"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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var tf = require("@tensorflow/tfjs-core");
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var common_1 = require("../common");
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function boxPredictionLayer(x, params) {
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return tf.tidy(function () {
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var batchSize = x.shape[0];
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var boxPredictionEncoding = tf.reshape(common_1.convLayer(x, params.box_encoding_predictor), [batchSize, -1, 1, 4]);
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var classPrediction = tf.reshape(common_1.convLayer(x, params.class_predictor), [batchSize, -1, 3]);
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return {
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boxPredictionEncoding: boxPredictionEncoding,
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classPrediction: classPrediction
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};
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});
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}
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exports.boxPredictionLayer = boxPredictionLayer;
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//# sourceMappingURL=boxPredictionLayer.js.map
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