# Welcome to CSE 455 (Computer Vision) Spring 2020!

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-455-2020SP/homeworks
cd homeworks
make
```

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

## Get started on HW0

Open up the README for homework 0 in src/hw0/README.md, or view it [here](src/hw0/README.md). 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](https://github.com/frida/frida/issues/338#issuecomment-426777849) 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](https://www.anaconda.com/distribution/) 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.
6. Now, you can follow the same instructions as Mac/Linux users do.