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Leverage the full power of Google's Cloud Vision resources to answer the age-old question: Is this a cat, or not?
###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 catternautGOOGLE_APPLICATION_CREDENTIALS and GCLOUD_PROJECT to your environmental variables
####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
FAQs
Leverage the full power of Google's Cloud Vision resources to answer the age-old question: Is this a cat, or not?
We found that catternaut demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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