text: "use strict";
  Object.defineProperty(exports, "__esModule", { value: true });
  //import * as tf from '@tensorflow/tfjs-core';
  var tf = require("@tensorflow/tfjs");
  function getCenterCoordinatesAndSizesLayer(x) {
      var vec = tf.unstack(tf.transpose(x, [1, 0]));
      var sizes = [
          tf.sub(vec[2], vec[0]),
          tf.sub(vec[3], vec[1])
      ];
      var centers = [
          tf.add(vec[0], tf.div(sizes[0], tf.scalar(2))),
          tf.add(vec[1], tf.div(sizes[1], tf.scalar(2)))
      ];
      return {
          sizes: sizes,
          centers: centers
      };
  }
  function decodeBoxesLayer(x0, x1) {
      var _a = getCenterCoordinatesAndSizesLayer(x0), sizes = _a.sizes, centers = _a.centers;
      var vec = tf.unstack(tf.transpose(x1, [1, 0]));
      var div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], tf.scalar(5))), sizes[0]), tf.scalar(2));
      var add0_out = tf.add(tf.mul(tf.div(vec[0], tf.scalar(10)), sizes[0]), centers[0]);
      var div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], tf.scalar(5))), sizes[1]), tf.scalar(2));
      var add1_out = tf.add(tf.mul(tf.div(vec[1], tf.scalar(10)), sizes[1]), centers[1]);
      return tf.transpose(tf.stack([
          tf.sub(add0_out, div0_out),
          tf.sub(add1_out, div1_out),
          tf.add(add0_out, div0_out),
          tf.add(add1_out, div1_out)
      ]), [1, 0]);
  }
  function outputLayer(boxPredictions, classPredictions, params) {
      return tf.tidy(function () {
          var batchSize = boxPredictions.shape[0];
          var boxes = decodeBoxesLayer(tf.reshape(tf.tile(params.extra_dim, [batchSize, 1, 1]), [-1, 4]), tf.reshape(boxPredictions, [-1, 4]));
          boxes = tf.reshape(boxes, [batchSize, (boxes.shape[0] / batchSize), 4]);
          var scoresAndClasses = tf.sigmoid(tf.slice(classPredictions, [0, 0, 1], [-1, -1, -1]));
          var scores = tf.slice(scoresAndClasses, [0, 0, 0], [-1, -1, 1]);
          scores = tf.reshape(scores, [batchSize, scores.shape[1]]);
          var boxesByBatch = tf.unstack(boxes);
          var scoresByBatch = tf.unstack(scores);
          return {
              boxes: boxesByBatch,
              scores: scoresByBatch
          };
      });
  }
  exports.outputLayer = outputLayer;
  //# sourceMappingURL=outputLayer.js.map