From 67acadc92aedc7f74cdcd8c81fa9f5b2ef65508b Mon Sep 17 00:00:00 2001 From: amirfeqhi Date: Mon, 6 Apr 2020 18:35:54 +0430 Subject: [PATCH 01/49] added getData method --- src/NeuralNetwork/NeuralNetworkData.js | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/src/NeuralNetwork/NeuralNetworkData.js b/src/NeuralNetwork/NeuralNetworkData.js index aa368d7fc..98571f3cf 100644 --- a/src/NeuralNetwork/NeuralNetworkData.js +++ b/src/NeuralNetwork/NeuralNetworkData.js @@ -956,6 +956,16 @@ class NeuralNetworkData { return parentCopy; } + + /** + * getData + * return data object's raw array + * to make getting raw data easier + */ + getData() { + const rawArray = this.data.raw; + return rawArray; + } } export default NeuralNetworkData; From 3ab3b09945a40e40a627d24d0e206df260f32d53 Mon Sep 17 00:00:00 2001 From: asvsfs Date: Thu, 6 Aug 2020 20:32:04 +0430 Subject: [PATCH 02/49] elementary dbscan algorithm --- examples/dbscans/data/data.csv | 3001 ++++++++++++++++++++++++++++++++ src/DBSCAN/index.js | 180 ++ src/DBSCAN/index_test.js | 33 + 3 files changed, 3214 insertions(+) create mode 100644 examples/dbscans/data/data.csv create mode 100644 src/DBSCAN/index.js create mode 100644 src/DBSCAN/index_test.js diff --git a/examples/dbscans/data/data.csv b/examples/dbscans/data/data.csv new file mode 100644 index 000000000..0532e7938 --- /dev/null +++ b/examples/dbscans/data/data.csv @@ -0,0 +1,3001 @@ +x,y +54620,43523 +52694,42750 +53253,43024 +54925,42624 +54973,43980 +52967,42955 +55143,40238 +53071,44896 +55710,44219 +54459,43964 +54467,44351 +53570,41898 +55155,43399 +54051,41019 +55335,44023 +54449,42872 +53399,42273 +54241,43580 +56000,41710 +53204,42630 +54524,42904 +55665,44100 +55829,40780 +54059,42096 +53106,42771 +54427,43777 +55368,41828 +53927,45077 +55278,44081 +55909,41497 +53344,42929 +55095,42443 +55645,43363 +55718,43777 +57115,44424 +54963,44875 +54483,43594 +54543,44843 +54263,39356 +53992,42499 +54729,40311 +55013,44589 +53332,43782 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+10200,62166 +10536,62434 +11719,61142 +9996,61355 +11775,61142 +9033,63414 +9287,62954 +9049,59370 +10457,58942 +9647,59886 +8754,61242 +11165,59822 +8828,59102 +8879,59244 +10002,61399 diff --git a/src/DBSCAN/index.js b/src/DBSCAN/index.js new file mode 100644 index 000000000..436a3ad48 --- /dev/null +++ b/src/DBSCAN/index.js @@ -0,0 +1,180 @@ +// Copyright (c) 2020 ml5 +// +// This software is released under the MIT License. +// https://opensource.org/licenses/MIT + +/* eslint "no-param-reassign": [2, { "props": false }] */ +/* +DBSCAN Algorithm (with Euclidian distance). Influenced By jDBSCAN +*/ + +import * as tf from "@tensorflow/tfjs-node"; +import callCallback from '../utils/callcallback'; + +/** + * Read in a csv file from a path to its location. + * @param {string} path + */ +async function readCsv(path) { + const myCsv = tf.data.csv(path); + const loadedData = await myCsv.toArray(); + return loadedData; +} + +/** + * Load and flatten an array of arrays, an array of objects, or a string + * path to a csv. + * @param {string || array || object} inputData + */ +async function loadDataset(inputData) { + let data; + if (typeof inputData === "string") { + data = await readCsv(inputData); + } else { + data = inputData; + } + const dataFlat = data.map((d) => { + return Object.values(d); + }); + return dataFlat; +} + +class DBSCAN { + + /** + * Create a DBSCAN. + * @param {String || array || object} dataset - The dataset to cluster. in x, y format => [{x:1,y:2}] + * @param {options} options - An object describing a model's parameters: + * - eps: Minimum distance between neighbours + * - minPts: Minimum number of neighbours to count as a core point + * @param {function} callback - Optional. A callback to be called once + * the model has loaded. If no callback is provided, it will return a + * promise that will be resolved once the model has loaded. + */ + + constructor(dataset, options, callback) { + this.config = { + eps: options.eps || DEFAULTS.eps, + minPts: options.minPts || DEFAULTS.minPts, + }; + this.last_cluster_id = 0; + this.status = []; + this.load(dataset).then(callback); + this.ready = callCallback(this.load(dataset), callback); + } + + /** + * Load dataset, and run model. + * @param {string || array || object} dataset + */ + async load(dataset) { + this.dataset = await loadDataset(dataset); + tf.tidy(() => { + this.dataTensor = tf.tensor2d(this.dataset); + this.dataset.forEach((d) => { + const tensors = tf.tensor1d(Object.values(d)); + d.tensor = tensors; + }); + this.fit(); + }); + return this; + } + + /** + * Run DBSCAN algorithm. + */ + fit() { + this.dataset.forEach((d, idx) => { + if (d.status === undefined) { + d.status = 0; // initlize as a noise point + let neighbours_indices = this.get_neighbours_indices(d); + if (neighbours_indices.length < this.config.minPts) { // Border or noise + d.status = 0; + } else { + this.increment_cluster_id() + this.extend(idx, neighbours_indices); + } + } + }); + } + + /** + * Extend cluster by running algorithm on neighbours and detect neighbours that are core points as well + * @param {number} point_index + * @param {number[]} neighbours_indices + */ + extend(t_point_idx, neighbours_indices) { + this.dataset[t_point_idx].clusterid = this.get_cluster_id(); + this.dataset[t_point_idx].status = this.dataset[t_point_idx].clusterid; + for (let i = 0; i < neighbours_indices.length; i++) { + const curr_point_idx = neighbours_indices[i]; + + if (this.dataset[curr_point_idx].status === undefined) { + this.dataset[curr_point_idx].status = 0; + let curr_neighbours = this.get_neighbours_indices( + this.dataset[curr_point_idx] + ); + let curr_num_neighbours = curr_neighbours.length; + + if (curr_num_neighbours >= this.config.minPts) { + this.extend(curr_point_idx, curr_neighbours); + } + } + + if (this.dataset[curr_point_idx].status < 1) { + this.dataset[curr_point_idx].status = this.dataset[ + t_point_idx + ].clusterid; + this.dataset[curr_point_idx].clusterid = this.dataset[ + t_point_idx + ].clusterid; + } + } + } + + /** + * Return last generated cluster id + */ + get_cluster_id() { + return this.last_cluster_id; + } + /** + * increment cluster id + */ + increment_cluster_id() { + this.last_cluster_id++ + } + + /** + * Find closest neighbours to each observation. + */ + get_neighbours_indices(t_point) { + try { + let neighbours = tf.tidy(() => { + const { values, indices } = tf + .squaredDifference(t_point.tensor, this.dataTensor) + .sum(1) + .sqrt() + .topk(this.dataTensor.shape[0], true) + return tf + .stack([values.asType("float32"), indices.asType("float32")], 1) + .arraySync() + .filter((v, idx) => { + return v[0] <= this.config.eps; + }) + .reduce((prev, cur, idx, res) => { + prev.push(cur[1]); + return prev; + }, []); + }); + return neighbours; + } catch (error) { + console.log(`error ${error}`); + } + } +} + +const dbscan = (dataset, options, callback) => + new DBSCAN(dataset, options, callback); + +export default dbscan; diff --git a/src/DBSCAN/index_test.js b/src/DBSCAN/index_test.js new file mode 100644 index 000000000..a4ee4b176 --- /dev/null +++ b/src/DBSCAN/index_test.js @@ -0,0 +1,33 @@ +// Copyright (c) 2019 ml5 +// +// This software is released under the MIT License. +// https://opensource.org/licenses/MIT + +const { dbscan } = ml5; + +const DBSCAN_DEFAULTS = { + eps: 50, + minPts: 3, +}; + +describe("DBSCAN", () => { + let dbscanModel; + const dataurl = + "https://raw.githubusercontent.com/asvsfs/ml5-library/development/examples/dbscan/data/data.csv"; + + beforeAll(async () => { + jasmine.DEFAULT_TIMEOUT_INTERVAL = 10000; + dbscanModel = await dbscan(dataurl, DBSCAN_DEFAULTS, () => {}); + await dbscanModel.load(dataurl); + }); + + it("Should create dbscan with all the defaults", async () => { + expect(dbscanModel.config.eps).toBe(DBSCAN_DEFAULTS.k); + expect(dbscanModel.config.minPts).toBe(DBSCAN_DEFAULTS.maxIter); + }); + + it("dbscanModel dataset : Should have length 3000", async () => { + // await kmeansModel.load(dataurl) + expect(dbscanModel.dataset.length).toBe(3000); + }); +}); From 49be12453707c1991e7328e3c1ae1792bce2efb2 Mon Sep 17 00:00:00 2001 From: asvsfs Date: Thu, 6 Aug 2020 20:54:43 +0430 Subject: [PATCH 03/49] dbscan style corrected --- src/DBSCAN/index.js | 79 +++++++++++++++++++++++---------------------- src/index.js | 2 ++ 2 files changed, 43 insertions(+), 38 deletions(-) diff --git a/src/DBSCAN/index.js b/src/DBSCAN/index.js index 436a3ad48..cf474c261 100644 --- a/src/DBSCAN/index.js +++ b/src/DBSCAN/index.js @@ -8,7 +8,7 @@ DBSCAN Algorithm (with Euclidian distance). Influenced By jDBSCAN */ -import * as tf from "@tensorflow/tfjs-node"; +import * as tf from '@tensorflow/tfjs'; import callCallback from '../utils/callcallback'; /** @@ -39,6 +39,11 @@ async function loadDataset(inputData) { return dataFlat; } +const DEFAULTS = { + 'eps': 50, + 'minPts': 3, +}; + class DBSCAN { /** @@ -57,7 +62,7 @@ class DBSCAN { eps: options.eps || DEFAULTS.eps, minPts: options.minPts || DEFAULTS.minPts, }; - this.last_cluster_id = 0; + this.lastClusterId = 0; this.status = []; this.load(dataset).then(callback); this.ready = callCallback(this.load(dataset), callback); @@ -87,12 +92,12 @@ class DBSCAN { this.dataset.forEach((d, idx) => { if (d.status === undefined) { d.status = 0; // initlize as a noise point - let neighbours_indices = this.get_neighbours_indices(d); - if (neighbours_indices.length < this.config.minPts) { // Border or noise + const neighboursIndices = this.getNeighboursIndices(d); + if (neighboursIndices.length < this.config.minPts) { // Border or noise d.status = 0; } else { - this.increment_cluster_id() - this.extend(idx, neighbours_indices); + this.incrementClusterId() + this.extend(idx, neighboursIndices); } } }); @@ -100,77 +105,75 @@ class DBSCAN { /** * Extend cluster by running algorithm on neighbours and detect neighbours that are core points as well - * @param {number} point_index - * @param {number[]} neighbours_indices + * @param {number} pointIndex + * @param {number[]} neighboursIndices */ - extend(t_point_idx, neighbours_indices) { - this.dataset[t_point_idx].clusterid = this.get_cluster_id(); - this.dataset[t_point_idx].status = this.dataset[t_point_idx].clusterid; - for (let i = 0; i < neighbours_indices.length; i++) { - const curr_point_idx = neighbours_indices[i]; - - if (this.dataset[curr_point_idx].status === undefined) { - this.dataset[curr_point_idx].status = 0; - let curr_neighbours = this.get_neighbours_indices( - this.dataset[curr_point_idx] + extend(pointIndex, neighboursIndices) { + this.dataset[pointIndex].clusterid = this.getClusterId(); + this.dataset[pointIndex].status = this.dataset[pointIndex].clusterid; + neighboursIndices.forEach(neighbourIndex=>{ + if (this.dataset[neighbourIndex].status === undefined) { // Status unknown intialize as noise + this.dataset[neighbourIndex].status = 0; + const currNeighbours = this.getNeighboursIndices( // Neighbours of this point + this.dataset[neighbourIndex] ); - let curr_num_neighbours = curr_neighbours.length; + const currNumNeighbours = currNeighbours.length; - if (curr_num_neighbours >= this.config.minPts) { - this.extend(curr_point_idx, curr_neighbours); + if (currNumNeighbours >= this.config.minPts) {// If Neighbours are above minimum we go further and add this and potential neighbours to clusterId + this.extend(neighbourIndex, currNeighbours); } } - - if (this.dataset[curr_point_idx].status < 1) { - this.dataset[curr_point_idx].status = this.dataset[ - t_point_idx + if (this.dataset[neighbourIndex].status < 1) { + this.dataset[neighbourIndex].status = this.dataset[ + pointIndex ].clusterid; - this.dataset[curr_point_idx].clusterid = this.dataset[ - t_point_idx + this.dataset[neighbourIndex].clusterid = this.dataset[ + pointIndex ].clusterid; } - } + }) } /** * Return last generated cluster id */ - get_cluster_id() { - return this.last_cluster_id; + getClusterId() { + return this.lastClusterId; } /** * increment cluster id */ - increment_cluster_id() { - this.last_cluster_id++ + incrementClusterId() { + this.lastClusterId+=1 } /** * Find closest neighbours to each observation. */ - get_neighbours_indices(t_point) { + getNeighboursIndices(point) { try { - let neighbours = tf.tidy(() => { + const neighbours = tf.tidy(() => { const { values, indices } = tf - .squaredDifference(t_point.tensor, this.dataTensor) + .squaredDifference(point.tensor, this.dataTensor) .sum(1) .sqrt() .topk(this.dataTensor.shape[0], true) return tf .stack([values.asType("float32"), indices.asType("float32")], 1) .arraySync() - .filter((v, idx) => { + .filter((v) => { return v[0] <= this.config.eps; }) - .reduce((prev, cur, idx, res) => { + .reduce((prev, cur) => { prev.push(cur[1]); return prev; }, []); }); - return neighbours; + return neighbours || []; } catch (error) { console.log(`error ${error}`); } + return [] } } diff --git a/src/index.js b/src/index.js index e131231ae..3fdeb9bf7 100644 --- a/src/index.js +++ b/src/index.js @@ -29,6 +29,7 @@ import bodyPix from "./BodyPix"; import neuralNetwork from "./NeuralNetwork"; import faceApi from "./FaceApi"; import kmeans from "./KMeans"; +import dbscan from "./DBSCAN"; import cartoon from "./CartoonGAN"; import universalSentenceEncoder from "./UniversalSentenceEncoder"; import facemesh from "./Facemesh"; @@ -44,6 +45,7 @@ const withPreload = { featureExtractor, imageClassifier, kmeans, + dbscan, soundClassifier, pitchDetection, pix2pix, From 1ecd8315920b4855d1cbd3846e9f8d6d129df044 Mon Sep 17 00:00:00 2001 From: asvsfs Date: Thu, 6 Aug 2020 22:43:42 +0430 Subject: [PATCH 04/49] d3 example added --- .../data/gaussian2d_1.55clusters.csv} | 2 +- .../data/gaussian2d_1.56clusters.csv} | 2 +- .../data/gaussian2d_2clusters.csv | 2 +- .../data/gaussian2d_circleclusters.csv | 2 +- .../data/gaussian2d_moonclusters.csv | 2 +- examples/d3/DBSCAN/DBSCAN_Cluster/index.html | 22 + examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js | 112 + examples/dbscans/data/data.csv | 3001 ----------------- examples/examples.json | 2 +- src/DBSCAN/index_test.js | 6 +- 10 files changed, 143 insertions(+), 3010 deletions(-) rename examples/d3/{KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_3clusters.csv => DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.55clusters.csv} (99%) rename examples/d3/{KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_4clusters.csv => DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.56clusters.csv} (99%) rename examples/d3/{KMeans/KMeans_GaussianClusterDemo => DBSCAN/DBSCAN_Cluster}/data/gaussian2d_2clusters.csv (99%) rename examples/d3/{KMeans/KMeans_GaussianClusterDemo => DBSCAN/DBSCAN_Cluster}/data/gaussian2d_circleclusters.csv (99%) rename examples/d3/{KMeans/KMeans_GaussianClusterDemo => DBSCAN/DBSCAN_Cluster}/data/gaussian2d_moonclusters.csv (99%) create mode 100644 examples/d3/DBSCAN/DBSCAN_Cluster/index.html create mode 100644 examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js delete mode 100644 examples/dbscans/data/data.csv diff --git a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_3clusters.csv b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.55clusters.csv similarity index 99% rename from examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_3clusters.csv rename to examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.55clusters.csv index 3976c0e52..072b7adac 100644 --- a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_3clusters.csv +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.55clusters.csv @@ -1,4 +1,4 @@ -x1,x2 +x,y -7.849704268160314,-8.674808581953744 -8.69664575596503,-7.692212927859845 -1.0359915243020554,6.827713353515913 diff --git a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_4clusters.csv b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.56clusters.csv similarity index 99% rename from examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_4clusters.csv rename to examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.56clusters.csv index ae1b83fa1..789ee683f 100644 --- a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_4clusters.csv +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.56clusters.csv @@ -1,4 +1,4 @@ -x1,x2 +x,y -10.718663580210745,9.900472871349784 -7.9399489058067685,10.718096194668659 -9.199206305612545,6.923022960440686 diff --git a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_2clusters.csv b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_2clusters.csv similarity index 99% rename from examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_2clusters.csv rename to examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_2clusters.csv index 9abaa0cd6..d25fe19cf 100644 --- a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_2clusters.csv +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_2clusters.csv @@ -1,4 +1,4 @@ -x1,x2 +x,y 2.498895550686414,1.1683342316471301 5.073222450036444,0.8623713271387572 4.672790880324094,2.6418773621498803 diff --git a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_circleclusters.csv b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_circleclusters.csv similarity index 99% rename from examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_circleclusters.csv rename to examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_circleclusters.csv index efbf5fb70..e22dddb59 100644 --- a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_circleclusters.csv +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_circleclusters.csv @@ -1,4 +1,4 @@ -x1,x2 +x,y -0.9914878645939103,0.12004373871846165 -0.8064234011393798,-0.5891152116668836 -0.4265373027932866,-0.6749570357883385 diff --git a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_moonclusters.csv b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_moonclusters.csv similarity index 99% rename from examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_moonclusters.csv rename to examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_moonclusters.csv index ad01d28a1..32dc2344d 100644 --- a/examples/d3/KMeans/KMeans_GaussianClusterDemo/data/gaussian2d_moonclusters.csv +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_moonclusters.csv @@ -1,4 +1,4 @@ -x1,x2 +x,y 2.001164955520126,0.43029947571735944 -0.6744557747817002,0.7365153394030783 0.13616835175111489,1.0001429333017973 diff --git a/examples/d3/DBSCAN/DBSCAN_Cluster/index.html b/examples/d3/DBSCAN/DBSCAN_Cluster/index.html new file mode 100644 index 000000000..876aa1575 --- /dev/null +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/index.html @@ -0,0 +1,22 @@ + + + ml5.js DBSCAN example + + + + +
+

DBSCAN Example

+

