Udacity's Self-Driving Car Nanodegree project files and notes.
This repository contains project files for Udacity's Self-Driving Car Nanodegree program which I started working on 14 December, 2017.
- Project 1: Finding Lane Lines (Intro to Computer Vision)
- Project 4: Advanced Lane Lines
- Project 5: Vehicle Detection
- Project 2: Traffic Sign Classifier
- Project 3: Behavioural Cloning
- Train a car to drive in a 3D simulator using a deep neural network.
- Input data comprises steering angles and camera images captured by driving with a keyboard / mouse / joystick in the simulator.
By default, environments are installed into the envs directory in your conda directory.
conda create --name myenv python=x.y
Creating an environment from an environment.yml file. The CarND starter kit, you can find here: CarND Starter Kit
conda env create -f environment.yml
source activate myenv
conda env list
To see a list of all packages installed in a specific environment:
conda list -n myenv
jupyter notebook