dnth / clean-up-digital-life-fastdup-blogpost

Eliminate duplicates, blurry, dark, bright and broken images with fastdup and Python.

Clean Up Your Digital Life: How I Found 1929 Fully Identical Images, Dark, Bright and Blurry Shots in Minutes, For Free.

A companion repo for the blog post Clean Up Your Digital Life: Simplify Your Photo Organization and Say Goodbye to Photo Clutter.

📂 Folder Structure

• fastdup_report/ -- Folder to store fastdup files.

• images/ -- Images folder. Use your own or download from Kaggle.

• fastdup_analyze.ipynb -- A Jupyter notebook to run fastdup.

🧮 Install and Run

First, let’s install fastdup with -

pip install fastdup==0.903

Run fastdup -

import fastdup

work_dir = "./fastdup_report"
images_dir = "./images"

fd = fastdup.create(work_dir, images_dir)
fd.run()

🚫 Invalid Images

Get a list of broken images found by fastdup:

fd.invalid_instances()

👯‍♂️ Duplicate Images

View duplicate images -

fd.vis.duplicates_gallery()

🤳 Dark, Bright, and Blurry Shots

View dark shots.

fd.vis.stats_gallery(metric='dark')

View bright shots.

fd.vis.stats_gallery(metric='bright')

View blurry shots.

fd.vis.stats_gallery(metric='blur')

🗂 Clustering Similar Shots

View clusters -

fd.vis.component_gallery()

📞 Questions? Connect with me

If you have any questions or feedback, please don't hesitate to reach out to me. I'm active on the following platforms.

❤️ Support Me

I am thrilled to share my work with you and I hope you find it useful.

If you do, please consider supporting my efforts by making a donation and/or sharing this repository on your social media.

Your support will help me to continue developing and maintaining this project, as well as create new ones.