mirror of
https://github.com/RapidAI/RapidOCR.git
synced 2026-11-12 05:50:49 +08:00
SWHL
202dfb91fc
* fix(vis_result): support to download direct font file * chore: update files * feat(rapidocr): update vis * feat(rapidocr): update vis
370 lines
9.5 KiB
Python
370 lines
9.5 KiB
Python
# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import shlex
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import sys
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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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 import LoadImageError, RapidOCR
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from rapidocr.main import main
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from rapidocr.utils.logger import Logger
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from rapidocr.utils.utils import download_file
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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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logger = Logger(logger_name=__name__).get_log()
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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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def get_engine(params: Optional[Dict[str, Any]] = None):
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if params:
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engine = RapidOCR(params=params)
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return engine
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engine = RapidOCR()
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return engine
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def test_vis_only_det(engine):
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img_path = tests_dir / "ch_en_num.jpg"
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result = engine(img_path, use_det=True, use_cls=False, use_rec=False)
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vis_img = result.vis()
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assert vis_img.shape == (430, 323, 3)
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def test_vis_only_rec(engine):
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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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vis_img = result.vis()
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assert vis_img.shape == (78, 724, 3)
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def test_vis_only_cls(engine):
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img_path = tests_dir / "text_rec.jpg"
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result = engine(img_path, use_det=False, use_cls=True, use_rec=False)
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vis_img = result.vis()
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assert vis_img.shape == (78, 724, 3)
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def test_vis_det_cls_rec(engine):
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img_path = tests_dir / "ch_en_num.jpg"
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result = engine(img_path, use_det=False, use_cls=True, use_rec=False)
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vis_img = result.vis()
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assert vis_img.shape == (430, 323, 3)
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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_server_rec():
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engine = RapidOCR(params={"Global.lang_rec": "ch_server"})
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result = engine(img_path)
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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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@pytest.mark.parametrize("cmd,gt", [(f"--img_path {img_path}", "正品促销")])
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def test_cli(capsys, cmd, gt):
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main(shlex.split(cmd))
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output = capsys.readouterr().out.strip()
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assert gt in output
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@pytest.mark.parametrize(
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"cmd,img_name",
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[
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(
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f"--img_path {img_path} -vis --vis_save_dir {tests_dir}",
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f"{img_path.stem}_vis.png",
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),
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(
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f"--img_path {img_path} -vis --vis_save_dir {tests_dir} -word",
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f"{img_path.stem}_vis_single.png",
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),
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],
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)
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def test_cli_vis(cmd, img_name):
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main(shlex.split(cmd))
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vis_path = tests_dir / img_name
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assert vis_path.exists()
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vis_path.unlink()
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def test_error_lang():
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with pytest.raises(ValueError) as exc_info:
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engine = get_engine(params={"Global.lang": "eh"})
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assert exc_info.type is ValueError
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def test_korean_lang():
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engine = get_engine(params={"Global.lang_rec": "korean_mobile"})
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img_path = tests_dir / "korean.jpg"
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result = engine(img_path)
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assert result.txts is not None
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assert result.txts[0] == "베이징차오양"
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def test_en_lang():
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engine = get_engine(params={"Global.lang_rec": "en_mobile"})
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img_path = tests_dir / "en.jpg"
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result = engine(img_path)
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assert result.txts is not None
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assert result.txts[0] == "3"
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def test_engine_openvino():
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engine = get_engine(params={"Global.with_openvino": True})
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result = engine(img_path)
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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_engine_paddle():
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engine = RapidOCR(params={"Global.with_paddle": True})
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result = engine(img_path)
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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_engine_torch():
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engine = RapidOCR(params={"Global.with_torch": True})
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result = engine(img_path)
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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_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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img_path = tests_dir / "long.jpeg"
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download_file(img_url, img_path, logger)
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result = engine(img_path)
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assert result is not None
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assert len(result.boxes) >= 53
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img_path.unlink()
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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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@pytest.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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@pytest.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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def test_only_det(engine):
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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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def test_only_cls(engine):
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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.cls_res[0][0] == "0"
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def test_only_rec(engine):
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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.txts[0] == "韩国小馆"
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def test_det_rec(engine):
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result = engine(img_path, use_det=True, use_cls=False, use_rec=True)
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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_cls_rec(engine):
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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 result is not None
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assert len(result) == 1
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assert result.txts[0] == "韩国小馆"
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def test_det_cls_rec(engine):
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img = cv2.imread(str(img_path))
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result = engine(img)
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assert result is not None
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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_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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@pytest.mark.parametrize(
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"img_name,words",
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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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"text_vertical_words.png",
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(
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"已",
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"取",
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"之",
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"時",
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"不",
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"參",
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"一",
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"人",
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"見",
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"而",
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"是",
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"非",
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"不",
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"得",
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"問",
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"之",
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"人",
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"要",
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"取",
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"之",
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"有",
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"是",
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"是",
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"非",
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"非",
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"之",
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"士",
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"師",
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"也",
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),
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),
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(
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"issue_170.png",
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("T", "E", "S", "T"),
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),
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],
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)
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def test_word_ocr(engine, img_name: str, words: List[str]):
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img_path = tests_dir / img_name
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result = engine(img_path, return_word_box=True)
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txts, _, _ = list(zip(*result.word_results))
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assert txts == words
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