mirror of
https://github.com/nerfstudio-project/nerfstudio.git
synced 2026-11-14 03:44:02 +08:00
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
# Copyright 2026 the Regents of the University of California, Nerfstudio Team and contributors. All rights reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
from unittest.mock import Mock
|
|
|
|
import numpy as np
|
|
import pytest
|
|
from packaging.version import Version
|
|
from PIL import Image
|
|
|
|
from nerfstudio.data.utils import data_utils
|
|
|
|
|
|
@pytest.mark.parametrize("pillow_version, uses_extents", [("12.2.0", True), ("12.1.0", False)])
|
|
def test_set_encoder_image(monkeypatch, pillow_version, uses_extents):
|
|
image = Image.new("L", (2, 2))
|
|
encoder = Mock()
|
|
monkeypatch.setattr(data_utils, "_PILLOW_VERSION", Version(pillow_version))
|
|
|
|
data_utils._set_encoder_image(encoder, image)
|
|
|
|
if uses_extents:
|
|
encoder.setimage.assert_called_once_with(image.im, (0, 0) + image.size)
|
|
else:
|
|
encoder.setimage.assert_called_once_with(image.im)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"values",
|
|
[
|
|
np.array([[1, 2], [3, 4]], dtype=np.uint8),
|
|
np.array(
|
|
[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]],
|
|
dtype=np.uint8,
|
|
),
|
|
],
|
|
)
|
|
def test_pil_to_numpy(values):
|
|
image = Image.fromarray(values)
|
|
|
|
result = data_utils.pil_to_numpy(image)
|
|
|
|
np.testing.assert_array_equal(result, values)
|
|
assert result.flags.writeable
|