github:https://github.com/CodeLabClub/scratch3_knn
參考文章:https://github.com/CodeLabClub/scratch3_knn_install
cd scratch-gui/node_modules/scratch-vm/src/exteions
git clone https://github.com/CodeLabClub/scratch3_knn.git
cd scratch3_knn
cp -r knn ../../../../../static
vim mobilenet.js
約1083行
註解//var BASE_PATH = 'http://storage.codelab.club/tfjs-models/tfjs/'
改成var BASE_PATH = '../static/knn/';
vim index.js
把這三行註解
//import * as tf from '@tensorflow/tfjs';
//import * as mobilenetModule from './mobilenet.js';
//import * as knnClassifier from '@tensorflow-models/knn-classifier';
加入
const tf = require('@tensorflow/tfjs');
const mobilenetModule = require('./mobilenet.js');
const knnClassifier = require('@tensorflow-models/knn-classifier');
vim ../../extension-support/extension-manager.js
在const builtinExtensions = {
中的最後面加上,,按下enter,再貼上cxknn:() =>require('../extensions/scratch3_knn')
cd ../../../../../src/lib/libraries/extensions/
mkdir knnAlgorithm
加入圖片knnAlgorithm.png 和 knnAlgorithm-small.svg
vim index.jsx
在import的最後面加入二行
import knnalgorithmImage from './knnAlgorithm/knnAlgorithm.png';
import knnalgorithmInsetImage from './knnAlgorithm/knnAlgorithm-small.svg';
在export default [的最後面加入
{
name: (
<FormattedMessage
defaultMessage="knn algorithm"
description="Name for the 'knn algorithm' extension"
id="gui.extension.knnalgorithm.name"
/>
),
extensionId: 'cxknn',
iconURL: knnalgorithmImage,
insetIconURL: knnalgorithmInsetImage,
description: (
<FormattedMessage
defaultMessage="knn algorithm."
description="Description for the 'knn algorithm' extension"
id="gui.extension.knnalgorithm.description"
/>
),
featured: true,
helpLink: 'https://github.com/CodeLabClub/scratch3_knn'
},
查看目前npm 安裝套件的版本
npm -l 套件名稱
例如:
npm ls @tensorflow-models/knn-classifier
scratch-gui@0.1.0 /home/teacher/音樂/osep_scratch-gui
└── @tensorflow-models/knn-classifier@1.2.2
大致上需要
"@tensorflow-models/knn-classifier": "^1.2.2",
"@tensorflow/tfjs": "^0.13.5",
"@tensorflow/tfjs-converter": "^1.2.1",
"@tensorflow/tfjs-core": "^1.2.1",
"@tensorflow/tfjs-layers": "^0.8.5",
安裝特定版本
npm install @tensorflow/tfjs@0.10.0
npm install
@tensorflow-models/knn-classifier @tensorflow/tfjs @tensorflow/tfjs-converter @tensorflow/tfjs-core @tensorflow/tfjs-layers
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