org.tensorflow.op.image

Class DecodeGif

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.image.DecodeGif

All Implemented Interfaces:

Op, Operand<UInt8>

@Operator(group="image")
public final class DecodeGif
extends PrimitiveOp
implements Operand<UInt8>

Decode the frame(s) of a GIF-encoded image to a uint8 tensor.

GIF images with frame or transparency compression are not supported. On Linux and MacOS systems, convert animated GIFs from compressed to uncompressed by running:

convert $src.gif -coalesce $dst.gif

This op also supports decoding JPEGs and PNGs, though it is cleaner to use `tf.image.decode_image`.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<UInt8>	asOutput() Returns the symbolic handle of a tensor.
static DecodeGif	create(Scope scope, Operand<String> contents) Factory method to create a class wrapping a new DecodeGif operation.
Output<UInt8>	image() 4-D with shape `[num_frames, height, width, 3]`.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static DecodeGif create(Scope scope,
                               Operand<String> contents)

Factory method to create a class wrapping a new DecodeGif operation.

Parameters:

scope - current scope

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

Returns:

a new instance of DecodeGif

image

public Output<UInt8> image()

4-D with shape `[num_frames, height, width, 3]`. RGB channel order.

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)