tf.compat.v1.extract_image_patches

Extract patches from images and put them in the "depth" output dimension.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.image.extract_image_patches

tf.compat.v1.extract_image_patches(
    images, ksizes=None, strides=None, rates=None, padding=None, name=None,
    sizes=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 with patch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1), followed by subsampling them spatially by a factor of rates. This is equivalent to rate 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.