<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Jessica__Chan的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Jessica__Chan</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Jessica__Chan]]></copyright><item><title><![CDATA[github上传和更新自己代码的步骤]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/128630748</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/128630748</guid><author>Jessica__Chan</author><pubDate>Tue, 10 Jan 2023 15:16:48 +0800</pubDate><description><![CDATA[github上传和更新自己代码的步骤]]></description><category></category></item><item><title><![CDATA[MobileNet-V2的理解]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/118406506</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/118406506</guid><author>Jessica__Chan</author><pubDate>Fri, 02 Jul 2021 10:16:57 +0800</pubDate><description><![CDATA[线性瓶颈
线性瓶颈英文为Linear Bottleneck，是从Bottleneck结构演变而来的，被用于MobileNetV2与V3。
Bottleneck结构首次被提出是在ResNet网络中。该结构第一层使用逐点卷积，第二层使用3×3大小卷积核进行深度卷积，第三层再使用逐点卷积。MobileNet中的瓶颈结构最后一层逐点卷积使用的激活函数是Linear，所以称其为线性瓶颈结构（Linear Bottleneck）。线性瓶颈结构有两种，第一种是步长为1时使用残差结构，第二种是步长为2时不使用残差结构。..]]></description><category></category></item><item><title><![CDATA[ERROR: An NVIDIA kernel module ‘nvidia-drm‘ appears to already be loaded in your kernel.]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/118224245</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/118224245</guid><author>Jessica__Chan</author><pubDate>Fri, 25 Jun 2021 16:48:36 +0800</pubDate><description><![CDATA[安装显卡驱动时报错:
ERROR: An NVIDIA kernel module ‘nvidia-drm’ appears to already be loaded in your kernel.  This may be because it is in use (for example, by an X server, a CUDA program, or the NVIDIA Persistence Daemon), but this may also happen if your kernel w]]></description><category></category></item><item><title><![CDATA[RuntimeError: CUDA error: no kernel image is available for execution on the driver]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/114634539</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/114634539</guid><author>Jessica__Chan</author><pubDate>Wed, 10 Mar 2021 14:24:51 +0800</pubDate><description><![CDATA[问题：RuntimeError: CUDA error: no kernel image is available for execution on the driver, when use pytorch 1.7 on linux with RTX 3090
解决方案：pip install torch1.7.1+cu110 torchvision0.8.2+cu110 torchaudio===0.7.2 -f https://download.pytorch.org/whl/torch_stable.]]></description><category></category></item><item><title><![CDATA[LaTeX 表格指定宽度并居中]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/111476127</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/111476127</guid><author>Jessica__Chan</author><pubDate>Mon, 21 Dec 2020 15:32:17 +0800</pubDate><description><![CDATA[转载自：
https://blog.youkuaiyun.com/YhL_Leo/article/details/50532269

]]></description><category></category></item><item><title><![CDATA[ubuntu opencv 打开摄像头失败]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/110177085</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/110177085</guid><author>Jessica__Chan</author><pubDate>Thu, 26 Nov 2020 11:01:05 +0800</pubDate><description><![CDATA[参考：
https://www.it610.com/article/1294177719537442816.htm

]]></description><category></category></item><item><title><![CDATA[ubuntu设置机械硬盘]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/108319173</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/108319173</guid><author>Jessica__Chan</author><pubDate>Mon, 31 Aug 2020 13:06:29 +0800</pubDate><description><![CDATA[下载分区工具gparted：
sudo apt-get install gparted
sudo gparted

分区之后参考如下链接设置开机自动挂载
https://blog.youkuaiyun.com/iAm333/article/details/17224115

]]></description><category></category></item><item><title><![CDATA[Ubuntu 18.04 配置ibus中文拼音输入法]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/108315471</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/108315471</guid><author>Jessica__Chan</author><pubDate>Mon, 31 Aug 2020 09:42:33 +0800</pubDate><description><![CDATA[转自:https://blog.youkuaiyun.com/wu10188/article/details/86540464

]]></description><category></category></item><item><title><![CDATA[ubuntu 18.0安装NVIDIA显卡驱动报错ERROR : An error occurred while performing the step : ” Building kernel]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/107615013</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/107615013</guid><author>Jessica__Chan</author><pubDate>Mon, 27 Jul 2020 16:42:32 +0800</pubDate><description><![CDATA[根据文章：https://blog.youkuaiyun.com/weixin_40769885/article/details/90607545?utm_medium=distribute.pc_relevant.none-task-blog-baidujs-1&amp;spm=1001.2101.3001.4242
推断是因为根据某些教程安装驱动时升级了内核，重启之后新的内核和之前旧版本的驱动文件不匹配，导致无法安装驱动。
解决方法：内核降级

由于内核的升级是安装新版本内核的同时保留旧版内核，所以重启ubuntu]]></description><category></category></item><item><title><![CDATA[敏感性,特异性(sensitivity, specificity)的理解]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106419859</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106419859</guid><author>Jessica__Chan</author><pubDate>Fri, 29 May 2020 10:13:45 +0800</pubDate><description><![CDATA[添加链接描述
添加链接描述

