Basic AI guessing game with OpenCV and Keras
- Python3
- OpenCV
- Keras
- Tensorflow
- CNN image classification
- Python3
- Anaconda3
- Webcam
Clone the project using git clone
git clone https://github.com/moayadalsariya/number-gussing-game
Then cd to number-gussing-game
cd number-gussing-game
Use the package manager pip to install requirements dependency
pip install -r requirements.txt
Start Anaconda jupyter notebook
conda activate base
jupyter notebook
New tap will open in your broswer http://localhost:8888/
- open the collect-data.ipynb file and run all the cells (make sure the webcam installed in your system)
- Start collect data, press '1' key in your keyboard in catpure 1 sign (make sure there is white background before collecting images)
- then start collecting next sign '2' by pressing 2 in your keyboard and so on up to number 5
- press 'n' in your keyboard to capture the white background images
- I recommend to capture 100 images per class
- After collecting images, now start train model by opening 'train-model.ipynb' file and run all cells to train model
- After train model, now we can start the game by run all cells in your Jupyter notebook
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.