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Testing PaddleOCR Multi-Language Processing in PaddleOCR

This test suite validates the core functionality of PaddleOCR, focusing on OCR engine initialization and image processing capabilities across multiple languages. It provides comprehensive testing of detection and recognition features both independently and combined.

Test Coverage Overview

The test suite provides extensive coverage of PaddleOCR’s key functionalities:

Engine initialization for multiple languages (English and Chinese)
Full OCR pipeline testing with various image inputs
Isolated testing of detection and recognition components
Edge case handling with different image formats and paths

Implementation Analysis

The testing approach utilizes pytest’s powerful parametrization and fixture features to ensure thorough validation. The implementation employs a modular structure with separate test functions for each OCR component, leveraging pytest’s parameterize decorator for efficient test case multiplication across different image inputs and language configurations.

Technical patterns include:

Fixture-based OCR engine initialization
Parametrized image path testing
Component isolation testing strategy

Technical Details

Testing Infrastructure:

Framework: pytest
Main Component: PaddleOCR class
Test Data: Multiple image files (254.jpg, img_10.jpg)
Configuration: Language-specific initialization (en, ch)
Path handling: Path library for cross-platform compatibility

Best Practices Demonstrated

The test suite exemplifies several testing best practices in its implementation:

Clear test function naming and documentation
Proper test isolation and setup
Efficient test parametrization
Type hints and annotations
Modular test organization
Comprehensive assertion patterns

paddlepaddle/paddleocr

tests/test_paddleocr.py

            
# -*- encoding: utf-8 -*-
from pathlib import Path
from typing import Any

import pytest

from paddleocr import PaddleOCR

cur_dir = Path(__file__).resolve().parent
test_file_dir = cur_dir / "test_files"

IMAGE_PATHS_OCR = [str(test_file_dir / "254.jpg"), str(test_file_dir / "img_10.jpg")]


@pytest.fixture(params=["en", "ch"])
def ocr_engine(request: Any) -> PaddleOCR:
    """
    Initialize PaddleOCR engine with different languages.

    Args:
        request: pytest fixture request object.

    Returns:
        An instance of PaddleOCR.
    """
    return PaddleOCR(lang=request.param)


def test_ocr_initialization(ocr_engine: PaddleOCR) -> None:
    """
    Test PaddleOCR initialization.

    Args:
        ocr_engine: An instance of PaddleOCR.
    """
    assert ocr_engine is not None


@pytest.mark.parametrize("image_path", IMAGE_PATHS_OCR)
def test_ocr_function(ocr_engine: PaddleOCR, image_path: str) -> None:
    """
    Test PaddleOCR OCR functionality with different images.

    Args:
        ocr_engine: An instance of PaddleOCR.
        image_path: Path to the image to be processed.
    """
    result = ocr_engine.ocr(image_path)
    assert result is not None
    assert isinstance(result, list)


@pytest.mark.parametrize("image_path", IMAGE_PATHS_OCR)
def test_ocr_det_only(ocr_engine: PaddleOCR, image_path: str) -> None:
    """
    Test PaddleOCR OCR functionality with detection only.

    Args:
        ocr_engine: An instance of PaddleOCR.
        image_path: Path to the image to be processed.
    """
    result = ocr_engine.ocr(image_path, det=True, rec=False)
    assert result is not None
    assert isinstance(result, list)


@pytest.mark.parametrize("image_path", IMAGE_PATHS_OCR)
def test_ocr_rec_only(ocr_engine: PaddleOCR, image_path: str) -> None:
    """
    Test PaddleOCR OCR functionality with recognition only.

    Args:
        ocr_engine: An instance of PaddleOCR.
        image_path: Path to the image to be processed.
    """
    result = ocr_engine.ocr(image_path, det=False, rec=True)
    assert result is not None
    assert isinstance(result, list)