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---
license: lgpl-3.0
language:
- en
metrics:
- mae
- mse
- accuracy
tags:
- biology
- plant
- vitis
- downey mildew
- Plasmopara viticola
- OIV 452-1
base_model: microsoft/swin-tiny-patch4-window7-224
---
# OIV Leaf Disc Phenotyping
Companion repository for the article
"Phenotyping grapevine resistance to downy mildew: deep learning as a promising tool to assess sporulation and necrosis" found [Here](https://link.springer.com/article/10.1186/s13007-024-01220-4?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20240613&utm_content=10.1186/s13007-024-01220-4)
## Folder Structure
### checkpoints
Contains checkpoint files for leaf disc detector and OIV 452-1 scorer.
### data
Contains all datasets data in CSV format
### images
Contains all images in three different folders:
- leaf_discs contains full leaf discs
- leaf_patches contains extracted patches
- plates contains full plate images
### src
Contains source code under two formats:
- *.py files contain base functionality and classes
- *.ipynb files contain code to reproduce the article data
## Notebooks
### repo_manager.ipynb
Utility notebook to create this repository |