Simplified SAM3 for prompt-based image segmentation
Project description
sam-prompt
sam-prompt is a simplified Python packaging of SAM3-style prompt-based image segmentation components.
Compliance and Attribution
This repository includes code that is derived from Meta's Segment Anything materials ("SAM Materials").
- Upstream publisher: Meta Platforms, Inc. and affiliates
- Upstream project family: Segment Anything (SAM)
- Governing license for included and derived SAM Materials: see
LICENSE(SAM License)
If you use, modify, or redistribute this repository (or derivatives), you must comply with the terms in LICENSE.
Redistribution Requirements
When redistributing this project or derivative works, include at minimum:
LICENSE(SAM License text)NOTICE(upstream attribution and local modifications)
For provenance details, including local-to-upstream mapping status, see NOTICE.
Disclaimer
This repository is an independent derivative package and is not an official Meta release.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sam_prompt-0.1.2.tar.gz.
File metadata
- Download URL: sam_prompt-0.1.2.tar.gz
- Upload date:
- Size: 1.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.5.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3ffe80a62c774d7656324e107868ee08ab7cf2df39aad32e279fa49b68cb09d6
|
|
| MD5 |
045f7f04c64b79b5e85d422bafabc7f4
|
|
| BLAKE2b-256 |
8325f7c3b04d607fa4fefeaca3a79bb199a959b24463cfb803e53099c31af480
|
File details
Details for the file sam_prompt-0.1.2-py3-none-any.whl.
File metadata
- Download URL: sam_prompt-0.1.2-py3-none-any.whl
- Upload date:
- Size: 1.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.5.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0bc0f0c03de02736fdad1e5b55a487700e1070d78644c5a376bbfb1e7bd9255d
|
|
| MD5 |
84028d1c3f6b89240610beac14e31ed3
|
|
| BLAKE2b-256 |
f4008ed1bc9b3235ffe2db4f60f593e8806849a5b90b85183c81a652684a8f49
|
