mirror of
https://github.com/RapidAI/RapidOCR.git
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148 lines
3.6 KiB
Python
148 lines
3.6 KiB
Python
# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import sys
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from pathlib import Path
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import cv2
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import numpy as np
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import pytest
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root_dir = Path(__file__).resolve().parent.parent
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sys.path.append(str(root_dir))
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from rapidocr_onnxruntime import LoadImageError, RapidOCR
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engine = RapidOCR()
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tests_dir = root_dir / "tests" / "test_files"
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img_path = tests_dir / "ch_en_num.jpg"
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def test_only_det():
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result, _ = engine(img_path, use_det=True, use_cls=False, use_rec=False)
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assert len(result) == 18
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assert result[0][0] == [5.0, 2.0]
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def test_only_cls():
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img_path = tests_dir / "text_cls.jpg"
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result, _ = engine(img_path, use_det=False, use_cls=True, use_rec=False)
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assert len(result) == 1
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assert result[0][0] == "0"
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def test_only_rec():
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img_path = tests_dir / "text_rec.jpg"
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result, _ = engine(img_path, use_det=False, use_cls=False, use_rec=True)
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assert len(result) == 1
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assert result[0][0] == "韩国小馆"
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def test_det_rec():
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result, _ = engine(img_path, use_det=True, use_cls=False, use_rec=True)
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assert result[0][1] == "正品促销"
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assert len(result) == 16
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def test_cls_rec():
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img_path = tests_dir / "text_cls.jpg"
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result, _ = engine(img_path, use_det=False, use_cls=True, use_rec=True)
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assert len(result) == 1
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assert result[0][0] == "韩国小馆"
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def test_det_cls_rec():
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img = cv2.imread(str(img_path))
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img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
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result, _ = engine(img)
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assert result[0][1] == "正品促销"
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assert len(result) == 16
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def test_empty():
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img = None
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with pytest.raises(LoadImageError) as exc_info:
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engine(img)
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raise LoadImageError
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assert exc_info.type is LoadImageError
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def test_zeros():
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img = np.zeros([640, 640, 3], np.uint8)
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result, _ = engine(img)
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assert result is None
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def test_input_str():
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result, _ = engine(str(img_path))
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assert result[0][1] == "正品促销"
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assert len(result) == 16
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def test_input_bytes():
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with open(img_path, "rb") as f:
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result, _ = engine(f.read())
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assert result[0][1] == "正品促销"
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assert len(result) == 16
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def test_input_path():
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result, _ = engine(img_path)
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assert result[0][1] == "正品促销"
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assert len(result) == 16
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def test_input_parameters():
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img_path = tests_dir / "ch_en_num.jpg"
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engine = RapidOCR(text_score=1)
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result, _ = engine(img_path)
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assert result is None
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def test_input_det_parameters():
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with pytest.raises(FileNotFoundError) as exc_info:
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engine = RapidOCR(det_model_path="1.onnx")
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result, _ = engine(img_path)
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raise FileNotFoundError()
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assert exc_info.type is FileNotFoundError
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def test_input_cls_parameters():
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with pytest.raises(FileNotFoundError) as exc_info:
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engine = RapidOCR(cls_model_path="1.onnx")
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result, _ = engine(img_path)
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raise FileNotFoundError()
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assert exc_info.type is FileNotFoundError
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def test_input_rec_parameters():
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with pytest.raises(FileNotFoundError) as exc_info:
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engine = RapidOCR(rec_model_path="1.onnx")
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result, _ = engine(img_path)
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raise FileNotFoundError()
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assert exc_info.type is FileNotFoundError
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def test_input_three_ndim_two_channel():
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img_npy = tests_dir / "two_dim_image.npy"
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image_array = np.load(str(img_npy))
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result, _ = engine(image_array)
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assert len(result) == 87
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def test_input_three_ndim_one_channel():
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img = cv2.imread(str(img_path))
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img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
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img = img[:, :, 0]
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img = img[..., None] # (H, W, 1)
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result, _ = engine(img)
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assert result[0][1] == "正品促销"
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assert len(result) == 16
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