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Yelov8 Translator optimization (#2908)
* Yelov8 Translator optimization - Improved post-processing performance up to 40x by reducing expensive native calls - Additional argument 'maxBox' added to improve post-processing performance by reducing number of considered bounding boxes - Sunset file fixed,, previous version ignored first 4 rows, so recognized classes were 4 off. Adding 4 rows header fixes the problem. New headers pointing to ultralytics doc pages and original coco dataset page. * addressed PR comments - reformatted code - removed final * Refactor Yolov8 example 1. Fixes windows line return 2. Furthe reduce NDArray operations 3. Refactor example code 4. Add unittest for Yolov8Detection --------- Co-authored-by: Frank Liu <[email protected]>
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api/src/main/java/ai/djl/modality/cv/translator/YoloV8Translator.java
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/* | ||
* Copyright 2023 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 ai.djl.modality.cv.translator; | ||
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import ai.djl.modality.cv.output.DetectedObjects; | ||
import ai.djl.modality.cv.output.Rectangle; | ||
import ai.djl.ndarray.NDArray; | ||
import ai.djl.ndarray.NDList; | ||
import ai.djl.ndarray.types.DataType; | ||
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import java.util.ArrayList; | ||
import java.util.Map; | ||
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/** | ||
* A translator for YoloV8 models. This was tested with ONNX exported Yolo models. For details check | ||
* here: https://github.com/ultralytics/ultralytics | ||
*/ | ||
public class YoloV8Translator extends YoloV5Translator { | ||
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/** | ||
* Constructs an ImageTranslator with the provided builder. | ||
* | ||
* @param builder the data to build with | ||
*/ | ||
protected YoloV8Translator(Builder builder) { | ||
super(builder); | ||
} | ||
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/** | ||
* Creates a builder to build a {@code YoloV8Translator} with specified arguments. | ||
* | ||
* @param arguments arguments to specify builder options | ||
* @return a new builder | ||
*/ | ||
public static YoloV8Translator.Builder builder(Map<String, ?> arguments) { | ||
YoloV8Translator.Builder builder = new YoloV8Translator.Builder(); | ||
builder.configPreProcess(arguments); | ||
builder.configPostProcess(arguments); | ||
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return builder; | ||
} | ||
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@Override | ||
protected DetectedObjects processFromBoxOutput(NDList list) { | ||
NDArray features4OneImg = list.get(0); | ||
int sizeClasses = classes.size(); | ||
long sizeBoxes = features4OneImg.size(1); | ||
ArrayList<IntermediateResult> intermediateResults = new ArrayList<>(); | ||
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for (long b = 0; b < sizeBoxes; b++) { | ||
float maxClass = 0; | ||
int maxIndex = 0; | ||
for (int c = 4; c < sizeClasses; c++) { | ||
float classProb = features4OneImg.getFloat(c, b); | ||
if (classProb > maxClass) { | ||
maxClass = classProb; | ||
maxIndex = c; | ||
} | ||
} | ||
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if (maxClass > threshold) { | ||
float xPos = features4OneImg.getFloat(0, b); // center x | ||
float yPos = features4OneImg.getFloat(1, b); // center y | ||
float w = features4OneImg.getFloat(2, b); | ||
float h = features4OneImg.getFloat(3, b); | ||
Rectangle rect = | ||
new Rectangle(Math.max(0, xPos - w / 2), Math.max(0, yPos - h / 2), w, h); | ||
intermediateResults.add( | ||
new IntermediateResult(classes.get(maxIndex), maxClass, maxIndex, rect)); | ||
} | ||
} | ||
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return nms(intermediateResults); | ||
} | ||
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/** The builder for {@link YoloV8Translator}. */ | ||
public static class Builder extends YoloV5Translator.Builder { | ||
/** | ||
* Builds the translator. | ||
* | ||
* @return the new translator | ||
*/ | ||
@Override | ||
public YoloV8Translator build() { | ||
if (pipeline == null) { | ||
addTransform( | ||
array -> array.transpose(2, 0, 1).toType(DataType.FLOAT32, false).div(255)); | ||
} | ||
validate(); | ||
