v0.4.1

change log

• makes testing more efficient - removes redundant model instantiations
• adds ml5.flipImage() function to allow flipping of video and images
• removes console.log from imageClassifier test
• fixes URLs to p5 web editor examples
• allows passing video to face-api .detect() and .detectSingle()
• fixes bug when passing in teachable machine URL
• adds test for sentiment
• cleans up devOps scripts

v0.4.0

Major Notes:

• added ml5.neuralNetwork()
• added ml5.faceApi()
• added ml5.kmeans()
• p5 preload() is now supported for all features (except ml5.neuralNetwork())
• p5 instance mode can now be used with ml5
• updates posenet to v2.1.3
• updates mobilenet to v2.0.3
• updates tensorflow to 1.2.1
• updates DCGAN to accept latent vector
• Adds imageData handling for image inputs
• Adds support for calling .segment() and .segmentWithParts() directly on video
• changes documentation to use docsify directly in ml5-library rather than using website

Fixes:

• Fixes posenet parameter inputs

Additional Notes:

v0.3.1

Major Notes:

• Added ml5.imageClassifier('DoodleNet) by @yining1023 - allows for classifying doodles trained on Google's QuickDraw dataset
• Added ml5.soundClassifier() by @yining1023 - allows for use of the SpeechCommands - https://github.com/tensorflow/tfjs-models/tree/master/speech-commands - as well as using trained audio from google's Teachable Machine.
• Added support for models trained in Google's new Teachable Machine as part of ml5.imageClassifier() and ml5.soundClassifier() by @yining1023
• Added BodyPix - https://github.com/tensorflow/tfjs-models/tree/master/body-pix by @joeyklee
• Added all-contributors for highlighting ml5 contributors

Models Added/Updates:

• Added ml5.imageClassifier('DoodleNet) by @yining1023
• Added ml5.soundClassifier() by @yining1023
• Added ml5.bodyPix() by @joeyklee
• Updated DCGAN model loading and support for preload() in p5js. Now add a manifest.json with the url of your model. by @joeyklee

Examples added:

• Added examples for ml5.imageClassifier() for: doodleNet - Canvas, doodleNet - video, loading custom model from Teachable Machine
• added examples for ml5.soundClassification() for: speechCommands and speechCommands loaded from custom model
• Added [BodyPix] Examples - https://github.com/ml5js/ml5-examples/tree/development/p5js/BodyPix
• Updated DCGAN example with urban aerial image generator

Handy things:

• @shiffman and @handav are presenting at EyeO 2019 - http://eyeofestival.com/, http://eyeofestival.com/speaker/hannah-davis/, http://eyeofestival.com/speaker/daniel-shiffman/
• New ml5.js website alpha version is launched - https://ml5js.org

v0.3.0

Major notes:

1. Updated tensorflow.js dependency to v1.1.2 via @WenheLI and @joeyklee
2. includes update to @magenta/sketch to v0.2.0 via @joeyklee
3. FeatureExtractor takes number of labels as input to .classification() allowing users to specify how many labels they want to reclassify: #376 via @joeyklee , @yining1023, and @shiffman

Models added:

1. UNET - learn more: https://towardsdatascience.com/u-net-b229b32b4a71 by @zaid
2. CVAE - conditional variational auto encoder - learn more: https://wiseodd.github.io/techblog/2016/12/17/conditional-vae/ by @WenheLI
3. Sentiment - learn more: https://www.tensorflow.org/tutorials/keras/basic_text_classification via @itay
4. DCGAN - Deep Convolutional Generative Adversarial Networks - https://github.com/carpedm20/DCGAN-tensorflow

Examples added:

1. UNET - https://github.com/ml5js/ml5-examples/tree/development/p5js/UNET/UNET_webcam by @joeyklee & @shiffman
2. CVAE - https://github.com/ml5js/ml5-examples/tree/development/p5js/CVAE by @wenhe li, @joeyklee, & @shiffman
3. Sentiment - https://github.com/ml5js/ml5-examples/tree/development/p5js/Sentiment @itay & @joeyklee & @shiffman
4. DCGAN - https://github.com/ml5js/ml5-examples/tree/development/p5js/DCGAN @viztopia & @joeyklee

Handy things:

1. Adding custom names to saved feature extractor - see: #353
2. Added p5Utils - now we have a suite of functions for tighter integration of ml5 to handle p5 images: #358 @wenhe li
3. CharRNN tests now much faster: #349 by @brent
4. Begin to add jsdoc style comments in code for better documentation: #378 via @WenheLI and @joeyklee
5. @magenta/sketch updated its tensorflow dependency to 1.0.2 making it compatible with our update

Fixes:

1. PoseNet .singlePose() and .multiPose() now return consistent results #381
2. Adds check for mozCaptureStream in YOLO: #375

Thanks all for your hard work + contributions! Have a nice weekend!

V0.2.3

v0.2.3

Release: ml5.js v0.2.3 🎉

Fixes

• Fixes broken SketchRNN: #332

v0.2.2

v0.2.2

Release: ml5.js v0.2.2 🎉

API updates:

• PoseNet now supports accessing parts of the body by name: #293
• ml5 now supports p5.js's preload function for specified models: #313
• ImageClassifier and FeatureExtractor returns label and confidence: #292
• YOLO is now returns label and confidence vs. className and classProb: #316

Development:

• Added tests to CharRNN - #307
• Added functionality to add a manual test folder while experimenting with ml5: #295
• We're sunsetting the use of master as a branch name convention and specifying development or release for changes: #319
• added documentation on CONTRIBUTING: #315
• solves linting support issues for vsCode: #324

Fixes:

• Fixes bug related to style transfer on nonsquare inputs: #311
• Fixes SketchRNN naming issue: #325

0.0.5

TODO: add changelog

0.2.1

ml5.js v0.2.1 includes the following updates and additions:

• SketchRnn
• CharRNN
• Updated API for image classification
• KNN
• darknet and tiny darkent models in imageClassifer()
• featureExtractor saves and load model.
• stateful LSTM

0.1.1

TODO: add change log

• Added Pix2Pix
• Added KNN

0.0.8

Merge pull request #173 from meiamsome/testing/word2vec

Word2Vec tests