/Hand-Gesture-Classification.

Here, we will utilize the functions which we wrote last session and will try to build simple classification of hand gesture using the tensorflow model

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Hand-Gesture-Classification. (CNN Part 2)

Here, we will utilize the functions which we wrote last session and will try to build simple classification of hand gesture using the tensorflow model

Welcome to CNN Application! In this notebook, you will:

  1. Implement helper functions that you will use when implementing a TensorFlow model.
  2. Implement a fully functioning ConvNet using TensorFlow.

Hand Gesture

Dependencies:

  1. Python 3.6
  2. Numpy
  3. tensorflow
  4. Matplotlib
  5. pydot
  6. h5py
  7. Scipy
  8. Pillow(PIL)

Step by Step Implementation of Hand Gesture Classification:

  • Install all the latest dependencies.
  • Clone the repository in your local system.
  • Make sure all folders are in same location
  • Open any python3.6 IDE and execute HandGestureRecognitionCNN.py
  • Visualize the results.

The Repository also has notebook(.ipynb) file, which has detailed explnation of project and also implmentation steps, do check it out once

Thank You, cheers. 👍