tf.raw_ops.ImageProjectiveTransformV3

Stay organized with collections Save and categorize content based on your preferences.

Applies the given transform to each of the images.

View aliases

Compat aliases for migration

tf.compat.v1.raw_ops.ImageProjectiveTransformV3

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), wherek = 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, 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].
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.

tf.raw_ops.ImageProjectiveTransformV3 | TensorFlow v2.16.1 (original) (raw)

View aliases