tf.raw_ops.ImageProjectiveTransformV2
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, 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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ImageProjectiveTransformV2