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A student project to create a web application based on a neural network for intelligent adjustment of Ishihara plates for diagnosis of the type of color blindness.

Pretrained models and data can be found here

Training of neural networks can be found here

Usage

  1. Create .venv: python -m venv .venv
  2. Activate: source .venv/bin/activate
  3. Install requirements: pip install -r requirements.txt
  4. Add files from archive models.7z from here into models/trained/recolor/ with their folders.
  5. Run app: python main.py

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A student project to create a web application based on a neural network for intelligent adjustment of Ishihara plates for diagnosis of the type of color blindness.

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