frontveg 0.2.1

Segmentation of vegetation located to close to camera

frontveg

A plugin for foreground vegetation segmentation, tailored for trellised vegetation row images. It uses RGB images to perform inference and allows users to manually refine the generated mask.

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The method was developped by Herearii Metuarea, PHENET PhD at LARIS (French laboratory located in Angers, France) and Abdoul-Djalil Hamza Ousseini, AgroEcoPhen Engineer at IRHS (French Institute located in INRAe Angers, France) in Imhorphen team (bioimaging research group lead) under the supervision of Eric Duchêne (Research Engineer), Morgane Roth (Research Engineer) and David Rousseau (Full professor). This plugin was written by Herearii Metuarea and was designed in the context of the european project PHENET.

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This napari plugin was generated with copier using the napari-plugin-template.

Installation

You can install frontveg via pip:

pip install frontveg

To install latest development version :

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

Description

This plugin is a tool to perform image inference. This plugin contained two steps of image processing. First, from RGB image, an depth map is estimated and then thresholded to detect foreground and background in image. Second, grounding dino model detect foliage in foreground. The output is a binary mask where white colour are associated to foliage in foreground.

Contact

Imhorphen team, bioimaging research group

42 rue George Morel, Angers, France

• Pr David Rousseau, [e-mail]
• Abdoul-djalil ousseini-hamza, [e-mail]
• Herearii Metuarea, [e-mail]

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, "frontveg" is free and open source software

Issues

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