Pixels

Lab 2 Test Driven Development

Aims The aim of this lab is to introduce the process of TDD and develop some simple tests. Multi File Build and Project Setup Build Tools (cmake and make test) Using gtest and git Test Driven Design of a Simple RGBA structure Getting Started To start this project we are going to build a typical software project setup. By creating the following folders

Lab 2 Test Driven Development

Aims The aim of this lab is to introduce the process of TDD and develop some simple tests. Multi File Build and Project Setup Build Tools (cmake and make test) Using gtest and git Test Driven Design of a Simple RGBA structure Getting Started To start this project we are going to build a typical software project setup. By creating the following folders

Lab 3 An Image Class

Aims The aim of this lab is to continue our exploration of TDD in C++ by developing an Image Class Using GitHub Developing a Simple Image Class Writing Images with OpenImageIO Some simple Image Algorithms. Getting Started We are going to use GitHub for this work and I have sent you a link to create the repository in advance.

Lab 3 An Image Class

Aims The aim of this lab is to continue our exploration of TDD in C++ by developing an Image Class Configure GitHub for labs. Developing a Simple Image Class Writing Images with OpenImageIO Some simple Image Algorithms. Getting Started We are now going to create a new labs folder based on our GitHub classroom (you would have been sent an invite).

Lab 4 Diffusion Limited Aggregation

Aims The aim of this lab is to continue our exploration of TDD in C++ by developing a simulation of diffusion limited aggregation Introduction to DLA simulations Understand C++ 11 Random number classes #include Creating Image Sequences Using Command Line Arguments Introduction to DLA Diffusion-limited aggregation (DLA) is the process whereby particles undergoing a random walk due to Brownian motion cluster together to form aggregates of such particles. This theory, proposed by T.A. Witten Jr. and L.M. Sander in 1981,[1] is applicable to aggregation in any system where diffusion is the primary means of transport in the system. DLA can be observed in many systems such as electrodeposition, Hele-Shaw flow, mineral deposits, and dielectric breakdown.

Lab 4 Diffusion Limited Aggregation

Aims The aim of this lab is to continue our exploration of TDD in C++ by developing a simulation of diffusion limited aggregation Introduction to DLA simulations Understand C++ 11 Random number classes #include Creating Image Sequences Using Command Line Arguments Introduction to DLA Diffusion-limited aggregation (DLA) is the process whereby particles undergoing a random walk due to Brownian motion cluster together to form aggregates of such particles. This theory, proposed by T.A. Witten Jr. and L.M. Sander in 1981,[1] is applicable to aggregation in any system where diffusion is the primary means of transport in the system. DLA can be observed in many systems such as electrodeposition, Hele-Shaw flow, mineral deposits, and dielectric breakdown.