com.intel.analytics.zoo.feature.image.ImagePixelNormalizer.scala Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of analytics-zoo-SPARK_1.6 Show documentation

The newest version!

/*
 * Copyright 2018 Analytics Zoo Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package com.intel.analytics.zoo.feature.image

import com.intel.analytics.bigdl.transform.vision.image.ImageFeature
import com.intel.analytics.bigdl.transform.vision.image.augmentation

/**
 * Pixel level normalizer, data(i) = data(i) - mean(i)
 *
 * @param means pixel level mean, following H * W * C order
 */
class ImagePixelNormalizer(means: Array[Float]) extends ImageProcessing {

  private val internalCrop = new augmentation.PixelNormalizer(means)
  override def apply(prev: Iterator[ImageFeature]): Iterator[ImageFeature] = {
    internalCrop.apply(prev)
  }

  override def transformMat(feature: ImageFeature): Unit = {
    internalCrop.transformMat(feature)
  }
}

object ImagePixelNormalizer {
  def apply(means: Array[Float]): ImagePixelNormalizer = new ImagePixelNormalizer(means)
}