face-api.js
Version:
JavaScript API for face detection and face recognition in the browser with tensorflow.js
63 lines • 4.25 kB
JavaScript
import * as tf from '@tensorflow/tfjs-core';
import { extractConvParamsFactory } from '../common';
import { extractSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';
import { extractWeightsFactory } from '../common/extractWeightsFactory';
function extractorsFactory(extractWeights, paramMappings) {
var extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
function extractBatchNormParams(size, mappedPrefix) {
var sub = tf.tensor1d(extractWeights(size));
var truediv = tf.tensor1d(extractWeights(size));
paramMappings.push({ paramPath: mappedPrefix + "/sub" }, { paramPath: mappedPrefix + "/truediv" });
return { sub: sub, truediv: truediv };
}
function extractConvWithBatchNormParams(channelsIn, channelsOut, mappedPrefix) {
var conv = extractConvParams(channelsIn, channelsOut, 3, mappedPrefix + "/conv");
var bn = extractBatchNormParams(channelsOut, mappedPrefix + "/bn");
return { conv: conv, bn: bn };
}
var extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
return {
extractConvParams: extractConvParams,
extractConvWithBatchNormParams: extractConvWithBatchNormParams,
extractSeparableConvParams: extractSeparableConvParams
};
}
export function extractParams(weights, config, boxEncodingSize, filterSizes) {
var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
var paramMappings = [];
var _b = extractorsFactory(extractWeights, paramMappings), extractConvParams = _b.extractConvParams, extractConvWithBatchNormParams = _b.extractConvWithBatchNormParams, extractSeparableConvParams = _b.extractSeparableConvParams;
var params;
if (config.withSeparableConvs) {
var s0 = filterSizes[0], s1 = filterSizes[1], s2 = filterSizes[2], s3 = filterSizes[3], s4 = filterSizes[4], s5 = filterSizes[5], s6 = filterSizes[6], s7 = filterSizes[7], s8 = filterSizes[8];
var conv0 = config.isFirstLayerConv2d
? extractConvParams(s0, s1, 3, 'conv0')
: extractSeparableConvParams(s0, s1, 'conv0');
var conv1 = extractSeparableConvParams(s1, s2, 'conv1');
var conv2 = extractSeparableConvParams(s2, s3, 'conv2');
var conv3 = extractSeparableConvParams(s3, s4, 'conv3');
var conv4 = extractSeparableConvParams(s4, s5, 'conv4');
var conv5 = extractSeparableConvParams(s5, s6, 'conv5');
var conv6 = s7 ? extractSeparableConvParams(s6, s7, 'conv6') : undefined;
var conv7 = s8 ? extractSeparableConvParams(s7, s8, 'conv7') : undefined;
var conv8 = extractConvParams(s8 || s7 || s6, 5 * boxEncodingSize, 1, 'conv8');
params = { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3, conv4: conv4, conv5: conv5, conv6: conv6, conv7: conv7, conv8: conv8 };
}
else {
var s0 = filterSizes[0], s1 = filterSizes[1], s2 = filterSizes[2], s3 = filterSizes[3], s4 = filterSizes[4], s5 = filterSizes[5], s6 = filterSizes[6], s7 = filterSizes[7], s8 = filterSizes[8];
var conv0 = extractConvWithBatchNormParams(s0, s1, 'conv0');
var conv1 = extractConvWithBatchNormParams(s1, s2, 'conv1');
var conv2 = extractConvWithBatchNormParams(s2, s3, 'conv2');
var conv3 = extractConvWithBatchNormParams(s3, s4, 'conv3');
var conv4 = extractConvWithBatchNormParams(s4, s5, 'conv4');
var conv5 = extractConvWithBatchNormParams(s5, s6, 'conv5');
var conv6 = extractConvWithBatchNormParams(s6, s7, 'conv6');
var conv7 = extractConvWithBatchNormParams(s7, s8, 'conv7');
var conv8 = extractConvParams(s8, 5 * boxEncodingSize, 1, 'conv8');
params = { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3, conv4: conv4, conv5: conv5, conv6: conv6, conv7: conv7, conv8: conv8 };
}
if (getRemainingWeights().length !== 0) {
throw new Error("weights remaing after extract: " + getRemainingWeights().length);
}
return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParams.js.map