ClassificationModel (OpenCV 4.3.0 Java documentation)

java.lang.Object
- org.opencv.dnn.Net
- - org.opencv.dnn.Model
  - - org.opencv.dnn.ClassificationModel

```
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.

Field Summary
- Fields inherited from class org.opencv.dnn.Net
  nativeObj

Constructor Summary

Constructors
Modifier	Constructor	Description
`protected`	`ClassificationModel(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.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static ClassificationModel`	`__fromPtr__(long addr)`
`void`	`classify(Mat frame, int[] classId, float[] conf)`
`protected void`	`finalize()`

Methods inherited from class org.opencv.dnn.Model
predict, setInputCrop, setInputMean, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRB

Methods inherited from class org.opencv.dnn.Net
connect, dump, dumpToFile, empty, enableFusion, forward, forward, forward, forward, forward, getFLOPS, getFLOPS, getFLOPS, getFLOPS, getLayer, getLayerId, getLayerNames, getLayersCount, getLayerTypes, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getNativeObjAddr, getParam, getParam, getPerfProfile, getUnconnectedOutLayers, getUnconnectedOutLayersNames, readFromModelOptimizer, readFromModelOptimizer, setHalideScheduler, setInput, setInput, setInput, setInput, setInputShape, setInputsNames, setParam, setPreferableBackend, setPreferableTarget

Methods inherited from class java.lang.Object
clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ClassificationModel
```
protected ClassificationModel(long addr)
```
  - ClassificationModel
```
public ClassificationModel(Net network)
```
    Create model from deep learning network.
    
    Parameters:
    
    network - Net object.
  - 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 of model and config arguments does not matter.
    
    Parameters:
    
    model - Binary file contains trained weights.
    
    config - Text file contains network configuration.
  - ClassificationModel
```
public ClassificationModel(java.lang.String model)
```
    Create classification model from network represented in one of the supported formats. An order of model and config arguments does not matter.
    
    Parameters:
    
    model - Binary file contains trained weights.
- Method Detail
  - __fromPtr__
```
public static ClassificationModel __fromPtr__(long addr)
```
  - classify
```
public void classify(Mat frame,
                     int[] classId,
                     float[] conf)
```
  - finalize
```
protected void finalize()
                 throws java.lang.Throwable
```
    Overrides:
    
    finalize in class Model
    
    Throws:
    
    java.lang.Throwable