PaddleOCR/tests/pipelines/test_pp_chatocrv4_doc.py

82 lines
2.2 KiB
Python

import pytest
from paddleocr import PPChatOCRv4Doc
from ..testing_utils import TEST_DATA_DIR
@pytest.fixture(scope="module")
def pp_chatocrv4_doc_pipeline():
return PPChatOCRv4Doc()
@pytest.mark.parametrize(
"image_path",
[
TEST_DATA_DIR / "doc_with_formula.png",
],
)
def test_visual_predict(pp_chatocrv4_doc_pipeline, image_path):
result = pp_chatocrv4_doc_pipeline.visual_predict(str(image_path))
assert result is not None
assert isinstance(result, list)
assert len(result) == 1
res = result[0]
assert isinstance(res, dict)
assert res.keys() == {"visual_info", "layout_parsing_result"}
assert isinstance(res["visual_info"], dict)
assert isinstance(res["layout_parsing_result"], dict)
@pytest.mark.parametrize(
"params",
[
{"use_doc_orientation_classify": False},
{"use_doc_unwarping": False},
{"use_general_ocr": False},
{"use_table_recognition": False},
{"layout_threshold": 0.88},
{"layout_threshold": [0.45, 0.4]},
{"layout_threshold": {0: 0.45, 2: 0.48, 7: 0.4}},
{"layout_nms": False},
{"layout_unclip_ratio": 1.1},
{"layout_unclip_ratio": [1.2, 1.5]},
{"layout_unclip_ratio": {0: 1.2, 2: 1.5, 7: 1.8}},
{"layout_merge_bboxes_mode": "large"},
{"layout_merge_bboxes_mode": {0: "large", 2: "small", 7: "union"}},
{"text_det_limit_side_len": 640, "text_det_limit_type": "min"},
{"text_det_thresh": 0.5},
{"text_det_box_thresh": 0.3},
{"text_det_unclip_ratio": 3.0},
{"text_rec_score_thresh": 0.5},
],
)
def test_predict_params(
monkeypatch,
pp_chatocrv4_doc_pipeline,
params,
):
def _dummy_visual_predict(input, **params):
yield {"visual_info": {}, "layout_parsing_result": params}
monkeypatch.setattr(
pp_chatocrv4_doc_pipeline.paddlex_pipeline,
"visual_predict",
_dummy_visual_predict,
)
result = pp_chatocrv4_doc_pipeline.visual_predict(
input,
**params,
)
assert isinstance(result, list)
assert len(result) == 1
res = result[0]
res = res["layout_parsing_result"]
for k, v in params.items():
assert res[k] == v
# TODO: Test constructor and other methods