This is a still-in-work prototype for the course CS4361 at The University of Texas at El Paso.
- pip install Flask
- pip install tensorflow
- pip install numpy
- pip install Image
- pip install BytesIO
- pip install jsonify
- server_test -> app.py
- server_test -> templates -> index.html
- server_test -> static -> script.js, style.css
- models -> handwritten_character_model_enhanced.h5
(OPTIONAL)
- handwritten_test_images
- dataset
Once you have downloaded all required files, in your preferred coding environment run this command in the terminal:
- python .\server_test\app.py
You will be prompted with tensorflow activation routine, amongst in there will be a line:
- 'Running on http://127.0.0.1:0000'
You will then be prompted with a screen similar to the one below
- Simply just upload the desired image you wish the model to 'attempt' to read
- Click on 'Upload'
- and BOOM, will probably be the incorrect output but will eventually get it right.