Source code for caer.color._bgr
# _____ ______ _____
# / ____/ /\ | ____ | __ \
# | | / \ | |__ | |__) | Caer - Modern Computer Vision
# | | / /\ \ | __| | _ / Languages: Python, C, C++, Cuda
# | |___ / ____ \ | |____ | | \ \ http://github.com/jasmcaus/caer
# \_____\/_/ \_ \______ |_| \_\
# Licensed under the MIT License <http://opensource.org/licenses/MIT>
# SPDX-License-Identifier: MIT
# Copyright (c) 2020-2021 The Caer Authors <http://github.com/jasmcaus>
import cv2 as cv
from ..coreten import Tensor, to_tensor
from ._constants import BGR2RGB, BGR2GRAY, BGR2HSV, BGR2LAB, BGR2HLS, BGR2YUV, BGR2LUV
__all__ = [
"bgr2gray",
"bgr2hsv",
"bgr2lab",
"bgr2rgb",
"bgr2hls",
"bgr2yuv",
"bgr2luv",
]
def _is_bgr_image(tens):
# tens = to_tensor(tens)
# return tens.is_bgr()
return len(tens.shape) == 3 and tens.shape[-1] == 3
[docs]def bgr2rgb(tens: Tensor) -> Tensor:
r"""
Converts a BGR Tensor to its RGB version.
Args:
tens (Tensor): Valid BGR Tensor
Returns:
RGB Tensor of shape ``(height, width, channels)``
Raises:
ValueError: If `tens` is not of shape 3
"""
if not _is_bgr_image(tens):
raise ValueError(
f"Tensor of shape 3 expected. Found shape {len(tens.shape)}. "
"This function converts a BGR Tensor to its RGB counterpart"
)
img = cv.cvtColor(tens, BGR2RGB)
return to_tensor(img, cspace="rgb")
[docs]def bgr2gray(tens: Tensor) -> Tensor:
r"""
Converts a BGR Tensor to its Grayscale version.
Args:
tens (Tensor): Valid BGR Tensor
Returns:
Grayscale Tensor of shape ``(height, width, channels)``
Raises:
ValueError: If `tens` is not of shape 3
"""
if not _is_bgr_image(tens):
raise ValueError(
f"Tensor of shape 3 expected. Found shape {len(tens.shape)}. "
"This function converts a BGR Tensor to its Grayscale counterpart"
)
tens = to_tensor(tens)
tens._nullprt() # raises a ValueError if we're dealing with a Foreign Tensor with illegal `.cspace` value
img = cv.cvtColor(tens, BGR2GRAY)
return to_tensor(img, cspace="gray")
[docs]def bgr2hsv(tens: Tensor) -> Tensor:
r"""
Converts a BGR Tensor to its HSV version.
Args:
tens (Tensor): Valid BGR Tensor
Returns:
HSV Tensor of shape ``(height, width, channels)``
Raises:
ValueError: If `tens` is not of shape 3
"""
if not _is_bgr_image(tens):
raise ValueError(
f"Tensor of shape 3 expected. Found shape {len(tens.shape)}. "
"This function converts a BGR Tensor to its HSV counterpart"
)
img = cv.cvtColor(tens, BGR2HSV)
return to_tensor(img, cspace="hsv")
[docs]def bgr2lab(tens: Tensor) -> Tensor:
r"""
Converts a BGR Tensor to its LAB version.
Args:
tens (Tensor): Valid BGR Tensor
Returns:
LAB Tensor of shape ``(height, width, channels)``
Raises:
ValueError: If `tens` is not of shape 3
"""
if not _is_bgr_image(tens):
raise ValueError(
f"Tensor of shape 3 expected. Found shape {len(tens.shape)}. "
"This function converts a BGR Tensor to its LAB counterpart"
)
img = cv.cvtColor(tens, BGR2LAB)
return to_tensor(img, cspace="lab")
def bgr2hls(tens: Tensor) -> Tensor:
r"""
Converts a BGR Tensor to its HLS version.
Args:
tens (Tensor): Valid BGR Tensor
Returns:
HLS Tensor of shape ``(height, width, channels)``
Raises:
ValueError: If `tens` is not of shape 3
"""
if not _is_bgr_image(tens):
raise ValueError(
f"Tensor of shape 3 expected. Found shape {len(tens.shape)}. "
"This function converts a BGR Tensor to its HLS counterpart"
)
img = cv.cvtColor(tens, BGR2HLS)
return to_tensor(img, cspace="hls")
def bgr2yuv(tens: Tensor) -> Tensor:
r"""
Converts a BGR Tensor to its YUV version.
Args:
tens (Tensor): Valid BGR Tensor
Returns:
YUV Tensor of shape ``(height, width, channels)``
Raises:
ValueError: If `tens` is not of shape 3
"""
if not _is_bgr_image(tens):
raise ValueError(
f"Tensor of shape 3 expected. Found shape {len(tens.shape)}. "
"This function converts a BGR Tensor to its YUV counterpart"
)
img = cv.cvtColor(tens, BGR2YUV)
return to_tensor(img, cspace="yuv")
def bgr2luv(tens: Tensor) -> Tensor:
r"""
Converts a BGR Tensor to its LUV version.
Args:
tens (Tensor): Valid BGR Tensor
Returns:
YUV Tensor of shape ``(height, width, channels)``
Raises:
ValueError: If `tens` is not of shape 3
"""
if not _is_bgr_image(tens):
raise ValueError(
f"Tensor of shape 3 expected. Found shape {len(tens.shape)}. "
"This function converts a BGR Tensor to its LUV counterpart"
)
img = cv.cvtColor(tens, BGR2LUV)
return to_tensor(img, cspace="luv")