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Convert-Images-Into-Array:

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Convert Multiple Images into a Array and Different Color Spaces into a Array.

Package Installation :

pip install images-into-array

Package Link

conda install -c conda-forge images-into-array

Conda Package Link

images-into-array-feedstock

Convert-Images-Into-Array:

Convert Multiple Images into a Array and Different Color Spaces into a Array.This package fuction requres three argument one is path of the images folder and other is image_height and image_width.

OpenCV Document :

OpenCV Document

How to import the module:

images_path = ('')

image_height = 'Enter The Image Size [32, 64, 128]'

image_width = 'Enter The Image Size [32, 64, 128]'

NORMAL :

from images_into_array.images_into_array import images

array = images(images_path, image_height, image_width)

print(array.shape)

RGB ↔ GRAY :

from images_into_array.images_into_array import rgb_gray

gray = rgb_gray(images_path, image_height, image_width)

print(gray.shape)

RGB ↔ CIE Lab* :

from images_into_array.images_into_array import rgb_lab

lav = rgb_lab(images_path, image_height, image_width)

print(lav.shape)

RGB ↔ HLS :

from images_into_array.images_into_array import rgb_hls

hls = rgb_hls(images_path, image_height, image_width)

print(hls.shape)

RGB ↔ CIE Luv* :

from images_into_array.images_into_array import rgb_luv

luv = rgb_luv(images_path, image_height, image_width)

print(luv.shape)

RGB ↔ HSV :

from images_into_array.images_into_array import rgb_hsv

hsv = rgb_hsv(images_path, image_height, image_width)

print(hsv.shape)

RGB ↔ YCrCb JPEG (or YCC) :

from images_into_array.images_into_array import rgb_ycrcb

ycrcb = rgb_ycrcb(images_path, image_height, image_width)

print(ycrcb.shape)

Required package’s:

• conda install -c conda-forge opencv=4.2.0

• pip install shuffle

• pip install numpy

• pip install tqdm

License:

MIT Licensed

Author:

Sujit Mandal

GitHub

PyPi

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