face-api.js
Version:
JavaScript API for face detection and face recognition in the browser with tensorflow.js
131 lines • 6.96 kB
JavaScript
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
var tslib_1 = require("tslib");
var tf = require("@tensorflow/tfjs-core");
var dom_1 = require("../dom");
var WithFaceLandmarks_1 = require("../factories/WithFaceLandmarks");
var ComposableTask_1 = require("./ComposableTask");
var ComputeFaceDescriptorsTasks_1 = require("./ComputeFaceDescriptorsTasks");
var nets_1 = require("./nets");
var PredictAgeAndGenderTask_1 = require("./PredictAgeAndGenderTask");
var PredictFaceExpressionsTask_1 = require("./PredictFaceExpressionsTask");
var DetectFaceLandmarksTaskBase = /** @class */ (function (_super) {
tslib_1.__extends(DetectFaceLandmarksTaskBase, _super);
function DetectFaceLandmarksTaskBase(parentTask, input, useTinyLandmarkNet) {
var _this = _super.call(this) || this;
_this.parentTask = parentTask;
_this.input = input;
_this.useTinyLandmarkNet = useTinyLandmarkNet;
return _this;
}
Object.defineProperty(DetectFaceLandmarksTaskBase.prototype, "landmarkNet", {
get: function () {
return this.useTinyLandmarkNet
? nets_1.nets.faceLandmark68TinyNet
: nets_1.nets.faceLandmark68Net;
},
enumerable: true,
configurable: true
});
return DetectFaceLandmarksTaskBase;
}(ComposableTask_1.ComposableTask));
exports.DetectFaceLandmarksTaskBase = DetectFaceLandmarksTaskBase;
var DetectAllFaceLandmarksTask = /** @class */ (function (_super) {
tslib_1.__extends(DetectAllFaceLandmarksTask, _super);
function DetectAllFaceLandmarksTask() {
return _super !== null && _super.apply(this, arguments) || this;
}
DetectAllFaceLandmarksTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () {
var parentResults, detections, faces, _a, faceLandmarksByFace;
var _this = this;
return tslib_1.__generator(this, function (_b) {
switch (_b.label) {
case 0: return [4 /*yield*/, this.parentTask];
case 1:
parentResults = _b.sent();
detections = parentResults.map(function (res) { return res.detection; });
if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
return [4 /*yield*/, dom_1.extractFaceTensors(this.input, detections)];
case 2:
_a = _b.sent();
return [3 /*break*/, 5];
case 3: return [4 /*yield*/, dom_1.extractFaces(this.input, detections)];
case 4:
_a = _b.sent();
_b.label = 5;
case 5:
faces = _a;
return [4 /*yield*/, Promise.all(faces.map(function (face) { return _this.landmarkNet.detectLandmarks(face); }))];
case 6:
faceLandmarksByFace = _b.sent();
faces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
return [2 /*return*/, parentResults.map(function (parentResult, i) {
return WithFaceLandmarks_1.extendWithFaceLandmarks(parentResult, faceLandmarksByFace[i]);
})];
}
});
});
};
DetectAllFaceLandmarksTask.prototype.withFaceExpressions = function () {
return new PredictFaceExpressionsTask_1.PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);
};
DetectAllFaceLandmarksTask.prototype.withAgeAndGender = function () {
return new PredictAgeAndGenderTask_1.PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);
};
DetectAllFaceLandmarksTask.prototype.withFaceDescriptors = function () {
return new ComputeFaceDescriptorsTasks_1.ComputeAllFaceDescriptorsTask(this, this.input);
};
return DetectAllFaceLandmarksTask;
}(DetectFaceLandmarksTaskBase));
exports.DetectAllFaceLandmarksTask = DetectAllFaceLandmarksTask;
var DetectSingleFaceLandmarksTask = /** @class */ (function (_super) {
tslib_1.__extends(DetectSingleFaceLandmarksTask, _super);
function DetectSingleFaceLandmarksTask() {
return _super !== null && _super.apply(this, arguments) || this;
}
DetectSingleFaceLandmarksTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () {
var parentResult, detection, faces, _a, landmarks;
return tslib_1.__generator(this, function (_b) {
switch (_b.label) {
case 0: return [4 /*yield*/, this.parentTask];
case 1:
parentResult = _b.sent();
if (!parentResult) {
return [2 /*return*/];
}
detection = parentResult.detection;
if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
return [4 /*yield*/, dom_1.extractFaceTensors(this.input, [detection])];
case 2:
_a = _b.sent();
return [3 /*break*/, 5];
case 3: return [4 /*yield*/, dom_1.extractFaces(this.input, [detection])];
case 4:
_a = _b.sent();
_b.label = 5;
case 5:
faces = _a;
return [4 /*yield*/, this.landmarkNet.detectLandmarks(faces[0])];
case 6:
landmarks = _b.sent();
faces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
return [2 /*return*/, WithFaceLandmarks_1.extendWithFaceLandmarks(parentResult, landmarks)];
}
});
});
};
DetectSingleFaceLandmarksTask.prototype.withFaceExpressions = function () {
return new PredictFaceExpressionsTask_1.PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);
};
DetectSingleFaceLandmarksTask.prototype.withAgeAndGender = function () {
return new PredictAgeAndGenderTask_1.PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);
};
DetectSingleFaceLandmarksTask.prototype.withFaceDescriptor = function () {
return new ComputeFaceDescriptorsTasks_1.ComputeSingleFaceDescriptorTask(this, this.input);
};
return DetectSingleFaceLandmarksTask;
}(DetectFaceLandmarksTaskBase));
exports.DetectSingleFaceLandmarksTask = DetectSingleFaceLandmarksTask;
//# sourceMappingURL=DetectFaceLandmarksTasks.js.map