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chenhsuanlin avatar chenhsuanlin commented on June 30, 2024

Hi @lllz815, you should run python3 evaluate.py [--args]; please see the README for details.

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lllz815 avatar lllz815 commented on June 30, 2024

Hi @lllz815, you should run python3 evaluate.py [--args]; please see the README for details.

thank for your replying ,now i train a barf with some picture which is taked by my ( xiao mi) phone ,i use the iphone.py and i do'nt know how to compute th focal ,so use raw_W*4.2/(12.8/2.55) as you ,but i finally get a bad result
i use the follow commend to train
python train.py --group=barf --model=barf --yaml=barf_iphone --name=iphone2 --data.scene=chair --arch.posenc!
and the follow commend to evaluate
python evaluate.py --group=barf --model=barf --yaml=barf_iphone --name=iphone2 --data.scene=chair --resume=10000 --arch.posenc!
my images are like this
14
and after evaluate get the result
depth_14
rgb_14

for this result ,canyou give me some suggesttions ,thanks very much!!

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chenhsuanlin avatar chenhsuanlin commented on June 30, 2024

Are you trying to capture the chair with an object-centric sequence? If so, you may want to check out some previous discussions (e.g. #19, #32). BARF will probably be unable to automagically find the camera poses from scratch if the scenes were not simple forward-facing; you may need to run COLMAP to find a good pose initialization first.

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