* Recenter each centroid.

* Use the features of MobileNet as a regressor. * @param {HTMLVideoElement || p5.Video} video - Optional. * An HTML video element or a p5.js

* Resize results to size of input image * @param {*} str

* Segments the image with personSegmentation * @param {HTMLVideoElement | HTMLImageElement | HTMLCanvasElement | object | function | number} opti

* Set the optimizer function given the learning rate * as a parameter * @param {*} learningRate * @param {*} optimizer

* Sets the return options for .detect() or .detectSingle() in case any are given * @param {Object} faceApiOptions

* train * @param {*} _options * @param {*} _cb

* applyOneHotEncodingsToDataRaw * does not set this.data.raws * but rather returns them * @param {*} _dataRaw * @param {*} _meta

* Classifies the audio from microphone and takes a callback to handle the results * @param {function | number} numOrCallback - * takes any of

* Classifies the given input and returns an object with labels and confidence * @param {HTMLImageElement | HTMLCanvasElement | HTMLVideoElement} im

* synchronous classify internal * @param {*} _input * @param {*} _cb

* Computes what will become the image tensor * @param {number} latentDim - the number of latent dimensions to pass through * @param {object}

* convertTrainingDataToTensors * @param {*} _trainingData * @param {*} _meta

* createLayersNoTraining

* creates a sequential model * uses switch/case for potential future where different formats are supported * @param {*} _type

* Create a new project