ImageFeature

Instance Constructors

new ImageFeature(bytes: Array[Byte], label: Any = null, uri: String = null)

Create ImageFeature from original image in byte array, label and uri
Create ImageFeature from original image in byte array, label and uri
bytes
image file in bytes
label
label
uri
image uri
new ImageFeature()

Value Members

final def !=(arg0: Any): Boolean

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

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

Definition Classes
AnyRef → Any
def apply[T](key: String): T
final def asInstanceOf[T0]: T0

Definition Classes
Any
def bytes(): Array[Byte]

image file in bytes
def clear(): Unit

clear ImageFeature
def clone(): ImageFeature

Definition Classes
ImageFeature → AnyRef
def contains(key: String): Boolean
def copyTo[T](storage: Array[T], offset: Int, floatKey: String = ImageFeature.floats, toRGB: Boolean = true, greyToRGB: Boolean = false)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

copy the float array to a storage
copy the float array to a storage
storage
destination array
offset
offset to copy
floatKey
key that maps float array
toRGB
BGR to RGB
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] )
def floats(key: String = ImageFeature.floats): Array[Float]

image pixels in float array
image pixels in float array
key
key that maps float array
returns
float array
def getChannel(): Int

get current channel
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getHeight(): Int

get current height
def getImInfo(): Tensor[Float]

imInfo is a tensor that contains height, width, scaleInHeight, scaleInWidth e.g.
imInfo is a tensor that contains height, width, scaleInHeight, scaleInWidth e.g. it is used in SSD and Faster-RCNN to post process the roi detection
def getLabel[T](implicit arg0: ClassTag[T]): T

get label from ImageFeature
def getOriginalChannel: Int

get original channel
def getOriginalHeight: Int

get original height
def getOriginalSize: (Int, Int, Int)

get original image size in (height, width, channel)
get original image size in (height, width, channel)
returns
(height, width, channel)
def getOriginalWidth: Int

get original width
def getSize: (Int, Int, Int)

get current image size in (height, width, channel)
get current image size in (height, width, channel)
returns
(height, width, channel)
def getWidth(): Int

get current width
def hasLabel(): Boolean

whether this ImageFeature contains label
def hashCode(): Int

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

Definition Classes
Any
var isValid: Boolean

whether this image feature is valid
def keys(): Set[String]
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def opencvMat(): OpenCVMat

get opencv mat from ImageFeature, note that it may be empty if it is released
def predict(key: String = ImageFeature.predict): Any

get prediction result from ImageFeature
get prediction result from ImageFeature
key
key that maps prediction result
def setLabel(labelMap: Map[String, Float]): Unit

set label for imagefeature from label map
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def toTensor(floatKey: String, toChw: Boolean = true): Tensor[Float]

Convert ImageFeature to image tensor
Convert ImageFeature to image tensor
floatKey
key that maps the float array
toChw
transpose the image from hwc to chw
returns
tensor that represents an image
def update(key: String, value: Any): Unit
def uri(): String

get uri from ImageFeature
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 ImageFeature | package image

class ImageFeature extends Serializable

Instance Constructors

new ImageFeature(bytes: Array[Byte], label: Any = null, uri: String = null)

new ImageFeature()

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def apply[T](key: String): T

final def asInstanceOf[T0]: T0

def bytes(): Array[Byte]

def clear(): Unit

def clone(): ImageFeature

def contains(key: String): Boolean

def copyTo[T](storage: Array[T], offset: Int, floatKey: String = ImageFeature.floats, toRGB: Boolean = true, greyToRGB: Boolean = false)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def floats(key: String = ImageFeature.floats): Array[Float]

def getChannel(): Int

final def getClass(): Class[_]

def getHeight(): Int

def getImInfo(): Tensor[Float]

def getLabel[T](implicit arg0: ClassTag[T]): T

def getOriginalChannel: Int

def getOriginalHeight: Int

def getOriginalSize: (Int, Int, Int)

def getOriginalWidth: Int

def getSize: (Int, Int, Int)

def getWidth(): Int

def hasLabel(): Boolean

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

var isValid: Boolean

def keys(): Set[String]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def opencvMat(): OpenCVMat

def predict(key: String = ImageFeature.predict): Any

def setLabel(labelMap: Map[String, Float]): Unit

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

def toString(): String

def toTensor(floatKey: String, toChw: Boolean = true): Tensor[Float]

def update(key: String, value: Any): Unit

def uri(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped