The detector_app.py script loads a pre-trained cuneiform sign detector and handles detection request from the web front-end of the web application. It utilizes Flask in order to make the detector available at a specific route (URL).

The webapp back-end receives a POST request from the front-end at http://localhost:5000/detector_php, runs the detector and returns a JSON response indicating if successful. We recommend to run this back-end app locally and access it through the web front-end provided in the cuneiform-sign-detection-webapp repo.

Additional Python packages:

• Flask (1.1.1)
• Werkzeug (0.16.0)

• Config the detector_app.py as needed.
• Pre-trained model weights specified in the detector_app.py need to be placed in the results/weights/ folder.
• Run $ python detector_app.py to start the back-end webapp and make it available to the front-end.