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57 changes: 57 additions & 0 deletions
57
...image-classification/src/main/scala/com/examples/SparkImageClassificationTranslator.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,57 @@ | ||
| /* | ||
| * Copyright 2022 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at | ||
| * | ||
| * http://aws.amazon.com/apache2.0/ | ||
| * | ||
| * or in the "license" file accompanying this file. This file 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 com.examples | ||
|
|
||
| import ai.djl.Model | ||
| import ai.djl.modality.Classifications | ||
| import ai.djl.modality.cv.transform.{Resize, ToTensor} | ||
| import ai.djl.ndarray.{NDList, NDManager} | ||
| import ai.djl.ndarray.types.{DataType, Shape} | ||
| import ai.djl.translate.{Batchifier, Pipeline, Translator, TranslatorContext} | ||
| import ai.djl.util.Utils | ||
| import org.apache.spark.ml.image.ImageSchema | ||
| import org.apache.spark.sql.Row | ||
|
|
||
| import java.util | ||
|
|
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| // Translator: a class used to do preprocessing and post processing | ||
| class SparkImageClassificationTranslator extends Translator[Row, Classifications] { | ||
|
|
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| private var classes: java.util.List[String] = new util.ArrayList[String]() | ||
| private val pipeline: Pipeline = new Pipeline() | ||
| .add(new Resize(224, 224)) | ||
| .add(new ToTensor()) | ||
|
|
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| override def prepare(manager: NDManager, model: Model): Unit = { | ||
| classes = Utils.readLines(model.getArtifact("synset.txt").openStream()) | ||
| } | ||
|
|
||
| override def processInput(ctx: TranslatorContext, row: Row): NDList = { | ||
| val height = ImageSchema.getHeight(row) | ||
| val width = ImageSchema.getWidth(row) | ||
| val channel = ImageSchema.getNChannels(row) | ||
| var image = ctx.getNDManager.create(ImageSchema.getData(row), new Shape(height, width, channel)).toType(DataType.UINT8, true) | ||
| // BGR to RGB | ||
| image = image.flip(2) | ||
| pipeline.transform(new NDList(image)) | ||
| } | ||
|
|
||
| // Deal with the output.，NDList contains output result, usually one or more NDArray(s). | ||
| override def processOutput(ctx: TranslatorContext, list: NDList): Classifications = { | ||
| var probabilitiesNd = list.singletonOrThrow | ||
| probabilitiesNd = probabilitiesNd.softmax(0) | ||
| new Classifications(classes, probabilitiesNd) | ||
| } | ||
|
|
||
| override def getBatchifier: Batchifier = Batchifier.STACK | ||
| } |
63 changes: 63 additions & 0 deletions
63
apache-spark/spark3.0/image-classification/src/main/scala/com/examples/SparkJavaModel.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,63 @@ | ||
| /* | ||
| * Copyright 2022 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at | ||
| * | ||
| * http://aws.amazon.com/apache2.0/ | ||
| * | ||
| * or in the "license" file accompanying this file. This file 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 com.examples; | ||
|
|
||
| import ai.djl.MalformedModelException; | ||
| import ai.djl.inference.Predictor; | ||
| import ai.djl.modality.Classifications; | ||
| import ai.djl.repository.zoo.Criteria; | ||
| import ai.djl.repository.zoo.ModelNotFoundException; | ||
| import ai.djl.repository.zoo.ZooModel; | ||
| import ai.djl.training.util.ProgressBar; | ||
| import org.apache.spark.sql.Row; | ||
|
|
||
| import java.io.IOException; | ||
| import java.io.Serializable; | ||
|
|
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| public class SparkJavaModel implements Serializable { | ||
|
|
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| private static final long serialVersionUID = 123456789L; | ||
|
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| private String url; | ||
| private ZooModel<Row, Classifications> model; | ||
|
|
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| public SparkJavaModel(String url) { | ||
| this.url = url; | ||
| } | ||
|
|
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| public String getUrl() { | ||
| return url; | ||
| } | ||
|
|
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| public void setUrl(String url) { | ||
| this.url = url; | ||
| } | ||
|
|
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| public static SparkJavaModel load(String url) { | ||
| return new SparkJavaModel(url); | ||
| } | ||
|
|
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| public Predictor<Row, Classifications> newPredictor() | ||
| throws ModelNotFoundException, MalformedModelException, IOException { | ||
| if (model == null) { | ||
| Criteria<Row, Classifications> criteria = Criteria.builder() | ||
| .setTypes(Row.class, Classifications.class) | ||
| .optModelUrls(url) | ||
| .optTranslator(new SparkImageClassificationTranslator()) | ||
| .optProgress(new ProgressBar()) | ||
| .build(); | ||
| model = criteria.loadModel(); | ||
| } | ||
| return model.newPredictor(); | ||
| } | ||
| } |
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