case class MaskRCNNParams(anchorSizes: Array[Float] = Array[Float](32, 64, 128, 256, 512), aspectRatios: Array[Float] = Array[Float](0.5f, 1.0f, 2.0f), anchorStride: Array[Float] = Array[Float](4, 8, 16, 32, 64), preNmsTopNTest: Int = 1000, postNmsTopNTest: Int = 1000, preNmsTopNTrain: Int = 2000, postNmsTopNTrain: Int = 2000, rpnNmsThread: Float = 0.7f, minSize: Int = 0, boxResolution: Int = 7, maskResolution: Int = 14, scales: Array[Float] = ..., samplingRatio: Int = 2, boxScoreThresh: Float = 0.05f, boxNmsThread: Float = 0.5f, maxPerImage: Int = 100, outputSize: Int = 1024, layers: Array[Int] = Array[Int](256, 256, 256, 256), dilation: Int = 1, useGn: Boolean = false) extends Product with Serializable
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Instance Constructors
- new MaskRCNNParams(anchorSizes: Array[Float] = Array[Float](32, 64, 128, 256, 512), aspectRatios: Array[Float] = Array[Float](0.5f, 1.0f, 2.0f), anchorStride: Array[Float] = Array[Float](4, 8, 16, 32, 64), preNmsTopNTest: Int = 1000, postNmsTopNTest: Int = 1000, preNmsTopNTrain: Int = 2000, postNmsTopNTrain: Int = 2000, rpnNmsThread: Float = 0.7f, minSize: Int = 0, boxResolution: Int = 7, maskResolution: Int = 14, scales: Array[Float] = ..., samplingRatio: Int = 2, boxScoreThresh: Float = 0.05f, boxNmsThread: Float = 0.5f, maxPerImage: Int = 100, outputSize: Int = 1024, layers: Array[Int] = Array[Int](256, 256, 256, 256), dilation: Int = 1, useGn: Boolean = false)
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final
def
##(): Int
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final
def
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- val anchorSizes: Array[Float]
- val anchorStride: Array[Float]
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final
def
asInstanceOf[T0]: T0
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- val aspectRatios: Array[Float]
- val boxNmsThread: Float
- val boxResolution: Int
- val boxScoreThresh: Float
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- val dilation: Int
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- val layers: Array[Int]
- val maskResolution: Int
- val maxPerImage: Int
- val minSize: Int
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- val outputSize: Int
- val postNmsTopNTest: Int
- val postNmsTopNTrain: Int
- val preNmsTopNTest: Int
- val preNmsTopNTrain: Int
- val rpnNmsThread: Float
- val samplingRatio: Int
- val scales: Array[Float]
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- val useGn: Boolean
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