* Returns a pointer to a piece of new memory of the given size in bytes * allocated from the pool. */

* Returns a pointer to a piece of new memory of the given size in bytes * allocated from the pool. */

* Returns a pointer to a piece of new memory of the given size in bytes * allocated from the pool. */

:param feature: [B, N, d] input features matrix :param interp_idx: [B, up_num_points, 1] nearest neighbour index :return: [B,

:param feature: [B, N, d] input features matrix :param pool_idx: [B, N', max_num] N' < N, N' is the selected position after pooling

Method Update

Method Update

Write ".ply" files Parameters ---------- filename : string the name of the file to which the data is saved. A '.ply' extensi

finds position of least significant unset bit */

finds position of least significant unset bit */

finds position of least significant unset bit */

Computes IoU from confusion matrices. :param confusions: ([..., n_c, n_c] np.int32). Can be any dimension, the confusion matrices sho

Constructor: takes a const ref to the matrix object with the data points

Constructor: takes a const ref to the matrix object with the data points

Constructor: takes a const ref to the matrix object with the data points

Deleted copy constructor*/

Deleted copy constructor*/

Deleted copy constructor*/

* KDTree constructor * * Refer to docs in README.md or online in https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimension (t

* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimensi

* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimensi

* KDTree constructor * * Refer to docs in README.md or online in https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimension (t

* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimensi

* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimensi

Constructor: takes a const ref to the vector of vectors object with the data points

Constructor

Constructor

Default constructor. Initializes a new pool. */

Default constructor. Initializes a new pool. */

Default constructor. Initializes a new pool. */

Constructor

Constructor

Note: The first argument (checks_IGNORED_) is ignored, but kept for compatibility with the FLANN interface */

Note: The first argument (checks_IGNORED_) is ignored, but kept for * compatibility with the FLANN interface */

Note: The first argument (checks_IGNORED_) is ignored, but kept for * compatibility with the FLANN interface */