catternaut

Catternaut

Leverage the full power of Google's Cloud Vision resources to answer the age-old question:

Is this a cat, or not?

Prep

Instructions subject to change, especially that bit about credentials

• npm install catternaut
• Add GOOGLE_APPLICATION_CREDENTIALS and GCLOUD_PROJECT to your environmental variables
  • Get them after registering with Google through this page.

Usage

import { catternaut } from 'catternaut';
 
catternaut('http://animalpetdoctor.homestead.com/acat1.jpg');
// => true
 
catternaut('http://cdn2-www.dogtime.com/assets/uploads/gallery/30-impossibly-cute-puppies/impossibly-cute-puppy-8.jpg');
// => false

supports the following image file types: JPEG, PNG8, PNG24, GIF, Animated GIF (first frame only), BMP, WEBP, RAW, ICO src

What is this wizardry?

Google offers a computer vision service in the cloud. Uploading an image to that service will return a JSON object of labels for items in the photo, in addition to the model's confidence rating for each label. This NPM module utilizes this service to determine if there is a cat in an uploaded image, or not.

---

Based heavily on work done by @AbhiGulati — ty, d00d