tf.raw_ops.ExtractImagePatches | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.ExtractImagePatches
Stay organized with collections Save and categorize content based on your preferences.
Extract patches from images and put them in the "depth" output dimension.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.ExtractImagePatches
tf.raw_ops.ExtractImagePatches(
images, ksizes, strides, rates, padding, name=None
)
| Args | |
|---|---|
| images | A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64, complex64, complex128, bool. 4-D Tensor with shape [batch, in_rows, in_cols, depth]. |
| ksizes | A list of ints that has length >= 4. The size of the sliding window for each dimension of images. |
| strides | A list of ints that has length >= 4. How far the centers of two consecutive patches are in the images. Must be: [1, stride_rows, stride_cols, 1]. |
| rates | A list of ints that has length >= 4. Must be: [1, rate_rows, rate_cols, 1]. This is the input stride, specifying how far two consecutive patch samples are in the input. Equivalent to extracting patches withpatch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1), followed by subsampling them spatially by a factor of rates. This is equivalent torate in dilated (a.k.a. Atrous) convolutions. |
| padding | A string from: "SAME", "VALID". The type of padding algorithm to use. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor. Has the same type as images. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.