A small example package
Project description
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
- 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
- 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']
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']
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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