<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[帅气的可乐]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/u013591306</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; u013591306]]></copyright><item><title><![CDATA[Apache-解析漏洞防御]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/115360363</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/115360363</guid><author>u013591306</author><pubDate>Wed, 31 Mar 2021 20:44:24 +0800</pubDate><description><![CDATA[修改Apache的主配置文件：C:\phpstudy\Apache\conf\httpd.conf
对apache的配置文件做适当修改，在文件中添加下面几行代码



#mycode
  &lt;FilesMatch ".(php.|php3.|php4.|php5.)"&gt;
    Order Deny,Allow
    Deny from all
  &lt;/FilesMatch&gt;
...]]></description><category></category></item><item><title><![CDATA[wordpress里面图片自动加alt+title]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/114763192</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/114763192</guid><author>u013591306</author><pubDate>Sat, 13 Mar 2021 21:15:21 +0800</pubDate><description><![CDATA[//图片自动加alt+title
function image_alttitle($imgalttitle){
    global $post;
    $category = get_the_category();
    $flname=$category[0]-&gt;cat_name;
    $btitle = get_bloginfo();
    $imgtitle = $post-&gt;post_title;
    $imgUrl = "...]]></description><category></category></item><item><title><![CDATA[notepa匹配    title=(.*) 来替换文字]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/104707657</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/104707657</guid><author>u013591306</author><pubDate>Sat, 07 Mar 2020 00:11:02 +0800</pubDate><description><![CDATA[notepa匹配  title=(.*)来替换文字
]]></description><category></category></item><item><title><![CDATA[排行榜]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/104526933</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/104526933</guid><author>u013591306</author><pubDate>Wed, 26 Feb 2020 22:37:47 +0800</pubDate><description><![CDATA[&lt;table style="font-size: 14px;" width="360"&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;&lt;img src="https:/"&gt;&lt;/td&gt;
&lt;td&gt;
&lt;ul&gt;
 &lt;li&gt;
  &lt;a href="" style="font-size: 14...]]></description><category></category></item><item><title><![CDATA[fpn的理解]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/103302093</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/103302093</guid><author>u013591306</author><pubDate>Thu, 28 Nov 2019 22:15:01 +0800</pubDate><description><![CDATA[本部分截取自知乎文章：从代码细节理解 FPN，作者使用Mask-RCNN的源码辅助理解FPN结构，项目地址见MRCNN，

1、 怎么做的上采样？

高层特征怎么上采样和下一层的特征融合的，代码里面可以看到:


			1
			
			
			P5=KL.Conv2D(256, (1,1), name='fpn_c5p5')(C5)
			
		C5是 resnet最顶层的输出，它会先通过...]]></description><category></category></item><item><title><![CDATA[COCO数据集中的81个类]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/103288679</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/103288679</guid><author>u013591306</author><pubDate>Thu, 28 Nov 2019 10:26:20 +0800</pubDate><description><![CDATA[class COCODemo(object):
  # COCO categories for pretty print
  CATEGORIES = [
    "__background",
    "person",
    "bicycle",
    "car",
    "motorcycle",
    "airplane",
...]]></description><category></category></item><item><title><![CDATA[安装mask scoring rcnn]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/103225609</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/103225609</guid><author>u013591306</author><pubDate>Sun, 24 Nov 2019 17:22:02 +0800</pubDate><description><![CDATA[pip 清华源



pip install -i https://pypi.tuna.tsinghua.edu.cn/simple


清华源安装pytorch 
conda install pytorch=1.1  torchvision==0.2.1 cudatoolkit=10.0*

pytorch  版本不能太高，建议调低pytorch版本。
ModuleNotFoundError:...]]></description><category></category></item><item><title><![CDATA[from torch.utils.model_zoo import download_url_to_file[urlparse]]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/103219660</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/103219660</guid><author>u013591306</author><pubDate>Sat, 23 Nov 2019 22:24:55 +0800</pubDate><description><![CDATA[模块导入报错：API 移动到新的模块了
按照如下修改：
from torch.hub import _download_url_to_file
from torch.hub import urlparse
那个api换了 移动到 torch.hub里面了
]]></description><category></category></item><item><title><![CDATA[adaboost原理]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/102845866</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/102845866</guid><author>u013591306</author><pubDate>Thu, 31 Oct 2019 21:04:37 +0800</pubDate><description><![CDATA[1、训练数据中每个样本，赋予一个权重，进行训练弱分类器并计算该分类器的错误率2、重新在同一数据集上训练分类器，调整样本权重，第一次分对的样本权重降低，分错的样本权重增加。基于每个分类器的分类错误率给定权重，加权求和。
...]]></description><category></category></item><item><title><![CDATA[ubuntu入系统的时候recovering journal的解决办法]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/102683707</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/102683707</guid><author>u013591306</author><pubDate>Tue, 22 Oct 2019 15:38:50 +0800</pubDate><description><![CDATA[ubuntu由于意外断电或者文件损坏的原因进不去桌面

1、进入命令行：rm -rf /etc/X11/xorg.conf

2、cp /etc/X11/xorg.conf.failsafe /etc/X11/xorg.conf

3、ctrl+ALT+F1 进入tty模式重新安装显卡程序即可。
...]]></description><category></category></item><item><title><![CDATA[wordpress搜索功能失效怎么办]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/102654120</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/102654120</guid><author>u013591306</author><pubDate>Sun, 20 Oct 2019 21:33:10 +0800</pubDate><description><![CDATA[1、检查缓存插件是否冲突，禁止缓存搜索结果、首页

