The CNN is trained on a custom dataset containing alphabets A-Y (excluding J) of American Sign Language.
Run:
python Gesture_recognize_sign.py
This will start the webcam.Press C then place your hand inside the green box while performing a gesture and you will get the letter to which the respective gesture corresponds. Press Q to quit.
Set up the path in the Image_capturing.py file
Run:
python Image_capturing.py
Place your hand in the green box and press C to start capturing the data.
Now set up the paths in Image_preprocessing.py file to preprocess the dataset.
Then Run:
python Image_preprocessing.py
After preprocessing set up the path in model.py file to get the preprocessed data for training.
Then Run:
python model.py
This will create model-<val_acc>.h5 files. Choose the appropriate file for Gesture_recognize_sign.py
Then Run:
python Gesture_recognize_sign.py