DBSCAN is a density-based clustering non-parametric algorithm: given a set of points in some space, it groups together points that are closely packed together (points with many nearby neighbors), + marking as outliers points that lie alone in low-density regions (whose nearest neighbors are too far away). + DBSCAN is one of the most common clustering algorithms and also most cited in scientific literature. +

+
+ +
+
+
+
+ + + \ No newline at end of file diff --git a/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js b/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js new file mode 100644 index 000000000..294100183 --- /dev/null +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js @@ -0,0 +1,112 @@ +let dbscanModel; +const width = 640; +const height = 480; +const colDict = { + 0: 'skyblue', + 1: 'coral', + 2: 'olive', + 3: 'tan', + 4: 'grey' +} + +// ----- Initialize the example: ------ // +function init() { + // make all those nice buttons + createButtons(); + // start with 3 cluster + make(1.55); +} +init(); + +// STEP 1: +// create all the buttons +function createButtons() { + addClusterButton(1.55); + addClusterButton(1.56); + addClusterButton(2); + addClusterButton('circle'); + addClusterButton('moon'); +} + +// STEP 2: +// create the model +function make(eps) { + const options = { + 'eps': eps, + 'minPts': 3, + }; + // if moon or circle data, set the options to 2 clusters + // could also be a 1-liner: options.k = (eps === 'moon' || eps === 'circle') ? 2: options.k; + if(eps === 'moon' ){ + options.eps = 0.1; + }else if( eps === 'circle'){ + options.eps = 0.16; + } + console.log(eps, options.eps); + + + // get the path to the data in our data folder dynamically + const dataPath = `data/gaussian2d_${eps}clusters.csv` + // create a new dbscan clustering each time on make() + dbscanModel = ml5.dbscan(dataPath, options, modelReady); + +} + +// Step 3: +// when the model is ready, make the chart +function modelReady() { + console.log(dbscanModel.dataset) + makeChart() +} + +// Step 4: +// use the fancy d3 to make magic +function makeChart() { + const dataset = dbscanModel.dataset; + // clear the chart each time + // less efficient, but simple + d3.select('svg').remove(); + + // reappend the svg to the chart area + const svg = d3.select('#chart').append('svg') + .attr('width', width) + .attr('height', height); + + // d[0] is for the x value in the array + const xScale = d3.scaleLinear() + .domain(d3.extent(dataset, d => d[0])) + .range([10, width - 100]); + + // d[1] is for the y value in the array + const yScale = d3.scaleLinear() + .domain(d3.extent(dataset, d => d[1])) + .range([height - 50, 20]); + + svg.selectAll('circle').data(dataset) + .enter().append('circle') + .attr('cx', d => xScale(d[0])) + .attr('cy', d => yScale(d[1])) + .attr('r', 6) + .attr('fill', 'black') + + d3.select('svg').selectAll('circle') + .transition() + .attr('fill', (d, i) => colDict[dataset[i].clusterid]); + +} + +// adds the buttons for the respective cluster data +// we could also use d3.append() and d3.select() here :) +function addClusterButton(eps,minPts=3) { + const btn = document.createElement("BUTTON"); + btn.innerText = `cluster: ${eps} & minPts: ${minPts}` + + btn.addEventListener('click', function (e) { + make(eps); + }); + + document.querySelector('#buttons').appendChild(btn); + + return btn; +} + diff --git a/examples/dbscans/data/data.csv b/examples/dbscans/data/data.csv 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\ No newline at end of file diff --git a/src/DBSCAN/index_test.js b/src/DBSCAN/index_test.js index a4ee4b176..dd2508719 100644 --- a/src/DBSCAN/index_test.js +++ b/src/DBSCAN/index_test.js @@ -13,7 +13,7 @@ const DBSCAN_DEFAULTS = { describe("DBSCAN", () => { let dbscanModel; const dataurl = - "https://raw.githubusercontent.com/asvsfs/ml5-library/development/examples/dbscan/data/data.csv"; + "https://raw.githubusercontent.com/asvsfs/ml5-library/dbscan/examples/dbscans/data/data.csv"; beforeAll(async () => { jasmine.DEFAULT_TIMEOUT_INTERVAL = 10000; @@ -22,8 +22,8 @@ describe("DBSCAN", () => { }); it("Should create dbscan with all the defaults", async () => { - expect(dbscanModel.config.eps).toBe(DBSCAN_DEFAULTS.k); - expect(dbscanModel.config.minPts).toBe(DBSCAN_DEFAULTS.maxIter); + expect(dbscanModel.config.eps).toBe(DBSCAN_DEFAULTS.eps); + expect(dbscanModel.config.minPts).toBe(DBSCAN_DEFAULTS.minPts); }); it("dbscanModel dataset : Should have length 3000", async () => { From 8620147cee7a7e738102afa90d973826ef82aa33 Mon Sep 17 00:00:00 2001 From: asvsfs Date: Thu, 6 Aug 2020 22:45:25 +0430 Subject: [PATCH 05/49] corrected comments --- examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js b/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js index 294100183..9d3610b2f 100644 --- a/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js @@ -35,8 +35,7 @@ function make(eps) { 'eps': eps, 'minPts': 3, }; - // if moon or circle data, set the options to 2 clusters - // could also be a 1-liner: options.k = (eps === 'moon' || eps === 'circle') ? 2: options.k; + // if moon or circle data, set the options to 0.1 and 0.16 eps if(eps === 'moon' ){ options.eps = 0.1; }else if( eps === 'circle'){ From 6b5c15b8a607695445f58b72e98143c773e742b5 Mon Sep 17 00:00:00 2001 From: asvsfs Date: Thu, 6 Aug 2020 22:58:36 +0430 Subject: [PATCH 06/49] corrected test with new datasets --- src/DBSCAN/index_test.js | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/DBSCAN/index_test.js b/src/DBSCAN/index_test.js index dd2508719..7fa1e0079 100644 --- a/src/DBSCAN/index_test.js +++ b/src/DBSCAN/index_test.js @@ -13,7 +13,7 @@ const DBSCAN_DEFAULTS = { describe("DBSCAN", () => { let dbscanModel; const dataurl = - "https://raw.githubusercontent.com/asvsfs/ml5-library/dbscan/examples/dbscans/data/data.csv"; + "https://raw.githubusercontent.com/asvsfs/ml5-library/dbscan/examples/d3/DBSCAN/DBSCAN_Cluster/data/gaussian2d_1.55clusters.csv"; beforeAll(async () => { jasmine.DEFAULT_TIMEOUT_INTERVAL = 10000; @@ -26,8 +26,8 @@ describe("DBSCAN", () => { expect(dbscanModel.config.minPts).toBe(DBSCAN_DEFAULTS.minPts); }); - it("dbscanModel dataset : Should have length 3000", async () => { + it("dbscanModel dataset : Should have length 300", async () => { // await kmeansModel.load(dataurl) - expect(dbscanModel.dataset.length).toBe(3000); + expect(dbscanModel.dataset.length).toBe(300); }); }); From 2ec61c6d6e858255bf6d5ccfe3ff2eaefedfa66a Mon Sep 17 00:00:00 2001 From: asvsfs Date: Fri, 28 Aug 2020 11:21:40 +0430 Subject: [PATCH 07/49] some minor changed , and removed duplicated load in dbscan init --- examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js | 84 +++++++++++---------- src/DBSCAN/index.js | 67 ++++++++-------- 2 files changed, 76 insertions(+), 75 deletions(-) diff --git a/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js b/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js index 9d3610b2f..9529ff098 100644 --- a/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js +++ b/examples/d3/DBSCAN/DBSCAN_Cluster/sketch.js @@ -2,12 +2,12 @@ let dbscanModel; const width = 640; const height = 480; const colDict = { - 0: 'skyblue', - 1: 'coral', - 2: 'olive', - 3: 'tan', - 4: 'grey' -} + 0: "skyblue", + 1: "coral", + 2: "olive", + 3: "tan", + 4: "grey", +}; // ----- Initialize the example: ------ // function init() { @@ -24,88 +24,92 @@ function createButtons() { addClusterButton(1.55); addClusterButton(1.56); addClusterButton(2); - addClusterButton('circle'); - addClusterButton('moon'); + addClusterButton("circle"); + addClusterButton("moon"); } // STEP 2: // create the model function make(eps) { const options = { - 'eps': eps, - 'minPts': 3, + eps: eps, + minPts: 3, }; // if moon or circle data, set the options to 0.1 and 0.16 eps - if(eps === 'moon' ){ + if (eps === "moon") { options.eps = 0.1; - }else if( eps === 'circle'){ + } else if (eps === "circle") { options.eps = 0.16; } console.log(eps, options.eps); - // get the path to the data in our data folder dynamically - const dataPath = `data/gaussian2d_${eps}clusters.csv` + const dataPath = `data/gaussian2d_${eps}clusters.csv`; // create a new dbscan clustering each time on make() dbscanModel = ml5.dbscan(dataPath, options, modelReady); - } // Step 3: // when the model is ready, make the chart function modelReady() { - console.log(dbscanModel.dataset) - makeChart() + console.log(dbscanModel.dataset); + makeChart(); } -// Step 4: +// Step 4: // use the fancy d3 to make magic function makeChart() { - const dataset = dbscanModel.dataset; + const { dataset } = dbscanModel; // clear the chart each time // less efficient, but simple - d3.select('svg').remove(); + d3.select("svg").remove(); // reappend the svg to the chart area - const svg = d3.select('#chart').append('svg') - .attr('width', width) - .attr('height', height); + const svg = d3 + .select("#chart") + .append("svg") + .attr("width", width) + .attr("height", height); // d[0] is for the x value in the array - const xScale = d3.scaleLinear() + const xScale = d3 + .scaleLinear() .domain(d3.extent(dataset, d => d[0])) .range([10, width - 100]); // d[1] is for the y value in the array - const yScale = d3.scaleLinear() + const yScale = d3 + .scaleLinear() .domain(d3.extent(dataset, d => d[1])) .range([height - 50, 