\n
🧩 \u6280\u672f\u539f\u7406\u62c6\u89e3：\u4e3a\u4ec0\u4e48\u9009\u62e9CRNN？<\/h3>\n1. CRNN\u7684\u672c\u8d28：CNN + RNN + CTC \u7684\u4e09\u91cd\u534f\u540c<\/h4>\n
CRNN \u5e76\u975e\u7b80\u5355\u7684\u5377\u79ef\u7f51\u7edc，\u800c\u662f\u5c06\u5377\u79ef\u795e\u7ecf\u7f51\u7edc（CNN）\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc（RNN） \u548c CTC\u635f\u5931\u51fd\u6570（Connectionist Temporal Classification） \u6709\u673a\u7ed3\u5408\u7684\u7aef\u5230\u7aef\u5e8f\u5217\u8bc6\u522b\u6a21\u578b\u3002<\/p>\n
\u5176\u5de5\u4f5c\u6d41\u7a0b\u53ef\u5206\u4e3a\u4e09\u4e2a\u9636\u6bb5：<\/p>\n
\u7279\u5f81\u63d0\u53d6（CNN） \u4f7f\u7528\u5377\u79ef\u5c42\u5c06\u8f93\u5165\u56fe\u50cf\u8f6c\u6362\u4e3a\u4e00\u7cfb\u5217\u9ad8\u5c42\u7279\u5f81\u56fe，\u4fdd\u7559\u7a7a\u95f4\u7ed3\u6784\u4fe1\u606f\u7684\u540c\u65f6\u538b\u7f29\u901a\u9053\u7ef4\u5ea6\u3002<\/p>\n<\/li>\n
\u5e8f\u5217\u5efa\u6a21（RNN） \u5c06\u7279\u5f81\u56fe\u6309\u5217\u5207\u7247，\u9001\u5165\u53cc\u5411LSTM\u7f51\u7edc，\u6355\u6349\u5b57\u7b26\u95f4\u7684\u4e0a\u4e0b\u6587\u4f9d\u8d56\u5173\u7cfb，\u89e3\u51b3\u8fde\u7b14\u3001\u6a21\u7cca\u7b49\u95ee\u9898\u3002<\/p>\n<\/li>\n
\u6807\u7b7e\u5bf9\u9f50（CTC） \u5f15\u5165CTC\u89e3\u7801\u673a\u5236，\u65e0\u9700\u9884\u5148\u5206\u5272\u5b57\u7b26，\u76f4\u63a5\u8f93\u51fa\u5b8c\u6574\u6587\u672c\u5e8f\u5217，\u6781\u5927\u7b80\u5316\u4e86\u8bad\u7ec3\u4e0e\u63a8\u7406\u6d41\u7a0b\u3002<\/p>\n<\/li>\n
\u8fd9\u79cd\u8bbe\u8ba1\u7279\u522b\u9002\u5408\u5904\u7406\u4e0d\u5b9a\u957f\u6587\u672c\u884c\u8bc6\u522b\u4efb\u52a1，\u4f8b\u5982\u626b\u63cf\u6587\u6863\u4e2d\u7684\u6bb5\u843d\u3001\u8857\u8fb9\u5e7f\u544a\u724c\u7b49\u81ea\u7136\u573a\u666f\u6587\u5b57\u3002<\/p>\n
2. \u76f8\u6bd4YOLO-Oriented OCR\u7684\u4f18\u52bf<\/h4>\n
\u90e8\u5206\u73b0\u4ee3OCR\u7cfb\u7edf\u91c7\u7528\u201c\u68c0\u6d4b+\u8bc6\u522b\u201d\u4e24\u9636\u6bb5\u6a21\u5f0f（\u5982PaddleOCR），\u5148\u5b9a\u4f4d\u6587\u5b57\u533a\u57df\u518d\u9010\u4e2a\u8bc6\u522b\u3002\u8fd9\u79cd\u65b9\u5f0f\u7cbe\u5ea6\u9ad8\u4f46\u8ba1\u7b97\u5f00\u9500\u5927，\u4e14\u9700\u8981GPU\u52a0\u901f\u3002<\/p>\n
