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Reconstruct and texture mesh failed! #31
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Is other bags exist the same error? |
hkust_campus bags can run, others run with the error :
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Your mapping is so wired...
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@ziv-lin version: 3.4.16 . I have uninstall all the other opencv version(include ros) . The eigen is also unique . opencv with cuda . |
Hmm, I have no clue why your result is so weird... Lastly, if possible, can you try it in a totally new environment or machine? Reference: |
@ziv-lin Thank U, I change the operation version to ubuntu 20.04 and rebuilt the project. It seems that it works very well and can reconstruct successfully. And it's no need to consider the problem of opencv version . By the way, I notice that you use boost library in this work, whether you will consider to develop multi-atlas function like orb-slam3, which is very useful in AR/VR? |
Nice, happy to hear that you have solved your problem. Even though I have no idea why your result was so weird on your previous computer. I have run orb-slam3 previously in this early year, which is actually, really great work in this field of research. However, I haven't had a careful look at its implementation yet. And, if possible, I will consider adding the multi-atlas functions by referring to orb-slam3. |
@ziv-lin Hi, I can reconstructed mesh textured_mesh.ply, but I have no idea how to import *.ply file into UE4 . It seems that UE4 dosen't support to import this kind of file directly on ubuntu. Can you tell me your method to achieve it. Thanks advance. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
Hi, Lin. It's really a great job, especially the reconstruct module.
However, I occurred some weird problems.
I can't reconstruct and texture mesh when I use hkust_campus_seq_01.bag .And sometimes with the error
catkin_r3live_ws/src/r3live/r3live/src/loam/IMU_Processing.cpp, 132, check_state fail !!!! -8.28157 -10.0624 -6.91589
It seems that there is only RGB_map_0 point cloud.
After save the map , the point cloud is very sparse.
so the final illustration as follows(include rgb_pt.pcd):
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