A Pen by LIAM Broza on CodePen.
Created
November 18, 2022 16:57
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EE CV Pose Serializer
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<body> | |
<style> | |
.square-box { | |
width: 33%; | |
height: 0; | |
padding-top: 33%; | |
position: absolute; | |
right: 20px; | |
top: 20px; | |
} | |
.landmark-grid-container { | |
height: 100%; | |
width: 100%; | |
position: absolute; | |
top:0; | |
left:0; | |
background-color: #99999999; | |
} | |
</style> | |
<div class="container"> | |
<video class="input_video"></video> | |
<canvas class="output_canvas" width="1280px" height="720px"></canvas> | |
<div class="loading"> | |
<div class="spinner"></div> | |
<div class="message"> | |
Loading | |
</div> | |
</div> | |
</div> | |
<div class="control-panel"> | |
</div> | |
<div class='square-box'> | |
<div class="landmark-grid-container"> | |
</div> | |
</div> |
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import DeviceDetector from "https://cdn.skypack.dev/device-detector-js@2.2.10"; | |
// Usage: testSupport({client?: string, os?: string}[]) | |
// Client and os are regular expressions. | |
// See: https://cdn.jsdelivr.net/npm/device-detector-js@2.2.10/README.md for | |
// legal values for client and os | |
testSupport([ | |
{client: 'Chrome'}, | |
]); | |
function testSupport(supportedDevices:{client?: string; os?: string;}[]) { | |
const deviceDetector = new DeviceDetector(); | |
const detectedDevice = deviceDetector.parse(navigator.userAgent); | |
let isSupported = false; | |
for (const device of supportedDevices) { | |
if (device.client !== undefined) { | |
const re = new RegExp(`^${device.client}$`); | |
if (!re.test(detectedDevice.client.name)) { | |
continue; | |
} | |
} | |
if (device.os !== undefined) { | |
const re = new RegExp(`^${device.os}$`); | |
if (!re.test(detectedDevice.os.name)) { | |
continue; | |
} | |
} | |
isSupported = true; | |
break; | |
} | |
if (!isSupported) { | |
alert(`This demo, running on ${detectedDevice.client.name}/${detectedDevice.os.name}, ` + | |
`is not well supported at this time, expect some flakiness while we improve our code.`); | |
} | |
} | |
const controls = window; | |
const LandmarkGrid = window.LandmarkGrid; | |
const drawingUtils = window; | |
const mpPose = window; | |
const options = { | |
locateFile: (file) => { | |
return `https://cdn.jsdelivr.net/npm/@mediapipe/pose@${mpPose.VERSION}/${file}`; | |
}}; | |
// Our input frames will come from here. | |
const videoElement = | |
document.getElementsByClassName('input_video')[0] as HTMLVideoElement; | |
const canvasElement = | |
document.getElementsByClassName('output_canvas')[0] as HTMLCanvasElement; | |
const controlsElement = | |
document.getElementsByClassName('control-panel')[0] as HTMLDivElement; | |
const canvasCtx = canvasElement.getContext('2d')!; | |
// We'll add this to our control panel later, but we'll save it here so we can | |
// call tick() each time the graph runs. | |
const fpsControl = new controls.FPS(); | |
// Optimization: Turn off animated spinner after its hiding animation is done. | |
const spinner = document.querySelector('.loading')! as HTMLDivElement; | |
spinner.ontransitionend = () => { | |
spinner.style.display = 'none'; | |
}; | |
const landmarkContainer = | |
document.getElementsByClassName('landmark-grid-container')[0] as HTMLDivElement; | |
const grid = new LandmarkGrid(landmarkContainer, { | |
connectionColor: 0xCCCCCC, | |
definedColors: | |
[{name: 'LEFT', value: 0xffa500}, {name: 'RIGHT', value: 0x00ffff}], | |
range: 2, | |
