kumresh / CatDogClassification

Deploying PyTorch model into the android app. The app showcases the capabilities of the model by allowing users to input data and receive predictions in real-time. Try it out and see how machine learning can be integrated into mobile applications!

Pytorch Mobile

Introduction

Welcome to the Android App that classifies images of dogs and cats using a PyTorch. The app is designed to help users easily classify images of dogs and cats with the touch of a button.

Features

• Easy and intuitive image classification of dogs and cats
• Accurate image recognition using a PyTorch model
• Minimal and user-friendly interface
• pretrained weight mobilenetv2

How to Use

• Open the app
• Choose an image from your device's gallery or take a new photo
• Press the "Pridict" button The app will display the classification result (either "dog" or "cat")

How to reduce prediction Time

• Optimize the Model: Try to optimize the model by reducing its size, number of parameters and layer complexity. This will help in reducing the computational time during predictions.
• Quantization: Use quantization techniques to reduce the model size and make predictions faster. PyTorch Lite supports quantization-aware training, which helps to optimize the model for deployment on low-power devices.
• Model Input Shape: Ensure that the input shape of the model is optimized for the Android device to reduce the computational time during predictions.

Technical Details

The app uses a pre-trained PyTorch for image classification. The model has been trained on a large dataset of dog and cat images, resulting in high accuracy and speed.

Conclusion

I hope you find this app useful and enjoyable. With its fast and accurate image recognition, you can now easily classify images of dogs and cats with just a few taps. Enjoy!