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

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Big Data AI platform for distributed TensorFlow and PyTorch on Apache Spark.

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/*
 * 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.dataset.{Sample, Transformer}
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import com.intel.analytics.bigdl.transform.vision.image.ImageFeature

import scala.reflect.ClassTag

class ImageFeatureToSample[T: ClassTag]()(implicit ev: TensorNumeric[T])
  extends Transformer[ImageFeature, Sample[T]] {

  override def apply(prev: Iterator[ImageFeature]): Iterator[Sample[T]] = {
    prev.map(_[Sample[T]](ImageFeature.sample))
  }
}

object ImageFeatureToSample {
  def apply[T: ClassTag]()
    (implicit ev: TensorNumeric[T]): ImageFeatureToSample[T] =
    new ImageFeatureToSample()
}