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71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import sys
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import os
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import logging
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from paddleocr import PaddleOCR
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# 添加当前目录到Python路径
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current_dir = os.path.dirname(os.path.abspath(__file__))
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if current_dir not in sys.path:
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sys.path.append(current_dir)
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# 导入ImageParser
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from parser.image_parser import ImageParser
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# 配置日志
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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datefmt="%Y-%m-%d %H:%M:%S",
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)
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logger = logging.getLogger(__name__)
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def init_ocr_model():
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"""Initialize PaddleOCR model to pre-download and cache models"""
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try:
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logger.info("Initializing PaddleOCR model for pre-download...")
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# 使用与代码中相同的配置
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ocr_config = {
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"use_gpu": False,
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"text_det_limit_type": "max",
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"text_det_limit_side_len": 960,
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"use_doc_orientation_classify": True, # 启用文档方向分类
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"use_doc_unwarping": False,
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"use_textline_orientation": True, # 启用文本行方向检测
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"text_recognition_model_name": "PP-OCRv4_server_rec",
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"text_detection_model_name": "PP-OCRv4_server_det",
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"text_det_thresh": 0.3,
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"text_det_box_thresh": 0.6,
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"text_det_unclip_ratio": 1.5,
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"text_rec_score_thresh": 0.0,
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"ocr_version": "PP-OCRv4",
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"lang": "ch",
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"show_log": False,
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"use_dilation": True,
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"det_db_score_mode": "slow",
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}
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# 初始化PaddleOCR，这会触发模型下载和缓存
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ocr = PaddleOCR(**ocr_config)
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logger.info("PaddleOCR model initialization completed successfully")
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# 测试OCR功能以确保模型正常工作
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import numpy as np
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from PIL import Image
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# 创建一个简单的测试图像
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test_image = np.ones((100, 300, 3), dtype=np.uint8) * 255
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test_pil = Image.fromarray(test_image)
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# 执行一次OCR测试
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result = ocr.ocr(np.array(test_pil), cls=False)
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logger.info("PaddleOCR test completed successfully")
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except Exception as e:
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logger.error(f"Failed to initialize PaddleOCR model: {str(e)}")
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raise
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