ProcImage 0.0.1

A small example package

Proc_Image

Small and simple image processing library

#How to Install The Library?

pip install ProcImage

First, this is a simple and compact package for image processing and hardware management developed using the Pillow package

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• First: This package contains two volumes, the first folder is called Image_ This folder contains a file called image_processing.py and this file is for image processing

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• Secondly: The second folder is called organize and this folder contains a file called organize_hard.py for organizing the that arranges the pictures, folders, applications, etc... It arranges and organizes them well and neatly.

1- Now: We start giving examples of the folder Image_ We agree that this folder contains a Python file named processing_image.py and this file contains several functions. We will now give examples of these functions in this file.

Let's take an example : about the function get_list(path) it takes the path of a folder and then returns all the images as a table

from image_processing import ImageProcessing

my_object = ImageProcessing()
print(my_object.get_list(r"C:\Users\Alaa\Pictures"))

Output

Name Image
33.jpg
A.jpg
aesthetic-ocean-cell-phone-art-94x4pcvrtazi8upm.jpg
palm-tree-1.jpg
rr.jpg
test.jpg
test1.jpg
veidz.jpg

['33.jpg', 'A.jpg', 'aesthetic-ocean-cell-phone-art-94x4pcvrtazi8upm.jpg', 'palm-tree-1.jpg', 'rr.jpg', 'test.jpg', 'test1.jpg', 'veidz.jpg']

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Example Two

The first function get_list_sorted(main_path , answer) takes the full path of the target image folder,

###and takes the user's answer, in order to arrange the images in ascending or descending order. In the entered folder

from image_processing import ImageProcessing
my_object = ImageProcessing()

print(my_object.get_list_sorted(r"C:\Users\Alaa\Pictures",False))

Output

['33.jpg', 'A.jpg', 'aesthetic-ocean-cell-phone-art-94x4pcvrtazi8upm.jpg', 'palm-tree-1.jpg', 'rr.jpg', 'test.jpg', 'test1.jpg', 'veidz.jpg']

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The second function best_image(path_image ) takes the full path of the target image folder and then returns the best image in terms

of resolution and it takes only one parameter, which is the full path of the folder containing the images

from image_processing import ImageProcessing

my_object = ImageProcessing()
print(my_object.best_image(r"C:\Users\Alaa\Pictures"))

#Output

['A.jpg', 6400, 'C:\Users\Alaa\Pictures']

name Image :A.jpg

total dimensions :6400 Pixel

Location :C:\Users\Alaa\Pictures

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"Developer"