https://github.com/nazanin1369/trafficsignsclassifier

CovNET classifier with Tensorflow
https://github.com/nazanin1369/trafficsignsclassifier

convolutional-neural-networks image-processing image-recognition self-driving-car

Last synced: about 1 month ago
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CovNET classifier with Tensorflow

• Host: GitHub
• URL: https://github.com/nazanin1369/trafficsignsclassifier
• Owner: Nazanin1369
• Created: 2017-04-03T05:56:40.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-04-15T17:59:23.000Z (almost 8 years ago)
• Last Synced: 2024-11-10T14:51:28.163Z (3 months ago)
• Topics: convolutional-neural-networks, image-processing, image-recognition, self-driving-car
• Language: HTML
• Size: 37.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Build a Traffic Sign Recognition Program

Overview

---

In this project, I used deep neural networks and convolutional neural networks to classify traffic signs. I trained and validated a model so it can classify traffic sign images using the [German Traffic Sign Dataset](http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset). After the model is trained, then I tried out the model on images of German traffic signs that you find on the web.

### Dependencies

This lab requires:

* [CarND Term1 Starter Kit](https://github.com/udacity/CarND-Term1-Starter-Kit)

The lab environment can be created with CarND Term1 Starter Kit. Click [here](https://github.com/udacity/CarND-Term1-Starter-Kit/blob/master/README.md) for the details.

### Dataset and Repository

1. Download the data set. The classroom has a link to the data set in the "Project Instructions" content. This is a pickled dataset in which we've already resized the images to 32x32. It contains a training, validation and test set.

2. Clone the project, which contains the Ipython notebook and the writeup template.

```sh

git clone https://github.com/udacity/CarND-Traffic-Sign-Classifier-Project

cd CarND-Traffic-Sign-Classifier-Project

jupyter notebook Traffic_Sign_Classifier.ipynb

```