mirror of
https://github.com/RapidAI/RapidOCR.git
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SWHL
017b8fd5c7
* feat: add en/el/th ppocr_v5_rec_mobile paddle/onnx/openvino * test: change to a more secure code
149 lines
3.7 KiB
Python
149 lines
3.7 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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from pytest import mark
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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 import LoadImageError, 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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@pytest.fixture()
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def engine():
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engine = RapidOCR()
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return engine
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@mark.parametrize(
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"img_name,gt",
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[
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(
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"black_font_color_transparent.png",
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"我是中国人",
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),
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(
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"white_font_color_transparent.png",
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"我是中国人",
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),
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],
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)
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def test_transparent_img(engine, img_name: str, gt: str):
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img_path = tests_dir / img_name
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result = engine(img_path)
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assert result.txts[0] == gt
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def test_long_img(engine):
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img_url = "https://github.com/RapidAI/RapidOCR/releases/download/v1.1.0/long.jpeg"
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result = engine(img_url)
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assert result is not None
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assert len(result.boxes) >= 53
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def test_full_black_img(engine):
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img_path = tests_dir / "empty_black.jpg"
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result = engine(img_path)
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assert result.img is None
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assert result.boxes is None
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def test_img_url_input(engine):
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img_url = "https://github.com/RapidAI/RapidOCR/blob/a9bb7c1f44b6e00556ada90ac588f020d7637c4b/python/tests/test_files/ch_en_num.jpg?raw=true"
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result = engine(img_url)
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assert result.txts is not None
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assert result.txts[0] == "正品促销"
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def test_empty(engine):
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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(engine):
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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.boxes is None
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def test_input_str(engine):
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result = engine(str(img_path))
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assert len(result) == 18
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assert result.txts[0] == "正品促销"
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def test_input_bytes(engine):
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with open(img_path, "rb") as f:
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result = engine(f.read())
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assert len(result) == 18
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assert result.txts[0] == "正品促销"
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def test_input_path(engine):
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result = engine(img_path)
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assert len(result) == 18
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assert result.txts[0] == "正品促销"
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def test_input_parameters(engine):
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result = engine(img_path, text_score=1.0)
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assert result.boxes is None
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def test_input_three_ndim_two_channel(engine):
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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 result is not None
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assert len(result) == 1
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assert result.txts[0] == "TREND PLOT REPORT"
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def test_input_three_ndim_one_channel(engine):
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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 len(result) >= 17
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def test_mode_one_img(engine):
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img_path = tests_dir / "issue_170.png"
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result = engine(img_path)
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assert result.txts[0] == "TEST"
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@mark.parametrize(
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"img_name,gt_len,gt_first_len",
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[
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(
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"test_letterbox_like.jpg",
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2,
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"A：：取决于所使用的执行提供者，它可能没有完全支持模型中的所有操作。回落到CPU操作可能会导致性能速度的下降。此外，即使一个操作是由CUDAeXecution",
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),
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("test_without_det.jpg", 1, "在中国作家协会第三届儿童文学"),
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],
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)
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def test_letterbox_like(engine, img_name, gt_len, gt_first_len):
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img_path = tests_dir / img_name
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result = engine(img_path)
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assert len(result) == gt_len
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assert result.txts[0].lower() == gt_first_len.lower()
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