https://github.com/magamig/duplicate-images-finder

🏞🌉 Find and Delete Duplicate Images / Photos
https://github.com/magamig/duplicate-images-finder

computer-vision duplicate-images image-recognition lowe sift

Last synced: 5 months ago
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🏞🌉 Find and Delete Duplicate Images / Photos

• Host: GitHub
• URL: https://github.com/magamig/duplicate-images-finder
• Owner: magamig
• License: mit
• Created: 2019-10-31T15:02:25.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-08-30T23:53:06.000Z (almost 2 years ago)
• Last Synced: 2025-04-07T10:36:25.208Z (about 1 year ago)
• Topics: computer-vision, duplicate-images, image-recognition, lowe, sift
• Language: Python
• Homepage:
• Size: 11.9 MB
• Stars: 84
• Watchers: 2
• Forks: 14
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# 

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Find and delete duplicate images inside a directory.

## Running

```bash

> python main.py -d 'sample_images/'

[DUPLICATE FOUND] sample_images/road.jpg sample_images/road_duplicate.jpg

[DELETED] sample_images/road_duplicate.jpg

```

```bash

> python main.py -h

usage: main.py [-h] [-d] [-s] [--min_matches MIN_MATCHES]

               [--features_distance FEATURES_DISTANCE]

               directory

positional arguments:

  directory             directory with the images

optional arguments:

  -h, --help            show this help message and exit

  -d, --delete          delete the duplicate images found with smaller res

  -s, --silent          quiet execution without logging

  --min_matches MIN_MATCHES

                        minimum number of matching features to accept the

                        images as being similar

  --features_distance FEATURES_DISTANCE

                        [0,1] - higher number results in more matching

                        features but with less accuracy

```

##### Similar / Duplicate Images

![](example_duplicate.png)

##### Different Images

![](example_not_duplicate.png)

## Requirements

Before running this project you need to install its requirements.

```bash

> pip install -r requirements.txt

```

## Built With

* [Python](https://docs.python.org/3/) - Programming language

* [OpenCV](https://docs.opencv.org/) - Computer vision library

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.

## References

* D. G. Lowe, "Distinctive image features from scale-invariant keypoints", International Journal of Computer Vision, 60, 2 (2004), pp. 91-110. [[PDF](https://www.cs.ubc.ca/~lowe/papers/ijcv04.pdf)]

* M. Muja and D. G. Lowe, "Scalable Nearest Neighbor Algorithms for High Dimensional Data", IEEE Transactions on Pattern Analysis and Machine Intelligence 36, 11 (2014), pp. 2227-2240. [[PDF](https://www.cs.ubc.ca/research/flann/uploads/FLANN/flann_pami2014.pdf)]