-
Clone the project and go into
git clone git@github.com:EpitechMscPro2020/zoidberg2.0_2020_35.git cd zoidberg2.0_2020_35
-
Download the dataset and place
chest_Xray
folder at the repository root. -
Create python environment. You must have venv or conda on your machine
# venv python3 -m venv env # or with conda conda create -n env python=3
-
Install dependencies
source env/bin/activate pip install --upgrade pip pip install -r requirements.txt
-
Launch jupyter web browser
jupyter-notebook
- Dataset
- Prepare data before training, it is mandatory before execution of another notebook
- It will create a new file
dataset.hdf5
- CNN
- Train AI on previous created dataset with CNN model
We made a GUI to use our already trained model in ./model/cnn
.
You just need to upload image with upload
button. The GUI will show the classification label and her prediction accuracy
Doesn't need notebooks execution or any dataset
You must have enabled the virtual env (goto installation 2.)
python prgm/ui/main.py