件]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/83374846</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/83374846</guid><author>Spada_k</author><pubDate>Thu, 25 Oct 2018 13:14:01 +0800</pubDate><description><![CDATA[想要一个输出的可指定文件路径的文件，文件的内容是ffmpeg运行过程中自己想获取的信息。

步骤1-定义这个命令行选项：

找到ffmpeg_opt.c中

“

enum OptGroup {
    GROUP_OUTFILE,
    GROUP_INFILE,
};

static const OptionGroupDef groups[] = {
    [GROUP_OUTFILE] ...]]></description><category></category></item><item><title><![CDATA[ffmpeg libx264视频编码过程中帧内预测模式a->i_predict4x4[idx]的获取问题]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/83181174</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/83181174</guid><author>Spada_k</author><pubDate>Fri, 19 Oct 2018 13:40:06 +0800</pubDate><description><![CDATA[analyse.c的函数static void x264_mb_analyse_intra(...)中有这么一段代码：

if( i_best &amp;gt; 0 )  //注释来自leixiaohua大神
	                {  
	                    for( ; *predict_mode &amp;gt;= 0; predict_mode++ )//遍历所有Intra...]]></description><category></category></item><item><title><![CDATA[最简单的基于FFMPEG的转码程序 open_output_file函数报错“Cannot open video encoder for stream ...”]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/83007163</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/83007163</guid><author>Spada_k</author><pubDate>Thu, 11 Oct 2018 09:50:22 +0800</pubDate><description><![CDATA[雷神的https://blog.youkuaiyun.com/leixiaohua1020/article/details/26838535

文章后附的代码，报错:Cannot open video encoder for stream blabla...

需要修改一下，解决方法来自，烛龙一现，https://blog.youkuaiyun.com/w_z_z_1991/article/details/5300241...]]></description><category></category></item><item><title><![CDATA[VS2015“有太多的错误导致IntelliSense引擎无法正常工作,其中有些错误无法在编辑器”]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/82999005</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/82999005</guid><author>Spada_k</author><pubDate>Wed, 10 Oct 2018 16:21:35 +0800</pubDate><description><![CDATA[今天同时在一个解决方案里建立C和CPP的项目的时候，首行出现一个很奇怪的错误：“有太多的错误导致IntelliSense引擎无法正常工作,其中有些错误无法在编辑器”

好像在项目-&amp;gt;属性-&amp;gt;配置属性-&amp;gt;C/C++-&amp;gt;预处理器-&amp;gt;预处理器定义中加入“_XKEYCHECK_H”就消失了，一头雾水...]]></description><category></category></item><item><title><![CDATA[ffmpeg获得单帧解码后的YUV]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/82697659</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/82697659</guid><author>Spada_k</author><pubDate>Fri, 14 Sep 2018 10:04:15 +0800</pubDate><description><![CDATA[这几天做实验要用到视频的分帧Y分量数据，比较麻烦的方法是跟踪宏块的解码过程一块一块去拼，但实际上ffmpeg工程里是可以直接获取的：

位于libavcodec/utils.c下

int attribute_align_arg avcodec_decode_video2(AVCodecContext *avctx, AVFrame *picture,
                      ...]]></description><category></category></item><item><title><![CDATA[Check failed: error == cudaSuccess (74 vs. 0) misaligned address的解决方法]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/81113944</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/81113944</guid><author>Spada_k</author><pubDate>Thu, 19 Jul 2018 13:47:35 +0800</pubDate><description><![CDATA[今天训练网络的时候加入了Deconvolution Layer，结果一运行报Check failed: error == cudaSuccess (74 vs. 0) misaligned address。

这是一个caffe的BUG，非常感谢https://github.com/BVLC/caffe/issues/5729的hoszbh提供了解决方法，不然真是不知道要被困住多久了。