fitToGrid: true, | |
labelSuffix: 'm', | |
landmarkSize: 2, | |
numCellsPerAxis: 4, | |
showHidden: false, | |
centered: true, | |
}); | |
let activeEffect = 'mask'; | |
function onResults(results: mpPose.Results): void { | |
// Hide the spinner. | |
document.body.classList.add('loaded'); | |
// Update the frame rate. | |
fpsControl.tick(); | |
// Draw the overlays. | |
canvasCtx.save(); | |
canvasCtx.clearRect(0, 0, canvasElement.width, canvasElement.height); | |
if (results.segmentationMask) { | |
canvasCtx.drawImage( | |
results.segmentationMask, 0, 0, canvasElement.width, | |
canvasElement.height); | |
// Only overwrite existing pixels. | |
if (activeEffect === 'mask' || activeEffect === 'both') { | |
canvasCtx.globalCompositeOperation = 'source-in'; | |
// This can be a color or a texture or whatever... | |
canvasCtx.fillStyle = '#00FF007F'; | |
canvasCtx.fillRect(0, 0, canvasElement.width, canvasElement.height); | |
} else { | |
canvasCtx.globalCompositeOperation = 'source-out'; | |
canvasCtx.fillStyle = '#0000FF7F'; | |
canvasCtx.fillRect(0, 0, canvasElement.width, canvasElement.height); | |
} | |
// Only overwrite missing pixels. | |
canvasCtx.globalCompositeOperation = 'destination-atop'; | |
canvasCtx.drawImage( | |
results.image, 0, 0, canvasElement.width, canvasElement.height); | |
canvasCtx.globalCompositeOperation = 'source-over'; | |
} else { | |
canvasCtx.drawImage( | |
results.image, 0, 0, canvasElement.width, canvasElement.height); | |
} | |
if (results.poseLandmarks) { | |
drawingUtils.drawConnectors( | |
canvasCtx, results.poseLandmarks, mpPose.POSE_CONNECTIONS, | |
{visibilityMin: 0.65, color: 'white'}); | |
drawingUtils.drawLandmarks( | |
canvasCtx, | |
Object.values(mpPose.POSE_LANDMARKS_LEFT) | |
.map(index => results.poseLandmarks[index]), | |
{visibilityMin: 0.65, color: 'white', fillColor: 'rgb(255,138,0)'}); | |
drawingUtils.drawLandmarks( | |
canvasCtx, | |
Object.values(mpPose.POSE_LANDMARKS_RIGHT) | |
.map(index => results.poseLandmarks[index]), | |
{visibilityMin: 0.65, color: 'white', fillColor: 'rgb(0,217,231)'}); | |
drawingUtils.drawLandmarks( | |
canvasCtx, | |
Object.values(mpPose.POSE_LANDMARKS_NEUTRAL) | |
.map(index => results.poseLandmarks[index]), | |
{visibilityMin: 0.65, color: 'white', fillColor: 'white'}); | |
} | |
canvasCtx.restore(); | |
if (results.poseWorldLandmarks) { | |
grid.updateLandmarks(results.poseWorldLandmarks, mpPose.POSE_CONNECTIONS, [ | |
{list: Object.values(mpPose.POSE_LANDMARKS_LEFT), color: 'LEFT'}, | |
{list: Object.values(mpPose.POSE_LANDMARKS_RIGHT), color: 'RIGHT'}, | |
]); | |
} else { | |
grid.updateLandmarks([]); | |
} | |
} | |
const pose = new mpPose.Pose(options); | |
pose.onResults(onResults); | |
// Present a control panel through which the user can manipulate the solution | |
// options. | |
new controls | |
.ControlPanel(controlsElement, { | |
selfieMode: true, | |
modelComplexity: 1, | |
smoothLandmarks: true, | |
enableSegmentation: false, | |
smoothSegmentation: true, | |
minDetectionConfidence: 0.5, | |
minTrackingConfidence: 0.5, | |
effect: 'background', | |
}) | |
.add([ | |
new controls.StaticText({title: 'EE CV Pose'}), | |
fpsControl, | |
new controls.Toggle({title: 'Selfie Mode', field: 'selfieMode'}), | |
new controls.SourcePicker({ | |
onSourceChanged: () => { | |
// Resets because this model gives better results when reset between | |
// source changes. | |
pose.reset(); | |
}, | |
onFrame: | |
async (input: controls.InputImage, size: controls.Rectangle) => { | |
const aspect = size.height / size.width; | |
