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Could you please clarify the way you calculate the re-projection error in case of perspective images ? in the LM_opt.py script - cost_func() why didn't you use the same calculations for both panoramic and perspective images ?
also there is a function in the script that isn't used at all (cost_func_min()), what is it for ?
I am using perspective images and I need to know if my extrinsic calibration is accurate, that is why I want to find the re-projection error.
Thanks.
The text was updated successfully, but these errors were encountered:
Could you please clarify the way you calculate the re-projection error in case of perspective images ? in the LM_opt.py script - cost_func() why didn't you use the same calculations for both panoramic and perspective images ?
also there is a function in the script that isn't used at all (cost_func_min()), what is it for ?
I am using perspective images and I need to know if my extrinsic calibration is accurate, that is why I want to find the re-projection error.
Thanks.
The text was updated successfully, but these errors were encountered: