Assignment: Build a Web UI App for Computer Vision Functions

Your task is to create a user-friendly web UI application that integrates and showcases key computer vision functionalities. The application must be hosted on Hugging Face Spaces, leveraging their free CPU virtual machine.

Requirements

1. Web UI Framework:

   • Use Gradio for building the user interface.
   • Alternatively, you may use other frameworks such as Streamlit if preferred.

2. Core Computer Vision Functions:

   • Use functions provided by scikit-image (skimage) or OpenCV, e.g.
     • Image segmentation: Partitioning an image into meaningful regions.
     • Edge detection and line detection: Highlighting edges or detecting straight lines in the image.
     • Image inpainting: Filling in missing or corrupted parts of an image.
     • or template matching, perspective transformation, …
   • to build a simple Web UI App

3. Input:

   • The application must accept an image as input (upload or example selection).

4. UI Features:

   • Provide controls for adjusting function parameters dynamically (e.g., thresholds for edge detection, mask selection for inpainting).
   • Include a curated list of example images so that the Teaching Assistant (TA) can easily test your app.

5. Performance:

   • Ensure the app’s response time is reasonable: the execution time for any function should not exceed one minute.

6. Hosting:

   • Deploy your application on Hugging Face Spaces using a free CPU VM.

   Note: If you are unable to use Hugging Face Spaces for any reason, please contact the TA for alternative options.

Submission

Your submission should include the following:

1. App URL:
   • The link to your deployed web UI app on Hugging Face Spaces.
2. Docker Command:
   • Provide a Docker command that allows the app to be run locally (you can access the information from the Hugging Face Space page).
3. Screenshot:
   • Attach a clear screenshot of your application interface, showcasing its functionality.