---

This package fuction requres three argument one is path of the images folder and other is image_height and image_width.

https://docs.opencv.org/3.4/de/d25/imgproc_color_conversions.html

---

images_path = ('')

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

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

from images_into_array.images_into_array import images

array = images(images_path, image_height, image_width)

print(array.shape)

from images_into_array.images_into_array import rgb_gray

gray = rgb_gray(images_path, image_height, image_width)

print(array.shape)

from images_into_array.images_into_array import rgb_lab

lav = rgb_lab(images_path, image_height, image_width)

print(array.shape)

from images_into_array.images_into_array import rgb_hls

hls = rgb_hls(images_path, image_height, image_width)

print(array.shape)

from images_into_array.images_into_array import rgb_luv

luv = rgb_luv(images_path, image_height, image_width)

print(array.shape)

from images_into_array.images_into_array import rgb_hsv

hsv = rgb_hsv(images_path, image_height, image_width)

print(array.shape)

from images_into_array.images_into_array import rgb_ycrcb

ycrcb = rgb_ycrcb(images_path, image_height, image_width)

print(array.shape)

• conda install -c conda-forge opencv=4.2.0

• pip install shuffle

• pip install numpy

• pip install tqdm

MIT Licensed

Sujit Mandal

Github : https://github.com/sujitmandal

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