Autopilot-TensorFlow

A TensorFlow implementation of this Nvidia paper with some changes.

How to Use

Download the dataset and extract into the repository folder Size: 25 minutes = 256030 = 45,000 images ~ 2.3 GB

Use python train.py to train the model

Use python run.py to run the model on a live webcam feed

Use python run_dataset.py to run the model on the dataset

To visualize training using Tensorboard use tensorboard --logdir=./logs, then open http://0.0.0.0:6006/ into your web browser.

Demo

• Credits: https://github.com/SullyChen/Autopilot-TensorFlow

• Research paper: End to End Learning for Self-Driving Cars by Nvidia. [https://arxiv.org/pdf/1604.07316.pdf]

• NVidia dataset: 72 hrs of video => 726060*30 = 7,776,000 images

• Nvidia blog: https://devblogs.nvidia.com/deep-learning-self-driving-cars/

If you want to try on a slightly large dataset: 70 minutes of data ~ 223GB

• Refer: https://medium.com/udacity/open-sourcing-223gb-of-mountain-view-driving-data-f6b5593fbfa5
• Youtube:https://www.youtube.com/watch?v=qhUvQiKec2U
• Further reading and extensions: https://medium.com/udacity/teaching-a-machine-to-steer-a-car-d73217f2492c
• More data: https://medium.com/udacity/open-sourcing-223gb-of-mountain-view-driving-data-f6b5593fbfa5