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A CNN built using Keras and TensorFlow 2.2.1 as backend that uses OpenCV camera to count the fingers on taking snap

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shivance/HandSigns

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Count Your Fingers And look for result in Terminal :D

A Classifier that implemnts Convolutional Neural Networks (CNNs) to count the number of fingers Trained using SIGNS dataset is a collection of 6 signs representing numbers from 0 to 5.

LinkedIn:

Download dataset from here: https://github.com/shivanshuman021/HandSigns-Indentifier/tree/master/datasets

Network Architecture

Convolution Operation : A Review

Watch Me testing it ! See count in Terminal on left side

Here are some more tests !

zero three

Dependencies

1. Python 3

2. TensorFlow 2.2.1

Visit https://www.tensorflow.org/install

3. Keras

4. OpenCV

Visit https://pypi.org/project/opencv-python

Try yourself !

😜

In a Terminal / Command Prompt Type

$ git clone "https://github.com/shivanshuman021/HandSigns-Indentifier.git"

Navigate to the cloned repository in a terminal run:

$ python main.py Camera window named test will be loaded . Press SPACE to capture snapshot ! Press ESC Key to exit

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A CNN built using Keras and TensorFlow 2.2.1 as backend that uses OpenCV camera to count the fingers on taking snap

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