# 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 <font color='red'>get_list(path)</font> it takes the path of a folder and then returns all the images as a table
```python
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 <font color='red'>get_list_sorted(main_path , answer)</font> 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
```python
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 <font color='red'>best_image(path_image )</font> 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
```python
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"](https://www.facebook.com/alaa.jassim.mohammed)
