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fix the last ones
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52f2dbe9ef
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@ -171,7 +171,7 @@ class LayoutLMv3ProcessorIntegrationTests(unittest.TestCase):
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from datasets import load_dataset
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ds = load_dataset("hf-internal-testing/fixtures_docvqa", split="test")
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return ds[0]["image"], ds[1]["image"]
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return ds[0]["image"].convert("RGB"), ds[1]["image"].convert("RGB")
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@cached_property
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def get_tokenizers(self):
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@ -188,7 +188,7 @@ class UdopProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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processor = UdopProcessor.from_pretrained("microsoft/udop-large", apply_ocr=False)
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def preprocess_data(examples):
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images = [Image.open(path).convert("RGB") for path in examples["image_path"]]
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images = [image.convert("RGB") for image in examples["image"]]
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words = examples["words"]
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boxes = examples["bboxes"]
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word_labels = examples["ner_tags"]
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@ -1149,7 +1149,7 @@ class TrOCRModelIntegrationTest(unittest.TestCase):
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def test_inference_handwritten(self):
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model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten").to(torch_device)
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dataset = load_dataset("hf-internal-testing/fixtures_ocr", split="test")
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dataset = load_dataset("hf-internal-testing/fixtures_ocr", split="train")
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image = dataset[0]["image"].convert("RGB")
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processor = self.default_processor
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@ -1174,7 +1174,7 @@ class TrOCRModelIntegrationTest(unittest.TestCase):
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def test_inference_printed(self):
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model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-printed").to(torch_device)
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dataset = load_dataset("hf-internal-testing/fixtures_ocr", split="test")
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dataset = load_dataset("hf-internal-testing/fixtures_ocr", split="train")
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image = dataset[0]["image"].convert("RGB")
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processor = self.default_processor
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