com.intel.analytics.bigdl.transform.vision.image
RoiImageFeatureToBatch
Companion class RoiImageFeatureToBatch
object RoiImageFeatureToBatch extends Serializable
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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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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