]]></description><category></category></item><item><title><![CDATA[Pytorch中Softmax、Log_Softmax、NLLLoss以及CrossEntropyLoss的关系与区别详解]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106188105</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106188105</guid><author>Jessica__Chan</author><pubDate>Mon, 18 May 2020 10:37:32 +0800</pubDate><description><![CDATA[参考:
https://blog.youkuaiyun.com/qq_28418387/article/details/95918829?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase&amp;depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.noneca]]></description><category></category></item><item><title><![CDATA[语义分割评价指标：PA、CPA、MPA、IoU、MIoU详细总结]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106188019</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106188019</guid><author>Jessica__Chan</author><pubDate>Mon, 18 May 2020 10:35:55 +0800</pubDate><description><![CDATA[详解:
https://blog.youkuaiyun.com/sinat_29047129/article/details/103642140
混淆矩阵的计算理解:
https://blog.youkuaiyun.com/weixin_43143670/article/details/104722381
FWIoU频权交并比补充:
https://blog.youkuaiyun.com/majinlei121/article/details/78965435

]]></description><category></category></item><item><title><![CDATA[图像分割评测指标dice score的理解]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106187854</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106187854</guid><author>Jessica__Chan</author><pubDate>Mon, 18 May 2020 10:29:05 +0800</pubDate><description><![CDATA[参考:
https://blog.youkuaiyun.com/qwer7512090/article/details/92846558?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-6.nonecase&amp;depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-6.nonecase
https://blog.csdn.n]]></description><category></category></item><item><title><![CDATA[Matplotlib绘制三维散点图和曲线图]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106174670</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/106174670</guid><author>Jessica__Chan</author><pubDate>Sun, 17 May 2020 15:05:18 +0800</pubDate><description><![CDATA[整体架构参考：https://blog.youkuaiyun.com/weixin_41869644/article/details/89460329
设置标题、轴标签、刻度、刻度标签：https://blog.youkuaiyun.com/Asher117/article/details/85128463

]]></description><category></category></item><item><title><![CDATA[[python3] torndb中的itertools.zip[AttributeError: module 'itertools' has no attribute 'izip']]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105989057</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105989057</guid><author>Jessica__Chan</author><pubDate>Fri, 08 May 2020 10:01:20 +0800</pubDate><description><![CDATA[在python3中，使用torndb进行查询时，遇到问题 AttributeError: module ‘itertools’ has no attribute ‘izip’，解决该问题过程中耗费了不少时间，故把解决办法写下以便以后遇到该问题的人能更快速的解决：
因为python3中filter,map,zip本身就已经是generator了，所以torndb中的138行用到itertools.i...]]></description><category></category></item><item><title><![CDATA[python-FileNotFoundError: [Errno 2] No such file or directory:]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105680977</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105680977</guid><author>Jessica__Chan</author><pubDate>Wed, 22 Apr 2020 14:13:01 +0800</pubDate><description><![CDATA[需要将要打开的文件放在当前python程序下，而不是项目的根目录下。

]]></description><category></category></item><item><title><![CDATA[python3引入同一目录下的py文件]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105679902</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105679902</guid><author>Jessica__Chan</author><pubDate>Wed, 22 Apr 2020 13:26:33 +0800</pubDate><description><![CDATA[原因：python2与python3的包内import语法有区别
例如在a.py文件中要引入b.py文件：
1、在目录下有__init__.py文件
2、在a.py文件中加一行：from . import b
（如果要引入同一目录下的b.py文件中的一个类Hello，在a.py文件中加一行：from .b import Hello）
可以直接在__init__.py中import，在该目录下的文件...]]></description><category></category></item><item><title><![CDATA[图像分割评测指标MIOU之python代码详解]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105635351</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105635351</guid><author>Jessica__Chan</author><pubDate>Mon, 20 Apr 2020 15:42:00 +0800</pubDate><description><![CDATA[Pixel Accuracy(PA，像素精度)：这是最简单的度量，为标记正确的像素占总像素的比例。


Mean Pixel Accuracy(MPA，均像素精度)：是PA的一种简单提升，计算每个类内被正确分类像素数的比例，之后求所有类的平均。


Mean Intersection over Union(MIoU，均交并比)：为语义分割的标准度量。其计算两个集合的交集和并集之比，在语义分割的...]]></description><category></category></item><item><title><![CDATA[sys.path.insert()无法添加搜索路径]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105573465</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105573465</guid><author>Jessica__Chan</author><pubDate>Fri, 17 Apr 2020 09:53:02 +0800</pubDate><description><![CDATA[问题

sys.path.insert(0, './cityscapesScripts/cityscapesscripts/evaluation')
from city_meanIU import city_meanIU

找不到city_meanIU函数

尝试:
因无法在指定路径搜索到city_meanIU, 尝试将其复制到工程的库目录中, 运行程序时报错
解决办法
绝对不要修改工程库目录,...]]></description><category></category></item><item><title><![CDATA[U-Net图像分割网络的理解]]></title><link>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105394886</link><guid>https://blog.youkuaiyun.com/Jessica__Chan/article/details/105394886</guid><author>Jessica__Chan</author><pubDate>Wed, 08 Apr 2020 19:12:57 +0800</pubDate><description><![CDATA[输入输出
医学图像是一般相当大，但是分割时候不可能将原图太小输入网络，所以必须切成一张一张的小patch，在切成小patch的时候，Unet由于网络结构原因适合有overlap的切图，可以看图，红框是要分割区域，但是在切图时要包含周围区域，overlap另一个重要原因是周围overlap部分可以为分割区域边缘部分提供文理等信息。可以看黄框的边缘，分割结果并没有受到切成小patch而造成分割情况不好...]]></description><category></category></item></channel></rss>