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118 lines
4.4 KiB
Python
118 lines
4.4 KiB
Python
# LICENSE HEADER MANAGED BY add-license-header
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#
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# Copyright 2018 Kornia Team
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from __future__ import annotations
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import warnings
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import numpy as np
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import pytest
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import torch
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from kornia import utils
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class TestDeprecatedWrappers:
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"""Verify that every re-exported function in kornia.utils emits a DeprecationWarning."""
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def test_create_meshgrid_warns(self):
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with pytest.warns(DeprecationWarning, match="kornia.geometry.create_meshgrid"):
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out = utils.create_meshgrid(4, 4)
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assert out.shape == (1, 4, 4, 2)
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def test_create_meshgrid3d_warns(self):
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with pytest.warns(DeprecationWarning, match="kornia.geometry.create_meshgrid3d"):
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out = utils.create_meshgrid3d(2, 3, 4)
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assert out.shape == (1, 2, 3, 4, 3)
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def test_draw_line_warns(self):
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img = torch.zeros(3, 16, 16)
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p1 = torch.tensor([0, 0])
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p2 = torch.tensor([7, 7])
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color = torch.tensor([1.0, 0.0, 0.0])
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with pytest.warns(DeprecationWarning, match="kornia.image.draw_line"):
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out = utils.draw_line(img, p1, p2, color)
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assert out.shape == img.shape
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def test_draw_rectangle_warns(self):
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img = torch.zeros(1, 3, 16, 16)
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rect = torch.tensor([[[2, 2, 10, 10]]], dtype=torch.float32)
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with pytest.warns(DeprecationWarning, match="kornia.image.draw_rectangle"):
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out = utils.draw_rectangle(img, rect)
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assert out.shape == img.shape
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def test_draw_point2d_warns(self):
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img = torch.zeros(1, 3, 16, 16)
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points = torch.tensor([[4, 4]], dtype=torch.long)
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color = torch.tensor([0.0, 1.0, 0.0])
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with pytest.warns(DeprecationWarning, match="kornia.image.draw_point2d"):
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out = utils.draw_point2d(img[0], points, color)
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assert out.shape == img[0].shape
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def test_draw_convex_polygon_warns(self):
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img = torch.zeros(1, 3, 16, 16)
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polygon = torch.tensor([[[2.0, 2.0], [14.0, 2.0], [14.0, 14.0], [2.0, 14.0]]])
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color = torch.tensor([[1.0, 0.0, 0.0]])
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with pytest.warns(DeprecationWarning, match="kornia.image.draw_convex_polygon"):
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out = utils.draw_convex_polygon(img, polygon, color)
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assert out.shape == img.shape
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def test_image_to_tensor_warns(self):
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arr = np.zeros((8, 8, 3), dtype=np.uint8)
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with pytest.warns(DeprecationWarning, match="kornia.image.image_to_tensor"):
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t = utils.image_to_tensor(arr)
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assert isinstance(t, torch.Tensor)
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def test_tensor_to_image_warns(self):
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t = torch.zeros(3, 8, 8)
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with pytest.warns(DeprecationWarning, match="kornia.image.tensor_to_image"):
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arr = utils.tensor_to_image(t)
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assert arr is not None
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def test_one_hot_warns(self):
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labels = torch.tensor([0, 1, 2])
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with pytest.warns(DeprecationWarning, match="kornia.losses.one_hot"):
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out = utils.one_hot(labels, num_classes=3, device=torch.device("cpu"), dtype=torch.float32)
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assert out.shape == (3, 3)
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def test_all_wrappers_in_all(self):
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expected = {
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"create_meshgrid",
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"create_meshgrid3d",
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"draw_convex_polygon",
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"draw_line",
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"draw_point2d",
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"draw_rectangle",
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"image_to_string",
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"image_to_tensor",
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"load_pointcloud_ply",
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"one_hot",
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"print_image",
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"save_pointcloud_ply",
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"tensor_to_image",
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}
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assert expected.issubset(set(utils.__all__))
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def test_multiple_calls_each_warn(self):
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"""Deprecation warning must be raised every time, not just the first call."""
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with warnings.catch_warnings(record=True) as caught:
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warnings.simplefilter("always")
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utils.create_meshgrid(2, 2)
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utils.create_meshgrid(2, 2)
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dep_warnings = [w for w in caught if issubclass(w.category, DeprecationWarning)]
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assert len(dep_warnings) == 2
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