class RoiMiniBatch extends MiniBatch[Float]
A batch of images with flattened RoiLabels the getTarget() returns a Table with key from 1 to batchSize. Each key in the table is mapped to a Table for the annotation of an image in the batch. The annotation table holds the annotation info for one image (assume the image has N detections). The annotation table has
Key Value RoiImageInfo.CLASSES the categories for each detections (see RoiLabel.clasees field) (1 x N), or (2 x N) Tensor[Float] RoiImageInfo.BBOXES the bboxes, (N x 4) Tensor[Float] RoiImageInfo.MASKS (Optional) the mask data, Array[Tensor[Float]\]. The outer array has N elements. The inner tensor holds the data for segmentation RoiImageInfo.ISCROWD Whether each detection is crowd. (1 x N) Tensor[Float]. -1: unknown, 0: not crowd, 1: is crowd RoiImageInfo.IMGINFO with shape (batchSize, 4), contains all images info (height, width, original height, original width)
- Alphabetic
- By Inheritance
- RoiMiniBatch
- MiniBatch
- Serializable
- Serializable
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
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
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
-
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
- Annotations
- @native()
-
def
getInput(): Activity
Get input in this MiniBatch.
-
def
getTarget(): Table
Get target in this MiniBatch
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- val imageInfo: Tensor[Float]
- val input: Tensor[Float]
- val isCrowd: Array[Tensor[Float]]
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
set(samples: Seq[Sample[Float]])(implicit ev: TensorNumeric[Float]): RoiMiniBatch.this.type
Replace the original content of the miniBatch with a set of Sample.
Replace the original content of the miniBatch with a set of Sample.
- samples
a set of Sample
- returns
self
- Definition Classes
- RoiMiniBatch → MiniBatch
-
def
size(): Int
Get the number of samples in this MiniBatch
Get the number of samples in this MiniBatch
- returns
size How many samples in this MiniBatch
- Definition Classes
- RoiMiniBatch → MiniBatch
-
def
slice(offset: Int, length: Int): MiniBatch[Float]
Slice this MiniBatch to a smaller MiniBatch with offset and length
Slice this MiniBatch to a smaller MiniBatch with offset and length
- offset
offset, counted from 1
- length
length
- returns
A smaller MiniBatch
- Definition Classes
- RoiMiniBatch → MiniBatch
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
- val target: Array[RoiLabel]
-
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
- @native() @throws( ... )
Deprecated Value Members
-
def
data(): Tensor[Float]
An deprecated function for single-input/single-target MiniBatch.
An deprecated function for single-input/single-target MiniBatch. You don't need to override this, because we have add a default implement to throw exception.
- Definition Classes
- MiniBatch
- Annotations
- @deprecated
- Deprecated
(Since version 0.2.0) Old interface, use getInput instead
-
def
labels(): Tensor[Float]
An deprecated function for single-input/single-target MiniBatch.
An deprecated function for single-input/single-target MiniBatch. You don't need to override this, because we have add a default implement to throw exception.
- Definition Classes
- MiniBatch
- Annotations
- @deprecated
- Deprecated
(Since version 0.2.0) Old interface, use getTarget instead