A Pen by Shigeru Kobayashi on CodePen.
Created
August 30, 2018 04:42
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Video Classification
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| <html> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Webcam Image Classification using MobileNet and p5.js</title> | |
| </head> | |
| <body> | |
| <h1>Webcam Image Classification using MobileNet and p5.js</h1> | |
| <p id='status'>Loading Model...</p> | |
| <p> | |
| The MobileNet model labeled this as <span id="result">...</span> | |
| <br/>with a confidence of <span id="probability">...</span>. | |
| </p> | |
| </body> | |
| </html> |
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| // Source: https://github.com/ml5js/ml5-examples/blob/master/p5js/ImageClassification/ImageClassification_Video/sketch.js | |
| let classifier; | |
| let video; | |
| function setup() { | |
| noCanvas(); | |
| // Create a camera input | |
| video = createCapture(VIDEO); | |
| // Initialize the Image Classifier method with MobileNet and the video as the second argument | |
| classifier = ml5.imageClassifier("MobileNet", video, modelReady); | |
| } | |
| function modelReady() { | |
| // Change the status of the model once its ready | |
| select("#status").html("Model Loaded"); | |
| // Call the classifyVideo function to start classifying the video | |
| classifyVideo(); | |
| } | |
| // Get a prediction for the current video frame | |
| function classifyVideo() { | |
| classifier.predict(gotResult); | |
| } | |
| // When we get a result | |
| function gotResult(err, results) { | |
| // The results are in an array ordered by probability. | |
| select("#result").html(results[0].className); | |
| select("#probability").html(nf(results[0].probability, 0, 2)); | |
| classifyVideo(); | |
| } |
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| <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.7.1/p5.min.js"></script> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.7.1/addons/p5.dom.min.js"></script> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.7.1/addons/p5.sound.min.js"></script> | |
| <script src="https://unpkg.com/[email protected]/dist/ml5.min.js"></script> |
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