Doubts about the scale transformation for the sparse points

[YZsZY]

Hello Author! I noticed that when loading the camera poses, the scale and position of the poses are spatially normalized using a scale mat to wrap the whole scene in a unit sphere, but I noticed that the sparse point cloud provided does not have such a normalization operation, whether the provided points.npy itself already did it?Otherwise it doesn't feel like it corresponds to the distribution of camera poses.

[YZsZY]

P = world_mat @ scale_mat
P = P[:3, :4]
intrinsics, pose = load_K_Rt_from_P(None, P)

while

pts_dir = os.path.join(self.data_dir, 'sfm_pts/points.npy')
view_id_dir = os.path.join(self.data_dir, 'sfm_pts/view_id.npy')

[YZsZY]

I make a visualization and find my guess is right

Since it has done the job of handling the scale of the point, why can't he handle the pose as well ^_^?