# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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#
# A PyTorch implementation of Neural 3D Mesh Renderer
#
# Copyright (c) 2017 Hiroharu Kato
# Copyright (c) 2018 Nikos Kolotouros
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from typing import Optional, Union
import torch
import kaolin as kal
[docs]def get_eye_from_spherical_coords(distance: torch.Tensor,
elevation: torch.Tensor,
azimuth: torch.Tensor,
degrees: Optional[bool] = True):
r"""Returns the Cartesian position of the eye of the camera, given
spherical coordinates (distance, azimuth, and elevation).
Args:
distance (torch.Tensor): Distance of the eye from the object.
elevation (torch.Tensor): Elevation angle.
azimuth (torch.Tensor): Azimuth angle.
degrees (bool, optional): Bool to indicate that `azimuth` and
`elevation` are specified in degrees (default: True).
Returns:
(torch.Tensor): Position of the "eye" of the camera.
"""
if degrees:
azimuth = kal.mathutils.deg2rad(azimuth)
elevation = kal.mathutils.deg2rad(elevation)
return torch.stack([
distance * torch.cos(elevation) * torch.sin(azimuth),
distance * torch.sin(elevation),
-distance * torch.cos(elevation) * torch.cos(azimuth)
]).transpose(1, 0)