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# ----------------------------------------------------------------------------
# - Open3D: www.open3d.org -
# ----------------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2018-2021 www.open3d.org
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
# ----------------------------------------------------------------------------
import numpy as np
import open3d as o3d
import pytest
import importlib
@pytest.mark.skipif(not o3d._build_config['BUILD_TENSORFLOW_OPS'],
reason='tf ops not built')
def test_tf_subsampling():
ops = importlib.import_module('open3d.ml.tf.ops')
points = np.array(range(21)).reshape(-1, 3).astype(np.float32)
sub_points = ops.grid_subsampling(points, 10).cpu().numpy()
sub_points_ref = np.array(
[[13.5, 14.5, 15.5], [18, 19, 20], [9, 10, 11], [3, 4, 5]],
dtype=np.float32)
sub_points = sub_points[sub_points[:, 0].argsort()]
sub_points_ref = sub_points_ref[sub_points_ref[:, 0].argsort()]
np.testing.assert_equal(sub_points, sub_points_ref)
sub_points = ops.grid_subsampling(points, 12).cpu().numpy()
sub_points_ref = np.array([[15, 16, 17], [4.5, 5.5, 6.5]], dtype=np.float32)
sub_points = sub_points[sub_points[:, 0].argsort()]
sub_points_ref = sub_points_ref[sub_points_ref[:, 0].argsort()]
np.testing.assert_equal(sub_points, sub_points_ref)
points = np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 1, 1],
[5, 0, 0], [5, 1, 0]],
dtype=np.float32)
sub_points_ref = np.array([[5, 0.5, 0], [0.4, 0.4, 0.4]], dtype=np.float32)
sub_points = ops.grid_subsampling(points, 1.1).cpu().numpy()
sub_points = sub_points[sub_points[:, 0].argsort()]
sub_points_ref = sub_points_ref[sub_points_ref[:, 0].argsort()]
np.testing.assert_equal(sub_points, sub_points_ref)
with pytest.raises(ValueError):
ops.grid_subsampling(None, 1)
@pytest.mark.skipif(not o3d._build_config['BUILD_TENSORFLOW_OPS'],
reason='tf ops not built')
def test_tf_batch_subsampling():
ops = importlib.import_module('open3d.ml.tf.ops')
points = np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 1, 1],
[5, 0, 0], [5, 1, 0]],
dtype=np.float32)
batches = np.array([3, 2, 2], dtype=np.int32)
sub_points_ref = np.array(
[[0.3333333, 0.3333333, 0], [0.5, 0.5, 1], [5, 0.5, 0]],
dtype=np.float32)
sub_batch_ref = np.array([1, 1, 1], dtype=np.int32)
(sub_points, sub_batch) = ops.batch_grid_subsampling(points, batches, 1.1)
sub_points, sub_batch = sub_points.cpu().numpy(), sub_batch.cpu().numpy()
np.testing.assert_almost_equal(sub_points, sub_points_ref)
np.testing.assert_almost_equal(sub_batch, sub_batch_ref)
with pytest.raises(ValueError):
ops.batch_grid_subsampling(None, batches, 1)
with pytest.raises(ValueError):
ops.batch_grid_subsampling(points, None, 1)
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