<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[everysigleday的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/everysigleday</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; everysigleday]]></copyright><item><title><![CDATA[【报错】ImportError: cannot import name ‘ComplexNorm‘ from ‘torchaudio.transforms‘]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/128202634</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/128202634</guid><author>everysigleday</author><pubDate>Tue, 06 Dec 2022 15:30:15 +0800</pubDate><description><![CDATA[报错
我的安装版本是
查了官方文档，
0.13.0到0.11.0都没有这个类，只有0.10.0有，我谢谢你啊解决方法
conda uninstall 已安装的]]></description><category></category></item><item><title><![CDATA[【torch】torch.roll]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/128182714</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/128182714</guid><author>everysigleday</author><pubDate>Mon, 05 Dec 2022 10:44:10 +0800</pubDate><description><![CDATA[张量滚动
input为输入张量
shift表示要滚动的幅度。负数表示左、上方向（二维时），正数表示右、下方向
dim表示在哪些维度上进行滚动。
如果dim给值，dim的len和shifts的len必须是一样的。比如dims=(a,b)），相当于在第a维度移x位，在b维度上移y位。]]></description><category></category></item><item><title><![CDATA[【torchaudio】常用函数和类]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/128144158</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/128144158</guid><author>everysigleday</author><pubDate>Mon, 05 Dec 2022 10:36:09 +0800</pubDate><description><![CDATA[将音频文件转化为tensor
函数输出两个值：音频信号和采样率，函数输入如下：
其中channels_first为True时，音频信号tensor的shape为[channel, time]，channel为声道数，time为各个时间点的信号值。如果channels_first为False，tensor的shape为[time, channels]
noirmalize参数并不执行音量的归一化，而是把采样点的数据类型从原来的类型转化为 。当输入格式为WAV的整数类型，比如32bit带符号整型，16bit带符]]></description><category></category></item><item><title><![CDATA[【飞桨报错】Could not build wheels for scikit-learn, required to install pyproject.toml-based projects]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/128012301</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/128012301</guid><author>everysigleday</author><pubDate>Thu, 24 Nov 2022 09:55:12 +0800</pubDate><description><![CDATA[我的环境是Python3.9。重新安装合适的Python，或者自己修改。飞桨paddlers要求安装。不支持Python3.9。]]></description><category></category></item><item><title><![CDATA[【gRPC报错】 Assignment not allowed to message, map, or repeated field “rect“ in protocol message object]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127987642</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127987642</guid><author>everysigleday</author><pubDate>Tue, 22 Nov 2022 18:44:32 +0800</pubDate><description><![CDATA[报错原因grpc中的字段rect不允许被赋值rect是的对象。]]></description><category></category></item><item><title><![CDATA[Pytorch报错 The truth value of an array with more than one element is ambiguous Use a.any() or a.all()]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127986377</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127986377</guid><author>everysigleday</author><pubDate>Tue, 22 Nov 2022 17:58:02 +0800</pubDate><description><![CDATA[时，无法直接得到一个非空的ndarray的布尔值，因此会报上述错误。列表中的项为[]或者shape为(n, 5)，当该项不为。]]></description><category></category></item><item><title><![CDATA[Python time模块获得当前时间]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127899919</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127899919</guid><author>everysigleday</author><pubDate>Thu, 17 Nov 2022 11:00:19 +0800</pubDate><description><![CDATA[模块可以获得当前时间。]]></description><category></category></item><item><title><![CDATA[【C++】冒泡排序]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127848823</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127848823</guid><author>everysigleday</author><pubDate>Mon, 14 Nov 2022 15:46:31 +0800</pubDate><description><![CDATA[通过多趟排序，达到从小到大或从大到小的排序。在每一趟排序，从头开始将待排序数据两两比较，根据排序规则将较大或较小的数据进行调换，直到处理完待排序数据，那么一个最大值或最小值就会置换到最后，像个bubble一样浮出水面。]]></description><category></category></item><item><title><![CDATA[AttributeError: ‘Manager‘ object has no attribute ‘_Manager__name‘]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127773019</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127773019</guid><author>everysigleday</author><pubDate>Wed, 09 Nov 2022 16:55:40 +0800</pubDate><description><![CDATA[合理猜测是因为__name是基类中的私有方法，而派生类访问了基类的私有方法引起报错。]]></description><category></category></item><item><title><![CDATA[TypeError: __init__() takes 3 positional arguments but 4 were given]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127772752</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127772752</guid><author>everysigleday</author><pubDate>Wed, 09 Nov 2022 16:41:46 +0800</pubDate><description><![CDATA[报错。]]></description><category></category></item><item><title><![CDATA[mmdet3.0系列 BaseDetDataset类]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127429399</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127429399</guid><author>everysigleday</author><pubDate>Fri, 21 Oct 2022 10:04:54 +0800</pubDate><description><![CDATA[BaseDetDataset类是mmdet3.0的base dataset for detection，位于mmdet/datasets中，继承了BaseDataset，来看看它里面有什么吧__init__增加了等属性，并且调用了父类的__init__函数，获得了其中定义的属性和BaseDataset中的相似，该函数会调用从标注文件中加载metainfo和data_list，得到处理好的列表True.同样也是yml、json或pickle等序列化文件，加载文件保存在中元素的proposal字段函数。]]></description><category></category></item><item><title><![CDATA[mmdet3.0系列 BaseDataset类]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127426920</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127426920</guid><author>everysigleday</author><pubDate>Thu, 20 Oct 2022 15:37:53 +0800</pubDate><description><![CDATA[mmdet3.0中，原先的CusomDataset变成了BaseDataset和用于detection的BaseDetDataset。BaseDataset位于mmengine中__init__在__init__函数中，调用BaseDataset中定义的函数进行对象的初始化在调用从annotation file中加载annotation调用根据filter_cfg对annotation进行过滤（可选）如果不为None，调用对dataset进行slice（可选）如果为True，调用将进行序列化。]]></description><category></category></item><item><title><![CDATA[PyTorch Learn the basics系列：2. Datasets & DataLoaders]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/127406960</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/127406960</guid><author>everysigleday</author><pubDate>Wed, 19 Oct 2022 15:17:36 +0800</pubDate><description><![CDATA[和，可以让你使用预先加载的数据集和你自己的数据集。Dataset储存样本和对应的labels，DataLoader在Dataset上包装了一个iterable，用来获取样本PyTorch库提供了许多预加载的数据集，比如FashionMNIST，这些数据集是的子集，针对特定的数据集数据做了函数实现。它们可以被用来prototype和benchmark你的模型。]]></description><category></category></item><item><title><![CDATA[apt-get update及更换源]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/105743534</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/105743534</guid><author>everysigleday</author><pubDate>Sat, 25 Apr 2020 00:57:04 +0800</pubDate><description><![CDATA[apt-get update及更换源

