In this project, I label the pixels of a road in images using a Fully
Convolutional Network (FCN). The fully convolutional network consists of a pre-
trained encoder based on VGG-16 and a decoder that is trained on a GPU. The
network is implemented using Tensorflow on Python. All code is in main.py.
Make sure you have the following is installed:
Download the Kitti Road dataset from [here](http://www.cvlibs.net/download.php
?file=data_road.zip). Extract the dataset in the data folder. This will create the folder data_road with all the training a test images.
Run the following command to run the project:
python main.py
Note If running this in Jupyter Notebook system messages, such as those regarding test status, may appear in the terminal rather than the notebook.
README.md,readme.html: you are reading it! :)main.py: logic to implement, train and save the neural networkruns/1514344551.836532/*: images from validation set