GCNv2_SLAM
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GCN-SLAM runing only use RGB?
The GCN-SLAM using the RGB-D. And it can runing only use RGB?
Yes.
You just need to hack some codes in Tracking::GrabImageMonocular()
and overload Frame
constructor with GCNextractor
.
Yes. You just need to hack some codes in
Tracking::GrabImageMonocular()
and overloadFrame
constructor withGCNextractor
.
Can you tell the details?
Yes. You just need to hack some codes in
Tracking::GrabImageMonocular()
and overloadFrame
constructor withGCNextractor
.
Can you tell the details?
Yes. You just need to hack some codes in
Tracking::GrabImageMonocular()
and overloadFrame
constructor withGCNextractor
.Can you tell the details?
Hello,Did you solve it?
Yes. You just need to hack some codes in
Tracking::GrabImageMonocular()
and overloadFrame
constructor withGCNextractor
.
I'm currently hacking Track.cc and Frame.cc, already spent half a day now, the Tracking still returns a empty pose......
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?
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?
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.
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?
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?
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?
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