Fix image segmentation and object detection pipeline tests (#18100)
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@ -147,7 +147,6 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa
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pass
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@require_torch
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@unittest.skip("Test is broken, fix me please!")
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def test_small_model_pt(self):
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model_id = "hf-internal-testing/tiny-detr-mobilenetsv3-panoptic"
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@ -165,12 +164,12 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa
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[
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{
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"score": 0.004,
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"label": "LABEL_0",
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"label": "LABEL_215",
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"mask": "34eecd16bbfb0f476083ef947d81bf66",
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},
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{
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"score": 0.004,
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"label": "LABEL_0",
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"label": "LABEL_215",
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"mask": "34eecd16bbfb0f476083ef947d81bf66",
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},
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],
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@ -193,24 +192,24 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa
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[
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{
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"score": 0.004,
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"label": "LABEL_0",
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"label": "LABEL_215",
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"mask": "34eecd16bbfb0f476083ef947d81bf66",
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},
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{
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"score": 0.004,
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"label": "LABEL_0",
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"label": "LABEL_215",
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"mask": "34eecd16bbfb0f476083ef947d81bf66",
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},
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],
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[
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{
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"score": 0.004,
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"label": "LABEL_0",
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"label": "LABEL_215",
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"mask": "34eecd16bbfb0f476083ef947d81bf66",
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},
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{
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"score": 0.004,
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"label": "LABEL_0",
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"label": "LABEL_215",
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"mask": "34eecd16bbfb0f476083ef947d81bf66",
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},
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],
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@ -105,7 +105,6 @@ class ObjectDetectionPipelineTests(unittest.TestCase, metaclass=PipelineTestCase
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pass
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@require_torch
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@unittest.skip("Test is broken, fix me please!")
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def test_small_model_pt(self):
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model_id = "hf-internal-testing/tiny-detr-mobilenetsv3"
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@ -118,8 +117,8 @@ class ObjectDetectionPipelineTests(unittest.TestCase, metaclass=PipelineTestCase
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self.assertEqual(
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nested_simplify(outputs, decimals=4),
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[
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{"score": 0.3432, "label": "LABEL_0", "box": {"xmin": 160, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3432, "label": "LABEL_0", "box": {"xmin": 160, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3376, "label": "LABEL_0", "box": {"xmin": 159, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3376, "label": "LABEL_0", "box": {"xmin": 159, "ymin": 120, "xmax": 480, "ymax": 359}},
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],
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)
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@ -135,12 +134,12 @@ class ObjectDetectionPipelineTests(unittest.TestCase, metaclass=PipelineTestCase
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nested_simplify(outputs, decimals=4),
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[
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[
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{"score": 0.3432, "label": "LABEL_0", "box": {"xmin": 160, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3432, "label": "LABEL_0", "box": {"xmin": 160, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3376, "label": "LABEL_0", "box": {"xmin": 159, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3376, "label": "LABEL_0", "box": {"xmin": 159, "ymin": 120, "xmax": 480, "ymax": 359}},
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],
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[
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{"score": 0.3432, "label": "LABEL_0", "box": {"xmin": 160, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3432, "label": "LABEL_0", "box": {"xmin": 160, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3376, "label": "LABEL_0", "box": {"xmin": 159, "ymin": 120, "xmax": 480, "ymax": 359}},
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{"score": 0.3376, "label": "LABEL_0", "box": {"xmin": 159, "ymin": 120, "xmax": 480, "ymax": 359}},
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],
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],
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)
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