<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[凭栏空对望~]]></title><description><![CDATA[图像处理、机器学习]]></description><link>https://blog.youkuaiyun.com/dc1994dc</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; dc1994dc]]></copyright><item><title><![CDATA[pytorch查找模型未使用的参数：RuntimeError: Expected to have finished reduction in the prior iteration before st]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/135558326</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/135558326</guid><author>dc1994dc</author><pubDate>Fri, 12 Jan 2024 17:25:45 +0800</pubDate><description><![CDATA[设置环境变量，打印参数，终端里输入：]]></description><category></category></item><item><title><![CDATA[多线程压缩工具pigz]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/129954539</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/129954539</guid><author>dc1994dc</author><pubDate>Tue, 04 Apr 2023 15:44:03 +0800</pubDate><description><![CDATA[pigz没有压缩文件夹的选项，只能压缩单个文件。]]></description><category></category></item><item><title><![CDATA[FCOS程序运行遇到的问题（FCOS: Fully Convolutional One-Stage Object Detection）]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/98766775</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/98766775</guid><author>dc1994dc</author><pubDate>Wed, 07 Aug 2019 17:50:45 +0800</pubDate><description><![CDATA[代码链接：https://github.com/tianzhi0549/FCOS

1. 按照INSTALL.md文件进行环境配置


# first, make sure that your conda is setup properly with the right environment
# for that, check that `which conda`, `which pip` an...]]></description><category></category></item><item><title><![CDATA[python复制图片和标注到另一个文件夹并重命名]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/94869996</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/94869996</guid><author>dc1994dc</author><pubDate>Sat, 06 Jul 2019 16:44:01 +0800</pubDate><description><![CDATA[图片和标注进行重新命名并保存到新的文件夹


imgpath = './img'
new_imgpath = './new_img'
jsonpath = './gt'
new_jsonpath = './new_json'

j = 0  #文件名起始
for root, dirs, files in os.walk(imgpath):
    for i in range(len(files...]]></description><category></category></item><item><title><![CDATA[Linux安装Anaconda以及pytorch]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/93492003</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/93492003</guid><author>dc1994dc</author><pubDate>Mon, 24 Jun 2019 16:03:35 +0800</pubDate><description><![CDATA[1.在官网选择Anaonda版本：https://www.anaconda.com/distribution/

下载好后通过运行下载好的.sh文件安装anaconda：

bash Anaconda********.sh

如需手动添加Anaconda安装路径系统环境变量中：

gedit ~/.bashrc

export PATH=/home/lq/anaconda3/bin:$PATH

...]]></description><category></category></item><item><title><![CDATA[离线环境下升级GCC版本（升级至gcc-5.4.0）]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/93335367</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/93335367</guid><author>dc1994dc</author><pubDate>Sat, 22 Jun 2019 16:41:23 +0800</pubDate><description><![CDATA[第一步：下载安装包，包括gcc-5.4.0安装包和依赖项gmp-4.3.2，mpc-1.0.1和mpfr-2.4.2

网址：gcc5.4.0网址http://ftp.gnu.org/gnu/gcc/gcc-5.4.0/gcc-5.4.0.tar.gz

gmp网址ftp://ftp.gnu.org/gnu/gmp/

mpfr网址http://ftp.gnu.org/gnu/mpfr/
...]]></description><category></category></item><item><title><![CDATA[ubuntu16.04在Anaconda环境下安装tensorflow、Spyder和opencv]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/82183512</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/82183512</guid><author>dc1994dc</author><pubDate>Wed, 29 Aug 2018 15:18:03 +0800</pubDate><description><![CDATA[Anaconda的安装包可以到官网下载，也可以在 https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/ 下载

输入


bash ./Anaconda3-5.0.0-Linux-x86_64.sh

安装Anaconda。

 

