<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[ralrk的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/ralrk</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; ralrk]]></copyright><item><title><![CDATA[Python使用paddleorc]]></title><link>https://blog.youkuaiyun.com/ralrk/article/details/150851834</link><guid>https://blog.youkuaiyun.com/ralrk/article/details/150851834</guid><author>ralrk</author><pubDate>Tue, 26 Aug 2025 13:19:49 +0800</pubDate><description><![CDATA[查阅了一下是Python和paddleorc版本不兼容的问题，我使用的是3.13.7的Python，3.2.0的paddleocr。将Python降为3.7.0的版本后可以使用。正常安装之后一直报错：ImportError: cannot import name 'draw_ocr' from 'paddleocr'。使用了easyocr后效果不太理想，识别的误差很大，看了一下网上paddleorc的评价不错，准备试一下。测试实例后，识别文字的准确性比easyorc好太多，都是没有经过训练的情况下对比。]]></description><category></category></item><item><title><![CDATA[Windows安装python使用Tesseract-OCR]]></title><link>https://blog.youkuaiyun.com/ralrk/article/details/150553383</link><guid>https://blog.youkuaiyun.com/ralrk/article/details/150553383</guid><author>ralrk</author><pubDate>Wed, 20 Aug 2025 14:50:01 +0800</pubDate><description><![CDATA[Tesseract下载网址一定要下载对应的w32或者w64，否则会报错。安装完成后需要配置环境变量：此电脑→属性→“高级系统设置→环境变量→Path→编辑→新建，将安装的Tesseract-OCR目录路径复制进去。Path→新建，变量名：TESSDATA_PREFIX，变量值为Tesseract-OCR下tessdata文件夹路径。]]></description><category></category></item><item><title><![CDATA[AUTOSAR入门-AS开源代码编译运行]]></title><link>https://blog.youkuaiyun.com/ralrk/article/details/139082293</link><guid>https://blog.youkuaiyun.com/ralrk/article/details/139082293</guid><author>ralrk</author><pubDate>Tue, 21 May 2024 12:43:25 +0800</pubDate><description><![CDATA[发现在插入Python相关的路径时出错，找到了对应的函数：com/as.tool/config.infrastructure.system/building.py：AddPythonDev。感觉是命令被截断了，就去查了一下编译pyas对应的配置文件：com/as.application/board.any/pyas/SConscript。在此代码的基础上进行了一些简单的介绍和二次开发，可供参考（代码编译的过程中遇到了一些问题，在此记录，以供参考。），包含缺少的函数，下载后替换，再完成编译。]]></description><category></category></item><item><title><![CDATA[安装hal]]></title><link>https://blog.youkuaiyun.com/ralrk/article/details/109182878</link><guid>https://blog.youkuaiyun.com/ralrk/article/details/109182878</guid><author>ralrk</author><pubDate>Tue, 20 Oct 2020 16:12:51 +0800</pubDate><description><![CDATA[安装HDF5 1.10.1


#下载hdf5
$ wget http://www.hdfgroup.org/ftp/HDF5/releases/hdf5-1.10/hdf5-1.10.1/src/hdf5-1.10.1.tar.gz
#解压
$ tar -zxvf hdf5-1.10.1.tar.gz
#进入文件夹
$ cd hdf5-1.10.1
#编译并安装
$ ./configure --enable-cxx --prefix=&lt;path to hdf5&gt;/hdf5-1.10.1
$ m]]></description><category></category></item><item><title><![CDATA[安装lammps-3Mar20]]></title><link>https://blog.youkuaiyun.com/ralrk/article/details/108513697</link><guid>https://blog.youkuaiyun.com/ralrk/article/details/108513697</guid><author>ralrk</author><pubDate>Thu, 10 Sep 2020 15:04:28 +0800</pubDate><description><![CDATA[1.布置编译器


$ module load openmpi/4.0.4_gcc10.2.0

2.下载lammps

地址：https://lammps.sandia.gov/download.html

3.解压


$ tar -zxvf lammps-stable.tar.gz

4.在解压包中 /src/STUBS下编译


$ cd lammps-3Mar20/src/STUBS/
$ make

5.返回 /src进行编译


$ make g++_openmpi


...]]></description><category></category></item><item><title><![CDATA[NMAD-2.14b1安装]]></title><link>https://blog.youkuaiyun.com/ralrk/article/details/106262008</link><guid>https://blog.youkuaiyun.com/ralrk/article/details/106262008</guid><author>ralrk</author><pubDate>Mon, 25 May 2020 10:47:07 +0800</pubDate><description><![CDATA[编译使用Intel 2018和gcc 7.3

下载链接：https://www.ks.uiuc.edu/Research/namd/2.14b1/announce.html
解压

	$ tar -zxvf NAMD_2.14b1_Source.tar.gz


进入目录

	$ cd NAMD_2.14b1_Source


解压 charm-6.8.2.tar

	$ tar xvf charm-6.8.2.tar


修改tests/ampi/mpich-test/confdb/aclocal_mp]]></description><category></category></item><item><title><![CDATA[爬取12306余票信息报错：json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)]]></title><link>https://blog.youkuaiyun.com/ralrk/article/details/104394766</link><guid>https://blog.youkuaiyun.com/ralrk/article/details/104394766</guid><author>ralrk</author><pubDate>Wed, 19 Feb 2020 16:23:17 +0800</pubDate><description><![CDATA[requests.get网址后报错，打印爬取到的信息显示为“网络可能存在问题，请您重试一下！”

原因为request.get()是独立的一次访问，没有携带前几个访问请求反馈后的状态，相当于把每次请求看成了独立浏览器去完成的，所以12306拒绝访问。

解决方法为增加cookie，直接写入header或者直接使用cookie，内容可以从自己浏览的网页中获得。


cookie = '''JSE...]]></description><category></category></item><item><title><![CDATA[关于shell中的变量名中引用变量]]></title><link>https://blog.youkuaiyun.com/ralrk/article/details/68488321</link><guid>https://blog.youkuaiyun.com/ralrk/article/details/68488321</guid><author>ralrk</author><pubDate>Thu, 30 Mar 2017 15:26:34 +0800</pubDate><description><![CDATA[a=123
b_123=456
一开始在脚本里写成了echo ${b_$a}，会报bad substitution
查阅资料后，这里令
c=b_$a
然后输出echo ${!c}就成功了。]]></description><category></category></item></channel></rss>