bhav09 / Color_Blindness_Toolkit

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Color_Blindness_Toolkit

What is Color Blindness?


About Dependencies


About Files

Dataset : Consists of 54 images of Ishihara Charts

mnist.h5 : Deep Learning model trained on MNIST dataset to identitfy digits. Version: Tensorflow 2.2.0

predicting_number.py : For predicting the number being displayed in the Ishihara Chart

Contrast.py : To add contrast to image

Cluster.py : To cluster and get a wider view of the picture.


Examples of Ishihara chart:

Test Image 3


Features :

  • Provides general information on Color Blindness.

  • Records the entry of the patient.

  • Takes a tradtional test via Ishihara Chart

  • Predicts the number being displayed in Ishihara Chart.

  • Downloads the details of eye doctors in your city.

  • Shows a data analysis- report on Color Blindness

  • Fathomable GUI


GUI :

About

License:MIT License


Languages

Language:Python 100.0%