matryer

func handleGreeter() http.Handler {
	
	// TODO: do any setup stuff here
	
	//... like prepare a template:
	tpl, err := template.ParseFiles("pages/_layout.html", "pages/gopher.html")
	
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		if err != nil {
			// parsing the template failed?

matryer

{
	"categories": [{
		"id": "artwork/010-Body",
		"name": "Body",
		"images": [{
			"id": "artwork/010-Body/blue_gopher.png",
			"name": "blue gopher",
			"href": "https://storage.googleapis.com/gopherizeme.appspot.com/artwork/010-Body/blue_gopher.png",
			"thumbnail_href": "https://lh3.googleusercontent.com/2WSrI5x6u8LqWQ-xBzogIu3QrthPiawLH2zCPvrOgpMPU0K240di8pOKSwhz_IL0xiq5I2pBJkWrhyZDJeAPWD4=s71"
		}, {

matryer

type ArtworkResponse struct {
	Categories        []Category `json:"categories"`
	TotalCombinations int        `json:"total_combinations"`
}

type Category struct {
	ID     string  `json:"id"`
	Name   string  `json:"name"`
	Images []Image `json:"images"`
}

matryer

{
	"id": "8d784442c57fa1647259a37c277c6738b2d79d6a",
	"images": [
		"artwork/010-Body/blue_gopher.png", 
		"artwork/020-Eyes/crazy_eyes.png", 
		"artwork/024-Glasses/all_black_sunglasses.png", 
		"artwork/027-Extras/laptop.png"
	],
	"original_url": "https://storage.googleapis.com/gopherizeme.appspot.com/gophers/8d784442c57fa1647259a37c277c6738b2d79d6a.png",
	"url": "https://lh3.googleusercontent.com/dnKffPVPSYSIXhelVR8q88IM2tHxTQ8GgxlCezQjjqLrGvQI9roQIF71NfaOYN5m3txAfbpzyA48nklQMTZ5wgvG",

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()

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

// 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

<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

/*

	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

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}
		]
	}