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2019

已经很久没有更新这个博客了,因为过去的一年多一直忙于学校的学习和实验室的研究项目。就在刚刚我在更新npm的时候,发现我的Hexo版本还是3.4多,所以借此机会更新一波,顺便写写博客。

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In my previous project, image stitching project, I found the size of keypoints will have an impact on the execution time and the quality of the stitching. No matter what feature detection methods, SIFT or SURF, we find that if we have too many keypoints, it also will spend much time to generate the descriptors of features as well as the matching of them. Moreover, the outliers, some bad ones of the keypoints will exacerbate the perspective transform matrix. The task becomes much more complicated. Ultimately, I found a useful tool inspired by the findHomography method of OpenCV. When I first met this method, I was totally fascinated by it and that's why I want to write about it.

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接前两篇文章 《一》 《二》 ### Git的分支管理 Git算是继SVN之后,成为越来越多人的代码托管工具,其设计极大地方便团队的远程协作:分布式仓库使得代码库不再需要中心式管理,灵活多变的版本滚动使得版本的容错性更强。当中,分支管理可算其一大亮点,成为产品迭代开发的绝佳法宝。

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算是一次偶然意外

在申请出了一些问题(GRE分数不太理想,只够申请一般的学校)之后,我毅然选择从申请的死胡同里跳出来,去开始海投简历,想要寻找一份实习工作。申请的岗位主要是Python相关,如大数据、机器学习、爬虫、机器视觉CV相关的。

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