Package org.opencv.dnn
Class ClassificationModel
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- org.opencv.dnn.Model
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- org.opencv.dnn.ClassificationModel
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public class ClassificationModel extends Model
This class represents high-level API for classification models. ClassificationModel allows to set params for preprocessing input image. ClassificationModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and return top-1 prediction.
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Constructor Summary
Constructors Modifier Constructor Description protectedClassificationModel(long addr)ClassificationModel(java.lang.String model)Create classification model from network represented in one of the supported formats.ClassificationModel(java.lang.String model, java.lang.String config)Create classification model from network represented in one of the supported formats.ClassificationModel(Net network)Create model from deep learning network.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static ClassificationModel__fromPtr__(long addr)voidclassify(Mat frame, int[] classId, float[] conf)protected voidfinalize()-
Methods inherited from class org.opencv.dnn.Model
getNativeObjAddr, predict, setInputCrop, setInputMean, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRB, setPreferableBackend, setPreferableTarget
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Constructor Detail
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ClassificationModel
protected ClassificationModel(long addr)
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ClassificationModel
public ClassificationModel(java.lang.String model, java.lang.String config)Create classification model from network represented in one of the supported formats. An order ofmodelandconfigarguments does not matter.- Parameters:
model- Binary file contains trained weights.config- Text file contains network configuration.
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ClassificationModel
public ClassificationModel(java.lang.String model)
Create classification model from network represented in one of the supported formats. An order ofmodelandconfigarguments does not matter.- Parameters:
model- Binary file contains trained weights.
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ClassificationModel
public ClassificationModel(Net network)
Create model from deep learning network.- Parameters:
network- Net object.
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Method Detail
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__fromPtr__
public static ClassificationModel __fromPtr__(long addr)
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classify
public void classify(Mat frame, int[] classId, float[] conf)
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