Semantic Segmentation

Introduction

In this project, you'll label the pixels of a road in images using a Fully Convolutional Network (FCN).

Setup

Frameworks and Packages

Make sure you have the following is installed:

• Python 3
• TensorFlow
• NumPy
• SciPy

Dataset

Download the Kitti Road dataset from here. Extract the dataset in the data folder. This will create the folder data_road with all the training a test images.

Start

Implement

Implement the code in the main.py module indicated by the "TODO" comments. The comments indicated with "OPTIONAL" tag are for people that want to get the most out of this project. They're not required to complete.

Run

Run the following command to run the project:

python main.py

Submission

Submit the project by June 18th. If you don't finish the project, please submit it anyways.

1. Ensure you've passed all the unit tests.
2. Ensure you pass all points on the rubric.
3. When you're done with the project, please submit all python files in a zip file.

• helper.py
• main.py
• project_tests.py

4. Email it back to me with a paragraph or more about how you felt about the project.

Feedback

Any other feedback, please create a Github Issue in this repository. If you want to go farther than that, you can also create a pull request to submit the fix.