{"id":17215,"date":"2025-01-03T21:08:58","date_gmt":"2025-01-03T13:08:58","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=17215"},"modified":"2025-01-03T21:08:58","modified_gmt":"2025-01-03T13:08:58","slug":"feijiangppxiliemoxing","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/feijiangppxiliemoxing\/","title":{"rendered":"\u98de\u6868PP\u7cfb\u5217\u6a21\u578b\u4e0a\u65b0\uff01PP-DocBee\u6587\u6863\u56fe\u50cf\u7406\u89e3\u7684\u65b0\u2018\u8702\u2019\u5411\u6807\uff01"},"content":{"rendered":"

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 <\/p>\n

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\"\"

\u4e1a\u52a1\u4e2d\u6587\u573a\u666f\u7ade\u54c1\u5bf9\u6bd4<\/p><\/div>\n

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\u4e3a\u8fdb\u4e00\u6b65\u63d0\u9ad8PP-DocBee\u63a8\u7406\u6027\u80fd\uff0c\u6211\u4eec\u901a\u8fc7\u7b97\u5b50\u878d\u5408\u4f18\u5316\uff0c\u5b9e\u73b0\u63a8\u7406\u8017\u65f6\u964d\u4f4e51.5%\uff0c\u7aef\u5230\u7aef\u603b\u8017\u65f6\u964d\u4f4e41.9%\uff0c\u5982\u4e0b\u8868\u6240\u793a:<\/p>\n\n\n\n\n\n
PP-DocBee<\/td>\n\u5e73\u5747\u7aef\u5230\u7aef\u8017\u65f6(s)<\/td>\n\u5e73\u5747\u9884\u5904\u7406\u8017\u65f6(s)<\/td>\n\u5e73\u5747\u63a8\u7406\u8017\u65f6(s)<\/td>\n<\/tr>\n
\u9ed8\u8ba4\u7248<\/td>\n1.60<\/td>\n0.29<\/td>\n1.30<\/td>\n<\/tr>\n
\u9ad8\u6027\u80fd\u7248<\/td>\n0.93<\/td>\n0.29<\/td>\n0.63<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u6ce8\uff1a\u9ad8\u6027\u80fd\u7248\u5728\u76f8\u540c\u8f93\u5165token\u91cf\u60c5\u51b5\u4e0b\uff0c\u8f93\u51fatoken\u91cf\u548c\u9ed8\u8ba4\u7248\u57fa\u672c\u4e00\u81f4\u3002\u5f97\u76ca\u4e8e\u98de\u6868\u9ad8\u6027\u80fd\u4f18\u5316\uff0cPP-DocBee\u54cd\u5e94\u66f4\u52a0\u8fc5\u901f\uff0c\u540c\u65f6\u4fdd\u6301\u4e86\u56de\u7b54\u7684\u8d28\u91cf\u3002\u8be5\u9ad8\u6027\u80fd\u63a8\u7406\u7248\u672c\uff0c\u5177\u4f53\u53ef\u4ee5\u53c2\u8003\uff1ahttps:\/\/github.com\/PaddlePaddle\/PaddleMIX\/tree\/develop\/deploy\/ppdocbee<\/p>\n

 <\/p>\n

\u540c\u65f6\uff0c\u6211\u4eec\u4e5f\u63d0\u4f9b\u4e86\u98de\u6868\u661f\u6cb3\u793e\u533a\u5728\u7ebf\u4f53\u9a8c\u73af\u5883\uff0c\u53ef\u4ee5\u901a\u8fc7\u98de\u6868\u661f\u6cb3\u793e\u533a\u5e94\u7528\u4e2d\u5fc3\uff08https:\/\/aistudio.baidu.com\/application\/detail\/60135\uff09\u5feb\u901f\u4f53\u9a8c PP-DocBee \u7684\u529f\u80fd\u3002<\/p>\n

\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u63d0\u4f9b\u4e86\u672c\u5730gradio\u90e8\u7f72\u3001OpenAI\u670d\u52a1\u90e8\u7f72\uff0c\u4ee5\u53ca\u8be6\u7ec6\u7684\u4f7f\u7528\u6307\u5357\uff0c\u6b22\u8fce\u5e7f\u5927\u7528\u6237\u548c\u5174\u8da3\u7231\u597d\u8005\u524d\u5f80\u9879\u76ee\u4e3b\u9875\u67e5\u770b\uff1ahttps:\/\/github.com\/PaddlePaddle\/PaddleMIX\/tree\/develop\/paddlemix\/examples\/ppdocbee<\/p>\n

 <\/p>\n

 <\/p>\n

PP-DocBee\u65b9\u6848\u4ecb\u7ecd<\/strong><\/p>\n

PP-DocBee\u6a21\u578b\u7ed3\u6784\u5982\u4e0b\u56fe\u6240\u793a\uff0c\u91c7\u7528ViT+MLP+LLM\u7684\u67b6\u6784\u3002\u9488\u5bf9\u6587\u6863\u7406\u89e3\u573a\u666f\u7684\u4f18\u5316\u601d\u8def\u5305\u62ec\u4e86\u6570\u636e\u5408\u6210\u7b56\u7565\u3001\u6570\u636e\u9884\u5904\u7406\u3001\u8bad\u7ec3\u65b9\u5f0f\u4ee5\u53caOCR\u540e\u5904\u7406\u8f85\u52a9<\/strong>\uff0c\u6700\u7ec8\u4f7f\u5f97\u6a21\u578b\u65e2\u6709\u901a\u7528\u7684\u6587\u6863\u7406\u89e3\u80fd\u529b\uff0c\u53c8\u6709\u8f83\u5f3a\u7684\u4e2d\u6587\u573a\u666f\u6587\u6863\u89e3\u6790\u80fd\u529b\u3002<\/p>\n

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PP-DocBee\u6a21\u578b\u7ed3\u6784<\/strong><\/p>\n

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1.\u6570\u636e\u5408\u6210\u7b56\u7565<\/strong><\/p>\n

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Doc\u7c7b\u6570\u636e\uff1a<\/strong><\/p>\n

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Table\u7c7b\u6570\u636e\uff1a<\/strong><\/p>\n

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Chart\u7c7b\u6570\u636e\uff1a<\/strong><\/p>\n

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2.\u6570\u636e\u9884\u5904\u7406<\/strong><\/p>\n

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