\u800c\u672c\u9879\u76ee\u91c7\u7528\u7684\u662f\u5355\u9636\u6bb5\u6587\u672c\u884c\u8bc6\u522b\u7b56\u7565，\u5047\u8bbe\u8f93\u5165\u56fe\u7247\u5df2\u88c1\u526a\u51fa\u6e05\u6670\u7684\u6587\u5b57\u533a\u57df（\u5982\u53d1\u7968\u91d1\u989d\u680f\u3001\u8bc1\u4ef6\u59d3\u540d\u6846）\u3002\u5728\u8fd9\u79cd\u524d\u63d0\u4e0b，CRNN\u4e0d\u4ec5\u901f\u5ea6\u5feb，\u800c\u4e14\u5728\u5c0f\u6837\u672c\u3001\u4f4e\u7b97\u529b\u73af\u5883\u4e0b\u4ecd\u80fd\u4fdd\u6301\u826f\u597d\u6027\u80fd\u3002<\/p>\n
| \u5bf9\u6bd4\u7ef4\u5ea6 | CRNN（\u672c\u65b9\u6848） | YOLO+Recognition（\u4e24\u9636\u6bb5） | |—————-|————————|—————————-| | \u662f\u5426\u9700GPU | \u274c \u652f\u6301\u7eafCPU | \u2705 \u5efa\u8bae\u914d\u5907GPU | | \u63a8\u7406\u901f\u5ea6 | \u26a1 < 1s（CPU） | 🐢 1~3s（CPU\u8f83\u6162） | | \u5185\u5b58\u5360\u7528 | ~400MB | >1GB | | \u4e2d\u6587\u8bc6\u522b\u51c6\u786e\u7387 | 92%~96%（\u6e05\u6670\u56fe） | 95%~98% | | \u90e8\u7f72\u590d\u6742\u5ea6 | \u5355\u6a21\u578b，\u6613\u7ef4\u62a4 | \u591a\u6a21\u5757\u8026\u5408，\u8c03\u8bd5\u56f0\u96be |<\/p>\n
📌 \u9002\u7528\u7ed3\u8bba：\u5982\u679c\u4f60\u7684\u5e94\u7528\u573a\u666f\u4e3b\u8981\u662f\u56fa\u5b9a\u683c\u5f0f\u8868\u5355\u8bc6\u522b\u3001\u7ed3\u6784\u5316\u56fe\u50cfOCR\u3001\u5df2\u6709\u6587\u5b57\u533a\u57df\u88c1\u526a\u7ed3\u679c，\u90a3\u4e48CRNN\u662f\u6027\u4ef7\u6bd4\u6781\u9ad8\u7684\u9009\u62e9\u3002<\/p>\n
\n
🚀 \u5feb\u901f\u90e8\u7f72\u6307\u5357：\u4e09\u6b65\u542f\u52a8\u4f60\u7684\u79c1\u6709OCR\u670d\u52a1<\/h3>\n\u6b65\u9aa41：\u51c6\u5907\u8fd0\u884c\u73af\u5883<\/h4>\n
\u672c\u670d\u52a1\u4ee5 Docker\u955c\u50cf \u5f62\u5f0f\u53d1\u5e03，\u652f\u6301x86_64\u67b6\u6784\u7684Linux\/Windows\/MacOS\u7cfb\u7edf\u3002\u786e\u4fdd\u4f60\u7684\u670d\u52a1\u5668\u5df2\u5b89\u88c5：<\/p>\n
- \n
- Docker Engine \u2265 20.10<\/li>\n
- Python 3.7+（\u4ec5\u7528\u4e8eAPI\u6d4b\u8bd5）<\/li>\n
- \u81f3\u5c112\u6838CPU\u30012GB\u5185\u5b58<\/li>\n<\/ul>\n
# \u62c9\u53d6\u955c\u50cf（\u5047\u8bbe\u955c\u50cf\u6258\u7ba1\u4e8e\u516c\u5f00\u4ed3\u5e93）
\ndocker pull ocr-service\/crnn-ocr:cpu-latest<\/p>\n# \u542f\u52a8\u5bb9\u5668，\u6620\u5c04Web\u7aef\u53e38080
\ndocker run -d –name crnn-ocr \\\\
\n -p 8080:8080 \\\\