2、CDN是否冲突，CDN禁止缓存首页，缓存搜索结果

为什么要禁止缓存首页？一：有利于seo 二、搜索结果为网址重定向，缓存首页有可能缓存搜索结果，导致访问主页结果却是搜索页面。
...]]></description><category></category></item><item><title><![CDATA[ValueError: Object arrays cannot be loaded when allow_pickle=False解决方案]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/101025631</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/101025631</guid><author>u013591306</author><pubDate>Thu, 19 Sep 2019 15:58:32 +0800</pubDate><description><![CDATA[第一种办法：

修改/anaconda3/envs/py3.7/lib/python3.7/site-packages/numpy/lib 注释掉第696行

第二种方法：

降低numpy 版本

conda install numpy==1.16.2
]]></description><category></category></item><item><title><![CDATA[maskrcnn-benchmark 训练自己的数据集]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/100036920</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/100036920</guid><author>u013591306</author><pubDate>Fri, 23 Aug 2019 14:13:06 +0800</pubDate><description><![CDATA[代码修改
1、使用预训练模型需要修改部分代码，主要由于自己的数据集类别和预训练的81类对不上。
修改maskrcnn-benchmask/config/default.py:
_C.MODEL.ROI_BOX_HEAD.NUM_CLASSES修改为自己的数据集类别加1
_C.SOLVER.CHECKPOINT_PERIOD修改为10000（可选），设置大点是为了减少保存的模型数
修改maskrcn...]]></description><category></category></item><item><title><![CDATA[深度学习DFace框架和视频人脸检测]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/99633789</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/99633789</guid><author>u013591306</author><pubDate>Thu, 15 Aug 2019 14:20:05 +0800</pubDate><description><![CDATA[一、准备工作

1.Anaconda3环境：pytorch-gpu

CUDA：8.0
cuDNN：5.1
环境配置请参考https://blog.youkuaiyun.com/hhy_csdn/article/details/82263078

二、修改代码

激活环境


activate pytorch-gpu

1
运行test_image.py，执行python test_image.py
出...]]></description><category></category></item><item><title><![CDATA[linux下重装显卡驱动]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/97380364</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/97380364</guid><author>u013591306</author><pubDate>Fri, 26 Jul 2019 12:35:31 +0800</pubDate><description><![CDATA[sudo service lightdm stop
然后，卸载nvidia显卡驱动。注意此时千万不能重启，重新电脑可能会导致无法进入系统。

sudo apt-get remove nvidia*
然后，安装显卡驱动

sudo sh cuda_6.5.14_linux_64.run





更新x-configure 选择YES，最后ok

sudo service lightdm star...]]></description><category></category></item><item><title><![CDATA[tf-faster-rcnn的安装以及测试]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/89887506</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/89887506</guid><author>u013591306</author><pubDate>Mon, 06 May 2019 17:32:52 +0800</pubDate><description><![CDATA[1.下载github项目代码和数据
git clone https://github.com/endernewton/tf-faster-rcnn.git



2.修改配置
在lib文件夹下有个setup.py文件，里面可以设置CPU和GPU的参数。

3.链接cython 模块
在lib目录下打开终端，输入
makeclean
make
cd..

此时终端回到主目录tf-faster-...]]></description><category></category></item><item><title><![CDATA[py-faster-rcnn报错解决+用别人训练好的模型测试自己的图片]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/89704148</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/89704148</guid><author>u013591306</author><pubDate>Tue, 30 Apr 2019 10:16:03 +0800</pubDate><description><![CDATA[Pro1:TypeError: 'numpy.float64' object cannot be interpreted as an index

这个问题是因为我用的numpy版本太高了,　最简单的方法是直接改版本　sudo python2.7 /usr/local/bin/pip install -U numpy==1.11.0;但是我不是管理员,没有办法更改,修改如下...]]></description><category></category></item><item><title><![CDATA[py-faster-rcnn+ubuntu16.04+cuda8.0+py2.7安装+anaconda3]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/88735463</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/88735463</guid><author>u013591306</author><pubDate>Tue, 26 Mar 2019 16:19:38 +0800</pubDate><description><![CDATA[一、环境准备

装cuda9.0时make runtest会出现，Check failed: status == CUBLAS_STATUS_SUCCESS (13 vs. 0) CUBLAS_STATUS_EXECUTION_FAILED

改装成cuda8.0之后一切OK，目测是cuda9.0和显卡驱动的兼容问题影响的。

1、anaconda3创建虚拟环境激活环境create -n py2....]]></description><category></category></item><item><title><![CDATA[Anaconda5.0.1+pytorch的安装]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/87904055</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/87904055</guid><author>u013591306</author><pubDate>Mon, 25 Feb 2019 13:41:21 +0800</pubDate><description><![CDATA[查看cudnn版本：


cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

cudnn更新至7.0：

1、替换cudnn.h和上传libcudnn*

2、赋权限

3、建立软连接

sudo ln -sf libcudnn.so.7.1.3 libcudnn.so.7

sudo ln -sf libcudnn.so.7 ...]]></description><category></category></item><item><title><![CDATA[将多个csv文件合并到一个csv中]]></title><link>https://blog.youkuaiyun.com/u013591306/article/details/86529530</link><guid>https://blog.youkuaiyun.com/u013591306/article/details/86529530</guid><author>u013591306</author><pubDate>Thu, 17 Jan 2019 18:48:12 +0800</pubDate><description><![CDATA[ 

将所有的csv文件放到一个文件夹，位置任意。
	打开cmd，切换到存放csv的文件夹，也可以在csv文件夹中，按住shift加鼠标右键，选择在此处打开命令窗口。
	输入copy *.csv all.csv，all-group的名字，可以任意。然后按enter，等待完成就可以了。
	打开csv文件夹就可以看到all.csv
 ...]]></description><category></category></item></channel></rss>