Convert Multiple Images into a Array and Different Color Spaces into a Array
Project description
Package Installation :
pip install images-into-array
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 :
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(array.shape)
RGB ↔ CIE Lab* :
from images_into_array.images_into_array import rgb_lab
lav = rgb_lab(images_path, image_height, image_width)
print(array.shape)
RGB ↔ HLS :
from images_into_array.images_into_array import rgb_hls
hls = rgb_hls(images_path, image_height, image_width)
print(array.shape)
RGB ↔ CIE Luv* :
from images_into_array.images_into_array import rgb_luv
luv = rgb_luv(images_path, image_height, image_width)
print(array.shape)
RGB ↔ HSV :
from images_into_array.images_into_array import rgb_hsv
hsv = rgb_hsv(images_path, image_height, image_width)
print(array.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(array.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](https://github.com/sujitmandal)
[LinkedIn](https://www.linkedin.com/in/sujit-mandal-91215013a/)
[Facebook](https://www.facebook.com/sujit.mandal.33671748)
[Twitter](https://twitter.com/mandalsujit37)
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