解决方法...]]></description><category></category></item><item><title><![CDATA[Mac OS X 通知中心彻底删除网站的通知]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/80837768</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/80837768</guid><author>Spada_k</author><pubDate>Thu, 28 Jun 2018 09:00:43 +0800</pubDate><description><![CDATA[前几天发现莫名其妙电脑右上角会蹦出来“北美省钱快报”的通知。上网找了一圈，都是说要删除~/Library/Application Support/下的blabla，这个方法可能是针对未卸载干净的软件，来自网站的通知应该是不适用。实际在谷歌上面找到的解决办法是：Safari -&amp;gt; Preference -&amp;gt; Notifications，对应中文的系统就是Safari-&amp;gt;偏好设置-&amp;...]]></description><category></category></item><item><title><![CDATA[配置 NVIDIA DeepStream SDK on Tesla V2.0]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/80797033</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/80797033</guid><author>Spada_k</author><pubDate>Mon, 25 Jun 2018 11:16:39 +0800</pubDate><description><![CDATA[系统要求为：Ubuntu 16.04CUDA 9.2官方安装指导为：https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html首先，wget https://developer.nvidia.com/compute/cuda/9.2/Prod/local_installers/cuda_9.2.88_396.26_li...]]></description><category></category></item><item><title><![CDATA[ubuntu dpkg initramfs-tools错误的解决方法]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/80798088</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/80798088</guid><author>Spada_k</author><pubDate>Mon, 25 Jun 2018 10:17:28 +0800</pubDate><description><![CDATA[dpkg: error processing package initramfs-tools (--configure): subprocess installed post-installation script returned error exit status 1Errors were encountered while processing: initramfs-tools解决方法在ht...]]></description><category></category></item><item><title><![CDATA[PIP Install on Mac: Operation Not Permitted]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/80749137</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/80749137</guid><author>Spada_k</author><pubDate>Wed, 20 Jun 2018 17:29:56 +0800</pubDate><description><![CDATA[http://marcelog.github.io/articles/mac_osx_python_pip_install_operation_not_permitted.html（感谢https://www.cnblogs.com/littledrop/p/7593996.html）PIP Install on Mac: Operation Not Permitted If you are tr...]]></description><category></category></item><item><title><![CDATA[VS2013 BCGControlBar 25 遇到的问题记录]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/78412058</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/78412058</guid><author>Spada_k</author><pubDate>Wed, 01 Nov 2017 11:17:45 +0800</pubDate><description><![CDATA[1.安装问题

“VS2013反对再使用Multi-Byte的工程，如果需要使用，请去官网下载相应的加载项。这是官网的说明链接https://msdn.microsoft.com/library/dn251007.aspx”
感谢http://blog.youkuaiyun.com/u014250897/article/details/40371421#reply henryluoheng

2.e]]></description><category></category></item><item><title><![CDATA[windows 64bits+VS2015+FFmpeg实践]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/78086687</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/78086687</guid><author>Spada_k</author><pubDate>Mon, 25 Sep 2017 16:32:50 +0800</pubDate><description><![CDATA[ 

参考：
感谢ShiftMediaProject大神提供了vs2015的工程，感谢《使用vs2013或vs2015 编译ffmpeg》http://www.jianshu.com/p/e72e6dce7f23提供了问题解决思路。

感谢http://blog.youkuaiyun.com/JiffyChen/article/details/74552402《VS2015编译FFMpeg3.2.4》，基本就...]]></description><category></category></item><item><title><![CDATA[【TensorFlow官网搬运201704】Getting Started With TensorFlow]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/70210186</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/70210186</guid><author>Spada_k</author><pubDate>Mon, 17 Apr 2017 13:50:02 +0800</pubDate><description><![CDATA[Getting Started With TensorFlow


This guide gets you started programming in TensorFlow. Before using this guide, install TensorFlow. To get the most out of
 this guide, you should know the follow]]></description><category></category></item><item><title><![CDATA[A Brief Introduction Of TensorFlow]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/69568384</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/69568384</guid><author>Spada_k</author><pubDate>Fri, 07 Apr 2017 16:08:41 +0800</pubDate><description><![CDATA[TensorFlow使用图 (graph) 来表示计算任务.
在被称之为 会话 (Session) 的上下文 (context) 中执行图.
使用 tensor 表示数据.
通过 变量 (Variable) 维护状态.
使用 feed 和 fetch 可以为任意的操作(arbitrary operation) 赋值或者从其中获取数据.