\n ocr-service\/crnn-ocr:cpu-latest<\/p>\n\u542f\u52a8\u6210\u529f\u540e，\u53ef\u901a\u8fc7 docker logs -f crnn-ocr \u67e5\u770b\u65e5\u5fd7，\u786e\u8ba4\u6a21\u578b\u52a0\u8f7d\u5b8c\u6210\u3002<\/p>\n
\n\u6b65\u9aa42：\u4f7f\u7528WebUI\u8fdb\u884c\u56fe\u5f62\u5316\u8bc6\u522b<\/h4>\n
- \u6d4f\u89c8\u5668\u8bbf\u95ee http:\/\/<your-server-ip>:8080<\/li>\n
- \u70b9\u51fb\u5de6\u4fa7 \u201c\u4e0a\u4f20\u56fe\u7247\u201d \u6309\u94ae，\u652f\u6301 JPG\/PNG\/BMP \u683c\u5f0f<\/li>\n
- \u53ef\u8bc6\u522b\u5178\u578b\u573a\u666f\u5305\u62ec：<\/li>\n
- \u53d1\u7968\u62ac\u5934\u4e0e\u91d1\u989d<\/li>\n
- \u8eab\u4efd\u8bc1\u59d3\u540d\u4e0e\u53f7\u7801<\/li>\n
- \u8857\u9053\u8def\u724c\u6807\u8bc6<\/li>\n
- \u624b\u5199\u7b14\u8bb0\u7247\u6bb5<\/li>\n
- \u70b9\u51fb \u201c\u5f00\u59cb\u9ad8\u7cbe\u5ea6\u8bc6\u522b\u201d，\u53f3\u4fa7\u5b9e\u65f6\u663e\u793a\u8bc6\u522b\u7ed3\u679c<\/li>\n
![\"WebUI\u754c\u9762\u793a\u610f\u56fe\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260114045023-6967208f85599.png\")
<\/p>\n🔍 \u56fe\u50cf\u9884\u5904\u7406\u8bf4\u660e：\u4e0a\u4f20\u540e\u7cfb\u7edf\u4f1a\u81ea\u52a8\u6267\u884c\u4ee5\u4e0b\u589e\u5f3a\u64cd\u4f5c：<\/p>\n
- \n
- \u81ea\u52a8\u7070\u5ea6\u5316（\u51cf\u5c11\u8272\u5f69\u566a\u58f0）<\/li>\n
- \u81ea\u9002\u5e94\u76f4\u65b9\u56fe\u5747\u8861\u5316（\u63d0\u5347\u5bf9\u6bd4\u5ea6）<\/li>\n
- \u56fe\u50cf\u7f29\u653e\u81f3\u9ad8\u5ea632px，\u5bbd\u5ea6\u7b49\u6bd4\u62c9\u4f38（\u9002\u914d\u6a21\u578b\u8f93\u5165）<\/li>\n
- \u8fb9\u7f18\u586b\u5145\u81f3\u7edf\u4e00\u5c3a\u5bf8（\u907f\u514d\u5f62\u53d8）<\/li>\n<\/ul>\n
\u8fd9\u4e9b\u5904\u7406\u663e\u8457\u63d0\u5347\u4e86\u6a21\u7cca\u3001\u66dd\u5149\u4e0d\u8db3\u6216\u80cc\u5149\u56fe\u50cf\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n
\n\u6b65\u9aa43：\u901a\u8fc7API\u96c6\u6210\u5230\u4e1a\u52a1\u7cfb\u7edf<\/h4>\n
\u9664\u4e86Web\u754c\u9762，\u4f60\u8fd8\u53ef\u4ee5\u5c06OCR\u80fd\u529b\u5d4c\u5165\u5230\u81ea\u52a8\u5316\u811a\u672c\u3001\u5ba1\u6279\u6d41\u7cfb\u7edf\u6216\u79fb\u52a8\u7aef\u540e\u53f0\u4e2d\u3002<\/p>\n
🔹 API\u63a5\u53e3\u5b9a\u4e49<\/h5>\n
- \n
- \u5730\u5740：POST http:\/\/<your-server-ip>:8080\/api\/ocr<\/li>\n
