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Zero
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# 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)}")
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