Class ImageSummary

java.lang.Object
org.tensorflow.op.RawOp
org.tensorflow.op.summary.ImageSummary
All Implemented Interfaces:
Shaped, Op, Operand<TString>

@Operator(group="summary") public final class ImageSummary extends RawOp implements Operand<TString>
Outputs a Summary protocol buffer with images. The summary has up to max_images summary values containing images. The images are built from tensor which must be 4-D with shape [batch_size, height, width, channels] and where channels can be:
  • 1: tensor is interpreted as Grayscale.
  • 3: tensor is interpreted as RGB.
  • 4: tensor is interpreted as RGBA.

The images have the same number of channels as the input tensor. For float input, the values are normalized one image at a time to fit in the range [0, 255]. uint8 values are unchanged. The op uses two different normalization algorithms:

  • If the input values are all positive, they are rescaled so the largest one is 255.

  • If any input value is negative, the values are shifted so input value 0.0 is at 127. They are then rescaled so that either the smallest value is 0, or the largest one is 255.

The tag argument is a scalar Tensor of type string. It is used to build the tag of the summary values:

  • If max_images is 1, the summary value tag is 'tag/image'.
  • If max_images is greater than 1, the summary value tags are generated sequentially as 'tag/image/0', 'tag/image/1', etc.

The bad_color argument is the color to use in the generated images for non-finite input values. It is a uint8 1-D tensor of length channels. Each element must be in the range [0, 255] (It represents the value of a pixel in the output image). Non-finite values in the input tensor are replaced by this tensor in the output image. The default value is the color red.

  • Field Details

  • Constructor Details

    • ImageSummary

      public ImageSummary(Operation operation)
  • Method Details

    • create

      @Endpoint(describeByClass=true) public static ImageSummary create(Scope scope, Operand<TString> tag, Operand<? extends TNumber> tensor, ImageSummary.Options... options)
      Factory method to create a class wrapping a new ImageSummary operation.
      Parameters:
      scope - current scope
      tag - Scalar. Used to build the tag attribute of the summary values.
      tensor - 4-D of shape [batch_size, height, width, channels] where channels is 1, 3, or 4.
      options - carries optional attribute values
      Returns:
      a new instance of ImageSummary
    • maxImages

      public static ImageSummary.Options maxImages(Long maxImages)
      Sets the maxImages option.
      Parameters:
      maxImages - Max number of batch elements to generate images for.
      Returns:
      this Options instance.
    • badColor

      public static ImageSummary.Options badColor(Tensor badColor)
      Sets the badColor option.
      Parameters:
      badColor - Color to use for pixels with non-finite values.
      Returns:
      this Options instance.
    • summary

      public Output<TString> summary()
      Gets summary. Scalar. Serialized Summary protocol buffer.
      Returns:
      summary.
    • asOutput

      public Output<TString> asOutput()
      Description copied from interface: Operand
      Returns the symbolic handle of the tensor.

      Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

      Specified by:
      asOutput in interface Operand<TString>
      See Also: