qiubit / traffic-sign-android

Traffic sign classifier trained using fastai and deployed to Android using PyTorch Mobile

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

traffic-sign-android

Udacity - Self-Driving Car NanoDegree

Traffic sign classifier trained using fastai and deployed to run in real time (60-70 FPS) on Android using PyTorch Mobile.

The Android app is based on pytorch/android-demo-app, an official demo app for PyTorch Mobile project.

Android app screenshots

Training the model

To train the model, launch Traffic_Sign_Classifier.ipynb notebook using Google Colab, preferably using GPU runtime.

This repo can be directly imported using Google Colab GitHub import feature.

Building and launching the app

To build and launch the Android app, open Android/build.gradle in Android Studio.

About

Traffic sign classifier trained using fastai and deployed to Android using PyTorch Mobile


Languages

Language:HTML 53.3%Language:Jupyter Notebook 46.0%Language:Java 0.7%