schorschie / udacity_dog_breed

The Capstone Project from the Udacity Machine Learning Engineer Nanodegree

Udacity Dog Breed Identification

This is my project submission for the Udacity project "Dog Breed Identification".

The originally provided source code template is linked here: project dog classification.

Installation

Source Code

You need a python 3.X installation and preferably a environment management like conda.

Download or clone this git repository and install the python dependencies using the following command:

# Install uda_dog environment:
conda env create -f requirements.yml

# Remove uda_dog environment:
conda remove --name uda_dog --all

Data

To run the dog app you need to download the following images of dogs and humans:

• Download the dog dataset. Unzip the folder and place it in this project's home directory, at the location /data/dog_images.

• Download the human dataset. Unzip the folder and place it in the home directory, at location /data/lfw.

Documentation

The project is documented in the following two files:

• Capstone Proposal
• Project Report

Run App

To run the "dog app" open and run the jupyter notebook dog_app

Contact

Grzegorz Lippe - @GrzegorzLippe - [email protected]