- Content-Type：multipart\/form-data<\/li>\n
- \u53c2\u6570：<\/li>\n
- image: \u56fe\u7247\u6587\u4ef6（\u5fc5\u586b）<\/li>\n
- rotate: \u662f\u5426\u81ea\u52a8\u65cb\u8f6c\u6821\u6b63（\u53ef\u9009，\u9ed8\u8ba4false）<\/li>\n<\/ul>\n
🔹 Python\u8c03\u7528\u793a\u4f8b<\/h5>\n
import requests<\/p>\n
def ocr_recognition(image_path):
\n url = "http:\/\/your-server-ip:8080\/api\/ocr"<\/p>\nwith open(image_path, 'rb') as f:
\n files = {'image': ('upload.jpg', f, 'image\/jpeg')}
\n data = {'rotate': 'true'}<\/p>\nresponse = requests.post(url, files=files, data=data)<\/p>\n
if response.status_code == 200:
\n result = response.json()
\n print("\u2705 \u8bc6\u522b\u6210\u529f！")
\n for item in result['text_lines']:
\n print(f"\u6587\u5b57: {item['text']}, \u7f6e\u4fe1\u5ea6: {item['confidence']:.3f}")
\n else:
\n print(f"\u274c \u8bf7\u6c42\u5931\u8d25: {response.status_code}, {response.text}")<\/p>\n# \u8c03\u7528\u793a\u4f8b
\nocr_recognition(".\/invoice_sample.jpg")<\/p>\n🔹 \u8fd4\u56deJSON\u7ed3\u6784\u8bf4\u660e<\/h5>\n
{
\n "success": true,
\n "text_lines": [
\n {
\n "text": "\u5317\u4eac\u5e02\u671d\u9633\u533a\u5efa\u56fd\u95e8\u5916\u5927\u88571\u53f7",
\n "confidence": 0.976,
\n "box": [120, 45, 320, 60]
\n },
\n {
\n "text": "\u53d1\u7968\u4ee3\u7801：110023456789",
\n "confidence": 0.982,
\n "box": [110, 70, 280, 85]
\n }
\n ],
\n "total_time": 0.87
\n}<\/p>\n\u5b57\u6bb5\u8bf4\u660e：<\/p>\n
- \n
- text: \u8bc6\u522b\u51fa\u7684\u6587\u672c\u5185\u5bb9<\/li>\n
- confidence: \u7f6e\u4fe1\u5ea6（0~1），\u53ef\u7528\u4e8e\u8fc7\u6ee4\u4f4e\u8d28\u91cf\u7ed3\u679c<\/li>\n
- box: \u6587\u672c\u6240\u5728\u5750\u6807\u6846（\u5de6\u4e0ax,y，\u53f3\u4e0bx,y）<\/li>\n
- total_time: \u6574\u4f53\u5904\u7406\u8017\u65f6（\u79d2）<\/li>\n<\/ul>\n
\n\u2699\ufe0f \u6027\u80fd\u4f18\u5316\u4e0e\u5e38\u89c1\u95ee\u9898\u5e94\u5bf9<\/h3>\n
1. \u63d0\u5347\u8bc6\u522b\u51c6\u786e\u7387\u7684\u5b9e\u7528\u6280\u5de7<\/h4>\n
\u5c3d\u7ba1CRNN\u672c\u8eab\u5177\u5907\u8f83\u5f3a\u6cdb\u5316\u80fd\u529b，\u4f46\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u4ecd\u53ef\u80fd\u9047\u5230\u8bc6\u522b\u9519\u8bef\u3002\u4ee5\u4e0b\u662f\u51e0\u79cd\u6709\u6548\u7684\u4f18\u5316\u624b\u6bb5：<\/p>\n
