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T-DEV-810-PAR_26

M1 project at Epitech.

Data

ChestXray data provided by the school. They are Kaggle data. These images (.jpeg) are thorax scans of healthy and sick patients (suffering from viral or bacterial pneumonia).

Install requirement

pip install . &&\
pip install -r requirements.txt

Path requirement for jupyter issue

export PYTHONPATH="${PYTHONPATH}:/Users/lenaoudjman/Desktop/ZOIDBERG2.0/”
export PYTHONPATH="${PYTHONPATH}:/Users/mojgan/code/EPITECH/ZOIDBERG2.0/”

Steps to follow

  • Creating an environment

  • Create a config.py to generalize paths ** NEVER PUSH!

  • What is the model evaluated against?

    • Accuracy
    • F1 score ( mix between Recall and Precision )
    • AUC => No overfitting / underfitting

  • Pretest data

    • Meme shape (150,150)
    • Color
    • Batch : 32 ( Caution not for test)

Styles

On each python script:

black path_file.py

ruff check path_file.py