Multispecies Leaf Disease & Leaf Type Classification 🍃

Authors

Eshwaran Venkat & Tigran Poladian under Uri Schonfeld

Multispecies Leaf Disease \& Leaf Type Classification 🍃

Setup 📦

:notebook: Requirements

python@3.10
conda environment

Local Setup

Assuming conda and python are available and are in PATH (accessible from anywhere on the system), run the following commands:

conda env create --name leafydex python=3.10 -y
conda activate leafydex

conda install -c anaconda ipykernel -y
python -m ipykernel install --user --name=leafydex

git clone https://github.com/cricksmaidiene/leafydex
cd leafydex
python -m pip install -r requirements.txt
python -m pip install -e .

Use Github Codepsaces

Go to the top-right corner of the repository and click Code
Start a github codespaces on the main branch
append ?editor=jupyter of the codespaces URL to start exploring on Jupyterlab

Dataset Setup 🛠

Add Kaggle API key to /credentials (all files within this directory are ignored by git)

Instructions for UNIX-based systems (or Codespaces). Windows may require different commands

mkdir ~/.kaggle #ignore if directory already present
chmod 600 credentials/kaggle.json
cp credentials/kaggle.json ~/.kaggle/kaggle.json
python -m pip install kaggle
kaggle datasets download -d csafrit2/plant-leaves-for-image-classification -p ./data/raw
unzip data/raw/plant-leaves-for-image-classification.zip -d data/raw
rm data/raw/plant-leaves-for-image-classification.zip

Get API key from https://www.kaggle.com/account
Review Kaggle API Docs

Additional guides

Practices: Please read practices.md for details on how to set up this project beyond the base installation.
Structure: Please read structure.md to see the file structure of this project
Execution Trail: Please read trail.md to see the trail of execution across multiple files

Project structure based on the cookiecutter conda data science project template.

cricksmaidiene / leafydex

readme