roi

Type Members

1. class BatchSampler extends Serializable

   sample box from given parameters, and regard it as positive if it satisfies overlap constraints

2. class RandomSampler extends Crop

   Random sample a bounding box given some constraints and crop the image This is used in SSD training augmentation

3. case class RoiHFlip(normalized: Boolean = true) extends FeatureTransformer with Product with Serializable

   horizontally flip the roi

4. case class RoiLabel(classes: Tensor[Float], bboxes: Tensor[Float], masks: Array[SegmentationMasks] = null) extends Product with Serializable

   image target with classes and bounding boxes

5. case class RoiNormalize() extends FeatureTransformer with Product with Serializable

   Normalize Roi to [0, 1]

6. case class RoiProject(needMeetCenterConstraint: Boolean = true) extends FeatureTransformer with Product with Serializable

   Project gt boxes onto the coordinate system defined by image boundary

7. case class RoiResize(normalized: Boolean = false) extends FeatureTransformer with Product with Serializable

   resize the roi according to scale