I'm coding some stereo matching algorithms. If you are interested in this work, please follow me, I hope my work is helpful to you!
我正在编写一些立体匹配算法,并免费开源。如果你对此工作感兴趣,欢迎关注我,希望它们能够给你的科研或工作提供一些帮助!
Blogs
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这是一个基于CUDA加速的快速立体匹配库,它的核心是SemiglobalMatching(SGM)算法,它不仅在时间效率上要远远优于基于CPU的常规SGM,而且占用明显更少的内存,这意味着它不仅可以在较低分辨率(百万级)图像上达到实时的帧率,且完全具备处理千万级甚至更高量级图像的能力。
I'm coding some stereo matching algorithms. If you are interested in this work, please follow me, I hope my work is helpful to you!
我正在编写一些立体匹配算法,并免费开源。如果你对此工作感兴趣,欢迎关注我,希望它们能够给你的科研或工作提供一些帮助!
Blogs
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你好,请问你的这个算法库的时效性是你设置的吗? 续期怎么续期呢?谢谢
博士您好,我们在调试运行时,如何在#Load all image pairs in specified folder更改vector str_paths所指定测试数据集文件夹
李博您好!看了Readme中您最近研究工作的效果,令我印象深刻。
我有个问题,诸如“数据2”中在Kitti 双目图像上计算得到的结果,其速率“95fps”是在何种硬件设备(CPU&GPU)上得到的呢?
希望我的问题能够得到李博的解答。非常感谢!
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