# How_to_simulate_a_self_driving_car

**Repository Path**: jeffreychan/How_to_simulate_a_self_driving_car

## Basic Information

- **Project Name**: How_to_simulate_a_self_driving_car
- **Description**: This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2018-06-05
- **Last Updated**: 2020-12-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# How_to_simulate_a_self_driving_car
This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube

# This video will be released on Wednesday, May 17th at 10 AM PST. This code is a work in progress.

## Overview

This is the code for [this](https://youtu.be/EaY5QiZwSP4) video on Youtube by Siraj Raval. We're going to use Udacity's [self driving car simulator](https://github.com/udacity/self-driving-car-sim) as a testbed for training an autonomous car. 

## Dependencies

You can install all dependencies by running one of the following commands

You need a [anaconda](https://www.continuum.io/downloads) or [miniconda](https://conda.io/miniconda.html) to use the environment setting.

```python
# Use TensorFlow without GPU
conda env create -f environments.yml 

# Use TensorFlow with GPU
conda env create -f environment-gpu.yml
```

Or you can manually install the required libraries (see the contents of the environemnt*.yml files) using pip.


## Usage


### Run the pretrained model

Start up [the Udacity self-driving simulator](https://github.com/udacity/self-driving-car-sim), choose a scene and press the Autonomous Mode button.  Then, run the model as follows:

```python
python drive.py model.h5
```

### To train the model

You'll need the data folder which contains the training images.

```python
python model.py
```

This will generate a file `model-<epoch>.h5` whenever the performance in the epoch is better than the previous best.  For example, the first epoch will generate a file called `model-000.h5`.

## Credits

The credits for this code go to [naokishibuya](https://github.com/naokishibuya). I've merely created a wrapper to get people started.