Inspiration

Our inspiration was from the topic of movies. We wanted to take parts of a movie you are interested in and process the image using Sobel.

What it does

The code allows users to input queries, fetch images from the web, apply edge detection, and display the results for efficient image analysis.

How we built it

The code was developed using Python and various libraries, including requests, matplotlib, and skimage, to perform web scraping and image processing.

Challenges we ran into

Challenges included handling image format errors and improving code efficiency for larger image datasets.

Accomplishments that we're proud of

The code successfully combines image retrieval and processing, making it a useful tool for various applications.

What we learned

During development, we learned about web scraping, image processing, and error handling for image formats.

What's next for Pixel Hunter

Future improvements could include enhancing the user interface, optimizing performance, and expanding supported image formats.

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