let width: number, height: number; | |
if (window.innerWidth > window.innerHeight) { | |
height = window.innerHeight; | |
width = height / aspect; | |
} else { | |
width = window.innerWidth; | |
height = width * aspect; | |
} | |
canvasElement.width = width; | |
canvasElement.height = height; | |
await pose.send({image: input}); | |
}, | |
}), | |
new controls.Slider({ | |
title: 'Model Complexity', | |
field: 'modelComplexity', | |
discrete: ['Lite', 'Full', 'Heavy'], | |
}), | |
new controls.Toggle( | |
{title: 'Smooth Landmarks', field: 'smoothLandmarks'}), | |
new controls.Toggle( | |
{title: 'Enable Segmentation', field: 'enableSegmentation'}), | |
new controls.Toggle( | |
{title: 'Smooth Segmentation', field: 'smoothSegmentation'}), | |
new controls.Slider({ | |
title: 'Min Detection Confidence', | |
field: 'minDetectionConfidence', | |
range: [0, 1], | |
step: 0.01 | |
}), | |
new controls.Slider({ | |
title: 'Min Tracking Confidence', | |
field: 'minTrackingConfidence', | |
range: [0, 1], | |
step: 0.01 | |
}), | |
new controls.Slider({ | |
title: 'Effect', | |
field: 'effect', | |
discrete: {'background': 'Background', 'mask': 'Foreground'}, | |
}), | |
]) | |
.on(x => { | |
const options = x as mpPose.Options; | |
videoElement.classList.toggle('selfie', options.selfieMode); | |
activeEffect = (x as {[key: string]: string})['effect']; | |
pose.setOptions(options); | |
}); |
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@keyframes spin { | |
0% { | |
transform: rotate(0deg); | |
} | |
100% { | |
transform: rotate(360deg); | |
} | |
} | |
.abs { | |
position: absolute; | |
} | |
a { | |
color: white; | |
text-decoration: none; | |
&:hover { | |
color: lightblue; | |
} | |
} | |
body { | |
bottom: 0; | |
font-family: 'Titillium Web', sans-serif; | |
color: white; | |
left: 0; | |
margin: 0; | |
position: absolute; | |
right: 0; | |
top: 0; | |
transform-origin: 0px 0px; | |
overflow: hidden; | |
} | |
.container { | |
position: absolute; | |
background-color: #596e73; | |
width: 100%; | |
max-height: 100%; | |
} | |
.input_video { | |
display: none; | |
position: absolute; | |
top: 0; | |
left: 0; | |
right: 0; | |
bottom: 0; | |
&.selfie { | |
transform: scale(-1, 1); | |
} | |
} | |
.input_image { | |
position: absolute; | |
} | |
.canvas-container { | |
display:flex; | |
height: 100%; | |
width: 100%; | |
justify-content: center; | |
align-items:center; | |
} | |
.output_canvas { | |
width: 100%; | |
display: block; | |
position: relative; | |
left: 0; | |
top: 0; | |
} | |
.logo { | |
bottom: 10px; | |
right: 20px; | |
.title { | |
color: white; | |
font-size: 28px; | |
} | |
.subtitle { | |
position: relative; | |
color: white; | |
font-size: 10px; | |
left: -30px; | |
top: 20px; | |
} | |
} | |
.control-panel { | |
position: absolute; | |
left: 10px; | |
top: 10px; | |
} | |
.loading { | |
display: flex; | |
position: absolute; | |
top: 0; | |
right: 0; | |
bottom: 0; | |
left: 0; | |
align-items: center; | |
backface-visibility: hidden; | |
justify-content: center; | |
opacity: 1; | |
transition: opacity 1s; | |
.message { | |
font-size: x-large; | |
} | |
.spinner { | |
position: absolute; | |
width: 120px; | |
height: 120px; | |
animation: spin 1s linear infinite; | |
border: 32px solid #bebebe; | |
border-top: 32px solid #3498db; | |
border-radius: 50%; | |
} | |
} | |
.loaded .loading { | |
opacity: 0; | |
} | |
.shoutout { | |
left: 0; | |
right: 0; | |
bottom: 40px; | |
text-align: center; | |
font-size: 24px; | |
position: absolute; | |
} |
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