Authors
Eshwaran Venkat & Tigran Poladian under Uri Schonfeld
python@3.10condaenvironment
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 .- Go to the top-right corner of the repository and click
Code - Start a github codespaces on the
mainbranch - append
?editor=jupyterof the codespaces URL to start exploring on Jupyterlab
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
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Practices: Please read practices.md for details on how to set up this project beyond the base installation.
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Structure: Please read structure.md to see the file structure of this project
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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.