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You can train the computer to recognize images, sounds, & poses, using your camera or your own dataset. + +For now, Teachable Machine Node v.1.0.0 holds suport only for image models, but we won't stop here. Check out the [Roadmap](#Roadmap) of what comes next! + +# Install + +- Install using npm + +```sh +npm install @sashido/teachablemachine-node +``` + +- Install using yarn + +```sh +yarn add @sashido/teachablemachine-node +``` + + +# Usage + +### Create you own Model with Teachable Machine + +1. [Gathering samples](https://youtu.be/DFBbSTvtpy4) is the fundamental first step to your Teachable Machine Model. Use your camera to collect data or upload some preselected images. + +2. [Train your Teachable Machine Image Model](https://teachablemachine.withgoogle.com/train?action=onboardOpen&id=CO67EQ0ZWgA). + +![](https://media-blog.sashido.io/content/images/2020/09/tm_export_model.png) + +Check the `Advanced` option for further insights on the model performance and accuracy. Once certain it returns valid results, hit the Export option. + +3. Make sure that you select Tensorflow.js format when exporting. That way your model will be uploaded (for free) and you will receive an access URL. + +![ ](https://media-blog.sashido.io/content/images/2020/08/export_tendorflow.js.png) + +4. Pass the URL to the teachablemachine-node to load the model. Next, let it have the image URL and call `classify` to get the predictions. + +### Play around with our pre-trained 'Is It A Dog?' model. + +SashiDo's team is full of notorious animal lovers and no wonder the sample model was trained to recognize dog pics from other images. 😊 We've collected a dataset of more than 2000 images of dogs, cats, horses, other animals, people and everyday objects and uploaded them into two different classes with Teachable Machine. + +![](https://media-blog.sashido.io/content/images/2020/09/example.gif) + +A big shoutout to [Unsplash.com](https://unsplash.com/) as a great platform for free photos. Check it out in case you're just starting and do not have raw data yet. + +You can load our **Is_It_A_Dog** model using this URL and following the example below: + +``` +https://teachablemachine.withgoogle.com/models/r6BBk-hiN/ +``` + +# Examples + +### NodeJS + +Here's a quick example of how to load the model in your project. + +```javascript +const TeachableMachine = require("@sashido/teachablemachine-node"); + +const model = new TeachableMachine({ + modelUrl: "https://teachablemachine.withgoogle.com/models/r6BBk-hiN/" +}); + +model.classify({ + imageUrl: "https://media-blog.sashido.io/content/images/2020/09/SashiDo_Dog.jpg", +}).then((predictions) => { + console.log("Predictions:", predictions); +}).catch((e) => { + console.log("ERROR", e); +}); +``` + +### ExpressJS + +And the alternative for all Express fans. + +```javascript +const express = require("express"); +const TeachableMachine = require("@sashido/teachablemachine-node"); + +const model = new TeachableMachine({ + modelUrl: "https://teachablemachine.withgoogle.com/models/r6BBk-hiN/" +}); + +const app = express(); +const port = 3000; + +app.get("/image/classify", async (req, res) => { + const { url } = req.query; + + return model.classify({ + imageUrl: url, + }).then((predictions) => { + console.log(predictions); + return res.json(predictions); + }).catch((e) => { + console.error(e); + res.status(500).send("Something went wrong!") + }); +}); + +app.listen(port, () => { + console.log(`Example app listening at http://localhost:${port}`); +}); +``` + +# Roadmap + +In the long run, we will add more options, so you can train and load all kinds of Teachable Machine Models. + + 1. Add support for Pose Models. + + 2. Add support for Audio Models. + + 3. Add support for Gifs. + + 4. Add support for Videos. + +We would love to have your opinion which's the one you would like to see supported first. Don't be shy and drop us a line at hello@sashido.io. + +# Contribute + +Contributors of any kind are welcome. Share your awesome improvements in a pull request and join our mission to make Machine Learning more affordable & accessible! + +# License + +Copyright © 2020, CloudStrap AD. See [LICENSE](https://github.com/SashiDo/teachablemachine-node/blob/master/LICENSE) for further details. diff --git a/index.js b/index.js new file mode 100644 index 0000000..78fe90b --- /dev/null +++ b/index.js @@ -0,0 +1,90 @@ +const tmImage = require("@teachablemachine/image"); +const isImageUrl = require('is-image-url'); +const canvas = require("canvas"); +const { JSDOM } = require("jsdom"); +const dom = new JSDOM(""); + + +global.fetch = require("node-fetch"); +global.document = dom.window.document; +global.HTMLVideoElement = dom.window.HTMLVideoElement; + + +const wait = ms => new Promise(r => setTimeout(r, ms)); + + +const retryOperation = (operation, delay, times, retriesCounter = 0) => new Promise((resolve, reject) => { + return operation() + .then(({ cb }) => { + return resolve(cb()); + }) + .catch(({ message }) => { + if (retriesCounter === 0) { + console.info("[@sashido/teachablemachine-node] -", message); + } + + if (times - 1 > 0) { + retriesCounter++; + return wait(delay) + .then(retryOperation.bind(null, operation, delay, times - 1, retriesCounter)) + .then(resolve) + .catch(reject); + } + + return reject(message); + }); +}); + +const byProbabilty = (predictionA, predictionB) => { + if (predictionA.probability > predictionB.probability) return -1; + if (predictionA.probability < predictionB.probability) return 1; + return 0; +} + +class SashiDoTeachable { + constructor(params) { + this.loadModel(params); + } + + + async loadModel({ modelUrl }) { + if (!modelUrl || modelUrl === "") { + console.error("[@sashido/teachablemachine-node] -", "Missing model URL!"); + } + + try { + this.model = await tmImage.load(`${modelUrl}model.json`, `${modelUrl}metadata.json`); + } catch (e) { + console.error("[@sashido/teachablemachine-node] -", e); + } + } + + + async classify(params) { + const { model } = this; + const { imageUrl } = params; + + if (!isImageUrl(imageUrl)) { + console.error("[@sashido/teachablemachine-node] -", "Image URL is not valid!"); + return Promise.reject({ error: "Image URL is not valid!" }); + } + + if (!model) { + console.error("[@sashido/teachablemachine-node] -", "Model is not ready!"); + return Promise.reject({ error: "Model is not ready!" }); + } + + try { + const image = new canvas.Image(); + image.src = imageUrl; + + const predictions = await this.model.predict(image); + return predictions.sort(byProbabilty); + } catch (error) { + console.error("[@sashido/teachablemachine-node] -", error); + return Promise.reject({ error }); + } + } +} + +module.exports = SashiDoTeachable; diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..1d75da5 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,1563 @@ +{ + "name": "@sashido/teachablemachine-node", + "version": "1.0.0", + "lockfileVersion": 1, + "requires": true, + "dependencies": { + "@teachablemachine/image": { + "version": "0.8.4", + "resolved": "https://registry.npmjs.org/@teachablemachine/image/-/image-0.8.4.tgz", + "integrity": 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