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test.html
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<html lang="en">
<head>
<meta charset="utf-8">
<title>ncnn webassembly yolo-fastest test</title>
<style>
video {
position: absolute;
visibility: hidden;
}
canvas {
border: 1px solid black;
}
</style>
</head>
<body>
<h1>ncnn webassembly yolo-fastest test</h1>
<input type="file" id="input" accept="image/*">
<div>
<canvas id="canvas"></canvas>
</div>
<script type='text/javascript'>
var Module = {};
if (typeof SharedArrayBuffer === 'undefined') {
fetch('yolo.wasm')
.then(response => response.arrayBuffer())
.then(buffer => {
Module.wasmBinary = buffer;
var script = document.createElement('script');
script.src = 'yolo.js';
script.onload = function() {
console.log('Emscripten boilerplate loaded.');
}
document.body.appendChild(script);
});
}
else {
fetch('yolo.wasm')
.then(response => response.arrayBuffer())
.then(buffer => {
Module.wasmBinary = buffer;
var script = document.createElement('script');
script.src = 'yolo.js';
script.onload = function() {
console.log('Emscripten boilerplate loaded.');
}
document.body.appendChild(script);
});
}
var class_names = [
"background",
"NoMask", "Mask"
];
var colors = [
"rgb( 255, 69, 0)",
"rgb( 32, 178, 170)"
];
function ncnn_yolo() {
var canvas = document.getElementById('canvas');
var ctx = canvas.getContext('2d');
var imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
var data = imageData.data;
ctx.font = '12px sans-serif'
dst = _malloc(data.length);
HEAPU8.set(data, dst);
// max 20 objects
resultarray = new Float32Array(6 * 20);
resultbuffer = _malloc(6 * 20 * Float32Array.BYTES_PER_ELEMENT);
HEAPF32.set(resultarray, resultbuffer / Float32Array.BYTES_PER_ELEMENT);
_yolo_ncnn(dst, canvas.width, canvas.height, resultbuffer);
// resultarray
var qaqarray = HEAPF32.subarray(resultbuffer / Float32Array.BYTES_PER_ELEMENT, resultbuffer / Float32Array.BYTES_PER_ELEMENT + 6 * 20);
var i;
for (i = 0; i < 20; i++) {
var label = qaqarray[i * 6 + 0];
var prob = qaqarray[i * 6 + 1];
var bbox_x = qaqarray[i * 6 + 2];
var bbox_y = qaqarray[i * 6 + 3];
var bbox_w = qaqarray[i * 6 + 4];
var bbox_h = qaqarray[i * 6 + 5];
if (label == -233)
continue;
console.log('qaq ' + label + ' = ' + prob);
//ctx.strokeStyle = colors[i % 19];
if (label == 1) {
ctx.strokeStyle = colors[0];
ctx.fillStyle = colors[0];
}
else {
ctx.strokeStyle = colors[1];
ctx.fillStyle = colors[1];
}
ctx.strokeRect(bbox_x, bbox_y, bbox_w, bbox_h);
var text = class_names[label] + " = " + parseFloat(prob * 100).toFixed(2) + "%";
ctx.textBaseline = 'top';
var text_width = ctx.measureText(text).width;
var text_height = parseInt(ctx.font, 10);
var x = bbox_x;
var y = bbox_y - text_height;
if (y < 0)
y = 0;
if (x + text_width > canvas.width)
x = canvas.width - text_width;
//ctx.fillStyle = "rgb(255,255,255)";
ctx.fillRect(x, y, text_width, text_height);
ctx.fillStyle = "rgb(0,0,0)";
ctx.fillText(text, x, y);
}
_free(resultbuffer);
_free(dst);
}
document.getElementById('input').onchange = function(e) {
var reader = new FileReader();
reader.onload = function(event) {
var img = new Image();
img.onload = function() {
var canvas = document.getElementById('canvas');
var ctx = canvas.getContext('2d');
// scale down to 640x640
var img_w = img.width;
var img_h = img.height;
if (img_w > img_h) {
img_h = img_h * 640 / img_w;
img_w = 640;
}
else {
img_w = img_w * 640 / img_h;
img_h = 640;
}
canvas.width = img_w;
canvas.height = img_h;
ctx.drawImage(img, 0, 0, img_w, img_h);
ncnn_yolo();
}
img.src = event.target.result;
}
reader.readAsDataURL(e.target.files[0]);
};
</script>
<p>
To use this demo, launch google chrome browser, open chrome://flags and enable all experimental webassembly features.
</p>
</body>
</html>