segment-anything-py

v1.0.1

An unofficial Python package for Meta AI's Segment Anything Model For more information about how to use this package see README

Latest version published 4 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

73 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

Popularity

Small

GitHub Stars: 214
Forks: 16
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package segment-anything-py, we found that it has been starred 214 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 20, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 4 months ago
Last Commit: 4 months ago

Further analysis of the maintenance status of segment-anything-py based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that segment-anything-py demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 20
Funding: No

With more than 10 contributors for the segment-anything-py repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.8

Age: 2 years
Latest Release: 4 months ago
Dependencies: 0 Direct
Versions: 10
Maintainers: 1
Wheels: OS Independent

Readme

Segment Anything

Meta AI Research, FAIR

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick

[Paper] [Project] [Demo] [Dataset] [Blog] [BibTeX]

SAM design

The Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. It has been trained on a dataset of 11 million images and 1.1 billion masks, and has strong zero-shot performance on a variety of segmentation tasks.

Disclaimer

I am not the author of the original implementation. This repository is a Python package that wraps the original implementation into a package. If you have any questions about the original implementation, please refer to the facebookresearch/segment-anything. The original implementation is licensed under the Apache License, Version 2.0.

Installation

The code requires python>=3.8, as well as pytorch>=1.7 and torchvision>=0.8. Please follow the instructions here to install both PyTorch and TorchVision dependencies. Installing both PyTorch and TorchVision with CUDA support is strongly recommended.

Install Segment Anything using pip:

pip install segment-anything-py

or install Segment Anything using mamba:

mamba install -c conda-forge segment-anything

or clone the repository locally and install with

pip install git+https://github.com/facebookresearch/segment-anything.git

The following optional dependencies are necessary for mask post-processing, saving masks in COCO format, the example notebooks, and exporting the model in ONNX format. jupyter is also required to run the example notebooks.

pip install opencv-python pycocotools matplotlib onnxruntime onnx

Getting Started

First download a model checkpoint. Then the model can be used in just a few lines to get masks from a given prompt:

from segment_anything import SamPredictor, sam_model_registry
sam = sam_model_registry[""](checkpoint="

FAQs

What is segment-anything-py?

An unofficial Python package for Meta AI's Segment Anything Model. Visit Snyk Advisor to see a full health score report for segment-anything-py, including popularity, security, maintenance & community analysis.

Is segment-anything-py popular?

The python package segment-anything-py receives a total of 3,237 weekly downloads. As such, segment-anything-py popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is segment-anything-py well maintained?

We found indications that segment-anything-py maintenance is sustainable demonstrating some project activity. We saw a total of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is segment-anything-py safe to use?

The python package segment-anything-py was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 25 November-2024, at 06:23 (UTC).

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