https://github.com/cvjena/moth_scanner
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: cvjena
- Language: Python
- Default Branch: main
- Size: 13.7 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Moth-Scanner
Insect detection and moth classification pipeline Code for the paper "Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification"
Installation
After cloning the repository, initialize and update the submodules:
bash
git clone git@github.com:cvjena/moth_scanner.git
cd moth_scanner
git submodule init
git submodule update
Follow the installation instructions for the classifier or the detector.
Train a classifier model and a detection model. Copy the resulting outputs to models/JENA_MOTHS.
Rename the weights to weights.npz.
To run the pipeline, run
bash
cd scripts
DATA=<folder with some images> ./run.sh
Citation
You are welcome to use our code in your research! If you do so please cite it as:
bibtex
@article{korsch2023deep,
title={Deep learning pipeline for automated visual moth monitoring: insect localization and species classification},
author={Korsch, Dimitri and Bodesheim, Paul and Denzler, Joachim},
journal={arXiv preprint arXiv:2307.15427},
year={2023}
}
License
This work is licensed under a GNU Affero General Public License.
Owner
- Name: Computer Vision Group Jena
- Login: cvjena
- Kind: organization
- Location: Jena
- Website: https://www.inf-cv.uni-jena.de/
- Repositories: 74
- Profile: https://github.com/cvjena