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MtcnnServiceBenchmark.java
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MtcnnServiceBenchmark.java
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/*
* Copyright 2018 the original author or authors.
*
* 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.
*/
package net.tzolov.cv.mtcnn.beanchmark;
import java.io.IOException;
import net.tzolov.cv.mtcnn.FaceAnnotation;
import net.tzolov.cv.mtcnn.MtcnnService;
import org.datavec.image.loader.Java2DNativeImageLoader;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Level;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Threads;
import org.openjdk.jmh.runner.RunnerException;
import org.springframework.core.io.DefaultResourceLoader;
import static org.nd4j.linalg.indexing.NDArrayIndex.all;
import static org.nd4j.linalg.indexing.NDArrayIndex.point;
/**
* @author Christian Tzolov
*/
public class MtcnnServiceBenchmark {
@State(Scope.Benchmark)
public static class ExecutionPlan {
public MtcnnService mtcnnService;
public INDArray image;
@Setup(Level.Trial)
public void setUp() throws IOException {
Nd4j.ENFORCE_NUMERICAL_STABILITY = false;
mtcnnService = new MtcnnService(30, 0.709, new double[] { 0.6, 0.7, 0.7 });
image = new Java2DNativeImageLoader().asMatrix(
new DefaultResourceLoader().getResource("classpath:/VikiMaxiAdi.jpg").getInputStream())
.get(point(0), all(), all(), all()).dup();
}
}
@Fork(value = 1, warmups = 1)
@Benchmark
@BenchmarkMode(Mode.AverageTime)
@Threads(value = 1)
public void faceDetect(ExecutionPlan plan) throws IOException {
FaceAnnotation[] faceAnnotations = plan.mtcnnService.faceDetection(plan.image);
}
public static void main(String[] args) throws IOException, RunnerException {
org.openjdk.jmh.Main.main(args);
}
}