20]); - svg.selectAll('circle').data(dataset) - .enter().append('circle') - .attr('cx', d => xScale(d[0])) - .attr('cy', d => yScale(d[1])) - .attr('r', 6) - .attr('fill', 'black') - - d3.select('svg').selectAll('circle') + svg + .selectAll("circle") + .data(dataset) + .enter() + .append("circle") + .attr("cx", d => xScale(d[0])) + .attr("cy", d => yScale(d[1])) + .attr("r", 6) + .attr("fill", "black"); + + d3.select("svg") + .selectAll("circle") .transition() - .attr('fill', (d, i) => colDict[dataset[i].clusterid]); - + .attr("fill", (d, i) => colDict[dataset[i].clusterid]); } // adds the buttons for the respective cluster data // we could also use d3.append() and d3.select() here :) -function addClusterButton(eps,minPts=3) { +function addClusterButton(eps, minPts = 3) { const btn = document.createElement("BUTTON"); - btn.innerText = `cluster: ${eps} & minPts: ${minPts}` + btn.innerText = `cluster: ${eps} & minPts: ${minPts}`; - btn.addEventListener('click', function (e) { + btn.addEventListener("click", function(e) { make(eps); }); - document.querySelector('#buttons').appendChild(btn); + document.querySelector("#buttons").appendChild(btn); return btn; } - diff --git a/src/DBSCAN/index.js b/src/DBSCAN/index.js index cf474c261..af99840cc 100644 --- a/src/DBSCAN/index.js +++ b/src/DBSCAN/index.js @@ -8,8 +8,8 @@ DBSCAN Algorithm (with Euclidian distance). Influenced By jDBSCAN */ -import * as tf from '@tensorflow/tfjs'; -import callCallback from '../utils/callcallback'; +import * as tf from "@tensorflow/tfjs"; +import callCallback from "../utils/callcallback"; /** * Read in a csv file from a path to its location. @@ -33,27 +33,26 @@ async function loadDataset(inputData) { } else { data = inputData; } - const dataFlat = data.map((d) => { + const dataFlat = data.map(d => { return Object.values(d); }); return dataFlat; } const DEFAULTS = { - 'eps': 50, - 'minPts': 3, + eps: 50, + minPts: 3, }; class DBSCAN { - /** * Create a DBSCAN. * @param {String || array || object} dataset - The dataset to cluster. in x, y format => [{x:1,y:2}] * @param {options} options - An object describing a model's parameters: * - eps: Minimum distance between neighbours * - minPts: Minimum number of neighbours to count as a core point - * @param {function} callback - Optional. A callback to be called once - * the model has loaded. If no callback is provided, it will return a + * @param {function} callback - Optional. A callback to be called once + * the model has loaded. If no callback is provided, it will return a * promise that will be resolved once the model has loaded. */ @@ -64,19 +63,18 @@ class DBSCAN { }; this.lastClusterId = 0; this.status = []; - this.load(dataset).then(callback); this.ready = callCallback(this.load(dataset), callback); } /** * Load dataset, and run model. - * @param {string || array || object} dataset + * @param {string || array || object} dataset */ async load(dataset) { this.dataset = await loadDataset(dataset); tf.tidy(() => { this.dataTensor = tf.tensor2d(this.dataset); - this.dataset.forEach((d) => { + this.dataset.forEach(d => { const tensors = tf.tensor1d(Object.values(d)); d.tensor = tensors; }); @@ -85,7 +83,7 @@ class DBSCAN { return this; } - /** + /** * Run DBSCAN algorithm. */ fit() { @@ -93,45 +91,45 @@ class DBSCAN { if (d.status === undefined) { d.status = 0; // initlize as a noise point const neighboursIndices = this.getNeighboursIndices(d); - if (neighboursIndices.length < this.config.minPts) { // Border or noise + if (neighboursIndices.length < this.config.minPts) { + // Border or noise d.status = 0; } else { - this.incrementClusterId() + this.incrementClusterId(); this.extend(idx, neighboursIndices); } } }); } - + /** * Extend cluster by running algorithm on neighbours and detect neighbours that are core points as well - * @param {number} pointIndex + * @param {number} pointIndex * @param {number[]} neighboursIndices - */ + */ extend(pointIndex, neighboursIndices) { this.dataset[pointIndex].clusterid = this.getClusterId(); this.dataset[pointIndex].status = this.dataset[pointIndex].clusterid; - neighboursIndices.forEach(neighbourIndex=>{ - if (this.dataset[neighbourIndex].status === undefined) { // Status unknown intialize as noise + neighboursIndices.forEach(neighbourIndex => { + if (this.dataset[neighbourIndex].status === undefined) { + // Status unknown intialize as noise this.dataset[neighbourIndex].status = 0; - const currNeighbours = this.getNeighboursIndices( // Neighbours of this point - this.dataset[neighbourIndex] + const currNeighbours = this.getNeighboursIndices( + // Neighbours of this point + this.dataset[neighbourIndex], ); const currNumNeighbours = currNeighbours.length; - if (currNumNeighbours >= this.config.minPts) {// If Neighbours are above minimum we go further and add this and potential neighbours to clusterId + if (currNumNeighbours >= this.config.minPts) { + // If Neighbours are above minimum we go further and add this and potential neighbours to clusterId this.extend(neighbourIndex, currNeighbours); } } if (this.dataset[neighbourIndex].status < 1) { - this.dataset[neighbourIndex].status = this.dataset[ - pointIndex - ].clusterid; - this.dataset[neighbourIndex].clusterid = this.dataset[ - pointIndex - ].clusterid; + this.dataset[neighbourIndex].status = this.dataset[pointIndex].clusterid; + this.dataset[neighbourIndex].clusterid = this.dataset[pointIndex].clusterid; } - }) + }); } /** @@ -144,7 +142,7 @@ class DBSCAN { * increment cluster id */ incrementClusterId() { - this.lastClusterId+=1 + this.lastClusterId += 1; } /** @@ -157,11 +155,11 @@ class DBSCAN { .squaredDifference(point.tensor, this.dataTensor) .sum(1) .sqrt() - .topk(this.dataTensor.shape[0], true) + .topk(this.dataTensor.shape[0], true); return tf .stack([values.asType("float32"), indices.asType("float32")], 1) .arraySync() - .filter((v) => { + .filter(v => { return v[0] <= this.config.eps; }) .reduce((prev, cur) => { @@ -173,11 +171,10 @@ class DBSCAN { } catch (error) { console.log(`error ${error}`); } - return [] + return []; } } -const dbscan = (dataset, options, callback) => - new DBSCAN(dataset, options, callback); +const dbscan = (dataset, options, callback) => new DBSCAN(dataset, options, callback); export default dbscan; From d171ff45d583272987d1558e2b863e919402e196 Mon Sep 17 00:00:00 2001 From: shiffman Date: Sun, 20 Sep 2020 20:17:13 -0400 Subject: [PATCH 08/49] poseNet single image function --- .../PoseNet/PoseNet_image_single/sketch.js | 79 +++++++------------ 1 file changed, 27 insertions(+), 52 deletions(-) diff --git a/examples/p5js/PoseNet/PoseNet_image_single/sketch.js b/examples/p5js/PoseNet/PoseNet_image_single/sketch.js index 1a896b22f..ed79b3408 100644 --- a/examples/p5js/PoseNet/PoseNet_image_single/sketch.js +++ b/examples/p5js/PoseNet/PoseNet_image_single/sketch.js @@ -1,66 +1,41 @@ let img; let poseNet; -let poses = []; -function setup() { - createCanvas(640, 360); - - // create an image using the p5 dom library - // call modelReady() when it is loaded - img = createImg("data/runner.jpg", imageReady); - // set the image size to the size of the canvas - img.size(width, height); - - img.hide(); // hide the image in the browser - frameRate(1); // set the frameRate to 1 since we don't need it to be running quickly in this case +function preload() { + // load an image for pose detection + img = loadImage('data/runner.jpg'); } -// when the image is ready, then load up poseNet -function imageReady() { - // set some options - const options = { - minConfidence: 0.1, - inputResolution: { width, height }, - }; - - // assign poseNet - poseNet = ml5.poseNet(modelReady, options); - // This sets up an event that listens to 'pose' events - poseNet.on("pose", function(results) { - poses = results; - }); +function setup() { + createCanvas(640, 360); + image(img, 0, 0); + poseNet = ml5.poseNet(modelReady); } // when poseNet is ready, do the detection function modelReady() { - select("#status").html("Model Loaded"); - + select('#status').html('Model Loaded'); + // If/When a pose is detected, poseNet.on('pose', ...) will be listening for the detection results + poseNet.on('pose', function (poses) { + if (poses.length > 0) { + drawSkeleton(poses); + drawKeypoints(poses); + } + }); // When the model is ready, run the singlePose() function... - // If/When a pose is detected, poseNet.on('pose', ...) will be listening for the detection results - // in the draw() loop, if there are any poses, then carry out the draw commands poseNet.singlePose(img); } -// draw() will not show anything until poses are found -function draw() { - if (poses.length > 0) { - image(img, 0, 0, width, height); - drawSkeleton(poses); - drawKeypoints(poses); - noLoop(); // stop looping when the poses are estimated - } -} - // The following comes from https://ml5js.org/docs/posenet-webcam // A function to draw ellipses over the detected keypoints -function drawKeypoints() { +function drawKeypoints(poses) { // Loop through all the poses detected - for (let i = 0; i < poses.length; i += 1) { + for (let i = 0; i < poses.length; i++) { // For each pose detected, loop through all the keypoints - const pose = poses[i].pose; - for (let j = 0; j < pose.keypoints.length; j += 1) { + let pose = poses[i].pose; + for (let j = 0; j < pose.keypoints.length; j++) { // A keypoint is an object describing a body part (like rightArm or leftShoulder) - const keypoint = pose.keypoints[j]; + let keypoint = pose.keypoints[j]; // Only draw an ellipse is the pose probability is bigger than 0.2 if (keypoint.score > 0.2) { fill(255); @@ -73,17 +48,17 @@ function drawKeypoints() { } // A function to draw the skeletons -function drawSkeleton() { +function drawSkeleton(poses) { // Loop through all the skeletons detected - for (let i = 0; i < poses.length; i += 1) { - const skeleton = poses[i].skeleton; + for (let i = 0; i < poses.length; i++) { + let skeleton = poses[i].skeleton; // For every skeleton, loop through all body connections - for (let j = 0; j < skeleton.length; j += 1) { - const partA = skeleton[j][0]; - const partB = skeleton[j][1]; + for (let j = 0; j < skeleton.length; j++) { + let partA = skeleton[j][0]; + let partB = skeleton[j][1]; stroke(255); strokeWeight(1); line(partA.position.x, partA.position.y, partB.position.x, partB.position.y); } } -} +} \ No newline at end of file From 7d77fa63b3583fc9fa583d07811e080059d77d37 Mon Sep 17 00:00:00 2001 From: Mudasar-Makandar <46401916+Mudasar-Makandar@users.noreply.github.com> Date: Tue, 23 Mar 2021 12:41:11 +0530 Subject: [PATCH 09/49] Word2vec.nearestFromSet() is always null output Word2vec.nearestFromSet() is giving always null output. Reason: !miniModel.length is always true because miniModel is object and length attribute is undefined. --- src/Word2vec/index.