"use strict";
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/**
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* @license
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* Copyright 2019 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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Object.defineProperty(exports, "__esModule", { value: true });
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var kernel_names_1 = require("../../../kernel_names");
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var non_max_suppression_impl_1 = require("../../non_max_suppression_impl");
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var cpu_util_1 = require("../cpu_util");
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exports.nonMaxSuppressionV5Config = {
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kernelName: kernel_names_1.NonMaxSuppressionV5,
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backendName: 'cpu',
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kernelFunc: function (_a) {
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var inputs = _a.inputs, backend = _a.backend, attrs = _a.attrs;
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var _b = inputs, boxes = _b.boxes, scores = _b.scores;
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var _c = attrs, maxOutputSize = _c.maxOutputSize, iouThreshold = _c.iouThreshold, scoreThreshold = _c.scoreThreshold, softNmsSigma = _c.softNmsSigma;
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var cpuBackend = backend;
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cpu_util_1.assertNotComplex(boxes, 'NonMaxSuppressionWithScore');
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var boxesVals = cpuBackend.data.get(boxes.dataId).values;
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var scoresVals = cpuBackend.data.get(scores.dataId).values;
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var maxOutputSizeVal = maxOutputSize;
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var iouThresholdVal = iouThreshold;
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var scoreThresholdVal = scoreThreshold;
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var softNmsSigmaVal = softNmsSigma;
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var _d = non_max_suppression_impl_1.nonMaxSuppressionV5(boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal, scoreThresholdVal, softNmsSigmaVal), selectedIndices = _d.selectedIndices, selectedScores = _d.selectedScores;
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return [selectedIndices, selectedScores];
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}
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};
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//# sourceMappingURL=NonMaxSuppressionV5.js.map
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