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PdfFormatOption +from docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline + + +def get_converter(): + + pipeline_options = PdfPipelineOptions() + pipeline_options.generate_page_images = True + + pipeline_options.do_ocr = False + pipeline_options.do_table_structure = False + pipeline_options.do_code_enrichment = False + pipeline_options.do_formula_enrichment = False + pipeline_options.do_picture_classification = True + pipeline_options.generate_picture_images = True + pipeline_options.images_scale = 2 + + converter = DocumentConverter( + format_options={ + InputFormat.PDF: PdfFormatOption( + backend=DoclingParseV2DocumentBackend, + pipeline_cls=StandardPdfPipeline, + pipeline_options=pipeline_options, + ) + } + ) + + return converter + + +def test_picture_classifier(): + pdf_path = Path("tests/data/picture_classification.pdf") + converter = get_converter() + + print(f"converting {pdf_path}") + + doc_result: ConversionResult = converter.convert(pdf_path) + + results = doc_result.document.pictures + + assert len(results) == 2 + + res = results[0] + assert len(res.annotations) == 1 + assert type(res.annotations[0]) == PictureClassificationData + classification_data = res.annotations[0] + assert classification_data.provenance == "DocumentPictureClassifier" + assert ( + len(classification_data.predicted_classes) == 16 + ), "Number of predicted classes is not equal to 16" + confidences = [pred.confidence for pred in classification_data.predicted_classes] + assert confidences == sorted( + confidences, reverse=True + ), "Predictions are not sorted in descending order of confidence" + assert ( + classification_data.predicted_classes[0].class_name == "bar_chart" + ), "The prediction is wrong for the bar chart image." + + res = results[1] + assert len(res.annotations) == 1 + assert type(res.annotations[0]) == PictureClassificationData + classification_data = res.annotations[0] + assert classification_data.provenance == "DocumentPictureClassifier" + assert ( + len(classification_data.predicted_classes) == 16 + ), "Number of predicted classes is not equal to 16" + confidences = [pred.confidence for pred in classification_data.predicted_classes] + assert confidences == sorted( + confidences, reverse=True + ), "Predictions are not sorted in descending order of confidence" + assert ( + classification_data.predicted_classes[0].class_name == "map" + ), "The prediction is wrong for the bar chart image."