/**
|
* @license
|
* Copyright 2020 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.
|
* =============================================================================
|
*/
|
|
import {KernelConfig, NonMaxSuppressionV3, NonMaxSuppressionV3Attrs, NonMaxSuppressionV3Inputs, scalar} from '@tensorflow/tfjs';
|
|
import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
|
|
export const nonMaxSuppressionV3Config: KernelConfig = {
|
kernelName: NonMaxSuppressionV3,
|
backendName: 'tensorflow',
|
kernelFunc: (args) => {
|
const {boxes, scores} = args.inputs as NonMaxSuppressionV3Inputs;
|
const backend = args.backend as NodeJSKernelBackend;
|
const {maxOutputSize, iouThreshold, scoreThreshold} =
|
args.attrs as unknown as NonMaxSuppressionV3Attrs;
|
|
const opAttrs = [createTensorsTypeOpAttr('T', boxes.dtype)];
|
|
const maxOutputSizeTensor = scalar(maxOutputSize, 'int32');
|
const iouThresholdTensor = scalar(iouThreshold);
|
const scoreThresholdTensor = scalar(scoreThreshold);
|
const res = backend.executeSingleOutput(NonMaxSuppressionV3, opAttrs, [
|
boxes, scores, maxOutputSizeTensor, iouThresholdTensor,
|
scoreThresholdTensor
|
]);
|
maxOutputSizeTensor.dispose();
|
iouThresholdTensor.dispose();
|
scoreThresholdTensor.dispose();
|
return res;
|
}
|
};
|