face-api.js
Version:
JavaScript API for face detection and face recognition in the browser with tensorflow.js
70 lines • 3.77 kB
JavaScript
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
var tslib_1 = require("tslib");
var common_1 = require("../common");
function extractorsFactory(weightMap, paramMappings) {
var extractWeightEntry = common_1.extractWeightEntryFactory(weightMap, paramMappings);
function extractConvParams(prefix) {
var filters = extractWeightEntry(prefix + "/weights", 4, prefix + "/filters");
var bias = extractWeightEntry(prefix + "/bias", 1);
return { filters: filters, bias: bias };
}
function extractFCParams(prefix) {
var weights = extractWeightEntry(prefix + "/weights", 2);
var bias = extractWeightEntry(prefix + "/bias", 1);
return { weights: weights, bias: bias };
}
function extractPReluParams(paramPath) {
return extractWeightEntry(paramPath, 1);
}
function extractSharedParams(prefix) {
var conv1 = extractConvParams(prefix + "/conv1");
var prelu1_alpha = extractPReluParams(prefix + "/prelu1_alpha");
var conv2 = extractConvParams(prefix + "/conv2");
var prelu2_alpha = extractPReluParams(prefix + "/prelu2_alpha");
var conv3 = extractConvParams(prefix + "/conv3");
var prelu3_alpha = extractPReluParams(prefix + "/prelu3_alpha");
return { conv1: conv1, prelu1_alpha: prelu1_alpha, conv2: conv2, prelu2_alpha: prelu2_alpha, conv3: conv3, prelu3_alpha: prelu3_alpha };
}
function extractPNetParams() {
var sharedParams = extractSharedParams('pnet');
var conv4_1 = extractConvParams('pnet/conv4_1');
var conv4_2 = extractConvParams('pnet/conv4_2');
return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { conv4_1: conv4_1, conv4_2: conv4_2 });
}
function extractRNetParams() {
var sharedParams = extractSharedParams('rnet');
var fc1 = extractFCParams('rnet/fc1');
var prelu4_alpha = extractPReluParams('rnet/prelu4_alpha');
var fc2_1 = extractFCParams('rnet/fc2_1');
var fc2_2 = extractFCParams('rnet/fc2_2');
return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
}
function extractONetParams() {
var sharedParams = extractSharedParams('onet');
var conv4 = extractConvParams('onet/conv4');
var prelu4_alpha = extractPReluParams('onet/prelu4_alpha');
var fc1 = extractFCParams('onet/fc1');
var prelu5_alpha = extractPReluParams('onet/prelu5_alpha');
var fc2_1 = extractFCParams('onet/fc2_1');
var fc2_2 = extractFCParams('onet/fc2_2');
var fc2_3 = extractFCParams('onet/fc2_3');
return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
}
return {
extractPNetParams: extractPNetParams,
extractRNetParams: extractRNetParams,
extractONetParams: extractONetParams
};
}
function extractParamsFromWeigthMap(weightMap) {
var paramMappings = [];
var _a = extractorsFactory(weightMap, paramMappings), extractPNetParams = _a.extractPNetParams, extractRNetParams = _a.extractRNetParams, extractONetParams = _a.extractONetParams;
var pnet = extractPNetParams();
var rnet = extractRNetParams();
var onet = extractONetParams();
common_1.disposeUnusedWeightTensors(weightMap, paramMappings);
return { params: { pnet: pnet, rnet: rnet, onet: onet }, paramMappings: paramMappings };
}
exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;
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