<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[goudy的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/goudy</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; goudy]]></copyright><item><title><![CDATA[OpenCV 4.3.0 源代码编译（Win10 + MinGW64）]]></title><link>https://blog.youkuaiyun.com/goudy/article/details/106652798</link><guid>https://blog.youkuaiyun.com/goudy/article/details/106652798</guid><author>goudy</author><pubDate>Tue, 09 Jun 2020 23:33:00 +0800</pubDate><description><![CDATA[想测试一下Python版本的 OpenCV 中的 cv2.xphoto.bm3dDenoising，谁知道这玩意儿是 Nonfree的，opencv-python 里没有这个包，卸载 opencv-python，安装 opencv-contrib-python 还是不行，只有空的接口，没有实现。只好自己下载源代码编译了。我不想装 Visual Studio，太庞大，我就用我电脑上的 MinGW64 吧。

1、在github下载opencv-4.3.0 源代码及 contrib 源代码，分别解压；

2、创]]></description><category></category></item><item><title><![CDATA[ICCV 2019 论文摘要提取]]></title><link>https://blog.youkuaiyun.com/goudy/article/details/104419892</link><guid>https://blog.youkuaiyun.com/goudy/article/details/104419892</guid><author>goudy</author><pubDate>Thu, 20 Feb 2020 22:49:21 +0800</pubDate><description><![CDATA[ICCV 1000多篇论文，用 python 提取出每篇论文的摘要，然后调用 Google翻译来翻译成中文。

论文改名，原文件名称是：作者_标题_ICCV_2019_paper.pdf， 去掉开始和结尾，缩短标题


import os
import glob

path = "F:\\BaiduNetdiskDownload\\ICCV2019"
files = glob.glob("F:\\...]]></description><category></category></item><item><title><![CDATA[DoRF数据集曲线绘制]]></title><link>https://blog.youkuaiyun.com/goudy/article/details/104311128</link><guid>https://blog.youkuaiyun.com/goudy/article/details/104311128</guid><author>goudy</author><pubDate>Fri, 14 Feb 2020 13:52:13 +0800</pubDate><description><![CDATA[相机响应函数（CRF）数据集 DoRF，响应曲线绘制


import numpy as np
import matplotlib.pyplot as plt

name = []
mode = []
dx = []
dy = []
matrix_x = np.zeros((201, 1024), dtype=np.float)
matrix_y = np.zeros((201, 1024), d...]]></description><category></category></item><item><title><![CDATA[RGB颜色空间转换小笔记]]></title><link>https://blog.youkuaiyun.com/goudy/article/details/104233526</link><guid>https://blog.youkuaiyun.com/goudy/article/details/104233526</guid><author>goudy</author><pubDate>Sun, 09 Feb 2020 12:32:04 +0800</pubDate><description><![CDATA[摘自书籍：AdvancedHigh Dynamic RangeImaging （second edition, 2018）
Francesco Banterle，Alessandro Artusi，Kurt Debattista，Alan Chalmers
CRC Press，Taylor &amp; Francis Group






sRGB presents a non-linea...]]></description><category></category></item><item><title><![CDATA[HDR视频中的色调映射算法对比（论文摘要）]]></title><link>https://blog.youkuaiyun.com/goudy/article/details/104228615</link><guid>https://blog.youkuaiyun.com/goudy/article/details/104228615</guid><author>goudy</author><pubDate>Sat, 08 Feb 2020 21:48:46 +0800</pubDate><description><![CDATA[A comparative review of tone-mapping algorithmsfor high dynamic range video. EUROGRAPHICS 2017

G. Eilertsen, R. K. Mantiuk, J. Unger


【摘要】色调映射是高动态范围（HDR）成像领域的关键组成部分。文献中可以找到的大量色调映射方法，这是该领域二十多年积极发展的...]]></description><category></category></item><item><title><![CDATA[摘录InfoQ上敏捷开发中用户故事相关的内容]]></title><link>https://blog.youkuaiyun.com/goudy/article/details/7028970</link><guid>https://blog.youkuaiyun.com/goudy/article/details/7028970</guid><author>goudy</author><pubDate>Wed, 30 Nov 2011 23:25:04 +0800</pubDate><description><![CDATA[最近我们进行敏捷开发模式试点，对于“用户故事”这一环节不够熟练。由于之前关注InfoQ比较多，把里面相关的内容进行搜集和整理。



用例还是用户故事？    http://www.infoq.com/cn/news/2008/08/use-case-or-user-story


每一个用户故事都包括三方面：

写下故事描述，用作计划和提示故事的对话为故事细节以测试作为细节的记]]></description><category></category></item><item><title><![CDATA[摘录Capgemini发布2010-2011年度敏捷调查报告]]></title><link>https://blog.youkuaiyun.com/goudy/article/details/6919081</link><guid>https://blog.youkuaiyun.com/goudy/article/details/6919081</guid><author>goudy</author><pubDate>Sun, 30 Oct 2011 17:28:00 +0800</pubDate><description><![CDATA[根据调查，企业认为采用敏捷带来的好处包括：
1. Time-to-market - 37%
2. Quality of Application - 26%
3. Resource utilization - 23%。
而成功应用敏捷的公司总结的最佳实践包括：
1. 设定合理的预期目标(Set realistic expectations)
2. 不要忽略质量(Do not ignore]]></description><category></category></item></channel></rss>