<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[DavieChars的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/DavieChars</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; DavieChars]]></copyright><item><title><![CDATA[Qt/C++代码里存在中文常量字符串时报错常量里存在换行符]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/143790133</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/143790133</guid><author>DavieChars</author><pubDate>Fri, 15 Nov 2024 11:10:52 +0800</pubDate><description><![CDATA[【代码】Qt/C++代码里存在中文常量字符串时报错常量里存在换行符。]]></description><category></category></item><item><title><![CDATA[昇思25天学习打卡营第3天|数据集Dataset]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/140004386</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/140004386</guid><author>DavieChars</author><pubDate>Thu, 27 Jun 2024 10:03:00 +0800</pubDate><description><![CDATA[数据集Dataset类在深度学习中一般用于加载原始数据，将原始数据初始化为易用的格式。在MindSpore中既有一些预加载的数据集，也提供了接口来自定义数据集。Minist数据集可以直接用包里的MinistDataset来加载# 下载数据集# 初始化数据集对象，加载数据集顾名思义，就是可以直接通过[i]来访问第i个样本的数据集。__len__。直接用List或tuple也是可以的。]]></description><category></category></item><item><title><![CDATA[昇思25天学习打卡营第2天|张量Tensor]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/139997128</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/139997128</guid><author>DavieChars</author><pubDate>Wed, 26 Jun 2024 20:21:32 +0800</pubDate><description><![CDATA[今天学习的是mindspore的张量Tensor。]]></description><category></category></item><item><title><![CDATA[昇思25天学习打卡营第1天|基本介绍与快速入门]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/139959533</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/139959533</guid><author>DavieChars</author><pubDate>Tue, 25 Jun 2024 15:41:27 +0800</pubDate><description><![CDATA[首先来看基本介绍，昇思MindSpore是华为的一个全场景深度学习框架，属于昇腾AI全栈的一部分。总体架构如下图所示（来自官方学习材料）从对底层多样性硬件适用的Runtime到应用层面的Model Zoo、科学计算、API等一应俱全。为用户提供不同Level的Python API，使不同层次的用户都可以很好地利用框架。MindSpore还支持全场景统一部署、分布式训练原生，总体来看是值得学习的一个框架。]]></description><category></category></item><item><title><![CDATA[VS2019编译一个带qrc项目时出现的问题]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/133929776</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/133929776</guid><author>DavieChars</author><pubDate>Thu, 19 Oct 2023 16:47:32 +0800</pubDate><description><![CDATA[跑中科大付老师的一个参数化的代码，原来的项目可能是用VS2015写的，编译的时候报错查了半天始终找不到解决方案，后来在log里发现执行这句的时候实际上执行的是]]></description><category></category></item><item><title><![CDATA[安装nvdiffrast后跑例子报错]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/132855631</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/132855631</guid><author>DavieChars</author><pubDate>Wed, 13 Sep 2023 15:41:56 +0800</pubDate><description><![CDATA[如上图，出现了一堆编译错误，主要是最后一句nvcc fatal   : Value ‘c++17’ is not defined for option ‘std’，看了一下/usr/bin/nvcc，发现是10.1版本的cuda，不支持c++17。然后source ~/.bashrc，就可以跑了。]]></description><category></category></item><item><title><![CDATA[使用vtkWindow报错Debug Assertion Failed ... mfc140d.dll]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/131290680</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/131290680</guid><author>DavieChars</author><pubDate>Mon, 19 Jun 2023 16:39:42 +0800</pubDate><description><![CDATA[vtk一个问题的解决]]></description><category></category></item><item><title><![CDATA[Boost库在windows上的使用]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/130207953</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/130207953</guid><author>DavieChars</author><pubDate>Mon, 17 Apr 2023 20:12:57 +0800</pubDate><description><![CDATA[Windows平台Boost库的配置]]></description><category></category></item><item><title><![CDATA[安装mayavi的成功步骤]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/129428776</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/129428776</guid><author>DavieChars</author><pubDate>Thu, 09 Mar 2023 19:03:50 +0800</pubDate><description><![CDATA[安装mayavi的时候踩了一些坑，这是一个实测可行的安装步骤]]></description><category></category></item><item><title><![CDATA[直方图均衡化]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/127156822</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/127156822</guid><author>DavieChars</author><pubDate>Mon, 03 Oct 2022 21:56:38 +0800</pubDate><description><![CDATA[数字图像处理学习笔记，直方图均衡化]]></description><category></category></item><item><title><![CDATA[图像几何变换]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/127066618</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/127066618</guid><author>DavieChars</author><pubDate>Tue, 27 Sep 2022 10:46:39 +0800</pubDate><description><![CDATA[平移、旋转、缩放的实现]]></description><category></category></item><item><title><![CDATA[一个基于multiprocessing的Server-Client实例]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/122750913</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/122750913</guid><author>DavieChars</author><pubDate>Sun, 30 Jan 2022 10:53:21 +0800</pubDate><description><![CDATA[一个简单的客户-服务多进程实例]]></description><category></category></item><item><title><![CDATA[multiprocessing模块用法与实例]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/122622776</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/122622776</guid><author>DavieChars</author><pubDate>Fri, 21 Jan 2022 15:37:13 +0800</pubDate><description><![CDATA[读书笔记

