Image Annotator App

This is a simple image annotator application built using Flask. Users can upload an image and provide a list of objects to be annotated. The application processes the image to identify the specified objects and returns their coordinates.

Project Structure

image_annotator_app
├── app.py                # Main Flask application file
├── static
│   ├── script.js         # JavaScript for front-end functionality
│   └── style.css         # CSS styles for the application
├── templates
│   └── index.html        # Main HTML file for the application
├── requirements.txt      # Python dependencies
└── README.md             # Project documentation

Instructions to Run the Application

1. Install UV Package Manager: Ensure you have UV installed. If not, follow the installation instructions for UV.

2. Create a Virtual Environment: Navigate to your project directory and create a virtual environment using UV:

   uv create venv
   

3. Activate the Virtual Environment: Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate
     

   • On macOS/Linux:

     source venv/bin/activate
     

4. Install Dependencies: Install the required packages listed in requirements.txt:

   uv install -r requirements.txt
   

5. Run the Flask Application: Start the Flask server:

   uv run app.py
   

6. Access the Application: Open your web browser and go to http://127.0.0.1:5000 to access the image annotator app.