jiexiong2016 / GCNv2_SLAM

Real-time SLAM system with deep features
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GCN-SLAM runing only use RGB? #39

Open jinzhenmu opened 4 years ago

jinzhenmu commented 4 years ago

The GCN-SLAM using the RGB-D. And it can runing only use RGB?

DreamWaterFound commented 2 years ago

Yes. You just need to hack some codes in Tracking::GrabImageMonocular() and overload Frame constructor with GCNextractor.

szgy66 commented 2 years ago

Yes. You just need to hack some codes in Tracking::GrabImageMonocular() and overload Frame constructor with GCNextractor.

Can you tell the details?

szgy66 commented 2 years ago

Yes. You just need to hack some codes in Tracking::GrabImageMonocular() and overload Frame constructor with GCNextractor.

Can you tell the details?

leslieburke commented 1 year ago

Yes. You just need to hack some codes in Tracking::GrabImageMonocular() and overload Frame constructor with GCNextractor.

Can you tell the details?

Hello,Did you solve it?

cyizhuo commented 1 year ago

Yes. You just need to hack some codes in Tracking::GrabImageMonocular() and overload Frame constructor with GCNextractor.

I'm currently hacking Track.cc and Frame.cc, already spent half a day now, the Tracking still returns a empty pose......

wahaahaaaa commented 7 months ago

是的。您只需要修改一些代码并Tracking::GrabImageMonocular()使用.Frame``GCNextractor

我目前正在破解Track.cc和Frame.cc,已经用了半天​​了,Tracking还是返回一个空的pose……

Did you succeed?

cyizhuo commented 7 months ago

是的。您只需要修改一些代码并Tracking::GrabImageMonocular()使用.FrameGCNextractor ``

我目前正在破解Track.cc和Frame.cc,已经用了半天​​了,Tracking还是返回一个空的pose……

Did you succeed?

Yes, I'll post my code later, but my result is that gcn works too slow on pure CPU, and it also lost track from time to time. I think we have to train our own feature model to achive better result. So I'm back to good old orb_slam3.

wahaahaaaa commented 7 months ago

是的。您只需要修改一些代码并Tracking::GrabImageMonocular()使用.FrameGCNextractor ``

我目前正在破解Track.cc和Frame.cc,已经用了半天​​了,Tracking还是返回一个空的pose……

Did you succeed?

Yes, I'll post my code later, but my result is that gcn works too slow on pure CPU, and it also lost track from time to time. I think we have to train our own feature model to achive better result. So I'm back to good old orb_slam3.

Thank you very much for your reply. When will the code be released?

cyizhuo commented 7 months ago

是的。您只需要修改一些代码并Tracking::GrabImageMonocular()使用.FrameGCNextractor ``

我目前正在破解Track.cc和Frame.cc,已经用了半天​​了,Tracking还是返回一个空的pose……

Did you succeed?

Yes, I'll post my code later, but my result is that gcn works too slow on pure CPU, and it also lost track from time to time. I think we have to train our own feature model to achive better result. So I'm back to good old orb_slam3.

Thank you very much for your reply. When will the code be released?

https://github.com/cyizhuo/GCNv2_SLAM_modified