# Copyright 2022 the Regents of the University of California, Nerfstudio Team and contributors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Common Colors""" from typing import Union import torch from jaxtyping import Float from torch import Tensor WHITE = torch.tensor([1.0, 1.0, 1.0]) BLACK = torch.tensor([0.0, 0.0, 0.0]) RED = torch.tensor([1.0, 0.0, 0.0]) GREEN = torch.tensor([0.0, 1.0, 0.0]) BLUE = torch.tensor([0.0, 0.0, 1.0]) COLORS_DICT = { "white": WHITE, "black": BLACK, "red": RED, "green": GREEN, "blue": BLUE, } def get_color(color: Union[str, list]) -> Float[Tensor, "3"]: """ Args: Color as a string or a rgb list Returns: Parsed color """ if isinstance(color, str): color = color.lower() if color not in COLORS_DICT: raise ValueError(f"{color} is not a valid preset color") return COLORS_DICT[color] if isinstance(color, list): if len(color) != 3: raise ValueError(f"Color should be 3 values (RGB) instead got {color}") return torch.tensor(color) raise ValueError(f"Color should be an RGB list or string, instead got {type(color)}")