TensorFlow 是一个编程系统, 使用]]></description><category></category></item><item><title><![CDATA[Softmax回归介绍]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/69562529</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/69562529</guid><author>Spada_k</author><pubDate>Fri, 07 Apr 2017 15:20:02 +0800</pubDate><description><![CDATA[softmax模型可以用来给不同的对象分配概率。即使在训练更加精细的模型时，最后一步也需要用softmax来分配概率。


softmax回归（softmax regression）：
为了得到一张给定图片属于某个特定类的证据（evidence），我们对图片像素值进行加权求和。如果这个像素具有很强的证据说明这张图片不属于该类，那么相应的权值为负数，相反如果这个像素拥有有利的证据支持这张图片]]></description><category></category></item><item><title><![CDATA[Ubuntu下修改环境变量的三种方法]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/69258436</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/69258436</guid><author>Spada_k</author><pubDate>Wed, 05 Apr 2017 15:44:25 +0800</pubDate><description><![CDATA[Ubuntu下设置环境变量有三种方法，一种用于当前终端，一种用于当前用户，一种用于所有用户：


 

 

一：用于当前终端：

在当前终端中输入：export PATH=$PATH:

不过上面的方法只适用于当前终端，一旦当前终端关闭或在另一个终端中，则无效。

  export NDK_ROOT=/home/jiang/soft/Android-ndk-r8e
 ]]></description><category></category></item><item><title><![CDATA[CakePHP 3.4.0下Bootstrap Chart.js配置]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/65444078</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/65444078</guid><author>Spada_k</author><pubDate>Thu, 23 Mar 2017 15:17:57 +0800</pubDate><description><![CDATA[安装chart.js绘制表格插件
bower install chart.js –save
随后执行：(如果不另外说明，都是在bookmaarket文件夹下执行)
mkdir -p webroot\js\chart.js
copy bower_components\chart.js\dist\* webroot\js\chart.js\.

使用时加入：

及：

将得到：]]></description><category></category></item><item><title><![CDATA[在CakePHP 3.4.0框架下使用bootstrap]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/64906188</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/64906188</guid><author>Spada_k</author><pubDate>Wed, 22 Mar 2017 11:02:23 +0800</pubDate><description><![CDATA[Bootstrap众所周知的好用，开发CakePHP的时候想在工程中进行使用，步骤记录如下。
这个friendsofcake\bootstrap是有github的，写得非常清楚，步骤照着做就行啦~~而且我有点懒可能记录的有疏漏嘿嘿，如果有细节不清楚可以去看看~：
https://github.com/FriendsOfCake/bootstrap-ui
配置friendsofcake\boo]]></description><category></category></item><item><title><![CDATA[安装WAMP注意事项（WampServer3）]]></title><link>https://blog.youkuaiyun.com/Spada_k/article/details/64906033</link><guid>https://blog.youkuaiyun.com/Spada_k/article/details/64906033</guid><author>Spada_k</author><pubDate>Wed, 22 Mar 2017 10:54:51 +0800</pubDate><description><![CDATA[在使用Cake PHP或其他进行开发之前，要配置Wamp环境。安装过程十分简单，但是一些需要注意的事项：
WampServer（A WindowsWeb development environment for
Apache,MySQL,
PHP databases）
64 bits: \wampserver3\wampserver3.0.6_x64_apache2.4.23_mysql5.]]></description><category></category></item></channel></rss>