Applies the given transform to each of the images.
tf.raw_ops.ImageProjectiveTransformV3(
images, transforms, output_shape, fill_value, 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 fill_value.
Args | |
|---|---|
images
|
A Tensor. Must be one of the following types: uint8, int32, int64, half, 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].
|
fill_value
|
A Tensor of type float32.
float, the value to be filled when fill_mode is constant".
|
interpolation
|
A string. Interpolation method, "NEAREST" or "BILINEAR".
|
fill_mode
|
An optional string. Defaults to "CONSTANT".
Fill mode, "REFLECT", "WRAP", "CONSTANT", or "NEAREST".
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as images.
|