open3d.ml.tf.ops

Functional API with operators.

These are the building blocks for the layers. See The layer API for an easy to use high level interface.

Functions

build_spatial_hash_table(points, radius, …)	Creates a spatial hash table meant as input for fixed_radius_search
continuous_conv(filters, out_positions, …)	Continuous convolution of two pointclouds.
continuous_conv_backprop_filter(filters, …)	Computes the backprop for the filter of the ContinuousConv
continuous_conv_transpose(filters, …[, …])	Continuous tranpose convolution of two pointclouds.
continuous_conv_transpose_backprop_filter(…)	Computes the backrop for the filter of the ContinuousConvTranspose
fixed_radius_search(points, queries, radius, …)	Computes the indices of all neighbors within a radius.
invert_neighbors_list(num_points, …[, name])	Inverts a neighbors list made of neighbors_index and neighbors_row_splits.
knn_search(points, queries, k, …[, …])	Computes the indices of k nearest neighbors.
nms(boxes, scores, nms_overlap_thresh[, name])	Performs non-maximum suppression of bounding boxes.
radius_search(points, queries, radii, …[, …])	Computes the indices and distances of all neighbours within a radius.
reduce_subarrays_sum(values, row_splits[, name])	Computes the sum for each subarray in a flat vector of arrays.
voxel_pooling(positions, features, voxel_size)	Spatial pooling for point clouds by combining points that fall into the same voxel bin.
voxel_pooling_grad(positions, features, …)	Gradient for features in VoxelPooling.
voxelize(points, row_splits, voxel_size, …)	Voxelization for point clouds.