Traffic Sign Classifier

This repository contains my implementation of the homonymous open source project part of the Udacity - Self-Driving Car NanoDegree.

For a step by step walkthrough of the project see here. The theory used is explained in this paper by Pierre Sermanet and Yann LeCun.

The file signnames.csv contains "id to name" mappings for each id.

Dependencies

To execute the pipeline, the following dependencies are necessary:

Pickle
Numpy
Matplotlib
OpenCv
TensorFlow Version 1.3
Tqdm
Pandas
Os
Glob
Scikit-learn

Installation

Clone the Github Repository and run each cell contained in the Jupiter Notebook Traffic_Sign_Classifier.ipynb

git clone https://github.com/IacopomC/CarND-Traffic-Sign-Classifier-Project
cd CarND-Traffic-Sign-Classifier-Project
jupyter notebook Traffic_Sign_Classifier.ipynb