albumentations-team / albucore
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
Why this job: topics: neural-networks, computer-vision, deep-learning, machine-learning, computer vision
What it does
Albucore is a library of optimized atomic functions designed for efficient image processing. These functions serve as the foundation for AlbumentationsX, an image augmentation library.
Get started
pip install "torch>=2.14.1" --index-url https://download.pytorch.org/whl/cpu
pip install "albucore[headless,torch]" - Maintenance
- Active
- Last commit 7 days ago
- Stars
- 124
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.3.5
- Released 7 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 171 merged
- 0 waiting
- Releases
- 68
- 30+ in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| PaddlePaddle / Paddle | 24,144 | today | Apache-2.0 | No downloads |
| pytorch / vision | 18,002 | 9 days ago | BSD-3-Clause | No downloads |
| google-deepmind / sonnet | 9,976 | 14 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
Topics
- albumentations
- artificial-intelligence
- automation
- computer-vision
- data-augmentation
- deep-learning
- efficiency
- high-performance-computing
- image-augmentation
- image-processing
- machine-learning
- neural-networks
Project record
- JobAI libraries and models
- StatusListed
- Commits197
- Forks11
- Watching5
- Stars in 28 days+1
- CreatedMay 12, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026