House Image Classifier

This repository contains a trained model that classifies images of houses into "good" and "bad" folders.

Requirements

Before you begin, ensure you have the following installed:

• Python 3.x
• Required Python packages (see requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/jsonn32/photo_filter.git
   cd photo_filter

2. Create and activate a virtual environment (optional but recommended):

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

Usage

1. Place your images in a folder called Images at the root of the project.

2. Run the classifier script:

   python main.py

3. The script will process the images and place them into good_images and bad_images folders based on the classification.