《Python并行编程实战》 第3章 基于进程的并行

multiprocessing
该模块是Python语言标准库的一部分，用于实现基于进程的并行。
1 理解multiprocessing模块
要求子进程能够进入main模块，即’__main__’
2 创建进程
2.1 准备工作
创建进程的步骤：

定义Process对象
调用进程的start()方法运行这个进程
调用进程的join()方法。它会等待，直到这个进程完成任务然后退出。

2.2 实现
import multiprocessin]]></description><category></category></item><item><title><![CDATA[关于stylegan3第一次运行编译filtered_lrelu_plugin出错的问题]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/121857265</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/121857265</guid><author>DavieChars</author><pubDate>Fri, 10 Dec 2021 15:29:03 +0800</pubDate><description><![CDATA[报错如下：
filtered_lrelu.cpp(147): error C4984: 'if constexpr' is a C++17 language extension

原因是我用的Visual studio 2017里的编译器好像是C++14的标准，但是这个语句是C++17的。自动学完C++就再也没碰过，所以只能摸索着整。尝试装了2022版本的，但是CUDA编译不支持。后来在stylegan3的官方库里找到一个issue是有大哥碰到了这个问题：
https://github.com/NVlabs]]></description><category></category></item><item><title><![CDATA[bat批处理执行过程中for循环内时间重复问题]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/121704324</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/121704324</guid><author>DavieChars</author><pubDate>Fri, 03 Dec 2021 18:00:59 +0800</pubDate><description><![CDATA[因为每次获取时间是个动态变量，所以要加上setlocal EnableDelayedExpansion，并且循环内对其的引用要用! !围起来
@echo off 
setlocal EnableDelayedExpansion
for %%i in (1,1,5) do ( 
set mytime=!time:~0,2!:!time:~3,2!:!time:~6,2!
echo TIME: !mytime!
pause
)


...]]></description><category></category></item><item><title><![CDATA[Ubuntu18.04修改DNS]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/121299816</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/121299816</guid><author>DavieChars</author><pubDate>Sat, 13 Nov 2021 08:48:35 +0800</pubDate><description><![CDATA[第一步：编辑 /etc/systemd/resolved.conf
sudo nano /etc/systemd/resolve.conf

第二步：添加要添加的DNS服务器地址
第三步：重启systemd-resolve服务
sudo systemctl restart systemctl-resolved

最后就可以进行正常解析了，ping 百度测试如下：


...]]></description><category></category></item><item><title><![CDATA[Windows10 PowerShell无法激活conda环境的解决方法]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/121274153</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/121274153</guid><author>DavieChars</author><pubDate>Thu, 11 Nov 2021 19:11:32 +0800</pubDate><description><![CDATA[第一步：开始菜单Anaconda目录下找到并打开Anaconda Prompt，输入
	conda init --all

重新打开PowerShell，如果出现红字且仍没有进去conda环境，那么以管理员身份打开PowerShell输入
	Set-ExecutionPolicy RemoteSigned

之后选Y，重新打开PowerShell就可以看到出现(base)字样了，输入conda activate XXX即可进入相应的虚拟环境

...]]></description><category></category></item><item><title><![CDATA[爬取baidu高清原图]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/120606080</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/120606080</guid><author>DavieChars</author><pubDate>Mon, 04 Oct 2021 17:45:18 +0800</pubDate><description><![CDATA[这里写自定义目录标题欢迎使用Markdown编辑器新的改变功能快捷键合理的创建标题，有助于目录的生成如何改变文本的样式插入链接与图片如何插入一段漂亮的代码片生成一个适合你的列表创建一个表格设定内容居中、居左、居右SmartyPants创建一个自定义列表如何创建一个注脚注释也是必不可少的KaTeX数学公式新的甘特图功能，丰富你的文章UML 图表FLowchart流程图导出与导入导出导入
欢迎使用Markdown编辑器
你好！ 这是你第一次使用 Markdown编辑器 所展示的欢迎页。如果你想学习如何使用Mar]]></description><category></category></item><item><title><![CDATA[利用python统计人员参加活动情况]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/118093536</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/118093536</guid><author>DavieChars</author><pubDate>Mon, 21 Jun 2021 20:07:28 +0800</pubDate><description><![CDATA[问题： 给出多个excel表，统计这些表中人员参加的情况
准备
利用模块：xlrd 1.2.0，2.x版本貌似不支持xlsx文件了
pip安装：
pip install xlrd==1.2.0

思路

读取指定目录的文件列表，并筛选出xlsx、xls结尾的文件列表
读取excel表，从中找出姓名那一列
向字典中插入新的键值对或已有键的情况下++
打印结果

代码
import os
import xlrd     #最新的xlrd不行，需要用1.2.0版本的

# 获取文件列表
path = '.'
fi]]></description><category></category></item><item><title><![CDATA[一个简单的nginx.conf备份]]></title><link>https://blog.youkuaiyun.com/DavieChars/article/details/117256899</link><guid>https://blog.youkuaiyun.com/DavieChars/article/details/117256899</guid><author>DavieChars</author><pubDate>Tue, 25 May 2021 15:18:33 +0800</pubDate><description><![CDATA[user www-data;
worker_processes auto;
pid /run/nginx.pid;
include /etc/nginx/modules-enabled/*.conf;

events {
	worker_connections 768;
	# multi_accept on;
}

http {

	sendfile on;
	tcp_nopush on;
	tcp_nodelay on;
	keepalive_timeout 65;
	types_hash_max_siz]]></description><category></category></item></channel></rss>