American Sign Language recognition using convolutional neural networks.
Make the run.sh script executable.
chmod u+x run.sh
To train the model:
./run.sh train
To evaluate the model:
./run.sh evaluate
To predict on real time data:
./run.sh predict
Note: You will need to install the IP Webcam app on you android smartphone to access the camera for images. Or modify the predict script according to your needs.
The data can be obtained from Kaggle.
Uncompress it into the data directory.
The directory structure should look like this:
root
├── Code
│ ├── evaluate.py
│ ├── model
│ │ └──
│ ├── modelling.py
│ ├── preprocess.py
│ └── train.py
├── data
│ ├── american_sign_language.PNG
│ ├── amer_sign2.png
│ ├── amer_sign3.png
│ ├── sign_mnist_test.csv
│ └── sign_mnist_train.csv
├── Group-Proposal
│ └── Final Project Proposal.pdf
├── README.md
└── run.sh