First, you need to download the model itself in onnx extension. This can be done by clicking on the following link: Uno_detector.onnx. Then move the downloaded file to the "model" folder.
- Download and run Docker.
- Execute the following commands:
- Build Docker image using: docker build -t web-detector .
- Run Docker container using: --rm --name detector -p 5000:5000 web-detector
- model/Detect.py contains functions for processing the results obtained from the model.
- tamplates contains the code responsible for the appearance of the home page.
- Dockerfile contains instructions for starting the application.
- Uno.ipynb contains code describing the learning process of the neural network.
- main.py contains the logic of the site.
- After starting Docker, go to http://localhost:5000.
- Select the file and press the "Detect" button.
