ml5.js: Classifying Drawings with DoodleNet
Quick, draw! In this video, I demonstrate how to use the DoodleNet pre-trained machine learning model to classify drawings of cats, strawberries, and other common doodles in JavaScript (with p5.js and ml5.js). π» Code: https://thecodingtrain.com/learning/ml5/9.1-doodlenet.html
Links discussed in this video:
π DoodleNet - Model Biography (ml5js.org): https://learn.ml5js.org/#/reference/image-classifier?id=doodlenet-model-biography
π Quick, Draw! The Data: https://quickdraw.withgoogle.com/data
π DoodleNet Repository (GitHub): https://github.com/yining1023/doodleNet
Other videos mentioned in this video:
π₯ Quick, Draw! - Coding Challenge #122: https://youtu.be/yLuk0twx8Hc
π₯ Shape Classifier with ml5.js - Coding Challenge #158: https://youtu.be/3MqJzMvHE3E
Timestamps:
0:00 Introduction! About DoodleNet
1:35 Code! doodleClassifier
3:24 Try! console logging results
4:31 Code! resultsDiv and loop classification
6:51 Try! drawing a cat
8:17 Code! make it work with video
8:59 Try! draw a strawwwberrrry
9:11 Code! add threshold
9:44 Try! thicker pen
10:26 Try! threshold on/off
10:51 Try! A snowman
11:13 Wrap up! π
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π₯ Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
π₯ Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
π p5.js: https://p5js.org
π p5.js Web Editor: https://editor.p5js.org/
π Processing: https://processing.org
π Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
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