face-api.js
Version:
JavaScript API for face detection and face recognition in the browser with tensorflow.js
58 lines • 2.69 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
var tslib_1 = require("tslib");
var tf = require("@tensorflow/tfjs-core");
var dom_1 = require("../dom");
var NeuralNetwork_1 = require("../NeuralNetwork");
var ops_1 = require("../ops");
var denseBlock_1 = require("./denseBlock");
var extractParams_1 = require("./extractParams");
var extractParamsFromWeigthMap_1 = require("./extractParamsFromWeigthMap");
var FaceFeatureExtractor = /** @class */ (function (_super) {
tslib_1.__extends(FaceFeatureExtractor, _super);
function FaceFeatureExtractor() {
return _super.call(this, 'FaceFeatureExtractor') || this;
}
FaceFeatureExtractor.prototype.forwardInput = function (input) {
var params = this.params;
if (!params) {
throw new Error('FaceFeatureExtractor - load model before inference');
}
return tf.tidy(function () {
var batchTensor = input.toBatchTensor(112, true);
var meanRgb = [122.782, 117.001, 104.298];
var normalized = ops_1.normalize(batchTensor, meanRgb).div(tf.scalar(255));
var out = denseBlock_1.denseBlock4(normalized, params.dense0, true);
out = denseBlock_1.denseBlock4(out, params.dense1);
out = denseBlock_1.denseBlock4(out, params.dense2);
out = denseBlock_1.denseBlock4(out, params.dense3);
out = tf.avgPool(out, [7, 7], [2, 2], 'valid');
return out;
});
};
FaceFeatureExtractor.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () {
var _a;
return tslib_1.__generator(this, function (_b) {
switch (_b.label) {
case 0:
_a = this.forwardInput;
return [4 /*yield*/, dom_1.toNetInput(input)];
case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
}
});
});
};
FaceFeatureExtractor.prototype.getDefaultModelName = function () {
return 'face_feature_extractor_model';
};
FaceFeatureExtractor.prototype.extractParamsFromWeigthMap = function (weightMap) {
return extractParamsFromWeigthMap_1.extractParamsFromWeigthMap(weightMap);
};
FaceFeatureExtractor.prototype.extractParams = function (weights) {
return extractParams_1.extractParams(weights);
};
return FaceFeatureExtractor;
}(NeuralNetwork_1.NeuralNetwork));
exports.FaceFeatureExtractor = FaceFeatureExtractor;
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