| \u95ee\u9898\u7c7b\u578b | \u89e3\u51b3\u65b9\u6848 | |——————–|——————————————| | \u56fe\u50cf\u6a21\u7cca | \u524d\u7aef\u589e\u52a0\u8d85\u5206\u9884\u5904\u7406（\u53ef\u7528ESRGAN\u8f7b\u91cf\u6a21\u578b） | | \u5b57\u4f53\u8fc7\u5c0f（<8pt） | \u5728\u4e0a\u4f20\u524d\u653e\u5927\u56fe\u50cf2\u500d | | \u80cc\u666f\u6742\u4e71 | \u624b\u52a8\u88c1\u526a\u4ec5\u542b\u6587\u5b57\u533a\u57df | | \u624b\u5199\u4f53\u6f66\u8349 | \u542f\u7528rotate=true\u5c1d\u8bd5\u89d2\u5ea6\u6821\u6b63 |<\/p>\n
💡 \u5efa\u8bae：\u5bf9\u4e8e\u56fa\u5b9a\u6a21\u677f\u7c7b\u6587\u6863（\u5982\u62a5\u9500\u5355\u3001\u5de5\u5355），\u53ef\u7ed3\u5408\u89c4\u5219\u5f15\u64ce\u505a\u540e\u5904\u7406，\u4f8b\u5982\u7528\u6b63\u5219\u5339\u914d\u8eab\u4efd\u8bc1\u53f7\u3001\u624b\u673a\u53f7\u683c\u5f0f，\u8fdb\u4e00\u6b65\u63d0\u9ad8\u7ed3\u6784\u5316\u63d0\u53d6\u51c6\u786e\u7387\u3002<\/p>\n
\n2. CPU\u6027\u80fd\u8c03\u4f18\u5efa\u8bae<\/h4>\n
\u7531\u4e8e\u5168\u7a0b\u8fd0\u884c\u5728CPU\u4e0a，\u5408\u7406\u914d\u7f6e\u80fd\u663e\u8457\u6539\u5584\u5e76\u53d1\u80fd\u529b：<\/p>\n
- \n
- \u542f\u7528ONNX Runtime\u4f18\u5316：\u5c06PyTorch\u6a21\u578b\u8f6c\u4e3aONNX\u683c\u5f0f，\u5e76\u4f7f\u7528onnxruntime-cpu\u8fd0\u884c\u65f6，\u63d0\u901f\u7ea630%<\/li>\n
- \u6279\u5904\u7406\u63a8\u7406：\u82e5\u6709\u591a\u5f20\u56fe\u7247\u5f85\u8bc6\u522b，\u5408\u5e76\u4e3abatch\u8f93\u5165，\u964d\u4f4eI\/O\u5f00\u9500<\/li>\n
- \u9650\u5236\u7ebf\u7a0b\u6570：\u8bbe\u7f6eOMP_NUM_THREADS=4\u9632\u6b62\u8fc7\u5ea6\u62a2\u5360\u8d44\u6e90<\/li>\n<\/ul>\n
\u4fee\u6539Docker\u542f\u52a8\u547d\u4ee4\u5982\u4e0b：<\/p>\n
docker run -d –name crnn-ocr \\\\
\n -p 8080:8080 \\\\
\n -e OMP_NUM_THREADS=4 \\\\
\n ocr-service\/crnn-ocr:onnx-cpu<\/p>\n
\n3. \u5b89\u5168\u4e0e\u6743\u9650\u63a7\u5236（\u8fdb\u9636）<\/h4>\n
\u9ed8\u8ba4\u955c\u50cf\u672a\u5f00\u542f\u8ba4\u8bc1\u673a\u5236，\u82e5\u90e8\u7f72\u5728\u516c\u7f51\u73af\u5883，\u5efa\u8bae\u6dfb\u52a0\u53cd\u5411\u4ee3\u7406\u5c42\u8fdb\u884c\u4fdd\u62a4：<\/p>\n
# Nginx\u914d\u7f6e\u7247\u6bb5
\nlocation \/ {
\n auth_basic "Private OCR Service";
\n auth_basic_user_file \/etc\/nginx\/.htpasswd;
\n proxy_pass http:\/\/127.0.0.1:8080;