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/Word2vec/index.js b/src/Word2vec/index.js index 6ecbbc070..fd868b7ae 100644 --- a/src/Word2vec/index.js +++ b/src/Word2vec/index.js @@ -127,7 +127,7 @@ class Word2Vec { }); // If none of the words in the set are found, also bail out - if (!miniModel.length) { + if (!Object.Keys(miniModel).length) { if(callback) callback(undefined, null); return null; } From 5082173198bc8dca9683fd342d399a673ec28267 Mon Sep 17 00:00:00 2001 From: Mudasar-Makandar <46401916+Mudasar-Makandar@users.noreply.github.com> Date: Sat, 17 Apr 2021 10:40:06 +0530 Subject: [PATCH 10/49] resolve typo, Object.Keys --> Object.keys --- src/Word2vec/index.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/Word2vec/index.js b/src/Word2vec/index.js index fd868b7ae..0052d9dd6 100644 --- a/src/Word2vec/index.js +++ b/src/Word2vec/index.js @@ -127,7 +127,7 @@ class Word2Vec { }); // If none of the words in the set are found, also bail out - if (!Object.Keys(miniModel).length) { + if (!Object.keys(miniModel).length) { if(callback) callback(undefined, null); return null; } From 4b0f6c500fc6c5f3666d794c1a86343fa56fc3e4 Mon Sep 17 00:00:00 2001 From: Tom Saeger Date: Wed, 3 Nov 2021 16:15:38 +0100 Subject: [PATCH 11/49] disbaled p5 web editor examples --- docs/reference/charrnn.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/docs/reference/charrnn.md b/docs/reference/charrnn.md index 6c3822303..f072ee74a 100644 --- a/docs/reference/charrnn.md +++ b/docs/reference/charrnn.md @@ -158,10 +158,11 @@ charrnn.reset(); * [CharRNN_Text_Stateful](https://github.com/ml5js/ml5-library/tree/main/examples/p5js/CharRNN/CharRNN_Text_Stateful) **p5 web editor** - -* [CharRNN_Interactive](https://editor.p5js.org/ml5/sketches/CharRNN_Interactive) +Please be advised, that due to an incompatibility of the p5 web-editor and the weights that are used in this example, this example does not work in the p5 we-editor. +Please use the p5.js example locally. Learn more about how to run examples locally [here.](https://github.com/ml5js/ml5-library/blob/main/examples/README.md#setup) + **plain javascript** * [CharRNN_Interactive](https://github.com/ml5js/ml5-library/tree/main/examples/javascript/CharRNN/CharRNN_Interactive) From 8795d4840011c24a454b1ce7b5d6e3bb1d38e41f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tom-Lucas=20S=C3=A4ger?= <33449313+tlsaeger@users.noreply.github.com> Date: Wed, 3 Nov 2021 16:24:00 +0100 Subject: [PATCH 12/49] Update charrnn.md added a line break --- docs/reference/charrnn.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/reference/charrnn.md b/docs/reference/charrnn.md index f072ee74a..5f560ef89 100644 --- a/docs/reference/charrnn.md +++ b/docs/reference/charrnn.md @@ -158,6 +158,7 @@ charrnn.reset(); * [CharRNN_Text_Stateful](https://github.com/ml5js/ml5-library/tree/main/examples/p5js/CharRNN/CharRNN_Text_Stateful) **p5 web editor** + Please be advised, that due to an incompatibility of the p5 web-editor and the weights that are used in this example, this example does not work in the p5 we-editor. Please use the p5.js example locally. Learn more about how to run examples locally [here.](https://github.com/ml5js/ml5-library/blob/main/examples/README.md#setup) From ad1246c8b7eb23ccf096bcbe592d0baace1278e1 Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Wed, 23 Feb 2022 02:58:49 +0000 Subject: [PATCH 32/49] docs: update .all-contributorsrc [skip ci] --- .all-contributorsrc | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/.all-contributorsrc b/.all-contributorsrc index 975ca5ab5..b0e69c20b 100644 --- a/.all-contributorsrc +++ b/.all-contributorsrc @@ -1287,6 +1287,16 @@ "code", "ideas" ] + }, + { + "login": "asvsfs", + "name": "Amir", + "avatar_url": "https://avatars.githubusercontent.com/u/119840?v=4", + "profile": "https://github.com/asvsfs", + "contributions": [ + "code", + "example" + ] } ], "contributorsPerLine": 7, From 87245fb9ec5e7d1b2bb5ca868811f016b591e5a8 Mon Sep 17 00:00:00 2001 From: ml5 Date: Wed, 23 Feb 2022 03:14:16 +0000 Subject: [PATCH 33/49] bumps package, readme, and package-lock --- README.md | 8 +++++--- package.json | 2 +- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index b9d1eb166..b20a22a71 100644 --- a/README.md +++ b/README.md @@ -63,15 +63,16 @@ Before getting started with ml5.js, review our [Code of Conduct](https://github. +

-* You can use the latest version (0.10.2) by adding it to the head section of your HTML document: +* You can use the latest version (0.10.3) by adding it to the head section of your HTML document: -**v0.10.2** +**v0.10.3** - +

@@ -108,6 +109,7 @@ Before getting started with ml5.js, review our [Code of Conduct](https://github. + diff --git a/package.json b/package.json index 112cb1488..78caa1c98 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "ml5", - "version": "0.10.2", + "version": "0.10.3", "description": "A friendly machine learning library for the web.", "main": "dist/ml5.min.js", "directories": { From 792add44229a5c28eabd5920e05cd83bae95066a Mon Sep 17 00:00:00 2001 From: Linda Paiste Date: Thu, 24 Feb 2022 12:11:28 -0600 Subject: [PATCH 34/49] Modify `callCallback` to reject the returned Promise when a callback function is provided. --- src/utils/callcallback.js | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/utils/callcallback.js b/src/utils/callcallback.js index 3fd6dd42e..4085a04fc 100644 --- a/src/utils/callcallback.js +++ b/src/utils/callcallback.js @@ -4,16 +4,16 @@ // https://opensource.org/licenses/MIT export default function callCallback(promise, callback) { - if (callback) { + if (!callback) return promise; + return new Promise((resolve, reject) => { promise .then((result) => { callback(undefined, result); - return result; + resolve(result); }) .catch((error) => { callback(error); - return error; + reject(error); }); - } - return promise; + }); } From 552d16da576460de1dcecf01bc0d5970ea3bac69 Mon Sep 17 00:00:00 2001 From: Linda Paiste Date: Thu, 24 Feb 2022 20:39:48 -0600 Subject: [PATCH 35/49] Add JSDoc documentation for generic helper function `callCallback`. --- src/utils/callcallback.js | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/src/utils/callcallback.js b/src/utils/callcallback.js index 4085a04fc..a875d033e 100644 --- a/src/utils/callcallback.js +++ b/src/utils/callcallback.js @@ -3,6 +3,27 @@ // This software is released under the MIT License. // https://opensource.org/licenses/MIT + +/** + * Most ml5 methods accept a callback function which will be + * called with the arguments (error, result). + * + * Generic type T describes the type of the result. + * @template T + * @callback ML5Callback + * @param {unknown} error - any error thrown during the execution of the function. + * @param {T} [result] - the expected result, if successful. + * @return {void} - callbacks can have side effects, but should not return a value. + */ + +/** + * Generic type T describes the type of the result, ie. the value that the Promise will resolve to. + * @template T + * @param {Promise} promise - the Promise to resolve. + * @param {ML5Callback} [callback] - optional callback function to be called + * with the result or error from the resolved Promise. + * @return {Promise} - returns the underlying Promise, which may be rejected. + */ export default function callCallback(promise, callback) { if (!callback) return promise; return new Promise((resolve, reject) => { From d1caa00b0df9c5d3c2b351a2540a337107fc7d38 Mon Sep 17 00:00:00 2001 From: Linda Paiste Date: Sat, 26 Feb 2022 16:52:33 -0600 Subject: [PATCH 36/49] * Add JSDoc types to existing Video class. * Add `typeof HTMLVideoElement !