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my solution would be modify the dataloader script based on tanksandtemple template. before stack poses, just use the same pattern as pose_fname and img_fname, create such folder structure for all intrinsic(after calibrate distortion. Put the calculation of ray part into the for loop among img_fname, pose_fname in read_meta() function. It works
Hi,
Great work!
I am wondering for my own dataset, is it possible to support different intrinsic for each camera?
In instant-ngp, we are able to do it by modify the transforms.json: NVlabs/instant-ngp#797
In your code I found that by design it is for only one camera, for example, the read_meta function
TensoRF/dataLoader/your_own_data.py
Line 39 in 17deeed
Any suggestions? Thanks a lot!
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