pdf_extract_kit/tasks/formula_detection/task.py

from pdf_extract_kit.registry.registry import TASK_REGISTRY
from pdf_extract_kit.tasks.base_task import BaseTask

@TASK_REGISTRY.register("formula_detection")
class FormulaDetectionTask(BaseTask):
    def __init__(self, model):
        super().__init__(model)

    def predict_images(self, input_data, result_path):
        """
        Predict formulas in images.

        Args:
            input_data (str): Path to a single image file or a directory containing image files.
            result_path (str): Path to save the prediction results.

        Returns:
            list: List of prediction results.
        """
        images = self.load_images(input_data)
        # Perform detection
        return self.model.predict(images, result_path)

    def predict_pdfs(self, input_data, result_path):
        """
        Predict formulas in PDF files.

        Args:
            input_data (str): Path to a single PDF file or a directory containing PDF files.
            result_path (str): Path to save the prediction results.

        Returns:
            list: List of prediction results.
        """
        pdf_images = self.load_pdf_images(input_data)
        # Perform detection
        return self.model.predict(list(pdf_images.values()), result_path, list(pdf_images.keys()))