@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
;
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
var kernel_registry_1 = require("../../kernel_registry");
var non_max_suppression_impl_1 = require("../non_max_suppression_impl");
var cpu_util_1 = require("./cpu_util");
kernel_registry_1.registerKernel({
kernelName: 'NonMaxSuppressionV5',
backendName: 'cpu',
kernelFunc: function (_a) {
var inputs = _a.inputs, backend = _a.backend, attrs = _a.attrs;
var _b = inputs, boxes = _b.boxes, scores = _b.scores;
var _c = attrs, maxOutputSize = _c.maxOutputSize, iouThreshold = _c.iouThreshold, scoreThreshold = _c.scoreThreshold, softNmsSigma = _c.softNmsSigma;
var cpuBackend = backend;
cpu_util_1.assertNotComplex(boxes, 'NonMaxSuppressionWithScore');
var boxesVals = cpuBackend.data.get(boxes.dataId).values;
var scoresVals = cpuBackend.data.get(scores.dataId).values;
var maxOutputSizeVal = maxOutputSize;
var iouThresholdVal = iouThreshold;
var scoreThresholdVal = scoreThreshold;
var softNmsSigmaVal = softNmsSigma;
var _d = non_max_suppression_impl_1.nonMaxSuppressionV5(boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal, scoreThresholdVal, softNmsSigmaVal), selectedIndices = _d.selectedIndices, selectedScores = _d.selectedScores;
return [selectedIndices, selectedScores];
}
});
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