Map the input array to new coordinates by interpolation..

Note that interpolation near boundaries differs from the scipy function, because we fixed an outstanding bug scipy/issues/2640.

Usage

op_image_map_coordinates(
  input,
  coordinates,
  order,
  fill_mode = "constant",
  fill_value = 0L
)

Arguments

input

The input array.

coordinates

The coordinates at which input is evaluated.

order

The order of the spline interpolation. The order must be 0 or 1. 0 indicates the nearest neighbor and 1 indicates the linear interpolation.

fill_mode

Points outside the boundaries of the input are filled according to the given mode. Available methods are "constant", "nearest", "wrap" and "mirror" and "reflect". Defaults to "constant".

"constant": (k k k k | a b c d | k k k k) The input is extended by filling all values beyond the edge with the same constant value k specified by fill_value.
"nearest": (a a a a | a b c d | d d d d) The input is extended by the nearest pixel.
"wrap": (a b c d | a b c d | a b c d) The input is extended by wrapping around to the opposite edge.
"mirror": (c d c b | a b c d | c b a b) The input is extended by mirroring about the edge.
"reflect": (d c b a | a b c d | d c b a) The input is extended by reflecting about the edge of the last pixel.

fill_value

Value used for points outside the boundaries of the input if fill_mode = "constant". Defaults to 0.

Value

Output image or batch of images.

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op_eye()
op_fft()
op_fft2()
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op_isinf()
op_isnan()
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op_less_equal()
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op_log2()
op_log_sigmoid()
op_log_softmax()
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op_logical_not()
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op_mean()
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op_nonzero()
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op_not_equal()
op_one_hot()
op_ones()
op_ones_like()
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op_qr()
op_quantile()
op_ravel()
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op_softmax()
op_softplus()
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op_sort()
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op_sum()
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op_take()
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op_vdot()
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op_vectorized_map()
op_vstack()
op_where()
op_while_loop()
op_zeros()
op_zeros_like()

Usage

Arguments

Value

See also