/ romiseg
Overview
This package contains trained CNN models and methods dedicated to performs semantic segmentation of plant images.
Installation
Clone the sources
git clone https://github.com/romi/romiseg
Optional - Create a conda environment
conda create -n romiseg python==3.10
Install PyTorch & dependencies
python -m pip install 'torch>=2.0.0' 'torchvision>=0.15.0' --extra-index-url 'https://download.pytorch.org/whl/cu118'
We install it for CUDA 11.8, which is compatible with the latest PyTorch 2.x versions.
Install romiseg
cd romiseg
python -m pip install -e .
Usage and Documentation
- Segmentation2D module: outputs, prerequisites, and details are documented at docs/segmentation2d.md
- Annotation and fine‑tuning: step‑by‑step guide at docs/annotation-finetuning.md
For the full documentation website, see https://romi.github.io/romiseg/
1 maintainer
Metadata
1 maintainer
Release files for romiseg 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| romiseg-0.3.0.tar.gz | 56.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| romiseg-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 126.7 kB
Release files / romiseg-0.3.0.tar.gz
| Download URL | romiseg-0.3.0.tar.gz |
|---|---|
| Size | 56.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8f93ad6c3f62631d65a2d13ba221eeb3682b6e81775f01ecff158bcc61f934bd
|
|
BLAKE2b-256 checksum How to use checksums |
7ab2c53a03a6ac1cda8ed3a69e2d38861f4e13c3ce49fe29af17719d335c2188
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 2, 2026.
Transparency logRelease files / romiseg-0.3.0-py3-none-any.whl
| Download URL | romiseg-0.3.0-py3-none-any.whl |
|---|---|
| Size | 70.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
77e40a25920fcb39f9ffde04eb35ce851d4faef850a4e88570641507c03ce750
|
|
BLAKE2b-256 checksum How to use checksums |
41bcb056f0fdf4bcea18342172b404b406bce72b8a978200f546fa484596559d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 2, 2026.
Transparency log
