Cat_Dog_Classifier

A Flask hosted model to differentiate between cats and dogs using a trained ML model

Using the pytorch library to train a Convoluted Neural Network (CNN) model to distingusih between cats and dogs. Users can pass in images into the model from a web interface and the model outputs whether the image is that of a cat or dog.

Prerequistes:

1. Python 3.x

Steps to use:

1. Clone the repository
2. Install all the dependencies needed - Pytorch, Flask, Pillow and Pickle
3. Run the code using the terminal command Flash Run from the same directory as App.py
4. Use the web interface to input an image into the model