Lighting

Lighting noise for data augmentation

Krizhevsky et al. proposed fancy PCA when training the famous Alex-Net in 2012 Fancy PCA alters the intensities of the RGB channels in training images For each training image, add the corresponding quantity to each RGB image pixel

Linear Supertypes

Transformer[LabeledBGRImage, LabeledBGRImage], Serializable, Serializable, AnyRef, Any

Instance Constructors

new Lighting()

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
def ->[C](other: Transformer[LabeledBGRImage, C]): Transformer[LabeledBGRImage, C]

Definition Classes
Transformer
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val alphastd: Float
def apply(prev: Iterator[LabeledBGRImage]): Iterator[LabeledBGRImage]

Definition Classes
Lighting → Transformer
def apply(dataset: RDD[LabeledBGRImage])(implicit evidence: ClassTag[LabeledBGRImage]): RDD[LabeledBGRImage]

Apply this transformer to rdd
Apply this transformer to rdd

Definition Classes
Transformer
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def cloneTransformer(): Transformer[LabeledBGRImage, LabeledBGRImage]

Definition Classes
Transformer
val eigval: Tensor[Float]
val eigvec: Tensor[Float]
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def lighting(input: Array[Float]): Unit
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Docs: object Lighting | package image

class Lighting extends Transformer[LabeledBGRImage, LabeledBGRImage]

Instance Constructors

new Lighting()

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

def ->[C](other: Transformer[LabeledBGRImage, C]): Transformer[LabeledBGRImage, C]

final def ==(arg0: Any): Boolean

val alphastd: Float

def apply(prev: Iterator[LabeledBGRImage]): Iterator[LabeledBGRImage]

def apply(dataset: RDD[LabeledBGRImage])(implicit evidence: ClassTag[LabeledBGRImage]): RDD[LabeledBGRImage]

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def cloneTransformer(): Transformer[LabeledBGRImage, LabeledBGRImage]

val eigval: Tensor[Float]

val eigvec: Tensor[Float]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def lighting(input: Array[Float]): Unit

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Transformer[LabeledBGRImage, LabeledBGRImage]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped