Randomly crop `image`.
`size` is a 1-D int64 tensor with 2 elements representing the crop height and width. The values must be non negative.
This Op picks a random location in `image` and crops a `height` by `width` rectangle from that location. The random location is picked so the cropped area will fit inside the original image.
Nested Classes
class | RandomCrop.Options | Optional attributes for RandomCrop
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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 <T extends TNumber> RandomCrop<T> | |
Output<T> |
output()
3-D of shape `[crop_height, crop_width, channels].`
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static RandomCrop.Options |
seed(Long seed)
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static RandomCrop.Options |
seed2(Long seed2)
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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 RandomCrop<T> create (Scope scope, Operand<T> image, Operand<TInt64> size, Options... options)
Factory method to create a class wrapping a new RandomCrop operation.
Parameters
scope | current scope |
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image | 3-D of shape `[height, width, channels]`. |
size | 1-D of length 2 containing: `crop_height`, `crop_width`.. |
options | carries optional attributes values |
Returns
- a new instance of RandomCrop
public static RandomCrop.Options seed (Long seed)
Parameters
seed | If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. |
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public static RandomCrop.Options seed2 (Long seed2)
Parameters
seed2 | An second seed to avoid seed collision. |
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