// Cloned by Cian on 4 Dec 2021 from World "Recognise any image (clone by Cian)" by Cian 
// Please leave this clone trail here.
 



// Cloned by Cian on 4 Dec 2021 from World "Recognise any image" by Starter user 
// Please leave this clone trail here.



// ML5 image recognition using MobileNet 
// uses AB framework
// enter URL of image at runtime


// no run, pause, step
AB.drawRunControls = false;

let classifier;
let img;

let clearButton;
let canvas;


// asynchronous loads of resources, with callback functions when ready 
var classifierLoaded = false;
var imgLoaded = false;



AB.world.newRun = function () {

    ABWorld.init('lightblue');
    ABWorld.canvas;
    
   
    
    
    function clearCanvas() {
     
     ABWorld.canvas('lightblue');
    }
    //AB.headerRHS();   

    // DoodleNet load pretrained
    doodleClassifier = ml5.imageClassifier('DoodleNet', modelReady)


    function modelReady() {
        console.log('model loaded');
    }
};

//---- setup -------------------------------------------------------
// Do NOT make a setup function.
// This is done for you in the API. The API setup just creates a canvas.
// Anything else you want to run at the start should go into the following two functions.



function beforesetup()      // Optional 
{
    // Anything you want to run at the start BEFORE the canvas is created 
    canvas = createCanvas(400, 400);
    clearButton = createButton('clear');
    
    

}



function aftersetup()       // Optional
{
    // Anything you want to run at the start AFTER the canvas is created 
}


//---- draw -------------------------------------------------------

function draw()             // Optional
{
    // Can put P5 instructions to be executed every step here, or in AB.world.nextStep()  
    if (mouseIsPressed) {
        strokeWeight(8);
        line(mouseX, mouseY, pmouseX, pmouseY);
    }
    
      if (clearButton.mouseIsPressed) {
        clearCanvas;
    }
    
    
}