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Adds ml5.js v0.3.0 to release #144
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* added uNet example * rm video from model load * updated UNET example to current UNET implementation * set frameRate to 5
I am not sure this is better. I do prefer calling `segment()` from `gotResult()` itself, but maybe creating a blank image to eliminate the `draw()` if statement isn't a good idea.
* added sentiment example * move to p5js
* added http://localhost:8080/ml5.js * added all examples with correct http://localhost:8080/ml5.js
* changing example to dropdown * comments
* initial commit * adds example of dcgan using small face model * use named function for callback * rm console.log
* added additional label - show how to specify label nums * adds object as input to .classificaiton()
joeyklee
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Nov 7, 2019
* set ml5 reference to localhost * Unet example webcam (#120) * added uNet example * rm video from model load * updated UNET example to current UNET implementation * set frameRate to 5 * Tinkering with segmentation example (#121) I am not sure this is better. I do prefer calling `segment()` from `gotResult()` itself, but maybe creating a blank image to eliminate the `draw()` if statement isn't a good idea. * Sentiment example (#118) * added sentiment example * move to p5js * fixed unet sketch at segmentationImage (#122) * add cvae example (#117) * added new cvae example (#123) * handle html elements in p5 and cleaned up functions (#124) * simplify CVAE example (#125) * simplfiying the sentiment example (#126) * simplify unet example (#127) * Update localhost reference and script (#129) * added http://localhost:8080/ml5.js * added all examples with correct http://localhost:8080/ml5.js * changing example to dropdown (#130) * changing example to dropdown * comments * Adds DCGAN example (#138) * initial commit * adds example of dcgan using small face model * use named function for callback * rm console.log * updated className to label (#141) * Feature extractor update to specify number of labels (#142) * added additional label - show how to specify label nums * adds object as input to .classificaiton() * changed version ml5 reference to 0.3.0 * added p5 version 0.8.0
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Adds and updates examples to be compatible with ml5.js v0.3.0