Crop

abstract def generateRoi(feature: ImageFeature): BoundingBox

how to generate crop roi

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]

Apply this transformer to rdd

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def cloneTransformer(): Transformer[ImageFeature, ImageFeature]

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): Crop.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

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

def toString(): String

def transform(feature: ImageFeature): ImageFeature

transform feature

def transformMat(feature: ImageFeature): Unit

transform mat

final def wait(): Unit

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

final def wait(arg0: Long): Unit