face-api.js
Version:
JavaScript API for face detection and face recognition in the browser with tensorflow.js
178 lines • 8.36 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
var tslib_1 = require("tslib");
var tf = require("@tensorflow/tfjs-core");
var getModelUris_1 = require("./common/getModelUris");
var dom_1 = require("./dom");
var env_1 = require("./env");
var NeuralNetwork = /** @class */ (function () {
function NeuralNetwork(_name) {
this._name = _name;
this._params = undefined;
this._paramMappings = [];
}
Object.defineProperty(NeuralNetwork.prototype, "params", {
get: function () { return this._params; },
enumerable: true,
configurable: true
});
Object.defineProperty(NeuralNetwork.prototype, "paramMappings", {
get: function () { return this._paramMappings; },
enumerable: true,
configurable: true
});
Object.defineProperty(NeuralNetwork.prototype, "isLoaded", {
get: function () { return !!this.params; },
enumerable: true,
configurable: true
});
NeuralNetwork.prototype.getParamFromPath = function (paramPath) {
var _a = this.traversePropertyPath(paramPath), obj = _a.obj, objProp = _a.objProp;
return obj[objProp];
};
NeuralNetwork.prototype.reassignParamFromPath = function (paramPath, tensor) {
var _a = this.traversePropertyPath(paramPath), obj = _a.obj, objProp = _a.objProp;
obj[objProp].dispose();
obj[objProp] = tensor;
};
NeuralNetwork.prototype.getParamList = function () {
var _this = this;
return this._paramMappings.map(function (_a) {
var paramPath = _a.paramPath;
return ({
path: paramPath,
tensor: _this.getParamFromPath(paramPath)
});
});
};
NeuralNetwork.prototype.getTrainableParams = function () {
return this.getParamList().filter(function (param) { return param.tensor instanceof tf.Variable; });
};
NeuralNetwork.prototype.getFrozenParams = function () {
return this.getParamList().filter(function (param) { return !(param.tensor instanceof tf.Variable); });
};
NeuralNetwork.prototype.variable = function () {
var _this = this;
this.getFrozenParams().forEach(function (_a) {
var path = _a.path, tensor = _a.tensor;
_this.reassignParamFromPath(path, tensor.variable());
});
};
NeuralNetwork.prototype.freeze = function () {
var _this = this;
this.getTrainableParams().forEach(function (_a) {
var path = _a.path, variable = _a.tensor;
var tensor = tf.tensor(variable.dataSync());
variable.dispose();
_this.reassignParamFromPath(path, tensor);
});
};
NeuralNetwork.prototype.dispose = function (throwOnRedispose) {
if (throwOnRedispose === void 0) { throwOnRedispose = true; }
this.getParamList().forEach(function (param) {
if (throwOnRedispose && param.tensor.isDisposed) {
throw new Error("param tensor has already been disposed for path " + param.path);
}
param.tensor.dispose();
});
this._params = undefined;
};
NeuralNetwork.prototype.serializeParams = function () {
return new Float32Array(this.getParamList()
.map(function (_a) {
var tensor = _a.tensor;
return Array.from(tensor.dataSync());
})
.reduce(function (flat, arr) { return flat.concat(arr); }));
};
NeuralNetwork.prototype.load = function (weightsOrUrl) {
return tslib_1.__awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) {
switch (_a.label) {
case 0:
if (weightsOrUrl instanceof Float32Array) {
this.extractWeights(weightsOrUrl);
return [2 /*return*/];
}
return [4 /*yield*/, this.loadFromUri(weightsOrUrl)];
case 1:
_a.sent();
return [2 /*return*/];
}
});
});
};
NeuralNetwork.prototype.loadFromUri = function (uri) {
return tslib_1.__awaiter(this, void 0, void 0, function () {
var weightMap;
return tslib_1.__generator(this, function (_a) {
switch (_a.label) {
case 0:
if (uri && typeof uri !== 'string') {
throw new Error(this._name + ".loadFromUri - expected model uri");
}
return [4 /*yield*/, dom_1.loadWeightMap(uri, this.getDefaultModelName())];
case 1:
weightMap = _a.sent();
this.loadFromWeightMap(weightMap);
return [2 /*return*/];
}
});
});
};
NeuralNetwork.prototype.loadFromDisk = function (filePath) {
return tslib_1.__awaiter(this, void 0, void 0, function () {
var readFile, _a, manifestUri, modelBaseUri, fetchWeightsFromDisk, loadWeights, manifest, _b, _c, weightMap;
return tslib_1.__generator(this, function (_d) {
switch (_d.label) {
case 0:
if (filePath && typeof filePath !== 'string') {
throw new Error(this._name + ".loadFromDisk - expected model file path");
}
readFile = env_1.env.getEnv().readFile;
_a = getModelUris_1.getModelUris(filePath, this.getDefaultModelName()), manifestUri = _a.manifestUri, modelBaseUri = _a.modelBaseUri;
fetchWeightsFromDisk = function (filePaths) { return Promise.all(filePaths.map(function (filePath) { return readFile(filePath).then(function (buf) { return buf.buffer; }); })); };
loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk);
_c = (_b = JSON).parse;
return [4 /*yield*/, readFile(manifestUri)];
case 1:
manifest = _c.apply(_b, [(_d.sent()).toString()]);
return [4 /*yield*/, loadWeights(manifest, modelBaseUri)];
case 2:
weightMap = _d.sent();
this.loadFromWeightMap(weightMap);
return [2 /*return*/];
}
});
});
};
NeuralNetwork.prototype.loadFromWeightMap = function (weightMap) {
var _a = this.extractParamsFromWeigthMap(weightMap), paramMappings = _a.paramMappings, params = _a.params;
this._paramMappings = paramMappings;
this._params = params;
};
NeuralNetwork.prototype.extractWeights = function (weights) {
var _a = this.extractParams(weights), paramMappings = _a.paramMappings, params = _a.params;
this._paramMappings = paramMappings;
this._params = params;
};
NeuralNetwork.prototype.traversePropertyPath = function (paramPath) {
if (!this.params) {
throw new Error("traversePropertyPath - model has no loaded params");
}
var result = paramPath.split('/').reduce(function (res, objProp) {
if (!res.nextObj.hasOwnProperty(objProp)) {
throw new Error("traversePropertyPath - object does not have property " + objProp + ", for path " + paramPath);
}
return { obj: res.nextObj, objProp: objProp, nextObj: res.nextObj[objProp] };
}, { nextObj: this.params });
var obj = result.obj, objProp = result.objProp;
if (!obj || !objProp || !(obj[objProp] instanceof tf.Tensor)) {
throw new Error("traversePropertyPath - parameter is not a tensor, for path " + paramPath);
}
return { obj: obj, objProp: objProp };
};
return NeuralNetwork;
}());
exports.NeuralNetwork = NeuralNetwork;
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