<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[HMH2_YY的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/HMH2_YY</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; HMH2_YY]]></copyright><item><title><![CDATA[BN （Batch Normlization） 批归一化]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/86493985</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/86493985</guid><author>HMH2_YY</author><pubDate>Tue, 15 Jan 2019 15:49:59 +0800</pubDate><description><![CDATA[BN，Batch Normalization, 属于Normalization中的一种归一化方式，所以在介绍BN之前，首先了解一下Normalization.
1. 为什么需要 Normalization 
在机器学习领域中，通常假设数据具有“独立同分布”的特性，这样可以简化常规机器学习模型的训练、提升机器学习模型的预测能力。
具体为什么要求“独立同分布”，也附上相关解释：

关于独立同分布，西瓜...]]></description><category></category></item><item><title><![CDATA[pytorch中transform函数详解]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/85099523</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/85099523</guid><author>HMH2_YY</author><pubDate>Wed, 19 Dec 2018 16:08:14 +0800</pubDate><description><![CDATA[transforms模块详解
torchvision.transforms是pytorch中的图像预处理包，包含了很多种对图像数据进行变换的函数，这些都是在我们进行图像数据读入步骤中必不可少的。
data_transforms = transforms.Compose([
        transforms.RandomResizedCrop(224),
        transforms.R...]]></description><category></category></item><item><title><![CDATA[解决PyCharm import torch包失败的问题]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/85096392</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/85096392</guid><author>HMH2_YY</author><pubDate>Wed, 19 Dec 2018 14:30:48 +0800</pubDate><description><![CDATA[pycharm 导入torch失败Problem解决方案在Project Interpreter选择“Show All...”菜单点击“+”，新增新的Interpreter选择Anaconda3目录下的python3.6文件Update Interpreter测试代码
Problem

解决方案
在Project Interpreter选择“Show All…”菜单
Show All...

点击...]]></description><category></category></item><item><title><![CDATA[python numpy看这一篇就够了]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/84595154</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/84595154</guid><author>HMH2_YY</author><pubDate>Thu, 29 Nov 2018 00:28:46 +0800</pubDate><description><![CDATA[numpy科学计算工具numpy基础ndarray 多维数组(N Dimension Array)ndarray的随机创建ndarray的序列创建ndarray的数据类型ndarray的矩阵运算ndarray的索引与切片ndarray的维数转换numpy中的nan和infndarry缺失值填充均值数组的拼接数组的行列交换numpy中常用统计函数元素判断函数元素去重排序函数numpy读取数据
num...]]></description><category></category></item><item><title><![CDATA[mask rcnn 测试指定图片]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/81980123</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/81980123</guid><author>HMH2_YY</author><pubDate>Thu, 23 Aug 2018 14:21:58 +0800</pubDate><description><![CDATA[这篇演示如何修改demo.py，来指定自己想要测试的图片，直接贴代码


# coding: utf-8
 
 
import os
import sys
import random
import math
import numpy as np
import skimage.io
import matplotlib
import matplotlib.pyplot as plt
 
# Root ...]]></description><category></category></item><item><title><![CDATA[mask rcnn 使用COCO权重进行特定类别预测]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/81949866</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/81949866</guid><author>HMH2_YY</author><pubDate>Wed, 22 Aug 2018 19:53:10 +0800</pubDate><description><![CDATA[这篇主要是记录一下我在测试时遇到的错误


# coding: utf-8


import os
import sys
import random
import math
import numpy as np
import skimage.io
import matplotlib
import matplotlib.pyplot as plt

# Root directory of the p...]]></description><category></category></item><item><title><![CDATA[matterport  Mask_RCNN配置 ·「GPU」]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/81875323</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/81875323</guid><author>HMH2_YY</author><pubDate>Mon, 20 Aug 2018 18:17:11 +0800</pubDate><description><![CDATA[这篇主要是讲如何配置Mask RCNN(基于tensorflow + keras的gpu版本), github地址： https://github.com/matterport/Mask_RCNN

Step 1 : 安装anaconda

从官网https://www.anaconda.com/download/上下载适合自己的版本，如果嫌速度慢，可以从该网址下载：Anaconda清华镜像   ...]]></description><category></category></item><item><title><![CDATA[关于FCN 论文中的 Shift-and-stitch 的详尽解释]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/80935394</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/80935394</guid><author>HMH2_YY</author><pubDate>Fri, 06 Jul 2018 08:31:00 +0800</pubDate><description><![CDATA[
本篇属于转载，原文出自：点击打开链接点击打开链接

