Real-Time Sign Language Translation using Computer Vision and Convolutional neural network
- Python3
- OpenCV
- Keras
- Tensorflow
- CNN image classification
- Python tkinter
- Python3
- opencv package
- tensorflow package
- Webcam
Clone the project using git clone
git clone https://github.com/moayadalsariya/Sign-Language-TranslatorThen cd to Sign-Language-Translator
cd Sign-Language-TranslatorUse the package manager pip to install requirements dependency
pip install tensorflow
pip install opencv-contrib-python
pip install pillowRun the program
python ./ASL.py- After your run the program using python ASL.py, click 'Register new sign' button to register sign
- new window will appear, enter sign the you want to register in filed and press submit
- Camera windows will appear, now place your hand into green area in press 'space' key in your keyboard to caputre the images (100 image require)
- After your register your sign, close the webcam window by pressing 'esc' key in your keyboard.
- if you like to register new sign do the the steps again, press register button ... etc
- make sure there are white background before you capture the images
- After collecting images, now start train model by pressing train new model in your keybaord.
- after train is completed new save file windows will appear to save your traind model, so you don't need to train model every time
- make sure the file extension of save model is .h5
- After train model, you can make prediction by pressing make prediction button.
- New window will apear asking for to select the your pre-train model.
- Now Camera windows will appear, your start make prediction by placing your hand into green area
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.