org.tensorflow.op.core

Class DecodeAndCropJpeg

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.DecodeAndCropJpeg

All Implemented Interfaces:

Op, Operand<UInt8>

@Operator
public final class DecodeAndCropJpeg
extends PrimitiveOp
implements Operand<UInt8>

Decode and Crop a JPEG-encoded image to a uint8 tensor.

The attr `channels` indicates the desired number of color channels for the decoded image.

Accepted values are:

• 0: Use the number of channels in the JPEG-encoded image.
• 1: output a grayscale image.
• 3: output an RGB image.

If needed, the JPEG-encoded image is transformed to match the requested number of color channels.

The attr `ratio` allows downscaling the image by an integer factor during decoding. Allowed values are: 1, 2, 4, and 8. This is much faster than downscaling the image later.

It is equivalent to a combination of decode and crop, but much faster by only decoding partial jpeg image.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	DecodeAndCropJpeg.Options Optional attributes for DecodeAndCropJpeg

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static DecodeAndCropJpeg.Options	acceptableFraction(Float acceptableFraction)
Output<UInt8>	asOutput() Returns the symbolic handle of a tensor.
static DecodeAndCropJpeg.Options	channels(Long channels)
static DecodeAndCropJpeg	create(Scope scope, Operand<String> contents, Operand<Integer> cropWindow, DecodeAndCropJpeg.Options... options) Factory method to create a class to wrap a new DecodeAndCropJpeg operation to the graph.
static DecodeAndCropJpeg.Options	dctMethod(String dctMethod)
static DecodeAndCropJpeg.Options	fancyUpscaling(Boolean fancyUpscaling)
Output<UInt8>	image() 3-D with shape `[height, width, channels]`..
static DecodeAndCropJpeg.Options	ratio(Long ratio)
static DecodeAndCropJpeg.Options	tryRecoverTruncated(Boolean tryRecoverTruncated)

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static DecodeAndCropJpeg create(Scope scope,
                                       Operand<String> contents,
                                       Operand<Integer> cropWindow,
                                       DecodeAndCropJpeg.Options... options)

Factory method to create a class to wrap a new DecodeAndCropJpeg operation to the graph.

Parameters:

scope - current graph scope

contents - 0-D. The JPEG-encoded image.

cropWindow - 1-D. The crop window: [crop_y, crop_x, crop_height, crop_width].

options - carries optional attributes values

Returns:

a new instance of DecodeAndCropJpeg

channels

public static DecodeAndCropJpeg.Options channels(Long channels)

Parameters:

channels - Number of color channels for the decoded image.

ratio

public static DecodeAndCropJpeg.Options ratio(Long ratio)

Parameters:

ratio - Downscaling ratio.

fancyUpscaling

public static DecodeAndCropJpeg.Options fancyUpscaling(Boolean fancyUpscaling)

Parameters:

fancyUpscaling - If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only).

tryRecoverTruncated

public static DecodeAndCropJpeg.Options tryRecoverTruncated(Boolean tryRecoverTruncated)

Parameters:

tryRecoverTruncated - If true try to recover an image from truncated input.

acceptableFraction

public static DecodeAndCropJpeg.Options acceptableFraction(Float acceptableFraction)

Parameters:

acceptableFraction - The minimum required fraction of lines before a truncated input is accepted.

dctMethod

public static DecodeAndCropJpeg.Options dctMethod(String dctMethod)

Parameters:

dctMethod - string specifying a hint about the algorithm used for decompression. Defaults to "" which maps to a system-specific default. Currently valid values are ["INTEGER_FAST", "INTEGER_ACCURATE"]. The hint may be ignored (e.g., the internal jpeg library changes to a version that does not have that specific option.)

image

public Output<UInt8> image()

3-D with shape `[height, width, channels]`..

asOutput

public Output<UInt8> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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<UInt8>

See Also:

OperationBuilder.addInput(Output)