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
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.
3 maintainers
Metadata
3 maintainers
Release files for fastdup 2.54
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 545.2 MB
Release files / fastdup-2.54-cp312-cp312-manylinux_2_31_x86_64.whl
| Download URL | fastdup-2.54-cp312-cp312-manylinux_2_31_x86_64.whl |
|---|---|
| Size | 87.4 MB |
| Tags | CPython 3.12 Linux glibc 2.31+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.8
|
Release files / fastdup-2.54-cp312-cp312-macosx_11_0_arm64.whl
| Download URL | fastdup-2.54-cp312-cp312-macosx_11_0_arm64.whl |
|---|---|
| Size | 48.9 MB |
| Tags | CPython 3.12 macOS 11.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.16
|
Release files / fastdup-2.54-cp311-cp311-manylinux_2_31_x86_64.whl
| Download URL | fastdup-2.54-cp311-cp311-manylinux_2_31_x86_64.whl |
|---|---|
| Size | 87.4 MB |
| Tags | CPython 3.11 Linux glibc 2.31+ x86-64 |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.8
|
Release files / fastdup-2.54-cp311-cp311-macosx_11_0_arm64.whl
| Download URL | fastdup-2.54-cp311-cp311-macosx_11_0_arm64.whl |
|---|---|
| Size | 48.9 MB |
| Tags | CPython 3.11 macOS 11.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.16
|
Release files / fastdup-2.54-cp310-cp310-manylinux_2_31_x86_64.whl
| Download URL | fastdup-2.54-cp310-cp310-manylinux_2_31_x86_64.whl |
|---|---|
| Size | 87.4 MB |
| Tags | CPython 3.10 Linux glibc 2.31+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.8
|
Release files / fastdup-2.54-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | fastdup-2.54-cp310-cp310-macosx_11_0_arm64.whl |
|---|---|
| Size | 48.9 MB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.16
|
Release files / fastdup-2.54-cp39-cp39-manylinux_2_31_x86_64.whl
| Download URL | fastdup-2.54-cp39-cp39-manylinux_2_31_x86_64.whl |
|---|---|
| Size | 87.4 MB |
| Tags | CPython 3.9 Linux glibc 2.31+ x86-64 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.8
|
Release files / fastdup-2.54-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | fastdup-2.54-cp39-cp39-macosx_11_0_arm64.whl |
|---|---|
| Size | 48.9 MB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.16
|
Security for fastdup 2.54
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