Python script using Keras + TensorFlow to train a custom machine learning model to recognize faces using a dataset with human faces and labeled with emotions.

I wrote an article explaining this script and model architecture and that can be found here:

Script: emotionRecTrain.py

Required args:

• csv_file - path to the fer2013.csv file
• export_path - path to save the trained model artifacts

Optional args:

• batch_size - batch size during training
• n_epochs - number of training epochs
• debug - Will override script arguments for batch_size and n_epocs to 10 and 1

Running

# required
python3 emotionRecTrain.py --csv_file=data/fer2013.csv --export_path=model_out/

python3 emotionRecTrain.py --csv_file=data/fer2013.csv --export_path=model_out/ --batch_size=50
python3 emotionRecTrain.py --csv_file=data/fer2013.csv --export_path=model_out/ --n_epochs=5000
python3 emotionRecTrain.py --csv_file=data/fer2013.csv --export_path=model_out/ --debug