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42 lines
1.6 KiB
Python
42 lines
1.6 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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import pytest
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import torch
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from kornia.feature.dedode import DeDoDe
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@pytest.mark.skip(reason="DeDoDe is ummaintained")
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class TestDeDoDe:
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@pytest.mark.slow
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@pytest.mark.parametrize("descriptor_model", ["B", "G"])
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@pytest.mark.parametrize("detector_model", ["L"])
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def test_smoke(self, dtype, device, descriptor_model, detector_model):
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if "G" in descriptor_model and device.type != "cuda" and dtype == torch.float16:
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pytest.skip('G descriptors do not support no cuda device. "LayerNormKernelImpl" not implemented for `Half`')
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dedode = DeDoDe(descriptor_model=descriptor_model, detector_model=detector_model, amp_dtype=dtype).to(
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device, dtype
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)
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shape = (2, 3, 128, 128)
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n = 1000
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inp = torch.randn(*shape, device=device, dtype=dtype)
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keypoints, scores, descriptions = dedode(inp, n=n)
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assert keypoints.shape == (shape[0], n, 2)
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assert scores.shape == (shape[0], n)
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assert descriptions.shape == (shape[0], n, 256)
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