irealva

const similarity = require('compute-cosine-similarity');
const VPTreeFactory = require('vptree');

const poseData = [ […], […], […], …] // an array with all the images’ pose data
let vptree ; // where we’ll store a reference to our vptree

// Function from the previous section covering cosine distance
function cosineDistanceMatching(poseVector1, poseVector2) {
    let cosineSimilarity = similarity(poseVector1, poseVector2);
    let distance = 2 * (1 - cosineSimilarity);

irealva

// poseVector1 and poseVector2 are 52-float vectors composed of:
// Values 0-33: are x,y coordinates for 17 body parts in alphabetical order
// Values 34-51: are confidence values for each of the 17 body parts in alphabetical order
// Value 51: A sum of all the confidence values
// Again the lower the number, the closer the distance

function weightedDistanceMatching(poseVector1, poseVector2) {
  let vector1PoseXY = poseVector1.slice(0, 34);
  let vector1Confidences = poseVector1.slice(34, 51);
  let vector1ConfidenceSum = poseVector1.slice(51, 52);

irealva

// Great npm package for computing cosine similarity  
const similarity = require('compute-cosine-similarity');

// Cosine similarity as a distance function. The lower the number, the closer // the match
// poseVector1 and poseVector2 are a L2 normalized 34-float vectors (17 keypoints each  
// with an x and y. 17 * 2 = 34)
function cosineDistanceMatching(poseVector1, poseVector2) {
  let cosineSimilarity = similarity(poseVector1, poseVector2);
  let distance = 2 * (1 - cosineSimilarity);
  return Math.sqrt(distance);

irealva

/*
 Author: Irene Alvarado

 Description: Add all the Twitter users you are following to a Twitter list. 
 Useful if using services such as TweetDeck to search only through people you are following

 To run: first install twit through node `npm install twit`, then run `node addTwitterFollowingToList.js`
 Change your API keys and list configurations where the comments say TODO.

 Note about API limits: Twitter sets limits for how many users you can add to a list within 12 hours.