Welcome to CSE 576, 2023 Spring

In this repository you will find instructions on how to build your own image processing/computer vision library from (mostly) scratch. The work is divided out into different homework assignments, found in the src/ directory.

To get started, make sure you have git, a C compiler, and make installed. Then run:

git clone https://github.com/UW-CSE-576-2023SP/Homework
cd Homework
make

and check to see that everything compiles correctly. We recommend using Linux or MacOS for the homework since installing make is easier. Linux uses GNU C++ compiler, while MacOS uses XCode C++ compiler.

Due Dates

• HW1 is due on April 10 (23:59pm).

Get started on HW1

Open up the README for homework 1 in src/hw1/README.md, or view it here. Good luck and have fun!

Instructions for Mac Users

In MacOS, make sure you have the latest version of Xcode and perform xcode-select --install. If make still results in an error, try this solution.

Instructions for Windows Users

We do NOT recommend Windows OS for this assignment because C++ compilation is more complex under the Windows environment. However, if you only have Windows computers available, you can still manage your Python packages, C++ compiler, and Makefile with Anaconda.

Installation Steps:

1. Download Anaconda with Python 3.6+
2. Install Anaconda with "admin" rights: PLEASE select "All Users (requires admin privileges)", "Add Anaconda to the system PATH environment variable", and "Register Anaconda as the system Python 3.x".
3. Open "Command Prompt" (aka "cmd") with admin rights, then:
   • run the command conda install -c msys2 m2-base m2w64-gcc to install C++ compiler
   • run the command conda install -c conda-forge make cmake to install Make.
4. Now, you can follow the same instructions as Mac/Linux users do.