rookiepig / crossscalestereo Goto Github PK
View Code? Open in Web Editor NEWCross-Scale Cost Aggregation for Stereo Matching (CVPR 2014)
License: GNU General Public License v2.0
Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014)
License: GNU General Public License v2.0
when you change opencv version yourself, and change CommFunc.h to your opencv version, but it still procuces this issue. That because you also need to change opencv version in /CAST/StereoDisparity.h .
When I tried to integrate the SSCA algorithm into my project, I encounterd this problem. The Chinese characters of the error information on this picture represents that the compiler could not find the identifier about "m_mst_value_sum_aggregated_from_child_to_parent", "m_mst_value_sum_aggregated_from_parent_to_child" and "m_mst_value_to_be_filtered". My running environment is as follows:
windows10,
Visual Studio 2019(community),
opencv 4.3.0.
Is there anyone who can help me with this problem? Thanks!
Hi,I want to know the meaning of the cost function.It is hard to understand for me.
Where is this come from?It looks not the same as :
cost=(1-lamda)costA+lamdacostB
Thanks~
Did you try your method using parallel computing? I know in your paper you calculate the time complexity although 1/7 seems not to much.(KITTI show your method need 140s ?)
你好,请问你所达到的计算时间是在debug模式下的吗,我用在debug下,时间都是30多秒,而且看了下都是在s.v阶段花的时间长。
Is there a readily available Linux installation package for CSSM (with cmake files etc), or do we need to create one on our own?
您好,请问您的论文里测试的M27的数据集使用的是原始分辨率的图像还是3倍下采样后的图像呢?看到您的论文里只有说新出的Middlebury 2014使用的是四分一分辨率的图像(这个可能是您的那篇TCSVT)。
还想请教您一个问题,就是我在利用左右视差真值计算被遮挡区域时,利用一致性计算(数据集给的SDK程序),但是通常得到的被遮挡图的左侧原本应该是被遮挡区域,而我计算得到的有的不是被遮挡,这个问题请问您当时是如何解决的?也就是左图的被遮挡区域应该包括左图像的最左侧几列的区域,而利用一致性计算时有时候那部分并不是遮挡区域。(我思考可能是因为那部分都是和相机平行的平面,视差与未被遮挡的部分相同,导致阈值选择为1时无法筛掉)主要针对Middlebury 2005及2006没有给出遮挡区域的图,故而想问问您!谢谢
hi,while run the program,I found memory leak in the program,but I dont know where the bug?
why I test on the kitti training set,my error is lower than your result ,futhermore,the difference is very big,because the dataset have been updated?thank you ,very much
It seems that ‘m_mst_value_sum_aggregated_from_parent_to_child’ was not declared in qx_tree_filter.cpp
I searched the whole project and didn't find the declaration of m_mst_value_sum_aggregated_from_parent_to_child
Hi,
I was wondering if it was possible to use this algorithm on unrectified images.
Thank you!
每当我键入参数后就自动结束程序,是键入的格式不对吗?
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