A CNN model to detect hand gestures.

Overview


Software Used

  • python - programming language used, tested on v3.8
  • miniconda - for managing virtual environment

Libraries Used

  • opencv - pip install opencv-python
  • imutils - pip install imutils
  • pillow - pip install Pillow
  • tensorflow
    • pip install tensorflow - for CPU and GPU
    • pip install tensorflow-gpu - for GPU
    • pip install tensorflow-cpu - for CPU
    • keras
  • numpy - pip install numpy
  • scikit-learn - pip install scikit-learn
  • matplotlib - pip install matplotlib

Modules

Image Segmentation

  • This module is just for learning purpose.
  • You can see here how segmentation code works.
  • Use this module to play around and understand image segmentation.

Data Generation

  • Contains the code for dataset generation.
  • You can add new gestures in this notebook and the generate the data.
  • Produce 1000 train data, and 100 test data images.
  • This can be done by setting the no_of_images and start_image_num variables.
  • After adding new gesture modify the gestures list for both data training and data generation module.

Data Training

  • Contains the CNN model.
  • Modify this model to crete your own new model and train it.
  • Use GPU for faster training.
  • If you have a Nvidia GPU, follow this https://www.tensorflow.org/install/gpu to make tensorflow work with your GPU.

Data Prediction

  • Contains the code for predicting gesture.
  • Loads the CNN model and make the prediction.

License

MIT


Owner
Shivanshu
Shivanshu
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