PicCheck

🔎 Check for similarities between two images with python

🚀 Features

🎨 Color Collect

• Color Hexa
• Color RGB/RGBA
• Color Occurences
• Color Average
• Color Dominante

🖌️ Color Compare

• Color Diff / Brightness Diff
• Color Diff Decimal Number / BrightnessDiff Decimal Number
• Color Gap / Brightness Gap
• Delta E
• Image including identical pixels

📦 Color Compression

• Compression Level
• Decompression WorkSheet : DCT / IDCT
• Tiles of 8x8 blocs
• PSNR, SSIM, MSE
• ENTROPY, EXIF

🏃 How to run ?

Download Source Code Project, Install dependencies and run this command : py .\pck.py run img1_path img2_path

or download executable here : https://ypetit.web-edu.fr/piccheck/download/0.0.0/PicCheck.exe

📚 Learn how to use ?

Read the tutorial step by step here : https://ypetit.web-edu.fr/piccheck/get-started/ Running may take a few minutes to a few hours

🛠️ Commands

Open the list of commands py .\pck.py help

Get the version of PCK project py .\pck.py version:

Learn more about PCK project py .\pck.py about

Learn about author(s) py .\pck.py credits:

Run PCK with 2 pictures py .\pck.py run img1_path img2_path

📜 Disclaimer

🖥️ Code

This project is opensource in order to share a concept. The code is not necessarily clean.

If you are interested in improving PicCheck, don't hesitate to join the project !

The next missions are :

1. Code maintenance (python best practices)

2. Reduce package usage

3. Reduce processing time

🔴 Errors

Trouble can happen. That's why I invite you to correct the calculations if necessary.