YOLOV3.Builder (Deep Java Library 0.21.0 - model-zoo API)

java.lang.Object
- ai.djl.basicmodelzoo.cv.object_detection.yolo.YOLOV3.Builder

Enclosing class:: YOLOV3

public static final class YOLOV3.Builder
extends java.lang.Object

The Builder to construct a YOLOV3 object.

Constructor Summary

Constructors
Constructor Description

Builder()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`ai.djl.nn.Block`	`build()`	Builds a `YOLOV3` block.
`ai.djl.nn.Block`	`buildDarkNet()`	Builds a `Block` that represents the backbone of yolov3, which is called DarkNet53.
`YOLOV3.Builder`	`optBatchNormMomentum(float batchNormMomentum)`	Sets the momentum for batchNorm layer.
`YOLOV3.Builder`	`optDarkNetOutSize(int darkNetOutSize)`	Sets the out size of darkNet for testing.
`YOLOV3.Builder`	`optLeakyAlpha(float leakyAlpha)`	Sets the alpha for leakyRelu activation.
`YOLOV3.Builder`	`setNumClasses(int numClasses)`	Sets the number of classes for yolov3.

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

- Constructor Detail
  - Builder
```
public Builder()
```
- Method Detail
  - setNumClasses
```
public YOLOV3.Builder setNumClasses(int numClasses)
```
    Sets the number of classes for yolov3.
    
    Parameters:
    
    numClasses - the number of classes
    
    Returns:
    
    this Builder
  - optBatchNormMomentum
```
public YOLOV3.Builder optBatchNormMomentum(float batchNormMomentum)
```
    Sets the momentum for batchNorm layer.
    
    Parameters:
    
    batchNormMomentum - the momentum for batchNorm layer
    
    Returns:
    
    this Builder
  - optLeakyAlpha
```
public YOLOV3.Builder optLeakyAlpha(float leakyAlpha)
```
    Sets the alpha for leakyRelu activation.
    
    Parameters:
    
    leakyAlpha - the alpha for leakyRelu activation
    
    Returns:
    
    this Builder
  - optDarkNetOutSize
```
public YOLOV3.Builder optDarkNetOutSize(int darkNetOutSize)
```
    Sets the out size of darkNet for testing.
    
    Parameters:
    
    darkNetOutSize - the out size of darkNet
    
    Returns:
    
    this Builder
  - build
```
public ai.djl.nn.Block build()
```
    Builds a YOLOV3 block.
    
    Returns:
    
    a YOLOV3 block
  - buildDarkNet
```
public ai.djl.nn.Block buildDarkNet()
```
    Builds a Block that represents the backbone of yolov3, which is called DarkNet53. This can be used for testing and transfer learning.
    
    Returns:
    
    a Block that represents darkNet53