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Location of probabilistic semi-dense mapping module #46
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I asked about it some weeks ago. This was the answer: "We may release the code in the future, but I will not be soon. Best regards, LSD-SLAM seems to be the only available semi-dense mapping algorithm as of now: http://vision.in.tum.de/research/lsdslam |
That's very unfortunate, considering this is a feature mentioned on the ORB-SLAM front page. I believe that I am not the only one who cares about sem-dense mapping, so I'll keep this open as a bug to warn others that ORB-SLAM does not have this feature. |
It's not like Raul has some obligation to make his code public... |
@NikolausDemmel Absolutely true. But I wouldn't have spent any time on this had I known that semi-dense was not included. LSD-SLAM and rolling your own seems to be the two main ways at this time. |
Have they released it yet? |
Far as I've looked at it, they still haven't. I've moved on to LSD slam. You get what you see with that project. There's Josh On Oct 25, 2016 12:55 AM, "yash508oza" notifications@github.com wrote:
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@yash508oza we do not have plans to release the code for now. If you really need semi-dense reconstructions then you can try LSD-SLAM or DPPTAM. |
+1 |
I am trying to replicate and use your work as displayed in said paper and front youtube video.
https://www.youtube.com/watch?v=HlBmq70LKrQ
Have you released this module? If so, how do I call it appropriately? If not, what is your timeframe in which you will release it in this github?
Sincerely,
Josh Conway
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