Resources for getting started with the vision team.

Getting remote repo on local pc

• cd <directory> # Change into a directory you want the folder in
• git clone <url> # Download the remote repository to local pc

Before working

• git pull # pull other peoples work to your local machine
• <edit code>
• git status # see what git sees
• git add <files you want updated on repo>
• git commit -m "Description of changes here."
• git push # push your updates to the remote repo

Numpy Basics -- Should check these out before anything else!

Intro to Numpy Tutorial

• Monte carlo simulation of the game craps. Example here.

• Image convolver with Numpy -- blurring, sobel operator for edge detection.

Interested in Autonomy?

• Flocking algorithm, all agents think independantly but create emergent behavior.

• Ant colony simulator, trying to mimic the use of pheremones to create intelligent, efficient communities.

Interested in writing code for the Graphics Card?

• Follow this CUDA tutorial.

• Write a voroni tesselation program with CUDA.

• Compute planet orbits really fast with CUDA.

Interested in classic Computer Vision methods?

Intro to CV w/ Numpy Tutorial

CV w/ Scipy and OpenCV Tutorial

• Shrink images to 1/2, 2/3, 3/4 scale with selective column dropping.

• Expand images to 2x, 3x scale with interpolation.

• Use scipy generic_filter to simulate a cellular automaton game. Wolfram 1D Automaton, Game of Life, Langton's Ant, Wireworld.

• Use scipy convolve to create an edge detector, blur filter or a shape detector on space images(?).

• Perform image skeletonization or clean up images with erosion and dialation convolutions.

• Track cells or any simple object with blob tracking, might use mean shift. This likely applicable to our Mission 9 tasks. This blog post.

Interested in Machine Learning?

• Write a K-Nearest Neighbors model to predict the best background color to go with any given text color using this already written GUI or your own interface. Alternatively write a model for automated weather prediction.

• Use k-means unsupervised clustering algorithm to change the color of tomatoes in a salad to blue with sklearn.

• Create a reinforcement learning algorithm to play some openai-gym games, ie q-learning! Sample code.

• Write a neural network from scratch or with pytorch. These 3Blue1Brown videos may help. Michael Nielsen book.

Intro to Numpy

Intro to CV w/ Numpy

CV w/ Scipy and OpenCV

Vision Overview in team drive