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.

MIT