Fix #2321 Subclass PyTorchYolo and PyTorchDetectionTransformer off PyTorchObjectDetector #2371
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Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Farhan Ahmed <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Codecov ReportAttention:
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## dev_1.17.0 #2371 +/- ##
==============================================
- Coverage 85.35% 84.79% -0.57%
==============================================
Files 327 327
Lines 30622 29887 -735
Branches 5779 5526 -253
==============================================
- Hits 26138 25342 -796
- Misses 3043 3132 +89
+ Partials 1441 1413 -28
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Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
Signed-off-by: Beat Buesser <[email protected]>
![github-advanced-security[bot]](https://avatars.githubusercontent.com/in/57789?s=60&v=4){kind=small}
| # def test_errors(art_warning): | ||
| # try: | ||
| # from torch import hub | ||
| # | ||
| # from art.estimators.object_detection.pytorch_detection_transformer import PyTorchDetectionTransformer | ||
| # | ||
| # model = hub.load("facebookresearch/detr", "detr_resnet50", pretrained=True) | ||
| # | ||
| # with pytest.raises(ValueError): | ||
| # PyTorchDetectionTransformer( | ||
| # model=model, | ||
| # clip_values=(1, 2), | ||
| # attack_losses=("loss_ce", "loss_bbox", "loss_giou"), |
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| # with pytest.raises(ValueError): | ||
| # PyTorchDetectionTransformer( | ||
| # model=model, | ||
| # clip_values=(-1, 1), | ||
| # attack_losses=("loss_ce", "loss_bbox", "loss_giou"), |
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| # with pytest.raises(ValueError): | ||
| # PyTorchDetectionTransformer( | ||
| # model=model, | ||
| # clip_values=(0, 1), | ||
| # attack_losses=("loss_ce", "loss_bbox", "loss_giou"), | ||
| # postprocessing_defences=post_def, |
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| # except ARTTestException as e: | ||
| # art_warning(e) |
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| # def test_preprocessing_defences(art_warning, get_pytorch_detr): | ||
| # try: | ||
| # object_detector, x_test, _ = get_pytorch_detr | ||
| # | ||
| # from art.defences.preprocessor.spatial_smoothing_pytorch import SpatialSmoothingPyTorch | ||
| # | ||
| # pre_def = SpatialSmoothingPyTorch() | ||
| # | ||
| # object_detector.set_params(preprocessing_defences=pre_def) | ||
| # | ||
| # # Create labels | ||
| # result = object_detector.predict(x=x_test) | ||
| # | ||
| # y = [ |
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| # except ARTTestException as e: | ||
| # art_warning(e) |
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| # def test_compute_losses(art_warning, get_pytorch_detr): | ||
| # try: | ||
| # object_detector, x_test, y_test = get_pytorch_detr | ||
| # losses = object_detector.compute_losses(x=x_test, y=y_test) | ||
| # assert len(losses) == 3 | ||
| # | ||
| # except ARTTestException as e: | ||
| # art_warning(e) |
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| # def test_compute_loss(art_warning, get_pytorch_detr): | ||
| # try: | ||
| # object_detector, x_test, y_test = get_pytorch_detr | ||
| # | ||
| # # Compute loss | ||
| # loss = object_detector.compute_loss(x=x_test, y=y_test) | ||
| # | ||
| # assert pytest.approx(6.7767677, abs=0.1) == float(loss) | ||
| # | ||
| # except ARTTestException as e: | ||
| # art_warning(e) |
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| # def test_pgd(art_warning, get_pytorch_detr): | ||
| # try: | ||
| # from art.attacks.evasion import ProjectedGradientDescent | ||
| # | ||
| # object_detector, x_test, y_test = get_pytorch_detr | ||
| # | ||
| # attack = ProjectedGradientDescent(estimator=object_detector, max_iter=2) | ||
| # x_test_adv = attack.generate(x=x_test, y=y_test) | ||
| # np.testing.assert_raises(AssertionError, np.testing.assert_array_equal, x_test_adv, x_test) | ||
| # | ||
| # except ARTTestException as e: | ||
| # art_warning(e) |
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@beat-buesser PR #2321 should now be fixed. It's also been rebased to the |
|
fixed by #2321 |
Description
This pull request continues #2321 and fixes the failing unit tests.