Metadata-Version: 2.4
Name: fastdup
Version: 2.53
Summary: Fast tool for gaining insights from large image repositories.
Home-page: https://github.com/visualdatabase/fastdup
Author: Dr. Danny Bickson & Dr. Amir Alush
Author-email: info@visual-layer.com
License: Non commercial
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Multimedia :: Video
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# Fastdup Tool
Copyright (C) 2024 by Dr. Amir Alush and Dr. Danny Bickson.

fastdup is a tool for gaining insights from a large image/video collection. It can find anomalies, duplicate and near duplicate images/videos, clusters of similarity, learn the normal behavior and temporal interactions between images/videos. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging.

fastdup is:

* Unsupervised: fits any dataset
* Scalable : handles 400M images on a single machine
* Efficient: works on CPU only
* Low Cost: can process 12M images on a $1 cloud machine budget

[Non Commercial License](https://github.com/visual-layer/fastdup/blob/main/LICENSE)

[Github Project Page](https://github.com/visualdatabase/fastdup)

## System Requirements

**Supported Platforms:**
- Linux
- macOS

**Windows Support:**
Windows is not directly supported. However, Windows users can use fastdup via Windows Subsystem for Linux 2 (WSL2) by installing Ubuntu and following the Linux installation instructions.