\n}<\/p>\n\u751f\u6210\u5bc6\u7801\u6587\u4ef6：<\/p>\n
htpasswd -c \/etc\/nginx\/.htpasswd admin<\/p>\n
\u9632\u6b62\u672a\u6388\u6743\u8bbf\u95ee\u5bfc\u81f4\u8d44\u6e90\u6ee5\u7528\u3002<\/p>\n
\n💡 \u5b9e\u9645\u5e94\u7528\u573a\u666f\u63a8\u8350<\/h3>\n
\u8fd9\u5957OCR\u7cfb\u7edf\u5df2\u5728\u591a\u4e2a\u771f\u5b9e\u9879\u76ee\u4e2d\u9a8c\u8bc1\u53ef\u884c\u6027，\u63a8\u8350\u4ee5\u4e0b\u4f4e\u6210\u672c\u843d\u5730\u573a\u666f：<\/p>\n
\u2705 \u573a\u666f1：\u4e2d\u5c0f\u4f01\u4e1a\u7535\u5b50\u6863\u6848\u7ba1\u7406<\/h4>\n
- \n
- \u626b\u63cf\u7eb8\u8d28\u5408\u540c \u2192 \u81ea\u52a8\u63d0\u53d6\u7b7e\u7f72\u65b9\u540d\u79f0\u3001\u65e5\u671f \u2192 \u5b58\u5165\u6570\u636e\u5e93<\/li>\n
- \u6210\u672c\u8282\u7ea6：\u66ff\u4ee3\u6bcf\u5e74\u6570\u5343\u5143\u7684SaaS OCR\u8ba2\u9605\u8d39<\/li>\n<\/ul>\n
\u2705 \u573a\u666f2：\u6821\u56ed\u6559\u52a1\u7cfb\u7edf\u8f85\u52a9\u5f55\u5165<\/h4>\n
- \n
- \u5b66\u751f\u624b\u5199\u7533\u8bf7\u8868\u62cd\u7167\u4e0a\u4f20 \u2192 \u63d0\u53d6\u5173\u952e\u5b57\u6bb5 \u2192 \u81ea\u52a8\u751f\u6210Excel<\/li>\n
- \u6570\u636e\u5b89\u5168：\u6240\u6709\u4fe1\u606f\u4fdd\u7559\u5728\u6821\u5185\u670d\u52a1\u5668，\u7b26\u5408\u6559\u80b2\u6570\u636e\u89c4\u8303<\/li>\n<\/ul>\n
\u2705 \u573a\u666f3：\u793e\u533a\u57fa\u5c42\u6cbb\u7406\u53f0\u8d26\u6570\u5b57\u5316<\/h4>\n
- \n
- \u5c45\u6c11\u767b\u8bb0\u8868\u3001\u5de1\u67e5\u8bb0\u5f55\u62cd\u7167 \u2192 \u5feb\u901f\u8f6c\u6587\u5b57 \u2192 \u5f52\u6863\u68c0\u7d22<\/li>\n
- \u8bbe\u5907\u517c\u5bb9：\u53ef\u5728\u6811\u8393\u6d3e\u6216\u8001\u65e7\u53f0\u5f0f\u673a\u4e0a\u8fd0\u884c<\/li>\n<\/ul>\n
\n🎯 \u603b\u7ed3：\u5982\u4f55\u6700\u5927\u5316\u5229\u7528\u73b0\u6709\u8d44\u6e90\u6253\u9020OCR\u80fd\u529b<\/h3>\n
\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u79cd\u6781\u5177\u6027\u4ef7\u6bd4\u7684OCR\u843d\u5730\u8def\u5f84：\u5229\u7528\u5f00\u6e90CRNN\u6a21\u578b + \u514d\u8d39Docker\u955c\u50cf + \u73b0\u6709\u670d\u52a1\u5668\u8d44\u6e90，\u5b9e\u73b0\u96f6\u6210\u672c\u3001\u9ad8\u53ef\u7528\u7684\u6587\u5b57\u8bc6\u522b\u670d\u52a1\u3002<\/p>\n
📌 \u6838\u5fc3\u4ef7\u503c\u603b\u7ed3<\/p>\n
- \n