== 'undefined'` check to prevent errors in Node.js environments. * Reject `loadVideo` promise if there is no video. * Check that `this.size` is a non-zero number before using it. * Set `this.videoReady` to `true` from the base class. --- src/StyleTransfer/index.js | 1 - src/utils/Video.js | 48 +++++++++++++++++++++++++++++++------- 2 files changed, 40 insertions(+), 9 deletions(-) diff --git a/src/StyleTransfer/index.js b/src/StyleTransfer/index.js index e7835094d..0473a3479 100644 --- a/src/StyleTransfer/index.js +++ b/src/StyleTransfer/index.js @@ -54,7 +54,6 @@ class StyleTransfer extends Video { async load(model) { if (this.videoElt) { await this.loadVideo(); - this.videoReady = true; } await this.loadCheckpoints(model); return this; diff --git a/src/utils/Video.js b/src/utils/Video.js index fa297017a..f8a3767f4 100644 --- a/src/utils/Video.js +++ b/src/utils/Video.js @@ -8,22 +8,51 @@ Image and Video base class */ class Video { + /** + * @property {HTMLVideoElement} [video] + */ + + /** + * @param {HTMLVideoElement | p5.Video | null | undefined} [video] - Can pass a video + * into the constructor of the model in order to run the model on every frame of the video. + * @param {number | null | undefined} [size] - The size expected by the underlying model. + * NOT the size of the current video. The size will be used to resize the current video. + */ constructor(video, size) { + /** + * @type {HTMLVideoElement | null} + */ this.videoElt = null; + /** + * @type {number | null | undefined} + */ this.size = size; + /** + * @type {boolean} + */ this.videoReady = false; - if (video instanceof HTMLVideoElement) { - this.videoElt = video; - } else if (video !== null && typeof video === 'object' && video.elt instanceof HTMLVideoElement) { - // Handle p5.js video element - this.videoElt = video.elt; + if (typeof HTMLVideoElement !== 'undefined') { + if (video instanceof HTMLVideoElement) { + this.videoElt = video; + } else if (video !== null && typeof video === 'object' && video.elt instanceof HTMLVideoElement) { + // Handle p5.js video element + this.videoElt = video.elt; + } } } + /** + * Copies the stream from the source video into a new video element. + * The copied element is set to property `this.video` and is also returned by the function. + * @returns {Promise} + */ async loadVideo() { let stream; - return new Promise((resolve) => { + return new Promise((resolve, reject) => { + if (!this.videoElt) { + reject(new Error('No video was passed to the constructor.')); + } this.video = document.createElement('video'); const sUsrAg = navigator.userAgent; if (sUsrAg.indexOf('Firefox') > -1) { @@ -32,14 +61,17 @@ class Video { stream = this.videoElt.captureStream(); } this.video.srcObject = stream; - this.video.width = this.size; - this.video.height = this.size; + if (this.size) { + this.video.width = this.size; + this.video.height = this.size; + } this.video.autoplay = true; this.video.playsinline = true; this.video.muted = true; const playPromise = this.video.play(); if (playPromise !== undefined) { playPromise.then(() => { + this.videoReady = true; resolve(this.video); }); } From 8a18de737205f5b67049d30d2300a5645c429850 Mon Sep 17 00:00:00 2001 From: joeyklee Date: Thu, 3 Mar 2022 22:23:21 -0500 Subject: [PATCH 37/49] refactor: pickup utils in tests and adds callCallback tests --- examples/examples.json | 2 +- karma.conf.js | 2 + package-lock.json | 2 +- package.json | 2 +- src/utils/callcallback_test.js | 80 ++++++++++++++++++++++++++++++++++ 5 files changed, 85 insertions(+), 3 deletions(-) create mode 100644 src/utils/callcallback_test.js diff --git a/examples/examples.json b/examples/examples.json index 07b378569..12ead0dc5 100644 --- a/examples/examples.json +++ b/examples/examples.json @@ -1 +1 @@ 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\ No newline at end of file diff --git a/karma.conf.js b/karma.conf.js index 1d952d06d..9ca2f9f27 100644 --- a/karma.conf.js +++ b/karma.conf.js @@ -11,11 +11,13 @@ module.exports = config => { frameworks: ["jasmine"], files: [ "src/index.js", + "src/utils/*_test.js", `src/${config.model ? config.model : "**"}/*_test.js`, `src/${config.model ? config.model : "**"}/**/*_test.js`, ], preprocessors: { "src/index.js": ["webpack"], + "src/utils/*.js": ["webpack"], }, webpack: { // TODO: This is duplication of the webpack.common.babel.js file, but they diff --git a/package-lock.json b/package-lock.json index 8def46925..1910c35b5 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,6 +1,6 @@ { "name": "ml5", - "version": "0.10.1", + "version": "0.10.3", "lockfileVersion": 1, "requires": true, "dependencies": { diff --git a/package.json b/package.json index 78caa1c98..f3a9a690f 100644 --- a/package.json +++ b/package.json @@ -133,4 +133,4 @@ "face-api.js": "~0.22.2", "onchange": "^6.1.0" } -} \ No newline at end of file +} diff --git a/src/utils/callcallback_test.js b/src/utils/callcallback_test.js new file mode 100644 index 000000000..df60a2b23 --- /dev/null +++ b/src/utils/callcallback_test.js @@ -0,0 +1,80 @@ +import callCallback from "./callcallback"; + +describe("callCallback", () => { + describe("if no arguments are passed", () => { + it("returns undefined", () => { + const result = callCallback(); + expect(result).toBe(undefined); + }); + }); + describe("if nothing is passed to the second argument", () => { + it("returns whatever is in the first argument if one exists", () => { + const mockArg = "yo"; + const result = callCallback(mockArg); + expect(result).toBe(mockArg); + }); + it("returns a promise if it passed as the first argument", async () => { + const mockFunction = greeting => + new Promise(resolve => { + resolve(greeting); + }); + const result = callCallback(mockFunction("yo")); + expect(result instanceof Promise).toBe(true); + expect(await callCallback(mockFunction("yo"))).toBe("yo"); + }); + }); + describe("if a promise object is passed as the first argument and a callback is passed as a second argument", () => { + describe("when the promise is successful", () => { + it("it calls the callback function with the result of the promise", async () => { + const mockFunction = greeting => + new Promise(resolve => { + resolve(greeting); + }); + + const mockCallback = (err, result) => { + return `hello ${result}`; + }; + + const mockUtils = { mockCallback }; + spyOn(mockUtils, "mockCallback").and.callThrough(); + + const result = callCallback(mockFunction("world"), mockUtils.mockCallback); + expect(result instanceof Promise).toBe(true); + + result.then(innerPromise => { + innerPromise.then(callbackResults => { + expect(mockUtils.mockCallback).toHaveBeenCalledTimes(1); + expect(callbackResults).toBe("hello world"); + }); + }); + }); + }); + describe("when the promise fails", () => { + it("it calls the callback function with the error", async () => { + const mockFunction = greeting => + new Promise(resolve => { + resolve(greeting); + }); + + const mockCallback = (err, result) => { + if (err) throw err; + return `hello ${result}`; + }; + + const mockUtils = { mockCallback, mockFunction }; + spyOn(mockUtils, "mockCallback").and.callThrough(); + spyOn(mockUtils, "mockFunction").and.returnValue(Promise.reject(new Error("error"))); + + const result = callCallback(mockFunction("world"), mockUtils.mockCallback); + expect(result instanceof Promise).toBe(true); + + result.then(innerPromise => { + innerPromise.catch(err => { + expect(mockUtils.mockCallback).toHaveBeenCalledTimes(1); + expect(mockUtils.mockCallback).toHaveBeenCalledOnceWith(err); + }); + }); + }); + }); + }); +}); From bcca70979ddb837e97e359d8e17da0f93c727243 Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Fri, 4 Mar 2022 03:42:03 +0000 Subject: [PATCH 38/49] docs: update README.md [skip ci] --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index b20a22a71..a010971e6 100644 --- a/README.md +++ b/README.md @@ -338,6 +338,7 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
Amir
💻 💡 +
lindapaiste
💻 🤔 🐛 From 4882dd79f7f68c65b1a5081a7c49b28bdfb03b0c Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Fri, 4 Mar 2022 03:42:04 +0000 Subject: [PATCH 39/49] docs: update .all-contributorsrc [skip ci] --- .all-contributorsrc | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/.all-contributorsrc b/.all-contributorsrc index b0e69c20b..ebaca5996 100644 --- a/.all-contributorsrc +++ b/.all-contributorsrc @@ -1297,6 +1297,17 @@ "code", "example" ] + }, + { + "login": "lindapaiste", + "name": "lindapaiste", + "avatar_url": "https://avatars.githubusercontent.com/u/28965286?v=4", + "profile": "http://lindapaiste.com", + "contributions": [ + "code", + "ideas", + "bug" + ] } ], "contributorsPerLine": 7, From b967557b468030a165d46c8aeda771b88f8d33f7 Mon Sep 17 00:00:00 2001 From: Linda Paiste Date: Sat, 5 Mar 2022 14:59:21 -0600 Subject: [PATCH 40/49] guard all `window` references --- src/BodyPix/index.js | 11 +++++------ src/FaceApi/index.js | 22 +++------------------- src/utils/modelLoader.js | 22 ++++++++++++++++++---- src/utils/p5Utils.js | 4 +++- 4 files changed, 29 insertions(+), 30 deletions(-) diff --git a/src/BodyPix/index.js b/src/BodyPix/index.js index 57deedc07..1433485ba 100644 --- a/src/BodyPix/index.js +++ b/src/BodyPix/index.js @@ -90,14 +90,13 @@ class BodyPix { bodyPartsSpec(colorOptions) { const result = colorOptions !== undefined || Object.keys(colorOptions).length >= 24 ? colorOptions : this.config.palette; - // Check if we're getting p5 colors, make sure they are rgb - if (p5Utils.checkP5() && result !== undefined && Object.keys(result).length >= 24) { + // Check if we're getting p5 colors, make sure they are rgb + const p5 = p5Utils.p5Instance; + if (p5 && result !== undefined && Object.keys(result).length >= 24) { // Ensure the p5Color object is an RGB array Object.keys(result).forEach(part => { - if (result[part].color instanceof window.p5.Color) { + if (result[part].color instanceof p5.Color) { result[part].color = this.p5Color2RGB(result[part].color); - } else { - result[part].color = result[part].color; } }); } @@ -452,4 +451,4 @@ const bodyPix = (videoOrOptionsOrCallback, optionsOrCallback, cb) => { return callback ? instance : instance.ready; } -export default bodyPix; \ No newline at end of file +export default bodyPix; diff --git a/src/FaceApi/index.js b/src/FaceApi/index.js index 27469c1d5..0ea10814f 100644 --- a/src/FaceApi/index.js +++ b/src/FaceApi/index.js @@ -5,6 +5,7 @@ /* eslint prefer-destructuring: ["error", {AssignmentExpression: {array: false}}] */ /* eslint no-await-in-loop: "off" */ +/* eslint class-methods-use-this: "off" */ /* * FaceApi: real-time face recognition, and landmark detection @@ -14,6 +15,7 @@ import * as tf from "@tensorflow/tfjs"; import * as faceapi from "face-api.js"; import callCallback from "../utils/callcallback"; +import modelLoader from "../utils/modelLoader"; const DEFAULTS = { withLandmarks: true, @@ -93,7 +95,7 @@ class FaceApiBase { Object.keys(this.config.MODEL_URLS).forEach(item => { if (modelOptions.includes(item)) { - this.config.MODEL_URLS[item] = this.getModelPath(this.config.MODEL_URLS[item]); + this.config.MODEL_URLS[item] = modelLoader.getModelPath(this.config.MODEL_URLS[item]); } }); @@ -354,18 +356,6 @@ class FaceApiBase { return _param !== undefined ? _param : _default; } - /** - * Checks if the given string is an absolute or relative path and returns - * the path to the modelJson - * @param {String} absoluteOrRelativeUrl - */ - getModelPath(absoluteOrRelativeUrl) { - const modelJsonPath = this.isAbsoluteURL(absoluteOrRelativeUrl) - ? absoluteOrRelativeUrl - : window.location.pathname + absoluteOrRelativeUrl; - return modelJsonPath; - } - /** * Sets the return options for .detect() or .detectSingle() in case any are given * @param {Object} faceApiOptions @@ -399,12 +389,6 @@ class FaceApiBase { }); } - /* eslint class-methods-use-this: "off" */ - isAbsoluteURL(str) { - const pattern = new RegExp("^(?:[a-z]+:)?//", "i"); - return !!pattern.test(str); - } - /** * get parts from landmarks * @param {*} result diff --git a/src/utils/modelLoader.js b/src/utils/modelLoader.js index f4fc42514..f602d07d1 100644 --- a/src/utils/modelLoader.js +++ b/src/utils/modelLoader.js @@ -1,14 +1,28 @@ +/** + * Check if the provided URL string starts with a hostname, + * such as http://, https://, etc. + * @param {string} str + * @returns {boolean} + */ function isAbsoluteURL(str) { const pattern = new RegExp('^(?:[a-z]+:)?//', 'i'); - return !!pattern.test(str); + return pattern.test(str); } +/** + * Accepts a URL that may be a complete URL, or a relative location. + * Returns an absolute URL based on the current window location. + * @param {string} absoluteOrRelativeUrl + * @returns {string} + */ function getModelPath(absoluteOrRelativeUrl) { - const modelJsonPath = isAbsoluteURL(absoluteOrRelativeUrl) ? absoluteOrRelativeUrl : window.location.pathname + absoluteOrRelativeUrl - return modelJsonPath; + if (!isAbsoluteURL(absoluteOrRelativeUrl) && typeof window !== 'undefined') { + return window.location.pathname + absoluteOrRelativeUrl; + } + return absoluteOrRelativeUrl; } export default { isAbsoluteURL, getModelPath -} \ No newline at end of file +} diff --git a/src/utils/p5Utils.js b/src/utils/p5Utils.js index 829144faf..c1a2537c9 100644 --- a/src/utils/p5Utils.js +++ b/src/utils/p5Utils.js @@ -5,7 +5,9 @@ class P5Util { constructor() { + if (typeof window !== "undefined") { this.m_p5Instance = window; + } } /** @@ -19,7 +21,7 @@ class P5Util { /** * This getter will return p5, checking first if it is in * the window and next if it is in the p5 property of this.m_p5Instance - * @returns {boolean} if it is in p5 + * @returns {boolean} if it is in p5 */ get p5Instance() { if (typeof this.m_p5Instance !== "undefined" && From 11de63f78f4539e936229a0104b48a9e5bd27738 Mon Sep 17 00:00:00 2001 From: Linda Paiste Date: Sat, 5 Mar 2022 16:54:58 -0600 Subject: [PATCH 41/49] cleanup class p5Util --- src/utils/p5Utils.js | 94 +++++++++++++++++++++++++------------------- 1 file changed, 54 insertions(+), 40 deletions(-) diff --git a/src/utils/p5Utils.js b/src/utils/p5Utils.js index c1a2537c9..4c12a363b 100644 --- a/src/utils/p5Utils.js +++ b/src/utils/p5Utils.js @@ -6,22 +6,30 @@ class P5Util { constructor() { if (typeof window !== "undefined") { + /** + * Store the window as a private property regardless of whether p5 is present. + * Can also set this property by calling method setP5Instance(). + * @property {Window | p5 | {p5: p5} | undefined} m_p5Instance + * @private + */ this.m_p5Instance = window; } } /** - * Set p5 instance globally. - * @param {Object} p5Instance + * Set p5 instance globally in order to enable p5 features throughout ml5. + * Call this function with the p5 instance when using p5 in instance mode. + * @param {p5 | {p5: p5}} p5Instance */ setP5Instance(p5Instance) { - this.m_p5Instance = p5Instance; + this.m_p5Instance = p5Instance; } /** - * This getter will return p5, checking first if it is in - * the window and next if it is in the p5 property of this.m_p5Instance - * @returns {boolean} if it is in p5 + * Dynamic getter checks if p5 is loaded and will return undefined if p5 cannot be found, + * or will return an object containing all of the global p5 properties. + * It first checks if p5 is in the window, and then if it is in the p5 property of this.m_p5Instance. + * @returns {p5 | undefined} */ get p5Instance() { if (typeof this.m_p5Instance !== "undefined" && @@ -35,75 +43,81 @@ class P5Util { /** * This function will check if the p5 is in the environment - * Either it is in the p5Instance mode OR it is in the window - * @returns {boolean} if it is in p5 + * Either it is in the p5Instance mode OR it is in the window + * @returns {boolean} if it is in p5 */ checkP5() { return !!this.p5Instance; } /** - * Convert a canvas to Blob - * @param {HTMLCanvasElement} inputCanvas - * @returns {Blob} blob object - */ + * Convert a canvas to a Blob object. + * @param {HTMLCanvasElement} inputCanvas + * @returns {Promise} + */ /* eslint class-methods-use-this: ["error", { "exceptMethods": ["getBlob"] }] */ getBlob(inputCanvas) { - return new Promise((resolve) => { + return new Promise((resolve, reject) => { inputCanvas.toBlob((blob) => { - resolve(blob); + if (blob) { + resolve(blob); + } else { + reject(new Error('Canvas could not be converted to Blob.')); + } }); }); }; /** - * Load image in async way. - * @param {String} url - */ + * Load a p5.Image from a URL in an async way. + * @param {string} url + * @return {Promise} + */ loadAsync(url) { - return new Promise((resolve) => { + return new Promise((resolve, reject) => { this.p5Instance.loadImage(url, (img) => { resolve(img); + }, () => { + reject(new Error(`Could not load image from url ${url}`)); }); }); }; /** - * convert raw bytes to blob object - * @param {Array} raws - * @param {number} x - * @param {number} y - * @returns {Blob} - */ - async rawToBlob(raws, x, y) { + * convert raw bytes to blob object + * @param {number[] | Uint8ClampedArray | ArrayLike} raws + * @param {number} width + * @param {number} height + * @returns {Promise} + */ + async rawToBlob(raws, width, height) { const arr = Array.from(raws) const canvas = document.createElement('canvas'); // Consider using offScreenCanvas when it is ready? const ctx = canvas.getContext('2d'); - canvas.width = x; - canvas.height = y; + canvas.width = width; + canvas.height = height; - const imgData = ctx.createImageData(x, y); - const { data } = imgData; + const imgData = ctx.createImageData(width, height); + const {data} = imgData; - for (let i = 0; i < x * y * 4; i += 1 ) data[i] = arr[i]; + for (let i = 0; i < width * height * 4; i += 1) data[i] = arr[i]; ctx.putImageData(imgData, 0, 0); - const blob = await this.getBlob(canvas); - return blob; + return this.getBlob(canvas); }; /** - * Conver Blob to P5.Image - * @param {Blob} blob - * @param {Object} p5Img - */ + * Convert Blob to P5.Image + * @param {Blob} blob + * Note: may want to reject instead of returning null. + * @returns {Promise} + */ async blobToP5Image(blob) { - if (this.checkP5()) { - const p5Img = await this.loadAsync(URL.createObjectURL(blob)); - return p5Img; + if (this.checkP5() && typeof URL !== "undefined") { + return this.loadAsync(URL.createObjectURL(blob)); } - return null; + return null; }; } From 0561b5abd1502d2f7619663ea44f2f866761f426 Mon Sep 17 00:00:00 2001 From: Linda Paiste Date: Sun, 6 Mar 2022 15:24:57 -0600 Subject: [PATCH 42/49] Don't call `this.predict()` unless there is a video. --- src/Facemesh/index.js | 23 +++++++++++++---------- src/Handpose/index.js | 21 +++++++++++---------- 2 files changed, 24 insertions(+), 20 deletions(-) diff --git a/src/Facemesh/index.js b/src/Facemesh/index.js index ee0c35c37..905c4bd0d 100644 --- a/src/Facemesh/index.js +++ b/src/Facemesh/index.js @@ -3,9 +3,6 @@ // This software is released under the MIT License. // https://opensource.org/licenses/MIT -/* eslint prefer-destructuring: ["error", {AssignmentExpression: {array: false}}] */ -/* eslint no-await-in-loop: "off" */ - /* * Facemesh: Facial landmark detection in the browser * Ported and integrated from all the hard work by: https://github.com/tensorflow/tfjs-models/tree/master/facemesh @@ -19,14 +16,17 @@ import callCallback from "../utils/callcallback"; class Facemesh extends EventEmitter { /** * Create Facemesh. - * @param {HTMLVideoElement} video - An HTMLVideoElement. - * @param {object} options - An object with options. - * @param {function} callback - A callback to be called when the model is ready. + * @param {HTMLVideoElement} [video] - An HTMLVideoElement. + * @param {object} [options] - An object with options. + * @param {function} [callback] - A callback to be called when the model is ready. */ constructor(video, options, callback) { super(); this.video = video; + /** + * @type {null | facemeshCore.FaceMesh} + */ this.model = null; this.modelReady = false; this.config = options; @@ -49,18 +49,21 @@ class Facemesh extends EventEmitter { }; }); } - - this.predict(); + if (this.video) { + this.predict(); + } return this; } /** - * Load the model and set it to this.model - * @return {this} the Facemesh model. + * @return {Promise} an array of predictions. */ async predict(inputOr, callback) { const input = this.getInput(inputOr); + if (!input) { + throw new Error("No input image found."); + } const { flipHorizontal } = this.config; const predictions = await this.model.estimateFaces(input, flipHorizontal); const result = predictions; diff --git a/src/Handpose/index.js b/src/Handpose/index.js index 341a08cf7..029b43d62 100644 --- a/src/Handpose/index.js +++ b/src/Handpose/index.js @@ -3,9 +3,6 @@ // This software is released under the MIT License. // https://opensource.org/licenses/MIT -/* eslint prefer-destructuring: ["error", {AssignmentExpression: {array: false}}] */ -/* eslint no-await-in-loop: "off" */ - /* * Handpose: Palm detector and hand-skeleton finger tracking in the browser * Ported and integrated from all the hard work by: https://github.com/tensorflow/tfjs-models/tree/master/handpose @@ -19,14 +16,17 @@ import callCallback from "../utils/callcallback"; class Handpose extends EventEmitter { /** * Create Handpose. - * @param {HTMLVideoElement} video - An HTMLVideoElement. - * @param {object} options - An object with options. - * @param {function} callback - A callback to be called when the model is ready. + * @param {HTMLVideoElement} [video] - An HTMLVideoElement. + * @param {object} [options] - An object with options. + * @param {function} [callback] - A callback to be called when the model is ready. */ constructor(video, options, callback) { super(); this.video = video; + /** + * @type {null|handposeCore.HandPose} + */ this.model = null; this.modelReady = false; this.config = options; @@ -50,19 +50,20 @@ class Handpose extends EventEmitter { }); } - this.predict(); + if (this.video) { + this.predict(); + } return this; } /** - * Load the model and set it to this.model - * @return {this} the Handpose model. + * @return {Promise} an array of predictions. */ async predict(inputOr, callback) { const input = this.getInput(inputOr); if (!input) { - return []; + throw new Error("No input image found."); } const { flipHorizontal } = this.config; const predictions = await this.model.estimateHands(input, flipHorizontal); From 49f8d80861b0cd975dabc21ca9af345be31dea16 Mon Sep 17 00:00:00 2001 From: ml5 Date: Mon, 7 Mar 2022 03:12:07 +0000 Subject: [PATCH 43/49] bumps package, readme, and package-lock --- README.md | 8 +++++--- package.json | 4 ++-- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index a010971e6..c52b0adb9 100644 --- a/README.md +++ b/README.md @@ -64,15 +64,16 @@ Before getting started with ml5.js, review our [Code of Conduct](https://github. +

-* You can use the latest version (0.10.3) by adding it to the head section of your HTML document: +* You can use the latest version (0.10.4) by adding it to the head section of your HTML document: -**v0.10.3** +**v0.10.4** - +

@@ -110,6 +111,7 @@ Before getting started with ml5.js, review our [Code of Conduct](https://github. + diff --git a/package.json b/package.json index f3a9a690f..9ee8d4e34 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "ml5", - "version": "0.10.3", + "version": "0.10.4", "description": "A friendly machine learning library for the web.", "main": "dist/ml5.min.js", "directories": { @@ -133,4 +133,4 @@ "face-api.js": "~0.22.2", "onchange": "^6.1.0" } -} +} \ No newline at end of file From 2503b50f2c4b4349da3f29b29f60ee7de7909d2c Mon Sep 17 00:00:00 2001 From: ml5 Date: Tue, 15 Mar 2022 00:18:43 +0000 Subject: [PATCH 44/49] bumps package, readme, and package-lock --- README.md | 8 +++++--- package.json | 2 +- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index c52b0adb9..dcdbcecbc 100644 --- a/README.md +++ b/README.md @@ -65,15 +65,16 @@ Before getting started with ml5.js, review our [Code of Conduct](https://github. +

-* You can use the latest version (0.10.4) by adding it to the head section of your HTML document: +* You can use the latest version (0.10.5) by adding it to the head section of your HTML document: -**v0.10.4** +**v0.10.5** - +

@@ -112,6 +113,7 @@ Before getting started with ml5.js, review our [Code of Conduct](https://github. + diff --git a/package.json b/package.json index 9ee8d4e34..cb6270803 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "ml5", - "version": "0.10.4", + "version": "0.10.5", "description": "A friendly machine learning library for the web.", "main": "dist/ml5.min.js", "directories": { From cb4cf2bef5568a1900246f2c51169c9c18abf38c Mon Sep 17 00:00:00 2001 From: Evan Weinberg Date: Tue, 15 Mar 2022 15:09:58 +0700 Subject: [PATCH 45/49] Update README.md Updated URLs for the getting started, reference, and FAQ pages. --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index dcdbcecbc..0b5bb7e35 100644 --- a/README.md +++ b/README.md @@ -144,11 +144,11 @@ For example: ## Resources -- [Getting Started](https://ml5js.org/getting-started/) -- [API Reference](https://ml5js.org/reference/) +- [Getting Started](https://learn.ml5js.org/#/) +- [API Reference](https://learn.ml5js.org/#/reference/index) - [Examples](https://github.com/ml5js/ml5-library/tree/main/examples) - [Community](https://ml5js.org/community) -- [FAQ](https://ml5js.org/getting-started/faq/) +- [FAQ](https://learn.ml5js.org/#/faq) ## Standalone Examples From 2d007a6d4e4e796b3e4287dfeba773ffc87b5b51 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tom-Lucas=20S=C3=A4ger?= <33449313+tlsaeger@users.noreply.github.com> Date: Fri, 18 Mar 2022 18:54:25 +0100 Subject: [PATCH 46/49] Update README.md removed # on first link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 0b5bb7e35..2a18a2e5e 100644 --- a/README.md +++ b/README.md @@ -144,7 +144,7 @@ For example: ## Resources -- [Getting Started](https://learn.ml5js.org/#/) +- [Getting Started](https://learn.ml5js.org/) - [API Reference](https://learn.ml5js.org/#/reference/index) - [Examples](https://github.com/ml5js/ml5-library/tree/main/examples) - [Community](https://ml5js.org/community) From 5ebe6b53e3ed8a505cdbd064f53c3d8ae98345de Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Fri, 18 Mar 2022 18:03:38 +0000 Subject: [PATCH 47/49] docs: update README.md [skip ci] --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index dcdbcecbc..1e1b61a33 100644 --- a/README.md +++ b/README.md @@ -343,6 +343,7 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
Amir
💻 💡
lindapaiste
💻 🤔 🐛 +
Evan Weinberg
📖 From 722389ce93a8a26ec91b2d188c02ca852597299a Mon Sep 17 00:00:00 2001 From: "allcontributors[bot]" <46447321+allcontributors[bot]@users.noreply.github.com> Date: Fri, 18 Mar 2022 18:03:39 +0000 Subject: [PATCH 48/49] docs: update .all-contributorsrc [skip ci] --- .all-contributorsrc | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/.all-contributorsrc b/.all-contributorsrc index ebaca5996..8c7d7b544 100644 --- a/.all-contributorsrc +++ b/.all-contributorsrc @@ -1308,6 +1308,15 @@ "ideas", "bug" ] + }, + { + "login": "emwdx", + "name": "Evan Weinberg", + "avatar_url": "https://avatars.githubusercontent.com/u/1531831?v=4", + "profile": "http://evanweinberg.com", + "contributions": [ + "doc" + ] } ], "contributorsPerLine": 7, From e616a57813a646da3d47887e87fc9c893da0a7eb Mon Sep 17 00:00:00 2001 From: ml5 Date: Sat, 2 Apr 2022 21:41:33 +0000 Subject: [PATCH 49/49] bumps package, readme, and package-lock --- README.md | 8 +++++--- package.json | 2 +- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 40e986959..23cb9c96e 100644 --- a/README.md +++ b/README.md @@ -66,15 +66,16 @@ Before getting started with ml5.js, review our [Code of Conduct](https://github. +

-* You can use the latest version (0.10.5) by adding it to the head section of your HTML document: +* You can use the latest version (0.10.6) by adding it to the head section of your HTML document: -**v0.10.5** +**v0.10.6** - +

@@ -114,6 +115,7 @@ Before getting started with ml5.js, review our [Code of Conduct](https://github. + diff --git a/package.json b/package.json index cb6270803..97e3452b0 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "ml5", - "version": "0.10.5", + "version": "0.10.6", "description": "A friendly machine learning library for the web.", "main": "dist/ml5.min.js", "directories": {