Behavioural-Cloning

A project to emmulate the driving recorded using the simulator provided by Udacity as part of its Nanodegree Program

Table of Content

1. model.py

• Used to train the deep learning model using the images an steering angle recorded during the simulation of driving over the provided track

2. drive.py

• Used to drive the car over the provided track using the model and the parameters saved in model.h5 file

3. model.h5

• The file generated after training the model

Requirements

• Python
• Keras
• Numpy
• Sklearn
• Other supporting imports mentioned in the respective .py files

Usage

• Generate dataset using the simulator provided by Udacity
• Use model.py to train over the dataset. [Edit the path to fetch the dataset in model.py according to the location of dataset on your local machine]
• model.h5 file will be generated.
• Use drive.py to drive the car on the track using model.h5 as a command line argument to drive.py file

License

• Included in the repo