# trafficsign_classifier

**Repository Path**: JimLiuGC/trafficsign_classifier

## Basic Information

- **Project Name**: trafficsign_classifier
- **Description**: Use pytorch to create a LeNet model to classify the traffic sign.The dataset is from GTSRB(German Traffic Sign)
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2018-11-10
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## Traffic Sign Classifier by pytorch

The traffic sign dataset is from GTSRB.Because the dataset is raw, whitch means you need to cut the image according to the annontation csv file.**This repo dosen't provide any final dataset images and labels.**

# How to use this repo

1. Clone this repo
2. Download the dataset from the GTSRB website
3. Make the images and labels by your own according to the csv files
4. Modifiy the path where your dataset in in the code file, and run the python code file start with 'get' to get the proper dataset format from the raw dataset
5. Run the main.py to train and test.py to test

# Requirement and dependence
1. python3
2. pytorch and torchvision
3. skimage and opencv

**Enjoy yourself**