Skip to main content

Segtree is a plugin designed for the segmentation of individual trees from imagery. It isolates tree in ovelapping tree context.

Project description

orseg

License BSD-3 PyPI Python Version tests codecov napari hub npe2 Copier

Segtree is a plugin designed for the segmentation of individual trees from imagery. It isolates tree in ovelapping tree context.

alt text

How it works

The user provides as input a color image and, optionally, a trunk detector mask. With a single click, the plugin automatically places prompt points on the detected trunk labels. These prompts are then used by SAM2 HQ (Segment Anything Model v2, High Quality mode) to segment the tree foliage associated with each trunk. alt text

Article : Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering

METUAREA, Herearii, LAURENS, François, GUERRA, Walter, et al. Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering. Sensors, 2025, vol. 25, no 15, p. 4721.

Citing segtree

If you find segtree useful in your research, please star ⭐ this repository and consider citing 📝:

@article{metuarea2025individual,
  title={Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering},
  author={Metuarea, Herearii and Laurens, Fran{\c{c}}ois and Guerra, Walter and Lozano, Lidia and Patocchi, Andrea and Van Hoye, Shauny and Dutagaci, Helin and Labrosse, Jeremy and Rasti, Pejman and Rousseau, David},
  journal={Sensors},
  volume={25},
  number={15},
  pages={4721},
  year={2025},
  publisher={MDPI}
}

Installation

You can install orseg via pip:

pip install orseg

If napari is not already installed, you can install orseg with napari and Qt via:

pip install "orseg[all]"

To install latest development version :

pip install git+https://github.com/hereariim/orseg.git

Contact

Imhorphen team, bioimaging research group

42 rue George Morel, Angers, France

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the BSD-3 license, "orseg" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

orseg-0.0.2.tar.gz (7.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

orseg-0.0.2-py3-none-any.whl (7.4 MB view details)

Uploaded Python 3

File details

Details for the file orseg-0.0.2.tar.gz.

File metadata

  • Download URL: orseg-0.0.2.tar.gz
  • Upload date:
  • Size: 7.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for orseg-0.0.2.tar.gz
Algorithm Hash digest
SHA256 25dc12e39dd54b48bf44289d2b3400e35e8f6861ef84a01a9646ac443bdf8b7b
MD5 bc2245178feef3670743537870439d48
BLAKE2b-256 a08f51e719889816980a8bad50ce8deb9bc22e536e2244edee09060adb52b579

See more details on using hashes here.

File details

Details for the file orseg-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: orseg-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 7.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for orseg-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 4faa6ce176a60898bf441e92830915aab610dbfd729c795ccc81277c6c5b5213
MD5 cf6a8037a57faf8aee6c3c3cd658b9f4
BLAKE2b-256 e3a97815c6c53742a7b4118af1385c5442262aadb022240ab73806fa1443518a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page