c
com.intel.analytics.bigdl.transform.vision.image.label.roi
BatchSampler
Companion object BatchSampler
class BatchSampler extends Serializable
sample box from given parameters, and regard it as positive if it satisfies overlap constraints
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new
BatchSampler(maxSample: Int = 1, maxTrials: Int = 50, minScale: Double = 1, maxScale: Double = 1, minAspectRatio: Double = 1, maxAspectRatio: Double = 1, minOverlap: Option[Double] = None, maxOverlap: Option[Double] = None)
- maxSample
maximum random crop samples to be generated
- maxTrials
maximum trials, if exceed this number, give up anyway
- minScale
min scale
- maxScale
max scale
- minAspectRatio
min aspect ratio
- maxAspectRatio
max aspect ratio
- minOverlap
min overlap between sampled box and gt box
- maxOverlap
max overlap between sampled box and gt box
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- def sample(sourceBox: BoundingBox, target: RoiLabel, sampledBoxes: ArrayBuffer[BoundingBox]): Unit
- def satisfySampleConstraint(sampledBox: BoundingBox, target: RoiLabel): Boolean
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