RoiImageFeatureToBatch

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1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def apply(width: Int, height: Int, batchSize: Int, transformer: FeatureTransformer, toRGB: Boolean = false): MTImageFeatureToBatch

   

   The transformer from ImageFeature to mini-batches, and extract ROI labels for segmentation if roi labels are set.

   The transformer from ImageFeature to mini-batches, and extract ROI labels for segmentation if roi labels are set. The sizes of the images must be the same.

   width

   width of the output images

   height

   height of the output images

   batchSize

   global batch size

   transformer

   pipeline for pre-processing

   toRGB

   if converted to RGB, default format is BGR

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9. def finalize(): Unit

   

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21. def withResize(batchSize: Int, transformer: FeatureTransformer, toRGB: Boolean = false, sizeDivisible: Int = 1): MTImageFeatureToBatch

    

    The transformer from ImageFeature to mini-batches, and extract ROI labels for segmentation if roi labels are set.

    The transformer from ImageFeature to mini-batches, and extract ROI labels for segmentation if roi labels are set. The sizes of the images can be different.

    batchSize

    global batch size

    transformer

    pipeline for pre-processing

    toRGB

    if converted to RGB, default format is BGR

    sizeDivisible

    when it's greater than 0, height and wide should be divisible by this size