Skip to content

Baladhurgesh/SemSeg

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 

Repository files navigation

Semantic Segmentation

This project is a part of Machine Learning Coursework(CS539) at WPI. In this project we implemented Segnet and 2 other modified architecutures of Segnet. Project website : https://sites.google.com/view/semseg

Installation

Use the Cityscapes to train and test the model.

System Requirements:

Pytorch 1.3.1 Matplotlib 3.0.3 Torchvision 0.4.2 Python 3.5.2

We trained and tested our code in a system which has 6GB RTX2060 Nividia Graphics card.

Usage

  1. Download the dataset and change the DATA_PATH in train_test.py
  2. Change the architecture you want to train or test in the main fucntion.
  3. Run the train_test.py

About

Semantic Segmentation for Autonomous Driving

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages