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How to train for the case of a real life object and blender-like camera setting #19
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Hi @dedoogong, from your description I'm guessing there could be several issues:
Typically if you don't see signs of BARF converging in 20k steps, then it probably won't in the end either. |
Hi @chenhsuanlin ! thanks so much for your kind thoughtful reply! |
hello thanks for the sharing~!
im trying to train barf with my custom dataset. I dont know the camera intrinsics and
the camera is located at 3 position(0, 30, 60 degree) spherically and an object is on the turn-table and took pics of it every 15 degrees.
so i have 72 pics ((pitch 0 yaw 15, 30, 45,...,360) and (pitch 30 yaw 15, 30, 45,...,360) and (pitch 60 yaw 15, 30, 45,...,360)).
so, even the camera is fixed per each pitch, its similar as blender style camera movement.
Barf support blender and llff but i failed to provide applicable camera pose information(.json or npz) as blender or llff dataloader.py need. so i tried to use iphone configuration.
i seems to train at a level. but is quite far from succeed after 200000steps.
i tried to initialize the camera pose spherically manually but it gives worse results.
please give me some hints to solve it.
thanks^^.
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