Eigen::TensorImagePatchOp< Rows, Cols, XprType > Class Template Reference

#include <contrib/Eigen/src/Tensor/TensorImagePatch.h>

Detailed Description

template<DenseIndex Rows, DenseIndex Cols, typename XprType>
class Eigen::TensorImagePatchOp< Rows, Cols, XprType >

Patch extraction specialized for image processing. This assumes that the input has at least 3 dimensions ordered as follows: 1st dimension: channels (of size d) 2nd dimension: rows (of size r) 3rd dimension: columns (of size c) There can be additional dimensions such as time (for video) or batch (for bulk processing) after the first 3. Calling the image patch code with patch_rows and patch_cols is equivalent to calling the regular patch extraction code with parameters d, patch_rows, patch_cols, and 1 for all the additional dimensions.

Inheritance diagram for Eigen::TensorImagePatchOp< Rows, Cols, XprType >:

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The documentation for this class was generated from the following files:

• /builds/libeigen/eigen/contrib/Eigen/src/Tensor/TensorForwardDeclarations.h
• /builds/libeigen/eigen/contrib/Eigen/src/Tensor/TensorImagePatch.h