<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[折花入酒的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/c_php_</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; c_php_]]></copyright><item><title><![CDATA[【环境配置】：mmdetection安装]]></title><link>https://blog.youkuaiyun.com/c_php_/article/details/123697065</link><guid>https://blog.youkuaiyun.com/c_php_/article/details/123697065</guid><author>c_php_</author><pubDate>Wed, 23 Mar 2022 21:38:43 +0800</pubDate><description><![CDATA[https://mmdetection.readthedocs.io/zh_CN/latest/
https://github.com/open-mmlab/mmdetection
1、创建虚拟环境

2、激活虚拟环境
conda activate open-mmlab


3、安装cython

4、基于Pytorch官网安装 PyTorch 和 torchvision

5、根据cuda与torch版本安装mmcv

6、安装mmdet

7、各包版本

8、测试
在demo文件夹下新建test.py文]]></description><category></category></item><item><title><![CDATA[【数据处理】：（二）文本类]]></title><link>https://blog.youkuaiyun.com/c_php_/article/details/123556547</link><guid>https://blog.youkuaiyun.com/c_php_/article/details/123556547</guid><author>c_php_</author><pubDate>Thu, 17 Mar 2022 17:54:19 +0800</pubDate><description><![CDATA[一、读取arff文件
1、使用scipy.io中arff读取文件
import pandas as pd
from scipy.io import arff

data,meta = arff.loadarff("../Dry_Bean_Dataset/Dry_Bean_Dataset.arff")

2、转化为DataFrame
df =pd.DataFrame(data)
print(df.shape)
print(df.head())
print(df.isnull().sum())
print(df]]></description><category></category></item><item><title><![CDATA[【数据处理】：（一）图片类]]></title><link>https://blog.youkuaiyun.com/c_php_/article/details/123460620</link><guid>https://blog.youkuaiyun.com/c_php_/article/details/123460620</guid><author>c_php_</author><pubDate>Sun, 13 Mar 2022 15:52:06 +0800</pubDate><description><![CDATA[一、csv文件中包含图片地址与分类
1、先读取csv文件
train_data = pd.read_csv("../data/classify-leaves/train.csv")
test_data = pd.read_csv("../data/classify-leaves/test.csv")

2、将分类取出，得到classes
classes = sorted(list(set(train_data['label'])))

3、把classes转成对应的数字
classes_to_num = .]]></description><category></category></item><item><title><![CDATA[OpenGL实验二：绘制二维图形]]></title><link>https://blog.youkuaiyun.com/c_php_/article/details/102508682</link><guid>https://blog.youkuaiyun.com/c_php_/article/details/102508682</guid><author>c_php_</author><pubDate>Fri, 11 Oct 2019 19:48:23 +0800</pubDate><description><![CDATA[1．实验目的：
熟悉编程环境；了解光栅图形显示器的特点；了解计算机绘图的特点；利用VC+OpenGL作为开发平台设计程序，以能够在屏幕上生成任意一个像素点为本实验的结束。
2．实验内容：
（1） 了解和使用VC的开发环境，理解简单的OpenGL程序结构。
（2） 掌握OpenGL提供的基本图形函数，尤其是生成点的函数。
#include &lt;GL/glut.h&gt;
void display...]]></description><category></category></item><item><title><![CDATA[根据出生年月日算出天干地支星座属相]]></title><link>https://blog.youkuaiyun.com/c_php_/article/details/102503874</link><guid>https://blog.youkuaiyun.com/c_php_/article/details/102503874</guid><author>c_php_</author><pubDate>Fri, 11 Oct 2019 16:46:28 +0800</pubDate><description><![CDATA[出生年月日转化
输入：某人出生的年月日（如1995，8,1）
输出：输出对应的天干地支属相和星座信息
Tiangan = ["甲","乙","丙","丁","戊","已","庚","辛","壬","癸"]
Earthly_branch = ["子","丑","寅","卯","辰","巳","午","未","申","酉","戌","亥"]
Phase = ["鼠","牛","虎","兔","龙","...]]></description><category></category></item><item><title><![CDATA[OpenGL实验一：OpenGL环境配置]]></title><link>https://blog.youkuaiyun.com/c_php_/article/details/102499187</link><guid>https://blog.youkuaiyun.com/c_php_/article/details/102499187</guid><author>c_php_</author><pubDate>Fri, 11 Oct 2019 14:05:06 +0800</pubDate><description><![CDATA[OpenGL实验一：OpenGL环境配置
Windows环境下的GLUT本地下载地址：http://files.cnblogs.com/opengl/glut-install.zip（大小约为150k）
也可直接去官方网站下载:http://www.opengl.org/resources/libraries/glut/glutdlls37beta.zip
下载解压后有五个文件

一.window...]]></description><category></category></item></channel></rss>