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服装形象片剪辑

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lost

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主题咖啡店

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3D时尚摄影探索

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最赞老师title！

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面具

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物质的第四形态

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炫酷头像

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我的天

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科幻·Science fiction world

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Titan

站酷推荐设计师

The second input of this project controlled the visual component. I used leap motion, to create 5 different hand gestures. Leap Motion will generate 15 coordinates, 3 points for all 5 fingers. The coordinate data was sent to Wekinator and trained using machine learning. Sequentially, Wekinator sends a message to Processing to control 5 different light settings of the neo-pixel light strips, controlled through Adruino.<br><br>If you open Osculator to see the message, you can find 15 outputs transferred from Processing. You also get a message in the process which is significant to know the difference between classification, regression and time warping. In here, Here I used time warping, that&#39;s why we can record the gestures. The problem is I get the message from Wekinator by oscEvent, I tried a lot to see which kind of data type can be received by Processing, and then I used it as a button to transfer the message again to Arduino.