Shadow Detector App

Overview

The Shadow Detector App is a web application built using Streamlit that utilizes a trained UNet model to identify and analyze shadows in uploaded images. This app allows users to upload images and detect shadows using advanced AI technology with just a click of a button.

Features

• Image Upload: Users can upload images in JPG, PNG, or JPEG format.
• Shadow Detection: The app processes the image to detect shadows and provides a binary mask representing the detected shadows.
• Image Preview: Users can preview the uploaded image and the detected shadows side by side.
• Download Option: Users can download the shadow mask as a PNG file.

Technologies Used

• Streamlit: For building the web application.
• PyTorch: For loading and using the UNet model for shadow detection.
• OpenCV: For image processing tasks.
• NumPy: For numerical operations on images.
• PIL: For image saving and manipulation.