Hi, I happened to stumble upon this :
In TrainDataset.get_render :
# Match camera space to image pixel space
scale_intrinsic = np.identity(4)
scale_intrinsic[0, 0] = scale / ortho_ratio
scale_intrinsic[1, 1] = -scale / ortho_ratio
scale_intrinsic[2, 2] = scale / ortho_ratio
In EvalDataset.get_render :
# Match camera space to image pixel space
scale_intrinsic = np.identity(4)
scale_intrinsic[0, 0] = scale / ortho_ratio
scale_intrinsic[1, 1] = -scale / ortho_ratio
scale_intrinsic[2, 2] = -scale / ortho_ratio
Is the fact that there is an additional minus sign in EvalDataset wanted ? If it is, I would be grateful if you could explain why these implementations are different :)
Hi, I happened to stumble upon this : In TrainDataset.get_render :
In EvalDataset.get_render :
Is the fact that there is an additional minus sign in EvalDataset wanted ? If it is, I would be grateful if you could explain why these implementations are different :)
Good day !