Applies the given transform to each of the images.
tf.raw_ops.ImageProjectiveTransformV2(
images,
transforms,
output_shape,
interpolation,
fill_mode='CONSTANT',
name=None
)
If one row of transforms
is [a0, a1, a2, b0, b1, b2, c0, c1]
, then it maps
the output point (x, y)
to a transformed input point
(x', y') = ((a0 x + a1 y + a2) / k, (b0 x + b1 y + b2) / k)
, where
k = c0 x + c1 y + 1
. If the transformed point lays outside of the input
image, the output pixel is set to 0.
Args |
images
|
A Tensor . Must be one of the following types: uint8 , int32 , int64 , half , bfloat16 , float32 , float64 .
4-D with shape [batch, height, width, channels] .
|
transforms
|
A Tensor of type float32 .
2-D Tensor, [batch, 8] or [1, 8] matrix, where each row corresponds to a 3 x 3
projective transformation matrix, with the last entry assumed to be 1. If there
is one row, the same transformation will be applied to all images.
|
output_shape
|
A Tensor of type int32 .
1-D Tensor [new_height, new_width].
|
interpolation
|
A string . Interpolation method, "NEAREST" or "BILINEAR".
|
fill_mode
|
An optional string . Defaults to "CONSTANT" .
Fill mode, "REFLECT", "WRAP", or "CONSTANT".
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor . Has the same type as images .
|