matryer

<ul id='choices'>
	<li id='choice-horror'>
		<a href='javascript:reward("horror")'>Horror</a>
	</li>
	<li id='choice-comedy'>
		<a href='javascript:reward("comedy")'>Comedy</a>
	</li>
	<li id='choice-drama'>
		<a href='javascript:reward("drama")'>Drama</a>
	</li>

matryer

function reward(id) {
	var rewardRequest = {
		reward_id: rewardIDs[id],
		value: 1
	}
	var url = options.suggestionboxAddr+'/models/'+options.modelID+'/rewards'
	makeRequest('post', url, rewardRequest, function(){
		alert('Reward sent - TODO: Redirect user to page /genres/' + id)
	})
}

matryer

var choicesEl = document.getElementById('choices')
for (var choice in response.choices) {
	var choice = response.choices[choice]
	// keep track of this reward ID
	rewardIDs[choice.id] = choice.reward_id
	var choiceEl = document.getElementById('choice-'+choice.id)
	choicesEl.appendChild(choiceEl)
}

matryer

{
	"success": true,
	"choices": [
		{
			"id": "documentary",
			"score": 0.76,
			"reward_id": "5ad7438c11eccdd34ab156e205b69c62"
		},
		{
			"id": "comedy",

matryer

function makePrediction() {
	// create a prediction request that includes some facts about
	// the user.
	var predictRequest = {
		"inputs": [
			{"key": "user_age", "type": "number", "value": ""+user.age},
			{"key": "user_interests", "type": "list", "value": user.interests.join(',')},
			{"key": "user_location", "type": "keyword", "value": user.city}
		]
	}

matryer

/*

	logclass

	1. Run Classificationbox (see https://machinebox.io/docs/classificationbox)
	2. Create a model and train it two classes with IDs: "noise" and "interesting"
	3. Execute this command and pipe logs through it

	Any logs that are not "noise" are passed through, others will be dimmed.

matryer

<script>
	var fv = new machinebox.FaceVerify({
		facebox: "http://localhost:8080",
		videoSelector: '#facePreview',
		snapshotInterval: 1000,
		error: function(error) {
			if (!error) {
				$('.ui.error.message').hide()
				return
			}

matryer

// anonymise produces a new image with faces redacted.
// see https://becominghuman.ai/anonymising-images-with-go-and-machine-box-fd0866adb9f5
func anonymise(src image.Image, faces []facebox.Face) image.Image {
	dstImage := image.NewRGBA(src.Bounds())
	draw.Draw(dstImage, src.Bounds(), src, image.ZP, draw.Src)
	for _, face := range faces {
		faceRect := image.Rect(
			face.Rect.Left,
			face.Rect.Top,
			face.Rect.Left+face.Rect.Width,

matryer

func waitForVideoboxResults(vb *videobox.Client, id string) (*videobox.VideoAnalysis, *videobox.Video, error) {
	var video *videobox.Video
	err := func() error {
		defer fmt.Println()
		for {
			time.Sleep(2 * time.Second)
			var err error
			video, err = vb.Status(id)
			if err != nil {
				return err

matryer

	// gentle scrolling
	// Anything with an href that points to something on the page
	// is gently scrolled to, rather than jumping.
	// Everything else is left alone.
	$("a[href]").click(function(e) { 
		var dest = $(this).attr('href')
		dest = dest.substr(dest.indexOf('#')+1)
		var destEl = $('[id="'+dest+'"]')
		if (destEl.length > 0) {
			e.preventDefault()