- \u7ecf\u6d4e\u6027：\u4e00\u6b21\u6027\u90e8\u7f72，\u6c38\u4e45\u514d\u53bbAPI\u8c03\u7528\u8d39\u7528<\/li>\n
- \u5b89\u5168\u6027：\u6570\u636e\u4e0d\u51fa\u5185\u7f51，\u675c\u7edd\u9690\u79c1\u6cc4\u9732\u98ce\u9669<\/li>\n
- \u5b9e\u7528\u6027：\u652f\u6301Web\u4e0eAPI\u53cc\u6a21\u5f0f，\u6613\u4e8e\u96c6\u6210<\/li>\n
- \u8f7b\u91cf\u5316：\u7eafCPU\u8fd0\u884c，\u8001\u65e7\u8bbe\u5907\u4e5f\u80fd\u627f\u8f7d<\/li>\n<\/ul>\n
\u5bf9\u4e8e\u9884\u7b97\u6709\u9650\u4f46\u53c8\u6709\u6301\u7eedOCR\u9700\u6c42\u7684\u56e2\u961f\u6765\u8bf4，\u8fd9\u662f\u4e00\u6761\u503c\u5f97\u5c1d\u8bd5\u7684\u6280\u672f\u8def\u7ebf\u3002\u672a\u6765\u4e5f\u53ef\u5728\u6b64\u57fa\u7840\u4e0a\u6269\u5c55\u66f4\u591a\u529f\u80fd，\u5982PDF\u6279\u91cf\u89e3\u6790\u3001\u591a\u8bed\u8a00\u652f\u6301\u3001\u8868\u683c\u7ed3\u6784\u8fd8\u539f\u7b49\u3002<\/p>\n
\n📚 \u4e0b\u4e00\u6b65\u5b66\u4e60\u5efa\u8bae<\/h3>\n
\u5982\u679c\u4f60\u60f3\u6df1\u5165\u5b9a\u5236\u6216\u4f18\u5316\u8be5OCR\u7cfb\u7edf，\u63a8\u8350\u4ee5\u4e0b\u5b66\u4e60\u8def\u5f84：<\/p>\n
- \u638c\u63e1CRNN\u6e90\u7801\u5b9e\u73b0：\u9605\u8bfb ModelScope OCR \u793a\u4f8b \u4e2d\u7684\u8bad\u7ec3\u4ee3\u7801<\/li>\n
- \u5b66\u4e60ONNX\u6a21\u578b\u8f6c\u6362：\u4e86\u89e3\u5982\u4f55\u5c06PyTorch\u6a21\u578b\u5bfc\u51fa\u5e76\u4f18\u5316<\/li>\n
- \u63a2\u7d22Layout Parser：\u7ed3\u5408\u5e03\u5c40\u5206\u6790\u6a21\u578b，\u5b9e\u73b0\u6574\u9875\u6587\u6863\u7406\u89e3<\/li>\n
- \u52a0\u5165\u793e\u533a\u8d21\u732e：\u8be5\u9879\u76ee\u901a\u5e38\u5f00\u6e90\u5728GitHub，\u53ef\u63d0\u4ea4\u9884\u5904\u7406\u7b97\u6cd5\u6539\u8fdb<\/li>\n
🔗 \u83b7\u53d6\u955c\u50cf\u4e0e\u6e90\u7801：\u8bf7\u641c\u7d22 crnn-ocr-cpu-docker \u6216\u8054\u7cfb\u4f5c\u8005\u83b7\u53d6\u6700\u65b0\u7248\u672c\u94fe\u63a5<\/p>\n
\u8ba9\u6bcf\u4e00\u5206IT\u6295\u5165\u90fd\u4ea7\u751f\u6700\u5927\u56de\u62a5\u2014\u2014\u8fd9\u624d\u662f\u6280\u672f\u4eba\u7684\u7701\u94b1\u667a\u6167\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
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\n📖 OCR \u6587\u5b57\u8bc6\u522b\u7684\u73b0\u5b9e\u9700\u6c42\u4e0e\u6210\u672c\u75db\u70b9
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