MinerU/mineru/model/layout/doclayout_yolo.py

from doclayout_yolo import YOLOv10
from tqdm import tqdm


class DocLayoutYOLOModel(object):
    def __init__(self, weight, device):
        self.model = YOLOv10(weight)
        self.device = device

    def predict(self, image):
        layout_res = []
        doclayout_yolo_res = self.model.predict(
            image,
            imgsz=1280,
            conf=0.10,
            iou=0.45,
            verbose=False, device=self.device
        )[0]
        for xyxy, conf, cla in zip(
            doclayout_yolo_res.boxes.xyxy.cpu(),
            doclayout_yolo_res.boxes.conf.cpu(),
            doclayout_yolo_res.boxes.cls.cpu(),
        ):
            xmin, ymin, xmax, ymax = [int(p.item()) for p in xyxy]
            new_item = {
                "category_id": int(cla.item()),
                "poly": [xmin, ymin, xmax, ymin, xmax, ymax, xmin, ymax],
                "score": round(float(conf.item()), 3),
            }
            layout_res.append(new_item)
        return layout_res

    def batch_predict(self, images: list, batch_size: int) -> list:
        images_layout_res = []
        # for index in range(0, len(images), batch_size):
        for index in tqdm(range(0, len(images), batch_size), desc="Layout Predict"):
            doclayout_yolo_res = [
                image_res.cpu()
                for image_res in self.model.predict(
                    images[index : index + batch_size],
                    imgsz=1280,
                    conf=0.10,
                    iou=0.45,
                    verbose=False,
                    device=self.device,
                )
            ]
            for image_res in doclayout_yolo_res:
                layout_res = []
                for xyxy, conf, cla in zip(
                    image_res.boxes.xyxy,
                    image_res.boxes.conf,
                    image_res.boxes.cls,
                ):
                    xmin, ymin, xmax, ymax = [int(p.item()) for p in xyxy]
                    new_item = {
                        "category_id": int(cla.item()),
                        "poly": [xmin, ymin, xmax, ymin, xmax, ymax, xmin, ymax],
                        "score": round(float(conf.item()), 3),
                    }
                    layout_res.append(new_item)
                images_layout_res.append(layout_res)

        return images_layout_res