<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[hfw6310的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/hfw6310</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; hfw6310]]></copyright><item><title><![CDATA[启动类中SpringApplication.run出现红线]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/120117982</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/120117982</guid><author>hfw6310</author><pubDate>Sun, 05 Sep 2021 17:26:33 +0800</pubDate><description><![CDATA[原因为maven中未引入该模块的pom.xml文件管理，如下图操作即可解决












]]></description><category></category></item><item><title><![CDATA[将np.array对象转换为PIL图像格式]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/107412535</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/107412535</guid><author>hfw6310</author><pubDate>Fri, 17 Jul 2020 17:26:39 +0800</pubDate><description><![CDATA[出错的代码：

# doing this so that it is consistent with all other datasets
# to return a PIL Image

 img = Image.fromarray(img)

# img.shape: (112,112,1) #我的数据集是灰度图

报错：

KeyError: ((1, 1, 1), '|u1')

TypeError: Cannot handle this data type

解决办法：问题是数据的形状。枕...]]></description><category></category></item><item><title><![CDATA[pytorch 多显卡选择训练]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/107018434</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/107018434</guid><author>hfw6310</author><pubDate>Mon, 29 Jun 2020 13:27:02 +0800</pubDate><description><![CDATA[训练时在命令前加上 CUDA_VISIBLE_DEVICES=0,1,2 进行选择，如下：选择5号显卡训练

CUDA_VISIBLE_DEVICES=5 python train.py --net_type pyramidnet --dataset imagenet --batch_size 256 --lr 0.25 --expname PyraNet200 --epochs 10 --beta 1.0 --cutmix_prob 1.0 --no-verbose
...]]></description><category></category></item><item><title><![CDATA[Pytorch 加载单通道图片用作数据集训练和测试]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/107002787</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/107002787</guid><author>hfw6310</author><pubDate>Sun, 28 Jun 2020 16:42:11 +0800</pubDate><description><![CDATA[用transforms.Grayscale(1)来实现。如下所示：
train_dataset = datasets.ImageFolder(
    traindir,
    transforms.Compose([
        #transforms.RandomResizedCrop(224),
        transforms.Resize((112,112)),
        transforms.RandomHorizontalFlip(),
        transforms..]]></description><category></category></item><item><title><![CDATA[记录pytorch中DataLoader()过程中遇到的问题]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/106992968</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/106992968</guid><author>hfw6310</author><pubDate>Sun, 28 Jun 2020 09:53:00 +0800</pubDate><description><![CDATA[RuntimeError: stack expects each tensor to be equal size, but got [3, 60, 32] at entry 0 and [3, 54, 32] at entry 2



原因是训练集和测试集中图片中既有灰度图又有RGB图像，

解决办法：把RGB图像全部转换为灰度图
]]></description><category></category></item><item><title><![CDATA[使用pandas 进行缺失值与空值处理]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/105814707</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/105814707</guid><author>hfw6310</author><pubDate>Tue, 28 Apr 2020 15:25:53 +0800</pubDate><description><![CDATA[相关函数

df.dropna()

df.fillna()

df.isnull()

df.isna()

相关概念

空值：在pandas中的空值是""

缺失值：在dataframe中为nan或者naT（缺失时间），在series中为none或者nan即可



df.isnull().sum()直接告诉了我们每列缺失值的数量。
...]]></description><category></category></item><item><title><![CDATA[Hadoop快速入门]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/105435044</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/105435044</guid><author>hfw6310</author><pubDate>Fri, 10 Apr 2020 15:47:16 +0800</pubDate><description><![CDATA[一.hadoop是什么
Hadoop被公认是一套行业大数据标准开源软件，在分布式环境下提供了海量数据的处理能力。几乎所有主流厂商都围绕Hadoop开发工具、开源软件、商业化工具和技术服务。今年大型IT公司，如EMC、Microsoft、Intel、Teradata、Cisco都明显增加了Hadoop方面的投入。



二 .hadoop能干什么
hadoop擅长日志分析，facebook就用Hi...]]></description><category></category></item><item><title><![CDATA[Python3字典无has_key()方法]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/105421741</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/105421741</guid><author>hfw6310</author><pubDate>Thu, 09 Apr 2020 22:20:28 +0800</pubDate><description><![CDATA[AttributeError                            Traceback (most recent call last)
&lt;ipython-input-5-6c2aec2b2583&gt; in &lt;module&gt;()
     36     i = u1; #int(u1)-1
     37     j = u2; #int(u2)-1
--...]]></description><category></category></item><item><title><![CDATA[leetcode之]]></title><link>https://blog.youkuaiyun.com/hfw6310/article/details/99751288</link><guid>https://blog.youkuaiyun.com/hfw6310/article/details/99751288</guid><author>hfw6310</author><pubDate>Mon, 19 Aug 2019 19:10:33 +0800</pubDate><description><![CDATA[1，两数 之和

善于使用字典{ }-有时候对于简化代码有奇效, enumerate( ) 等

2，两数相加-（使用链表存储）

链表:由一组被称为结点的数据元素组成的数据结构，每个结点都包含结点本身的信息和指向下一个结点的地址。

在python中，string、tuples、numbers是不可更改的对象；而list、dict等则是可以修改的对象。-python中参数传递的本质？

3.无重...]]></description><category></category></item></channel></rss>