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Source code for caer.color._lab

#    _____           ______  _____
#  / ____/    /\    |  ____ |  __ \
# | |        /  \   | |__   | |__) | Caer - Modern Computer Vision
# | |       / /\ \  |  __|  |  _  /  Languages: Python, C, C++, Cuda
# | |___   / ____ \ | |____ | | \ \  http://github.com/jasmcaus/caer
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# 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 ..adorad import Tensor, to_tensor
from ._constants import LAB2BGR, LAB2RGB
from ._bgr import bgr2gray, bgr2hsv, bgr2hls, bgr2yuv, bgr2luv

__all__ = ['lab2rgb', 'lab2bgr', 'lab2gray', 'lab2hsv', 'lab2hls', 'lab2yuv', 'lab2luv']


def _is_lab_image(tens):
    # tens = to_tensor(tens)
    # return tens.is_lab()
    return len(tens.shape) == 3 and tens.shape[-1] == 3


[docs]def lab2rgb(tens) -> Tensor: r''' Converts an LAB Tensor to its RGB version. Args: tens (Tensor): Valid LAB Tensor Returns: RGB Tensor of shape ``(height, width, channels)`` Raises: ValueError: If `tens` is not of shape 3 ''' if not _is_lab_image(tens): raise ValueError( f'Tensor of shape 3 expected. Found shape {len(tens.shape)}. This function converts a LAB Tensor to its RGB counterpart' ) im = cv.cvtColor(tens, LAB2RGB) return to_tensor(im, cspace='rgb')
[docs]def lab2bgr(tens) -> Tensor: r''' Converts an LAB Tensor to its BGR version. Args: tens (Tensor): Valid LAB Tensor Returns: BGR Tensor of shape ``(height, width, channels)`` Raises: ValueError: If `tens` is not of shape 3 ''' if not _is_lab_image(tens): raise ValueError( f'Tensor of shape 3 expected. Found shape {len(tens.shape)}. This function converts a LAB Tensor to its BGR counterpart' ) im = cv.cvtColor(tens, LAB2BGR) return to_tensor(im, cspace='bgr')
[docs]def lab2gray(tens) -> Tensor: r''' Converts an LAB Tensor to its Grayscale version. Args: tens (Tensor): Valid LAB Tensor Returns: Grayscale Tensor of shape ``(height, width, channels)`` Raises: ValueError: If `tens` is not of shape 3 ''' if not _is_lab_image(tens): raise ValueError( f'Tensor of shape 3 expected. Found shape {len(tens.shape)}. This function converts a LAB Tensor to its Grayscale counterpart' ) bgr = lab2bgr(tens) im = bgr2gray(bgr) return to_tensor(im, cspace='gray')
[docs]def lab2hsv(tens) -> Tensor: r''' Converts an LAB Tensor to its HSV version. Args: tens (Tensor): Valid LAB Tensor Returns: HSV Tensor of shape ``(height, width, channels)`` Raises: ValueError: If `tens` is not of shape 3 ''' if not _is_lab_image(tens): raise ValueError( f'Tensor of shape 3 expected. Found shape {len(tens.shape)}. This function converts a LAB Tensor to its HSV counterpart' ) bgr = lab2bgr(tens) im = bgr2hsv(bgr) return to_tensor(im, cspace='hsv')
def lab2hls(tens) -> Tensor: r''' Converts an LAB Tensor to its HLS version. Args: tens (Tensor): Valid LAB Tensor Returns: HLS Tensor of shape ``(height, width, channels)`` Raises: ValueError: If `tens` is not of shape 3 ''' if not _is_lab_image(tens): raise ValueError( f'Tensor of shape 3 expected. Found shape {len(tens.shape)}. This function converts a LAB Tensor to its LAB counterpart' ) bgr = lab2bgr(tens) im = bgr2hls(bgr) return to_tensor(im, cspace='hls') def lab2yuv(tens) -> Tensor: r''' Converts an LAB Tensor to its YUV version. Args: tens (Tensor): Valid LAB Tensor Returns: YUV Tensor of shape ``(height, width, channels)`` Raises: ValueError: If `tens` is not of shape 3 ''' if not _is_lab_image(tens): raise ValueError( f'Tensor of shape 3 expected. Found shape {len(tens.shape)}. This function converts a LAB Tensor to its YUV counterpart' ) bgr = lab2bgr(tens) im = bgr2yuv(bgr) return to_tensor(im, cspace='yuv') def lab2luv(tens) -> Tensor: r''' Converts an LAB Tensor to its LUV version. Args: tens (Tensor): Valid LAB Tensor Returns: YUV Tensor of shape ``(height, width, channels)`` Raises: ValueError: If `tens` is not of shape 3 ''' if not _is_lab_image(tens): raise ValueError( f'Tensor of shape 3 expected. Found shape {len(tens.shape)}. This function converts a LAB Tensor to its LUV counterpart' ) bgr = lab2bgr(tens) im = bgr2luv(bgr) return to_tensor(im, cspace='luv')
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