org.bytedeco.javacpp

Class tensorflow.DecodeJpeg

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.DecodeJpeg

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.DecodeJpeg
extends Pointer

Decode 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. This op also supports decoding PNGs and non-animated GIFs since the interface is the same, though it is cleaner to use tf.image.decode_image. Arguments: * scope: A Scope object * contents: 0-D. The JPEG-encoded image. Optional attributes (see Attrs): * channels: Number of color channels for the decoded image. * ratio: Downscaling ratio. * fancy_upscaling: If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only). * try_recover_truncated: If true try to recover an image from truncated input. * acceptable_fraction: The minimum required fraction of lines before a truncated input is accepted. * dct_method: 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.) Returns: * Output: 3-D with shape [height, width, channels]..

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.DecodeJpeg.Attrs Optional attribute setters for DecodeJpeg

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
DecodeJpeg(Pointer p) Pointer cast constructor.
DecodeJpeg(tensorflow.Scope scope, tensorflow.Input contents)
DecodeJpeg(tensorflow.Scope scope, tensorflow.Input contents, tensorflow.DecodeJpeg.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.DecodeJpeg.Attrs	AcceptableFraction(float x)
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.DecodeJpeg.Attrs	Channels(long x)
static tensorflow.DecodeJpeg.Attrs	DctMethod(BytePointer x)
static tensorflow.DecodeJpeg.Attrs	DctMethod(String x)
static tensorflow.DecodeJpeg.Attrs	FancyUpscaling(boolean x)
tensorflow.Output	image()
tensorflow.DecodeJpeg	image(tensorflow.Output image)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.DecodeJpeg	operation(tensorflow.Operation operation)
static tensorflow.DecodeJpeg.Attrs	Ratio(long x)
static tensorflow.DecodeJpeg.Attrs	TryRecoverTruncated(boolean x)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

DecodeJpeg

public DecodeJpeg(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

DecodeJpeg

public DecodeJpeg(@Const @ByRef
                  tensorflow.Scope scope,
                  @ByVal
                  tensorflow.Input contents)

DecodeJpeg

public DecodeJpeg(@Const @ByRef
                  tensorflow.Scope scope,
                  @ByVal
                  tensorflow.Input contents,
                  @Const @ByRef
                  tensorflow.DecodeJpeg.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

Channels

@ByVal
public static tensorflow.DecodeJpeg.Attrs Channels(@Cast(value="tensorflow::int64")
                                                           long x)

Ratio

@ByVal
public static tensorflow.DecodeJpeg.Attrs Ratio(@Cast(value="tensorflow::int64")
                                                        long x)

FancyUpscaling

@ByVal
public static tensorflow.DecodeJpeg.Attrs FancyUpscaling(@Cast(value="bool")
                                                                 boolean x)

TryRecoverTruncated

@ByVal
public static tensorflow.DecodeJpeg.Attrs TryRecoverTruncated(@Cast(value="bool")
                                                                      boolean x)

AcceptableFraction

@ByVal
public static tensorflow.DecodeJpeg.Attrs AcceptableFraction(float x)

DctMethod

@ByVal
public static tensorflow.DecodeJpeg.Attrs DctMethod(@tensorflow.StringPiece
                                                            BytePointer x)

DctMethod

@ByVal
public static tensorflow.DecodeJpeg.Attrs DctMethod(@tensorflow.StringPiece
                                                            String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.DecodeJpeg operation(tensorflow.Operation operation)

image

@ByRef
public tensorflow.Output image()

image

public tensorflow.DecodeJpeg image(tensorflow.Output image)