On extrinsic preprocess

[ldz666666]

Hello, thanks for your great work
I wonder when applying mvsnerf on other types of data ( faces, bodys, for example ), what should i do with the extrinsic and the intrinsic in my own data.
To be more detailed
1: Do i need to convert the extrinsic matrix to opencv format? If so, do a simple matrix-multiplication between the extrinsic(c2w for my own data) and the blender2opencv matrix is enough ?
2: How should i deal with the scale factor and the downsample factor like what is in ./data/dtu.py. Do i need to perform intrinsic[:2] = intirnsic[:2]*4 when collecting intrinsic, and intrinsic[:2] = intrinsic[:2]/4 when calculating proj mats like in dtu.py, or directly perform dividing 4 without intrinsic[:2] = intirnsic[:2]*4.

Looking for your reply !

[jssyzsfzy]

Hello, thanks for your great work I wonder when applying mvsnerf on other types of data ( faces, bodys, for example ), what should i do with the extrinsic and the intrinsic in my own data. To be more detailed 1: Do i need to convert the extrinsic matrix to opencv format? If so, do a simple matrix-multiplication between the extrinsic(c2w for my own data) and the blender2opencv matrix is enough ? 2: How should i deal with the scale factor and the downsample factor like what is in ./data/dtu.py. Do i need to perform intrinsic[:2] = intirnsic[:2]*4 when collecting intrinsic, and intrinsic[:2] = intrinsic[:2]/4 when calculating proj mats like in dtu.py, or directly perform dividing 4 without intrinsic[:2] = intirnsic[:2]*4.

Looking for your reply !

have you solved this problem?