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chore: import upstream snapshot with attribution
2026-07-13 11:59:26 +08:00

72 lines
1.9 KiB
Python

# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
from paddleocr import DocPreprocessor
from ..testing_utils import (
TEST_DATA_DIR,
check_simple_inference_result,
check_wrapper_simple_inference_param_forwarding,
)
@pytest.fixture(scope="module")
def ocr_engine() -> DocPreprocessor:
return DocPreprocessor()
@pytest.mark.parametrize(
"image_path",
[
TEST_DATA_DIR / "book_rot180.jpg",
],
)
def test_predict(ocr_engine: DocPreprocessor, image_path: str) -> None:
"""
Test PaddleOCR's doc preprocessor functionality.
Args:
ocr_engine: An instance of `DocPreprocessor`.
image_path: Path to the image to be processed.
"""
result = ocr_engine.predict(str(image_path))
check_simple_inference_result(result)
res = result[0]
assert res["angle"] in {0, 90, 180, 270, -1}
assert res["rot_img"] is not None
assert res["output_img"] is not None
@pytest.mark.parametrize(
"params",
[
{"use_doc_orientation_classify": False},
{"use_doc_unwarping": False},
],
)
def test_predict_params(
monkeypatch,
ocr_engine: DocPreprocessor,
params: dict,
) -> None:
check_wrapper_simple_inference_param_forwarding(
monkeypatch,
ocr_engine,
"paddlex_pipeline",
"dummy_path",
params,
)