A Pen by Shigeru Kobayashi on CodePen.
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August 20, 2018 03:42
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Grad-CAM [WIP]
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8" /> | |
| </head> | |
| <body> | |
| <h1></h1> | |
| <img id="bird" src="https://ml5js.org/docs/assets/img/bird.jpg" crossorigin="anonymous" /> | |
| </body> | |
| </html> |
A Pen by Shigeru Kobayashi on CodePen.
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| console.clear(); | |
| let sourceImg; | |
| function setup() { | |
| sourceImg = select("#bird"); | |
| sourceImg.class("img").size(224, 224); | |
| loadMobilenet(); | |
| } | |
| async function loadMobilenet() { | |
| const model = await tf.loadModel( | |
| "https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v1_0.25_224/model.json" | |
| ); | |
| model.summary(); | |
| // Reference: | |
| // https://github.com/Ankush96/grad-cam.tensorflow/blob/master/main.py#L29-L62 | |
| const nbClasses = 1000; | |
| model.predict(imgToTensor(sourceImg.elt, [224, 224])).print(); | |
| const predictedClass = model | |
| .predict(imgToTensor(sourceImg.elt, [224, 224])) | |
| .as1D() | |
| .argMax(); | |
| let classId = (await predictedClass.data())[0]; | |
| const convLayer = model.getLayer("conv_pw_13"); | |
| const oneHot = tf.oneHot(tf.tensor1d([classId], "int32"), nbClasses); | |
| const signal = tf.mul( | |
| model.getLayer("reshape_2").output, | |
| oneHot.asType("float32") | |
| ); | |
| // TODO: Implement following lines... | |
| } | |
| // From: https://github.com/ml5js/ml5-library/blob/5756876f3647cab6ff657dd0db4ec92ed668796e/src/utils/imageUtilities.js#L64-L75 | |
| function imgToTensor(input, size = null) { | |
| return tf.tidy(() => { | |
| let img = tf.fromPixels(input); | |
| if (size) { | |
| img = tf.image.resizeBilinear(img, size); | |
| } | |
| // const croppedImage = cropImage(img); | |
| const batchedImage = img.expandDims(0); | |
| return batchedImage | |
| .toFloat() | |
| .div(tf.scalar(127)) | |
| .sub(tf.scalar(1)); | |
| }); | |
| } |
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| <script src="https://cdnjs.cloudflare.com/ajax/libs/tensorflow/0.12.5/tf.min.js"></script> | |
| <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> |
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