SegmentationModel (AistCV 4.5.3 API)

java.lang.Object
- org.opencv.dnn.Model
- - org.opencv.dnn.SegmentationModel

```
public class SegmentationModel
extends Model
```
This class represents high-level API for segmentation models SegmentationModel allows to set params for preprocessing input image. SegmentationModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and returns the class prediction for each pixel.

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

Constructor Summary

Constructors
Modifier	Constructor	Description
`protected`	`SegmentationModel(long addr)`
	`SegmentationModel(String model)`	Create segmentation model from network represented in one of the supported formats.
	`SegmentationModel(String model, String config)`	Create segmentation model from network represented in one of the supported formats.
	`SegmentationModel(Net network)`	Create model from deep learning network.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static SegmentationModel`	`__fromPtr__(long addr)`
`protected void`	`finalize()`
`void`	`segment(Mat frame, Mat mask)`	Given the `input` frame, create input blob, run net

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

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

- Constructor Detail
  - SegmentationModel
```
protected SegmentationModel(long addr)
```
  - SegmentationModel
```
public SegmentationModel(String model,
                         String config)
```
    Create segmentation 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.
  - SegmentationModel
```
public SegmentationModel(String model)
```
    Create segmentation 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.
  - SegmentationModel
```
public SegmentationModel(Net network)
```
    Create model from deep learning network.
    
    Parameters:
    
    network - Net object.
- Method Detail
  - __fromPtr__
```
public static SegmentationModel __fromPtr__(long addr)
```
  - segment
```
public void segment(Mat frame,
                    Mat mask)
```
    Given the input frame, create input blob, run net
    
    Parameters:
    
    mask - Allocated class prediction for each pixel
    
    frame - automatically generated
  - finalize
```
protected void finalize()
                 throws Throwable
```
    Overrides:
    
    finalize in class Model
    
    Throws:
    
    Throwable