return new YoloV8Translator(this); | ||
} | ||
} | ||
} | ||
/* | ||
* Copyright 2023 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 ai.djl.modality.cv.translator; | ||
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import ai.djl.modality.cv.output.DetectedObjects; | ||
import ai.djl.modality.cv.output.Rectangle; | ||
import ai.djl.ndarray.NDArray; | ||
import ai.djl.ndarray.NDList; | ||
import ai.djl.ndarray.types.DataType; | ||
import ai.djl.ndarray.types.Shape; | ||
import ai.djl.translate.ArgumentsUtil; | ||
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import java.util.ArrayList; | ||
import java.util.Map; | ||
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/** | ||
* A translator for YoloV8 models. This was tested with ONNX exported Yolo models. For details check | ||
* here: https://github.com/ultralytics/ultralytics | ||
*/ | ||
public class YoloV8Translator extends YoloV5Translator { | ||
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private int maxBoxes; | ||
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/** | ||
* Constructs an ImageTranslator with the provided builder. | ||
* | ||
* @param builder the data to build with | ||
*/ | ||
protected YoloV8Translator(Builder builder) { | ||
super(builder); | ||
maxBoxes = builder.maxBox; | ||
} | ||
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/** | ||
* Creates a builder to build a {@code YoloV8Translator} with specified arguments. | ||
* | ||
* @param arguments arguments to specify builder options | ||
* @return a new builder | ||
*/ | ||
public static YoloV8Translator.Builder builder(Map<String, ?> arguments) { | ||
YoloV8Translator.Builder builder = new YoloV8Translator.Builder(); | ||
builder.configPreProcess(arguments); | ||
builder.configPostProcess(arguments); | ||
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return builder; | ||
} | ||
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/** {@inheritDoc} */ | ||
@Override | ||
protected DetectedObjects processFromBoxOutput(NDList list) { | ||
NDArray rawResult = list.get(0); | ||
NDArray reshapedResult = rawResult.transpose(); | ||
Shape shape = reshapedResult.getShape(); | ||
float[] buf = reshapedResult.toFloatArray(); | ||
int numberRows = Math.toIntExact(shape.get(0)); | ||
int nClasses = Math.toIntExact(shape.get(1)); | ||
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ArrayList<IntermediateResult> intermediateResults = new ArrayList<>(); | ||
// reverse order search in heap; searches through #maxBoxes for optimization when set | ||
for (int i = numberRows - 1; i > numberRows - maxBoxes; --i) { | ||
int index = i * nClasses; | ||
float maxClassProb = -1f; | ||
int maxIndex = -1; | ||
for (int c = 4; c < nClasses; c++) { | ||
float classProb = buf[index + c]; | ||
if (classProb > maxClassProb) { | ||
maxClassProb = classProb; | ||
maxIndex = c; | ||
} | ||
} | ||
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if (maxClassProb > threshold) { | ||
float xPos = buf[index]; // center x | ||
float yPos = buf[index + 1]; // center y | ||
float w = buf[index + 2]; | ||
float h = buf[index + 3]; | ||
Rectangle rect = | ||
new Rectangle(Math.max(0, xPos - w / 2), Math.max(0, yPos - h / 2), w, h); | ||
intermediateResults.add( | ||
new IntermediateResult( | ||
classes.get(maxIndex), maxClassProb, maxIndex, rect)); | ||
} | ||
} | ||
return nms(intermediateResults); | ||
} | ||
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/** The builder for {@link YoloV8Translator}. */ | ||
public static class Builder extends YoloV5Translator.Builder { | ||
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private int maxBox = 8400; | ||
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/** | ||
* Builds the translator. | ||
* | ||
* @return the new translator | ||
*/ | ||
@Override | ||
public YoloV8Translator build() { | ||
if (pipeline == null) { | ||
addTransform( | ||
array -> array.transpose(2, 0, 1).toType(DataType.FLOAT32, false).div(255)); | ||
} | ||
validate(); | ||
return new YoloV8Translator(this); | ||
} | ||
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/** {@inheritDoc} */ | ||
@Override | ||
protected void configPostProcess(Map<String, ?> arguments) { | ||
super.configPostProcess(arguments); | ||
maxBox = ArgumentsUtil.intValue(arguments, "maxBox", 8400); | ||
} | ||
} | ||
} |
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