Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
Detects whether an image is a BMP, GIF, JPEG, or PNG, and performs the appropriate operation to convert the input bytes string into a Tensor of type dtype.
NOTE: decode_gif returns a 4-D array [num_frames, height, width, 3], as opposed to decode_bmp, decode_jpeg and decode_png, which return 3-D arrays [height, width, num_channels]. Make sure to take this into account when constructing your graph if you are intermixing GIF files with BMP, JPEG, and/or PNG files. Alternately, set the expand_animations argument of this function to False, in which case the op will return 3-dimensional tensors and will truncate animated GIF files to the first frame.
NOTE: If the first frame of an animated GIF does not occupy the entire canvas (maximum frame width x maximum frame height), then it fills the unoccupied areas (in the first frame) with zeros (black). For frames after the first frame that does not occupy the entire canvas, it uses the previous frame to fill the unoccupied areas.
Nested Classes
| class | DecodeImage.Options | Optional attributes for DecodeImage
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Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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| static DecodeImage.Options |
channels(Long channels)
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| static <T extends TNumber> DecodeImage<T> |
create(Scope scope, Operand<TString> contents, Class<T> dtype, Options... options)
Factory method to create a class wrapping a new DecodeImage operation.
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| static DecodeImage<TUint8> |
create(Scope scope, Operand<TString> contents, Options... options)
Factory method to create a class wrapping a new DecodeImage operation using default output types.
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| static DecodeImage.Options |
expandAnimations(Boolean expandAnimations)
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| Output<T> |
image()
3-D with shape `[height, width, channels]` or 4-D with shape
`[frame, height, width, channels]`..
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
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.
public static DecodeImage.Options channels (Long channels)
Parameters
| channels | Number of color channels for the decoded image. |
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public static DecodeImage<T> create (Scope scope, Operand<TString> contents, Class<T> dtype, Options... options)
Factory method to create a class wrapping a new DecodeImage operation.
Parameters
| scope | current scope |
|---|---|
| contents | 0-D. The encoded image bytes. |
| dtype | The desired DType of the returned Tensor. |
| options | carries optional attributes values |
Returns
- a new instance of DecodeImage
public static DecodeImage<TUint8> create (Scope scope, Operand<TString> contents, Options... options)
Factory method to create a class wrapping a new DecodeImage operation using default output types.
Parameters
| scope | current scope |
|---|---|
| contents | 0-D. The encoded image bytes. |
| options | carries optional attributes values |
Returns
- a new instance of DecodeImage
public static DecodeImage.Options expandAnimations (Boolean expandAnimations)
Parameters
| expandAnimations | Controls the output shape of the returned op. If True, the returned op will produce a 3-D tensor for PNG, JPEG, and BMP files; and a 4-D tensor for all GIFs, whether animated or not. If, False, the returned op will produce a 3-D tensor for all file types and will truncate animated GIFs to the first frame. |
|---|
public Output<T> image ()
3-D with shape `[height, width, channels]` or 4-D with shape `[frame, height, width, channels]`..