【本文仅是个人笔记，若带来不便，告知我修改】


由于是服务器上的操作，因此所有语句均省略sudo
报错无法截图


文章目录apt-get update及更换源什么是源（1）查看Ubuntu版本（2）备份包含源的文件（3）修改为阿里源和清华源（4）更新源(5) 修复坏的软件包(6) 更新软件

申请到新服务器了，今天打开准备做实验，git一下发现git没安...]]></description><category></category></item><item><title><![CDATA[11.5-1. Two Sum]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/102909151</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/102909151</guid><author>everysigleday</author><pubDate>Tue, 05 Nov 2019 09:52:47 +0800</pubDate><description><![CDATA[1. Two Sum

Takeaway:
用哈希表来检查数组中是否存在目标元素

题目描述

Given an array of integers, return indices of the two numbers such that they add up to a specific target.
You may assume that each input would have exac...]]></description><category></category></item><item><title><![CDATA[Unicode是什么编码，与ASCII的关系]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/98352512</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/98352512</guid><author>everysigleday</author><pubDate>Sat, 03 Aug 2019 17:08:34 +0800</pubDate><description><![CDATA[Unicode是什么编码，与ASCII的关系
今天在看Python的转义字符的时候，在字符串中写\uxxxx的时候出现错误：SyntaxError:UnicodeError,于是搜了一下Unicode。
ASCII码

就是用8位二进制来编码英文字母和其他字符
在美国，7位就够了，最高一位是0，共128个字符。
在其他国家是不够的，他们的文字和英文有出入，如法语在字母上有注音符号 é ，各个国家就...]]></description><category></category></item><item><title><![CDATA[深度学习Course1-week3课后作业-包含一个隐藏层的平面数据分类]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/95017693</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/95017693</guid><author>everysigleday</author><pubDate>Sun, 07 Jul 2019 19:13:34 +0800</pubDate><description><![CDATA[By completing this assignment you will:


Develop an intuition of back-propagation and see it work on data.


Recognize that the more hidden layers you have the more complex structure you could captur...]]></description><category></category></item><item><title><![CDATA[深度学习Course1-Week2课后作业-使用神经网络实现的logistic回归]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/93506191</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/93506191</guid><author>everysigleday</author><pubDate>Mon, 24 Jun 2019 18:14:55 +0800</pubDate><description><![CDATA[使用神经网络实现的logistic回归
week2
import numpy as np
import matplotlib.pyplot as plt
import h5py
import scipy
from PIL import Image
from scipy import ndimage
from lr_utils import load_dataset



## Loading th...]]></description><category></category></item><item><title><![CDATA[关于week2中的一些不熟悉的代码]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/93504617</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/93504617</guid><author>everysigleday</author><pubDate>Mon, 24 Jun 2019 17:53:35 +0800</pubDate><description><![CDATA[关于week2中的一些不熟悉的代码

from lr_utils import load_dataset

## Loading the data (cat/non-cat)
train_set_x_orig, train_set_y, test_set_x_orig, test_set_y, classes = load_dataset()

lr_utils是一个自己写的.py文件，从lr_...]]></description><category></category></item><item><title><![CDATA[课程1-week2-Python basics with numpy]]></title><link>https://blog.youkuaiyun.com/everysigleday/article/details/92838645</link><guid>https://blog.youkuaiyun.com/everysigleday/article/details/92838645</guid><author>everysigleday</author><pubDate>Wed, 19 Jun 2019 19:16:05 +0800</pubDate><description><![CDATA[Python basics with numpy
首先，了解IPython的使用方法：
What you need to remember:

Run your cells using SHIFT+ENTER (or “Run cell”)
Write code in the designated areas using Python 3 only
Do not modify the code o...]]></description><category></category></item></channel></rss>