I reviewed related issues here but there is still no correct way found.
Can you please provide your code to get the values?
I'm struggling to reproduce your result with the provided images(especially real, big size objects using colmap. not small, synthetic ones from blender).
I've always failed to get the reasonable rendering results, just seen so ambiguous images.
for example, in Wineholder case,
colmap shows reasonable result so that I can trust it.

(below is Fountain case,

But the bbox.txt using "https://github.com/yxie20/lego_nsvf/tree/master/poses" is :
-1.7405309358237018 0.8937903721375522 0.8837398050743352 2.0868807956960875 3.9037096850320445 3.3750371294069716 0.3239107072481569
and your provided bbox.txt is
-0.5884649 -0.44142154 -0.12279411 0.78653513 0.43357844 0.8772059 0.125.
it's totally different!
camera intrinsics are little similar
888.0 0.0 400.0 0.0
0.0 888.0 400.0 0.0
0.0 0.0 1.0 0.0
0.0 0.0 0.0 1.0
VS
875.000000 400.000000 400.000000 0.
0. 0. 0.
0.
1.
800 800
~
Thank you!
I reviewed related issues here but there is still no correct way found.
Can you please provide your code to get the values?
I'm struggling to reproduce your result with the provided images(especially real, big size objects using colmap. not small, synthetic ones from blender).
I've always failed to get the reasonable rendering results, just seen so ambiguous images.
for example, in Wineholder case,

colmap shows reasonable result so that I can trust it.
(below is Fountain case,

But the bbox.txt using "https://github.com/yxie20/lego_nsvf/tree/master/poses" is :
-1.7405309358237018 0.8937903721375522 0.8837398050743352 2.0868807956960875 3.9037096850320445 3.3750371294069716 0.3239107072481569
and your provided bbox.txt is
-0.5884649 -0.44142154 -0.12279411 0.78653513 0.43357844 0.8772059 0.125.
it's totally different!
camera intrinsics are little similar
888.0 0.0 400.0 0.0
0.0 888.0 400.0 0.0
0.0 0.0 1.0 0.0
0.0 0.0 0.0 1.0
VS
875.000000 400.000000 400.000000 0.
0. 0. 0.
0.
1.
800 800
~
Thank you!