首先思考一个问题：


当网络最后一层输出的 prediciton map size 和 label map size 不匹配时，除了 cropping, resize 等暴力措施，且不采取 bilinear , uppooling, deconvolution 等decoder 结构， 为了实现 dense prediction , 该怎么做...]]></description><category></category></item><item><title><![CDATA[python3.6 f-string的高级用法]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/80853509</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/80853509</guid><author>HMH2_YY</author><pubDate>Fri, 29 Jun 2018 10:45:57 +0800</pubDate><description><![CDATA[格式化字符串的三种方式]]></description><category></category></item><item><title><![CDATA[Ubuntu 16.04 下修改默认的Python版本]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/80849888</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/80849888</guid><author>HMH2_YY</author><pubDate>Thu, 28 Jun 2018 22:30:31 +0800</pubDate><description><![CDATA[Ubuntu默认的Python是2.7版本的，想修改为Python3 可以通过软链接的方式：ubuntu@user~$:python --version
Python 2.7搜索系统是否已经安装Python3:ubuntu@user~$:whereis python3如果结果里有/usr/bin/python3说明已经安装，如果没有则需要手动安装。下面进行python切换：1.删除/usr/bin...]]></description><category></category></item><item><title><![CDATA[cifar10数据集的训练测试及ResNet20模型测试]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/78540063</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/78540063</guid><author>HMH2_YY</author><pubDate>Wed, 15 Nov 2017 13:56:53 +0800</pubDate><description><![CDATA[参考博客：http://blog.youkuaiyun.com/hongbin_xu/article/details/76407581cifar10数据集:http://www.cs.toronto.edu/~kriz/cifar.htmlCIFAR-10数据集包括由10个类别的事物，每个事物各有6000张彩色图像，每张图片的大小是32*32。 
整个数据集被分成了5个训练集和1个测试集，各有10000张图片，]]></description><category></category></item><item><title><![CDATA[ubuntu16.04配置caffeCPU版常遇到的问题总结]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/78474214</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/78474214</guid><author>HMH2_YY</author><pubDate>Wed, 08 Nov 2017 01:27:27 +0800</pubDate><description><![CDATA[这两篇篇基本都把问题总结到了，写的很好～～～～http://blog.youkuaiyun.com/bbzz2/article/details/55261492稍微比较难解决的问题可能就这个了：caffe 编译中出现的错误——fatal error: hdf5.h: 没有那个文件或目录http://blog.youkuaiyun.com/xue_wenyuan/article/details/52037121]]></description><category></category></item><item><title><![CDATA[ubuntu1６.04安装CPU版SSD及caffe配置，训练及测试过程]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/78444406</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/78444406</guid><author>HMH2_YY</author><pubDate>Sat, 04 Nov 2017 16:43:50 +0800</pubDate><description><![CDATA[CPU版SSD(Single Shot MultiBox Detector)/Caffe版本github链接：https://github.com/weiliu89/caffe/tree/ssdSSD是16年ECCV一篇深度学习目标检测的文章，本文主要讲如何实现 
参考博文： 
http://blog.youkuaiyun.com/gaohuazhao/article/details/72664145?loca]]></description><category></category></item><item><title><![CDATA[Caffe命令行解析及log日志文件生成]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/78439095</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/78439095</guid><author>HMH2_YY</author><pubDate>Fri, 03 Nov 2017 19:42:56 +0800</pubDate><description><![CDATA[１．查看caffe命令选项 cd caffe
./build/tools/caffecaffe程序的命令行执行格式如下： 
　caffe <command> <args>command有四种选项：train—-训练或finetune模型（model) 
test—–测试模型 
device_query—显示gpu信息 
time—–显示程序执行时间args参数有：-solver 
-gpu 
-sn]]></description><category></category></item><item><title><![CDATA[Caffe下使用draw_net.py绘制lenet网络结构图]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/78430875</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/78430875</guid><author>HMH2_YY</author><pubDate>Fri, 03 Nov 2017 00:40:10 +0800</pubDate><description><![CDATA[一.安装库： 
python/draw_net.py, 这个文件，就是用来绘制网络模型的。也就是将网络模型由prototxt变成一张图片。在绘制之前，需要先安装两个库１、安装ＧraphVizsudo susudo apt-get insall graphviz ＃这里用的是apt-get来安装，而不是pip.2 、安装pydotsudo pip install pydot　＃pip安装pydot
p]]></description><category></category></item><item><title><![CDATA[Mnist数据集测试Caffe]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/78428435</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/78428435</guid><author>HMH2_YY</author><pubDate>Thu, 02 Nov 2017 19:31:23 +0800</pubDate><description><![CDATA[1、准备数据cd caffe
sudo sh ./data/mnist/get_mnist.sh
sudo sh ./examples/mnist/create_mnist.sh2、修改配置 
修改该目录下的prototxt扩展名配置文件: 修改./examples/mnist/lenet_solver.prototxt, 定位到最后一行：solver_mode: GPU，将GPU改为CPU。 使用]]></description><category></category></item><item><title><![CDATA[ubuntu16.04配置caffe（CPU版）]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/78428009</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/78428009</guid><author>HMH2_YY</author><pubDate>Thu, 02 Nov 2017 18:36:59 +0800</pubDate><description><![CDATA[参考博文：http://blog.youkuaiyun.com/u013989576/article/details/56677749一、安装依赖项 
把下面四个命令依次复制运行即可；sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compile]]></description><category></category></item><item><title><![CDATA[PyQt5 用QSqlTableModel操作sql数据库（插入新的列和setFilter()的使用）]]></title><link>https://blog.youkuaiyun.com/HMH2_YY/article/details/78379624</link><guid>https://blog.youkuaiyun.com/HMH2_YY/article/details/78379624</guid><author>HMH2_YY</author><pubDate>Sat, 28 Oct 2017 21:36:21 +0800</pubDate><description><![CDATA[这篇主要是解决在pyqt5中，如何用QSqlTableModel模型为数据库添加新列，以及在执行查询操作时，如何使用setFilter()进行过滤。 
添加新列之前： self.model = QSqlTableModel(self)
 self.model.setTable("reference")
 self.model.setSort(ID, Qt.AscendingOrder)
 self.]]></description><category></category></item></channel></rss>