face-api.js
Version:
JavaScript API for face detection and face recognition in the browser with tensorflow.js
57 lines • 2.84 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
var tslib_1 = require("tslib");
var MtcnnOptions_1 = require("../mtcnn/MtcnnOptions");
var ssdMobilenetv1_1 = require("../ssdMobilenetv1");
var tinyYolov2_1 = require("../tinyYolov2");
var detectFaces_1 = require("./detectFaces");
// export allFaces API for backward compatibility
function allFacesSsdMobilenetv1(input, minConfidence) {
return tslib_1.__awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) {
switch (_a.label) {
case 0:
console.warn('allFacesSsdMobilenetv1 is deprecated and will be removed soon, use the high level api instead');
return [4 /*yield*/, detectFaces_1.detectAllFaces(input, new ssdMobilenetv1_1.SsdMobilenetv1Options(minConfidence ? { minConfidence: minConfidence } : {}))
.withFaceLandmarks()
.withFaceDescriptors()];
case 1: return [2 /*return*/, _a.sent()];
}
});
});
}
exports.allFacesSsdMobilenetv1 = allFacesSsdMobilenetv1;
function allFacesTinyYolov2(input, forwardParams) {
if (forwardParams === void 0) { forwardParams = {}; }
return tslib_1.__awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) {
switch (_a.label) {
case 0:
console.warn('allFacesTinyYolov2 is deprecated and will be removed soon, use the high level api instead');
return [4 /*yield*/, detectFaces_1.detectAllFaces(input, new tinyYolov2_1.TinyYolov2Options(forwardParams))
.withFaceLandmarks()
.withFaceDescriptors()];
case 1: return [2 /*return*/, _a.sent()];
}
});
});
}
exports.allFacesTinyYolov2 = allFacesTinyYolov2;
function allFacesMtcnn(input, forwardParams) {
if (forwardParams === void 0) { forwardParams = {}; }
return tslib_1.__awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) {
switch (_a.label) {
case 0:
console.warn('allFacesMtcnn is deprecated and will be removed soon, use the high level api instead');
return [4 /*yield*/, detectFaces_1.detectAllFaces(input, new MtcnnOptions_1.MtcnnOptions(forwardParams))
.withFaceLandmarks()
.withFaceDescriptors()];
case 1: return [2 /*return*/, _a.sent()];
}
});
});
}
exports.allFacesMtcnn = allFacesMtcnn;
exports.allFaces = allFacesSsdMobilenetv1;
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