Metadata-Version: 2.1
Name: images-into-array
Version: 2.0.3
Summary: Convert Multiple Images into a Array and Different Color Spaces into a Array
Home-page: https://github.com/sujitmandal/images-into-array
Author: Sujit Mandal
Author-email: mandals974@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown

[![Downloads](https://pepy.tech/badge/images-into-array)](https://pepy.tech/project/images-into-array)  

## Package Installation : 
```
pip install images-into-array
```
[Package LInk](https://pypi.org/project/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 :
-----------------
[OpenCV Document](https://docs.opencv.org/3.4/de/d25/imgproc_color_conversions.html)

## 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 L*a*b* :
```
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 L*u*v* :
```
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)

