animaloptics

Project structure outline of important things

.
├── figs
│   └── figures we made and code to generate them
├── data
│   └── currently just formatted acuity data from the source below for various species and many birds.
├── simulator
|   ├── Simulator.py # functional for twitter bot will make it easier if we add to this project more
|   ├── dog.py # takes an image returns an image of dog vision simulation
│   └── translations.py # various helper functions for acuity translations and other stuff
├── twitterbot                
│   └── everything twitter bot related
└── README.md

Steps

1. Cone catch modeling
2. Acuity control
3. Brightness discrimination

Things that would improve this

• Cameras arent consistent and since raw images are the ideal data to be working with we could create a linearization model by first taking an image of a known color pallete.[2]

Sources

• [1] https://dog-vision.andraspeter.com/
• [2] http://www.empiricalimaging.com/ (data/code - https://github.com/troscianko/micaToolbox)

Data

List of common animal spatial acuities

http://www.empiricalimaging.com/knowledge-base/list-of-animal-spatial-acuities/

A poster we made overviewing the project can be found here.