AIStoryBoard/python/PaddleOCR-main/tests/models/test_layout_detection.py

import pytest

from paddleocr import LayoutDetection
from ..testing_utils import (
    TEST_DATA_DIR,
    check_simple_inference_result,
    check_wrapper_simple_inference_param_forwarding,
)
from .object_detection_common import check_result_item_keys


@pytest.fixture(scope="module")
def layout_detection_predictor():
    return LayoutDetection()


@pytest.mark.parametrize(
    "image_path",
    [
        TEST_DATA_DIR / "doc_with_formula.png",
    ],
)
def test_predict(layout_detection_predictor, image_path):
    result = layout_detection_predictor.predict(str(image_path))

    check_simple_inference_result(result)
    check_result_item_keys(result[0])


@pytest.mark.parametrize(
    "params",
    [
        {"img_size": 640},
        {"threshold": 0.5},
        {"layout_nms": True},
        {"layout_unclip_ratio": True},
        {"layout_merge_bboxes_mode": True},
    ],
)
def test_predict_params(
    monkeypatch,
    layout_detection_predictor,
    params,
):
    check_wrapper_simple_inference_param_forwarding(
        monkeypatch,
        layout_detection_predictor,
        "paddlex_predictor",
        "dummy_path",
        params,
    )