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Hi Yen @yenchenlin ,
Thank you so much for your work in transporting nerf to PyTorch! I found a little confused
when meet with the process in solving the look-at view matrix.
The questions are listed in the code below, I sincerely hope you answer, thank you very much!
The puzzled point occurs due to the inconformity between code and the definition as below
defviewmatrix(z, up, center):
""" right-handed coordinate system. """vec2=normalize(z)
vec1_avg=up# **fixme**# do I need to normalize the vec1_avg = normalize(up) # as well as reform the # vec2 as normalize(normalize(poses[:, :3, 2].sum(0)) - center)?vec0=normalize(np.cross(vec1_avg, vec2))
vec1=normalize(np.cross(vec2, vec0))
m=np.stack([vec0, vec1, vec2, center], 1)
# m (3, 4)returnmdefposes_avg(poses):
""" input: poses(N, 3, 5) output: c2w (N, 3, 5) Last dim(4) is height, width, and focal length. Dim (3) is the center (Could I regard it as the eye position?) Dim (2) is the z (However, I do not see a look - eye operation but only look) Dim (1) is the up vector, which represents the y axis. """hwf=poses[0, :3, -1:] # (3, 1)center=poses[:, :3, 3].mean(0) # (3,)vec2=normalize(poses[:, :3, 2].sum(0)) # (3,)up=poses[:, :3, 1].sum(0) # (3,)c2w=np.concatenate([viewmatrix(vec2, up, center), hwf], 1)
returnc2w
The text was updated successfully, but these errors were encountered:
Hi Yen @yenchenlin ,
Thank you so much for your work in transporting nerf to PyTorch! I found a little confused
when meet with the process in solving the
look-at view matrix
.The questions are listed in the code below, I sincerely hope you answer, thank you very much!
The puzzled point occurs due to the inconformity between code and the definition as below
The text was updated successfully, but these errors were encountered: