mirror of https://github.com/vladmandic/human
updated mobile build
Vladimir Mandic
parent
a6e7595953
commit
c47f9d68b3
20
README.md
20
README.md
|
|
@ -242,10 +242,6 @@ Note that user object and default configuration are merged using deep-merge, so
|
|||
|
||||
All configuration details can be changed in real-time!
|
||||
|
||||
Configurtion object is large, but typically you only need to modify few values:
|
||||
|
||||
- `enabled`: Choose which models to use
|
||||
- `modelPath`: Update as needed to reflect your application's relative path
|
||||
|
||||
```js
|
||||
config = {
|
||||
|
|
@ -371,6 +367,22 @@ config = {
|
|||
};
|
||||
```
|
||||
|
||||
Any user configuration and default configuration are merged using deep-merge, so you do not need to redefine entire configuration
|
||||
Configurtion object is large, but typically you only need to modify few values:
|
||||
|
||||
- `enabled`: Choose which models to use
|
||||
- `modelPath`: Update as needed to reflect your application's relative path
|
||||
|
||||
for example,
|
||||
|
||||
```js
|
||||
const myConfig = {
|
||||
backend: 'wasm',
|
||||
filter: { enabled: false },
|
||||
}
|
||||
const result = await human.detect(image, myConfig)
|
||||
```
|
||||
|
||||
<hr>
|
||||
|
||||
## Outputs
|
||||
|
|
|
|||
|
|
@ -1840,7 +1840,7 @@ var ei = we((A) => {
|
|||
throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");
|
||||
return this.tidy("backward", function() {
|
||||
var c = {};
|
||||
c[s.id] = r ?? VL(s.shape), DL(c, o, function(u) {
|
||||
c[s.id] = r != null ? r : VL(s.shape), DL(c, o, function(u) {
|
||||
return a.tidy(u);
|
||||
}, GL);
|
||||
var l = e.map(function(u) {
|
||||
|
|
@ -2882,7 +2882,7 @@ var ei = we((A) => {
|
|||
return new ES(n);
|
||||
}
|
||||
function Cm(n, t, e, r) {
|
||||
s(n), e = e ?? 0, r = r ?? 1, o(e, r);
|
||||
s(n), e = e != null ? e : 0, r = r != null ? r : 1, o(e, r);
|
||||
var i = 0, a = function(c) {
|
||||
return c.then(function(l) {
|
||||
var u = e + ++i / n.length * (r - e);
|
||||
|
|
@ -5690,7 +5690,7 @@ var ei = we((A) => {
|
|||
function p(x, L, N) {
|
||||
var I = [];
|
||||
L = L == true ? {entropy: true} : L || {};
|
||||
var C = y(g(L.entropy ? [x, b(t)] : x ?? w(), 3), I), O = new f(I), D = function() {
|
||||
var C = y(g(L.entropy ? [x, b(t)] : x != null ? x : w(), 3), I), O = new f(I), D = function() {
|
||||
for (var F = O.g(a), k = c, B = 0; F < l; )
|
||||
F = (F + B) * i, k *= i, B = O.g(1);
|
||||
for (; F >= u; )
|
||||
|
|
@ -6388,7 +6388,7 @@ var ei = we((A) => {
|
|||
return fe(this, function(g) {
|
||||
switch (g.label) {
|
||||
case 0:
|
||||
for (r = R(n, "tensor", "boolMask"), i = R(t, "mask", "boolMask", "bool"), a = e ?? 0, s = i.rank, o = r.shape, E(s > 0, function() {
|
||||
for (r = R(n, "tensor", "boolMask"), i = R(t, "mask", "boolMask", "bool"), a = e != null ? e : 0, s = i.rank, o = r.shape, E(s > 0, function() {
|
||||
return "mask cannot be scalar";
|
||||
}), Pe(o.slice(a, a + s), i.shape, "mask's shape must match the first K dimensions of tensor's shape,"), c = 1, l = a; l < a + s; l++)
|
||||
c *= o[l];
|
||||
|
|
@ -8185,7 +8185,7 @@ var ei = we((A) => {
|
|||
}
|
||||
var OR = U({avgPool3dBackprop_: RR});
|
||||
var ER = {kernelName: Nc, inputsToSave: ["x"], gradFunc: function(n, t, e) {
|
||||
var r = t[0], i = e, a = i.filterSize, s = i.strides, o = i.dilations, c = i.pad, l = i.dimRoundingMode, u = o ?? [1, 1, 1];
|
||||
var r = t[0], i = e, a = i.filterSize, s = i.strides, o = i.dilations, c = i.pad, l = i.dimRoundingMode, u = o != null ? o : [1, 1, 1];
|
||||
return {x: function() {
|
||||
return OR(n, r, a, s, u, c, l);
|
||||
}};
|
||||
|
|
@ -8352,7 +8352,7 @@ var ei = we((A) => {
|
|||
}};
|
||||
}};
|
||||
var JR = {kernelName: Pc, inputsToSave: ["x", "filter"], gradFunc: function(n, t, e) {
|
||||
var r = e, i = r.dilations, a = r.strides, s = r.pad, o = r.dimRoundingMode, c = i ?? [1, 1];
|
||||
var r = e, i = r.dilations, a = r.strides, s = r.pad, o = r.dimRoundingMode, c = i != null ? i : [1, 1];
|
||||
E(yr(c), function() {
|
||||
return "Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations " + ("'" + c + "'");
|
||||
});
|
||||
|
|
@ -8437,7 +8437,7 @@ var ei = we((A) => {
|
|||
return {a, b: s};
|
||||
}};
|
||||
var s3 = {kernelName: $c, inputsToSave: ["x", "mean", "variance", "scale"], gradFunc: function(n, t, e) {
|
||||
var r = e.varianceEpsilon, i = t[0], a = t[1], s = t[2], o = t[3], c = o ?? Le(1), l = bt(a.shape, i.shape), u = [];
|
||||
var r = e.varianceEpsilon, i = t[0], a = t[1], s = t[2], o = t[3], c = o != null ? o : Le(1), l = bt(a.shape, i.shape), u = [];
|
||||
if (a.rank === 1) {
|
||||
for (var h = 0; h < i.shape.length - 1; ++h)
|
||||
u.push(i.shape[h]);
|
||||
|
|
@ -8583,7 +8583,7 @@ var ei = we((A) => {
|
|||
}
|
||||
var x3 = U({maxPool3dBackprop_: b3});
|
||||
var L3 = {kernelName: ll, inputsToSave: ["x"], outputsToSave: [true], gradFunc: function(n, t, e) {
|
||||
var r = t, i = r[0], a = r[1], s = e, o = s.filterSize, c = s.strides, l = s.dilations, u = s.pad, h = s.dimRoundingMode, d = l ?? [1, 1, 1];
|
||||
var r = t, i = r[0], a = r[1], s = e, o = s.filterSize, c = s.strides, l = s.dilations, u = s.pad, h = s.dimRoundingMode, d = l != null ? l : [1, 1, 1];
|
||||
return {x: function() {
|
||||
return x3(n, i, a, o, c, d, u, h);
|
||||
}};
|
||||
|
|
@ -10923,7 +10923,7 @@ var l1 = we((tt) => {
|
|||
}
|
||||
var hy = "Variable", dy = function() {
|
||||
function n(t, e, r, i, a) {
|
||||
e === void 0 && (e = "float32"), r === void 0 && (r = hy), i === void 0 && (i = true), a === void 0 && (a = null), this.dtype = e ?? "float32", this.shape = t.shape, this.id = uy(), r = r ?? hy, this.originalName = $0(r), this.name = X0(this.originalName), this.trainable_ = i, this.constraint = a, this.val = v.variable(t, this.trainable_, this.name, this.dtype);
|
||||
e === void 0 && (e = "float32"), r === void 0 && (r = hy), i === void 0 && (i = true), a === void 0 && (a = null), this.dtype = e != null ? e : "float32", this.shape = t.shape, this.id = uy(), r = r != null ? r : hy, this.originalName = $0(r), this.name = X0(this.originalName), this.trainable_ = i, this.constraint = a, this.val = v.variable(t, this.trainable_, this.name, this.dtype);
|
||||
}
|
||||
return n.prototype.read = function() {
|
||||
return this.assertNotDisposed(), this.val;
|
||||
|
|
@ -14331,7 +14331,7 @@ var l1 = we((tt) => {
|
|||
var Ky = function(n) {
|
||||
Q(t, n);
|
||||
function t(e) {
|
||||
var r = n.call(this, e ?? {}) || this;
|
||||
var r = n.call(this, e != null ? e : {}) || this;
|
||||
return r.supportsMasking = true, e != null && (r.maxValue = e.maxValue), r;
|
||||
}
|
||||
return t.prototype.call = function(e, r) {
|
||||
|
|
@ -14349,7 +14349,7 @@ var l1 = we((tt) => {
|
|||
var jy = function(n) {
|
||||
Q(t, n);
|
||||
function t(e) {
|
||||
var r = n.call(this, e ?? {}) || this;
|
||||
var r = n.call(this, e != null ? e : {}) || this;
|
||||
return r.DEFAULT_ALPHA = 0.3, e == null && (e = {}), r.alpha = e.alpha == null ? r.DEFAULT_ALPHA : e.alpha, r;
|
||||
}
|
||||
return t.prototype.call = function(e, r) {
|
||||
|
|
@ -14366,7 +14366,7 @@ var l1 = we((tt) => {
|
|||
var $y = function(n) {
|
||||
Q(t, n);
|
||||
function t(e) {
|
||||
var r = n.call(this, e ?? {}) || this;
|
||||
var r = n.call(this, e != null ? e : {}) || this;
|
||||
if (r.DEFAULT_ALPHA_INITIALIZER = "zeros", e == null && (e = {}), r.supportsMasking = true, r.alphaInitializer = at(e.alphaInitializer || r.DEFAULT_ALPHA_INITIALIZER), r.alphaRegularizer = st(e.alphaRegularizer), r.alphaConstraint = It(e.alphaConstraint), e.sharedAxes == null)
|
||||
r.sharedAxes = null;
|
||||
else if (Array.isArray(e.sharedAxes))
|
||||
|
|
@ -14402,7 +14402,7 @@ var l1 = we((tt) => {
|
|||
var Xy = function(n) {
|
||||
Q(t, n);
|
||||
function t(e) {
|
||||
var r = n.call(this, e ?? {}) || this;
|
||||
var r = n.call(this, e != null ? e : {}) || this;
|
||||
if (r.DEFAULT_ALPHA = 1, e == null && (e = {}), e.alpha != null && e.alpha !== r.DEFAULT_ALPHA)
|
||||
throw new Re("Non-default alpha value (" + e.alpha + ") is not supported by the ELU layer yet.");
|
||||
return r.alpha = e.alpha == null ? r.DEFAULT_ALPHA : e.alpha, r;
|
||||
|
|
@ -14421,7 +14421,7 @@ var l1 = we((tt) => {
|
|||
var Jy = function(n) {
|
||||
Q(t, n);
|
||||
function t(e) {
|
||||
var r = n.call(this, e ?? {}) || this;
|
||||
var r = n.call(this, e != null ? e : {}) || this;
|
||||
return r.DEFAULT_THETA = 1, e == null && (e = {}), r.theta = e.theta == null ? r.DEFAULT_THETA : e.theta, r;
|
||||
}
|
||||
return t.prototype.call = function(e, r) {
|
||||
|
|
@ -14438,7 +14438,7 @@ var l1 = we((tt) => {
|
|||
var Zy = function(n) {
|
||||
Q(t, n);
|
||||
function t(e) {
|
||||
var r = n.call(this, e ?? {}) || this;
|
||||
var r = n.call(this, e != null ? e : {}) || this;
|
||||
return r.DEFAULT_AXIS = 1, e == null && (e = {}), r.softmax = new Vy().apply, r.axis = e.axis == null ? r.DEFAULT_AXIS : e.axis, r;
|
||||
}
|
||||
return t.prototype.call = function(e, r) {
|
||||
|
|
@ -15731,7 +15731,7 @@ var l1 = we((tt) => {
|
|||
var Lv = function(n) {
|
||||
Q(t, n);
|
||||
function t(e) {
|
||||
var r = n.call(this, e ?? {}) || this;
|
||||
var r = n.call(this, e != null ? e : {}) || this;
|
||||
return r.supportsMasking = true, e != null ? r.maskValue = e.maskValue == null ? 0 : e.maskValue : r.maskValue = 0, r;
|
||||
}
|
||||
return t.prototype.computeOutputShape = function(e) {
|
||||
|
|
@ -18513,7 +18513,7 @@ var I1 = we((ci) => {
|
|||
});
|
||||
}, n.prototype.findWithDefault = function(t, e) {
|
||||
var r = this.tensorMap.get(t);
|
||||
return r ?? e;
|
||||
return r != null ? r : e;
|
||||
}, n.prototype.checkKeyAndValueTensor = function(t, e) {
|
||||
if (t.dtype !== this.keyDType)
|
||||
throw new Error("Expect key dtype " + this.keyDType + ", but got " + ("" + t.dtype));
|
||||
|
|
@ -19761,7 +19761,7 @@ var q1 = we((qt) => {
|
|||
function p(x, L, N) {
|
||||
var I = [];
|
||||
L = L == true ? {entropy: true} : L || {};
|
||||
var C = y(g(L.entropy ? [x, b(t)] : x ?? w(), 3), I), O = new f(I), D = function() {
|
||||
var C = y(g(L.entropy ? [x, b(t)] : x != null ? x : w(), 3), I), O = new f(I), D = function() {
|
||||
for (var F = O.g(a), k = c, B = 0; F < l; )
|
||||
F = (F + B) * i, k *= i, B = O.g(1);
|
||||
for (; F >= u; )
|
||||
|
|
@ -21812,7 +21812,7 @@ var iw = we((fG, Uo) => {
|
|||
function d(b, x, L) {
|
||||
var N = [];
|
||||
x = x == true ? {entropy: true} : x || {};
|
||||
var I = g(m(x.entropy ? [b, w(n)] : b ?? y(), 3), N), C = new p(N), O = function() {
|
||||
var I = g(m(x.entropy ? [b, w(n)] : b != null ? b : y(), 3), N), C = new p(N), O = function() {
|
||||
for (var D = C.g(i), F = o, k = 0; D < c; )
|
||||
D = (D + k) * r, F *= r, k = C.g(1);
|
||||
for (; D >= l; )
|
||||
|
|
@ -33133,7 +33133,7 @@ var Kx = we((YV) => {
|
|||
var KV = {backend: "webgl", console: true, async: false, profile: false, deallocate: false, scoped: false, videoOptimized: true, filter: {enabled: true, width: 0, height: 0, return: true, brightness: 0, contrast: 0, sharpness: 0, blur: 0, saturation: 0, hue: 0, negative: false, sepia: false, vintage: false, kodachrome: false, technicolor: false, polaroid: false, pixelate: 0}, gesture: {enabled: true}, face: {enabled: true, detector: {modelPath: "../models/blazeface-back.json", inputSize: 256, maxFaces: 10, skipFrames: 10, minConfidence: 0.5, iouThreshold: 0.3, scoreThreshold: 0.5}, mesh: {enabled: true, modelPath: "../models/facemesh.json", inputSize: 192}, iris: {enabled: true, modelPath: "../models/iris.json", enlargeFactor: 2.3, inputSize: 64}, age: {enabled: true, modelPath: "../models/ssrnet-age-imdb.json", inputSize: 64, skipFrames: 10}, gender: {enabled: true, minConfidence: 0.8, modelPath: "../models/ssrnet-gender-imdb.json"}, emotion: {enabled: true, inputSize: 64, minConfidence: 0.5, skipFrames: 10, modelPath: "../models/emotion.json"}}, body: {enabled: true, modelPath: "../models/posenet.json", inputResolution: 257, outputStride: 16, maxDetections: 10, scoreThreshold: 0.5, nmsRadius: 20}, hand: {enabled: true, inputSize: 256, skipFrames: 10, minConfidence: 0.5, iouThreshold: 0.3, scoreThreshold: 0.5, enlargeFactor: 1.65, maxHands: 10, detector: {modelPath: "../models/handdetect.json"}, skeleton: {modelPath: "../models/handskeleton.json"}}};
|
||||
});
|
||||
var $x = we((JG, jx) => {
|
||||
jx.exports = {name: "@vladmandic/human", version: "0.7.1", description: "human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition", sideEffects: false, main: "dist/human.node.js", module: "dist/human.esm.js", browser: "dist/human.esm.js", author: "Vladimir Mandic <mandic00@live.com>", bugs: {url: "https://github.com/vladmandic/human/issues"}, homepage: "https://github.com/vladmandic/human#readme", license: "MIT", engines: {node: ">=14.0.0"}, repository: {type: "git", url: "git+https://github.com/vladmandic/human.git"}, dependencies: {}, peerDependencies: {}, devDependencies: {"@tensorflow/tfjs": "^2.7.0", "@tensorflow/tfjs-node": "^2.7.0", "@vladmandic/pilogger": "^0.2.7", dayjs: "^1.9.4", esbuild: "^0.7.22", eslint: "^7.12.1", "eslint-config-airbnb-base": "^14.2.0", "eslint-plugin-import": "^2.22.1", "eslint-plugin-json": "^2.1.2", "eslint-plugin-node": "^11.1.0", "eslint-plugin-promise": "^4.2.1", rimraf: "^3.0.2", seedrandom: "^3.0.5", "simple-git": "^2.21.0"}, scripts: {start: "node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js", lint: "eslint src/*.js demo/*.js", "build-iife": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=iife --external:fs --global-name=Human --metafile=dist/human.json --outfile=dist/human.js src/human.js", "build-esm-bundle": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js", "build-esm-nobundle": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js", "build-node": "esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js", "build-node-nobundle": "esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js", "build-demo": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js", build: "rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && npm run build-demo && ls -l dist/", update: "npm update --depth 20 --force && npm dedupe && npm prune && npm audit", changelog: "node changelog.js"}, keywords: ["tensorflowjs", "face-detection", "face-geometry", "body-tracking", "hand-tracking", "iris-tracking", "age-estimation", "emotion-detection", "gender-prediction", "gesture-recognition"]};
|
||||
jx.exports = {name: "@vladmandic/human", version: "0.7.1", description: "human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition", sideEffects: false, main: "dist/human.node.js", module: "dist/human.esm.js", browser: "dist/human.esm.js", author: "Vladimir Mandic <mandic00@live.com>", bugs: {url: "https://github.com/vladmandic/human/issues"}, homepage: "https://github.com/vladmandic/human#readme", license: "MIT", engines: {node: ">=14.0.0"}, repository: {type: "git", url: "git+https://github.com/vladmandic/human.git"}, dependencies: {}, peerDependencies: {}, devDependencies: {"@tensorflow/tfjs": "^2.7.0", "@tensorflow/tfjs-node": "^2.7.0", "@vladmandic/pilogger": "^0.2.7", dayjs: "^1.9.4", esbuild: "^0.7.22", eslint: "^7.12.1", "eslint-config-airbnb-base": "^14.2.0", "eslint-plugin-import": "^2.22.1", "eslint-plugin-json": "^2.1.2", "eslint-plugin-node": "^11.1.0", "eslint-plugin-promise": "^4.2.1", rimraf: "^3.0.2", seedrandom: "^3.0.5", "simple-git": "^2.21.0"}, scripts: {start: "node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js", lint: "eslint src/*.js demo/*.js", "build-iife": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=iife --external:fs --global-name=Human --metafile=dist/human.json --outfile=dist/human.js src/human.js", "build-esm-bundle": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js", "build-esm-nobundle": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js", "build-node": "esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js", "build-node-nobundle": "esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js", "build-demo": "esbuild --bundle --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js", build: "rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && npm run build-demo && ls -l dist/", update: "npm update --depth 20 --force && npm dedupe && npm prune && npm audit", changelog: "node changelog.js"}, keywords: ["tensorflowjs", "face-detection", "face-geometry", "body-tracking", "hand-tracking", "iris-tracking", "age-estimation", "emotion-detection", "gender-prediction", "gesture-recognition"]};
|
||||
});
|
||||
const nn = zt();
|
||||
const Xx = K2();
|
||||
|
|
@ -33182,7 +33182,7 @@ class ZV {
|
|||
return "input must be a tensor";
|
||||
try {
|
||||
nn.getBackend();
|
||||
} catch {
|
||||
} catch (e) {
|
||||
return "backend not loaded";
|
||||
}
|
||||
return null;
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -31,13 +31,13 @@
|
|||
"dist/demo-browser-index.js.map": {
|
||||
"imports": [],
|
||||
"inputs": {},
|
||||
"bytes": 5518750
|
||||
"bytes": 5518726
|
||||
},
|
||||
"dist/demo-browser-index.js": {
|
||||
"imports": [],
|
||||
"inputs": {
|
||||
"dist/human.esm.js": {
|
||||
"bytesInOutput": 1660256
|
||||
"bytesInOutput": 1660491
|
||||
},
|
||||
"dist/human.esm.js": {
|
||||
"bytesInOutput": 8716
|
||||
|
|
@ -52,7 +52,7 @@
|
|||
"bytesInOutput": 15336
|
||||
}
|
||||
},
|
||||
"bytes": 1704061
|
||||
"bytes": 1704296
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -45,7 +45,7 @@
|
|||
"build-esm-nobundle": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js",
|
||||
"build-node": "esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js",
|
||||
"build-node-nobundle": "esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js",
|
||||
"build-demo": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js",
|
||||
"build-demo": "esbuild --bundle --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js",
|
||||
"build": "rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && npm run build-demo && ls -l dist/",
|
||||
"update": "npm update --depth 20 --force && npm dedupe && npm prune && npm audit",
|
||||
"changelog": "node changelog.js"
|
||||
|
|
|
|||
Loading…
Reference in New Issue