A program that separates text and visual elements from image.
The program uses Google Cloud Vision API for OCR and YOLOv8 for image segmentation.

• The program takes a command line argument, which is the path to the image.
• It then makes an html file with the output in the output directory.
• It also creates a runs directory which stores all the past segmentation results.

Note: There are two sample output files namely person.html and winter.html in the output directory. To view the demos correctly please run the demos using make person and make winter

• Make a python virtual environment (python3 -m venv venv)
• Install poetry (pip3 install poetry)
• Install all the dependencies using poetry (poetry install --no-root)
• Create a new google cloud project and download json_credentials
• Enable Cloud_Vision_API and Billing in the Google Project
• Copy the .env.example to .env and edit it accordingly
• Run the application by running python3 main.py <path_to_image> in the src directory
• You can also run the demos by running make person or make winter in the project root directory