创建一个tensorflow环境


conda create -n tensorflow python=3....]]></description><category></category></item><item><title><![CDATA[win10使用Anaconda安装pytorch]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/80399012</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/80399012</guid><author>dc1994dc</author><pubDate>Mon, 21 May 2018 22:31:49 +0800</pubDate><description><![CDATA[本文以Python3.6为例Anaconda官网https://www.anaconda.com/download/打开pytorch官网https://pytorch.org/在右边选择相应的选项windows、conda、没有使用cuda，因此选none打开Anaconda Prompt，运行给的命令即可...]]></description><category></category></item><item><title><![CDATA[ubuntu下运行Python程序出现ImportError: No module named skimage]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/79162886</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/79162886</guid><author>dc1994dc</author><pubDate>Thu, 25 Jan 2018 15:55:47 +0800</pubDate><description><![CDATA[第一种可能是没有安装skimage或者部分依赖库没有安装：
python-skimage包依赖于matplotlib，scipy，pil，numpy和six。
首先安装依赖包：

sudo apt-get install python-matplotlib python-numpy python-pil python-scipy
sudo apt-get install build-es]]></description><category></category></item><item><title><![CDATA[tensorflow运行mnist出现TypeError: A Message class can only inherit from Message]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/79162657</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/79162657</guid><author>dc1994dc</author><pubDate>Thu, 25 Jan 2018 15:41:10 +0800</pubDate><description><![CDATA[在spyder中将preferences -> python interpreter中的User Module Reloader关掉，然后restart kernel]]></description><category></category></item><item><title><![CDATA[ubuntu16.04的caffe测试mnist出现cannot create cublas handle.cublas won't be available]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/78462613</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/78462613</guid><author>dc1994dc</author><pubDate>Mon, 06 Nov 2017 22:11:07 +0800</pubDate><description><![CDATA[刚装完的caffe编译通过后，用mnist测试出现了如下问题



网上查找后，有的说是驱动问题，在没有更改驱动的情况下，讲命令
./examples/mnist/train_lenet.sh换成
sudo ./examples/mnist/train_lenet.sh]]></description><category></category></item><item><title><![CDATA[caffe中将jpg数据转化为lmdb格式的文件]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/76165928</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/76165928</guid><author>dc1994dc</author><pubDate>Wed, 26 Jul 2017 21:38:12 +0800</pubDate><description><![CDATA[Linux下caffe中如何将自己的jpg格式的图片转化为lmdb格式的文件本文利用caffe自带的create_imagenet.sh文件进行转化，具体步骤如下。1 数据准备 
将图片数据和标注分别放好 
训练数据放在train文件夹里，测试数据放在val文件夹里。数据名称我用的数字，从0开始。对应的标注分别放在train.txt和val.txt。 
每个标注占一行，标注内容为：图片名称.jpg+]]></description><category></category></item><item><title><![CDATA[KNN分类程序（C++版本）]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/73771074</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/73771074</guid><author>dc1994dc</author><pubDate>Tue, 27 Jun 2017 10:16:29 +0800</pubDate><description><![CDATA[字符的特征向量放在txt文件中，从文件提取特征向量实现分类/*
 * KNN.输入：
第一行输入依次为：k(k<=10000)，特征向量的长度L(L<=100)，训练数据行数M(M>k, M<=10000)，测试数据行数N(N<=10000)为测试数据行数。
之后是M行训练数据和N行测试数据。每行中数据使用空格分隔。
输出：
预测类别测试数据：
3 5 16 2
0.19 0.04 0.06 0.2]]></description><category></category></item><item><title><![CDATA[opencv连续读取文件夹下的图片（python）]]></title><link>https://blog.youkuaiyun.com/dc1994dc/article/details/70232203</link><guid>https://blog.youkuaiyun.com/dc1994dc/article/details/70232203</guid><author>dc1994dc</author><pubDate>Tue, 18 Apr 2017 20:19:01 +0800</pubDate><description><![CDATA[网上有许多顺序读取图片的程序，但python下的很少，需要用到其他模块的函数，今天介绍一个最简单的：
cv2.imread()
使用方法：
for i in range(20)      #循环次数
image=cv2.imread("D:\\picture\\%d.jpg"%(i))#路径自己选择]]></description><category></category></item></channel></rss>