MatToTensor

Instance Constructors

new MatToTensor(toRGB: Boolean = false, tensorKey: String = ImageFeature.imageTensor, shareBuffer: Boolean = true, greyToRGB: Boolean = false)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

toRGB
BGR to RGB (default is BGR)
tensorKey
key to store transformed tensor
shareBuffer
use same memory for the output tensors, default is true
greyToRGB
convert grey image to RGB, default is false

Value Members

final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def !=(arg0: Any): Boolean

Definition Classes
Any
final def ##(): Int

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

Definition Classes
FeatureTransformer → Transformer
def ->(other: FeatureTransformer): FeatureTransformer

Definition Classes
FeatureTransformer
final def ==(arg0: AnyRef): Boolean

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

Definition Classes
Any
def apply(imageFrame: ImageFrame): ImageFrame

Definition Classes
FeatureTransformer
def apply(prev: Iterator[ImageFeature]): Iterator[ImageFeature]

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

Apply this transformer to rdd
Apply this transformer to rdd
dataset

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[ImageFeature, ImageFeature]

Definition Classes
Transformer
def enableIgnoreException(): MatToTensor.this.type

catch the exception of the transformer to avoid crashing.
catch the exception of the transformer to avoid crashing.

Definition Classes
FeatureTransformer
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
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def setOutKey(key: String): MatToTensor.this.type

set the output key to store current transformed result if the key is not set, or same as default, then the transformed result will be overwritted by the following transformer
set the output key to store current transformed result if the key is not set, or same as default, then the transformed result will be overwritted by the following transformer
key
output key

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

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def transform(feature: ImageFeature): ImageFeature

transform feature
transform feature
feature
ImageFeature
returns
ImageFeature

Definition Classes
MatToTensor → FeatureTransformer
def transformMat(feature: ImageFeature): Unit

transform mat
transform mat

Attributes
protected
Definition Classes
FeatureTransformer
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( ... )

class MatToTensor[T] extends FeatureTransformer

Instance Constructors

new MatToTensor(toRGB: Boolean = false, tensorKey: String = ImageFeature.imageTensor, shareBuffer: Boolean = true, greyToRGB: Boolean = false)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

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

def ->(other: FeatureTransformer): FeatureTransformer

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def apply(imageFrame: ImageFrame): ImageFrame

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

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

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def cloneTransformer(): Transformer[ImageFeature, ImageFeature]

def enableIgnoreException(): MatToTensor.this.type

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

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def setOutKey(key: String): MatToTensor.this.type

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

def toString(): String

def transform(feature: ImageFeature): ImageFeature

def transformMat(feature: ImageFeature): Unit

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from FeatureTransformer

Inherited from Transformer[ImageFeature, ImageFeature]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped