American-Sign-Languge-Recognition

Prerequisite

• Anaconda
• Use the requirements.txt to install required libraries

   conda create --name asl --file requirements.txt

Creating data set

Run create.py to create the dataset. The dataset will be created in C:\Dataset to change this change the path varibale in line 5 accordingly. Parameters given druing runtime are:

• Starting index, from which number the file name will start(Give 1 as default).
• Ending index, till which number the file name will end at.

    conda activate asl 
    python create.py

Training

Upload the data set and the train.ipynb file on ur drive. Things to be noted

• Images of J and Z should be in a folder named MotionSigns in ur drive
• Rest of the images should be in a folder named StationarySigns in ur drive
• Both of the above folder should contain a folder named ^ with images of blank background

Run the file in google colab

Two models are to be made:

• First model is for the sationary signs change the name of model to keras.StationaryModel
• Second model is for motion signs change the name of the model to keras.MotionModel

Hand Sign Detection

Download the models from ur drive and put in the same folder with run.py.

    conda activate asl 
    python run.py

The pretrained models are given here keras.MotionModel, keras.StationaryModel.
Run the run.py file put ur hand in the box provided and the sign will be detected. Press space bar for space, backspace to delete a character and enter to read the sentence out loud