face-api.js
Version:
JavaScript API for face detection and face recognition in the browser with tensorflow.js
115 lines • 6.88 kB
JavaScript
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
var tslib_1 = require("tslib");
var WithFaceExpressions_1 = require("../factories/WithFaceExpressions");
var ComposableTask_1 = require("./ComposableTask");
var ComputeFaceDescriptorsTasks_1 = require("./ComputeFaceDescriptorsTasks");
var extractFacesAndComputeResults_1 = require("./extractFacesAndComputeResults");
var nets_1 = require("./nets");
var PredictAgeAndGenderTask_1 = require("./PredictAgeAndGenderTask");
var PredictFaceExpressionsTaskBase = /** @class */ (function (_super) {
tslib_1.__extends(PredictFaceExpressionsTaskBase, _super);
function PredictFaceExpressionsTaskBase(parentTask, input, extractedFaces) {
var _this = _super.call(this) || this;
_this.parentTask = parentTask;
_this.input = input;
_this.extractedFaces = extractedFaces;
return _this;
}
return PredictFaceExpressionsTaskBase;
}(ComposableTask_1.ComposableTask));
exports.PredictFaceExpressionsTaskBase = PredictFaceExpressionsTaskBase;
var PredictAllFaceExpressionsTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictAllFaceExpressionsTask, _super);
function PredictAllFaceExpressionsTask() {
return _super !== null && _super.apply(this, arguments) || this;
}
PredictAllFaceExpressionsTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () {
var parentResults, faceExpressionsByFace;
var _this = this;
return tslib_1.__generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, this.parentTask];
case 1:
parentResults = _a.sent();
return [4 /*yield*/, extractFacesAndComputeResults_1.extractAllFacesAndComputeResults(parentResults, this.input, function (faces) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets_1.nets.faceExpressionNet.predictExpressions(face); }))];
case 1: return [2 /*return*/, _a.sent()];
}
});
}); }, this.extractedFaces)];
case 2:
faceExpressionsByFace = _a.sent();
return [2 /*return*/, parentResults.map(function (parentResult, i) { return WithFaceExpressions_1.extendWithFaceExpressions(parentResult, faceExpressionsByFace[i]); })];
}
});
});
};
PredictAllFaceExpressionsTask.prototype.withAgeAndGender = function () {
return new PredictAgeAndGenderTask_1.PredictAllAgeAndGenderTask(this, this.input);
};
return PredictAllFaceExpressionsTask;
}(PredictFaceExpressionsTaskBase));
exports.PredictAllFaceExpressionsTask = PredictAllFaceExpressionsTask;
var PredictSingleFaceExpressionsTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictSingleFaceExpressionsTask, _super);
function PredictSingleFaceExpressionsTask() {
return _super !== null && _super.apply(this, arguments) || this;
}
PredictSingleFaceExpressionsTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () {
var parentResult, faceExpressions;
return tslib_1.__generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, this.parentTask];
case 1:
parentResult = _a.sent();
if (!parentResult) {
return [2 /*return*/];
}
return [4 /*yield*/, extractFacesAndComputeResults_1.extractSingleFaceAndComputeResult(parentResult, this.input, function (face) { return nets_1.nets.faceExpressionNet.predictExpressions(face); }, this.extractedFaces)];
case 2:
faceExpressions = _a.sent();
return [2 /*return*/, WithFaceExpressions_1.extendWithFaceExpressions(parentResult, faceExpressions)];
}
});
});
};
PredictSingleFaceExpressionsTask.prototype.withAgeAndGender = function () {
return new PredictAgeAndGenderTask_1.PredictSingleAgeAndGenderTask(this, this.input);
};
return PredictSingleFaceExpressionsTask;
}(PredictFaceExpressionsTaskBase));
exports.PredictSingleFaceExpressionsTask = PredictSingleFaceExpressionsTask;
var PredictAllFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictAllFaceExpressionsWithFaceAlignmentTask, _super);
function PredictAllFaceExpressionsWithFaceAlignmentTask() {
return _super !== null && _super.apply(this, arguments) || this;
}
PredictAllFaceExpressionsWithFaceAlignmentTask.prototype.withAgeAndGender = function () {
return new PredictAgeAndGenderTask_1.PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);
};
PredictAllFaceExpressionsWithFaceAlignmentTask.prototype.withFaceDescriptors = function () {
return new ComputeFaceDescriptorsTasks_1.ComputeAllFaceDescriptorsTask(this, this.input);
};
return PredictAllFaceExpressionsWithFaceAlignmentTask;
}(PredictAllFaceExpressionsTask));
exports.PredictAllFaceExpressionsWithFaceAlignmentTask = PredictAllFaceExpressionsWithFaceAlignmentTask;
var PredictSingleFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictSingleFaceExpressionsWithFaceAlignmentTask, _super);
function PredictSingleFaceExpressionsWithFaceAlignmentTask() {
return _super !== null && _super.apply(this, arguments) || this;
}
PredictSingleFaceExpressionsWithFaceAlignmentTask.prototype.withAgeAndGender = function () {
return new PredictAgeAndGenderTask_1.PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);
};
PredictSingleFaceExpressionsWithFaceAlignmentTask.prototype.withFaceDescriptor = function () {
return new ComputeFaceDescriptorsTasks_1.ComputeSingleFaceDescriptorTask(this, this.input);
};
return PredictSingleFaceExpressionsWithFaceAlignmentTask;
}(PredictSingleFaceExpressionsTask));
exports.PredictSingleFaceExpressionsWithFaceAlignmentTask = PredictSingleFaceExpressionsWithFaceAlignmentTask;
//# sourceMappingURL=PredictFaceExpressionsTask.js.map