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Fixing object detection with layoutlm
(#20776)
* Fixing object detection with layoutlm. * Fixup.
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@ -378,7 +378,12 @@ NO_TOKENIZER_TASKS = set()
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# any tokenizer/feature_extractor might be use for a given model so we cannot
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# use the statically defined TOKENIZER_MAPPING and FEATURE_EXTRACTOR_MAPPING to
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# see if the model defines such objects or not.
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MULTI_MODEL_CONFIGS = {"SpeechEncoderDecoderConfig", "VisionEncoderDecoderConfig", "VisionTextDualEncoderConfig"}
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MULTI_MODEL_CONFIGS = {
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"SpeechEncoderDecoderConfig",
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"VisionEncoderDecoderConfig",
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"VisionTextDualEncoderConfig",
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"LayoutLMConfig",
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}
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for task, values in SUPPORTED_TASKS.items():
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if values["type"] == "text":
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NO_FEATURE_EXTRACTOR_TASKS.add(task)
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@ -256,17 +256,9 @@ class ObjectDetectionPipelineTests(unittest.TestCase, metaclass=PipelineTestCase
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"https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"
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)
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self.assertEqual(
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nested_simplify(outputs, decimals=4),
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nested_simplify(outputs, decimals=3),
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[
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{
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"score": 0.9982,
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"label": "B-QUESTION",
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"box": {"xmin": 654, "ymin": 165, "xmax": 719, "ymax": 719},
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},
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{
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"score": 0.9982,
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"label": "I-QUESTION",
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"box": {"xmin": 691, "ymin": 202, "xmax": 735, "ymax": 735},
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},
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{"score": 0.998, "label": "B-QUESTION", "box": {"xmin": 462, "ymin": 234, "xmax": 508, "ymax": 249}},
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{"score": 0.999, "label": "I-QUESTION", "box": {"xmin": 489, "ymin": 286, "xmax": 519, "ymax": 301}},
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],
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)
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