{"id":1948,"date":"2023-11-28T16:15:32","date_gmt":"2023-11-28T08:15:32","guid":{"rendered":"http:\/\/zhang.mba\/?p=1948"},"modified":"2023-11-28T16:23:42","modified_gmt":"2023-11-28T08:23:42","slug":"zhong-bang-tui-jianpaddleocr-chao-yue-ren-yan-shi","status":"publish","type":"post","link":"https:\/\/zhang.mba\/index.php\/2023\/11\/28\/16\/15\/32\/1948\/zhong-bang-tui-jianpaddleocr-chao-yue-ren-yan-shi\/python\/zhangzhiqi\/","title":{"rendered":"PaddleOCR\uff1a\u8d85\u8d8a\u4eba\u773c\u8bc6\u522b\u7387\u7684AI\u6587\u5b57\u8bc6\u522b\u795e\u5668\uff01"},"content":{"rendered":"

\u5bfc\u8bed\uff1a\u5728\u5f53\u4eca\u6570\u5b57\u5316\u65f6\u4ee3\uff0c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5df2\u7ecf\u6e17\u900f\u5230\u5404\u4e2a\u9886\u57df\u3002\u5176\u4e2d\uff0cOCR\uff08Optical Character Recognition\uff09\u6280\u672f\u5c06\u56fe\u50cf\u4e2d\u7684\u6587\u5b57\u8f6c\u5316\u4e3a\u53ef\u7f16\u8f91\u7684\u6587\u672c\uff0c\u4e3a\u4f17\u591a\u884c\u4e1a\u5e26\u6765\u4e86\u6781\u5927\u7684\u4fbf\u5229\u3002PaddleOCR\u662f\u4e00\u6b3e\u7531\u767e\u5ea6\u7814\u53d1\u7684OCR\u5f00\u6e90\u5de5\u5177\uff0c\u5177\u6709\u6781\u9ad8\u7684\u51c6\u786e\u7387\u548c\u6613\u7528\u6027\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecdPaddleOCR\u7684\u57fa\u672c\u539f\u7406\u3001\u529f\u80fd\u7279\u70b9\u3001\u4f7f\u7528\u65b9\u6cd5\u4ee5\u53ca\u5e94\u7528\u573a\u666f\uff0c\u5e2e\u52a9\u4f60\u5168\u9762\u4e86\u89e3\u8fd9\u4e00\u5f3a\u5927\u7684OCR\u5de5\u5177\u3002<\/p>\n

\u4e00\u3001PaddleOCR\u57fa\u672c\u539f\u7406<\/p>\n

PaddleOCR\u57fa\u4e8e\u767e\u5ea6\u81ea\u4e3b\u7814\u53d1\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6PaddlePaddle\uff0c\u91c7\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u548c\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u7b49\u6280\u672f\uff0c\u5b9e\u73b0\u5bf9\u56fe\u50cf\u4e2d\u6587\u5b57\u7684\u8bc6\u522b\u548c\u8f6c\u6362\u3002\u5176\u6838\u5fc3\u7b97\u6cd5\u7ecf\u8fc7\u4f18\u5316\uff0c\u53ef\u9ad8\u6548\u5904\u7406\u591a\u79cd\u5b57\u4f53\u3001\u5b57\u53f7\u3001\u5b57\u5f62\u7684\u6587\u5b57\u56fe\u50cf\uff0c\u51c6\u786e\u7387\u9ad8\u8fbe99%\u4ee5\u4e0a\u3002<\/p>\n

\u4e8c\u3001PaddleOCR\u529f\u80fd\u7279\u70b9<\/p>\n

    \n
  1. \n

    \u9ad8\u51c6\u786e\u7387\uff1aPaddleOCR\u7684\u7b97\u6cd5\u7ecf\u8fc7\u7cbe\u5fc3\u8bbe\u8ba1\u548c\u4f18\u5316\uff0c\u53ef\u51c6\u786e\u8bc6\u522b\u4e0d\u540c\u5b57\u4f53\u3001\u5b57\u53f7\u3001\u5b57\u5f62\u7684\u6587\u5b57\u56fe\u50cf\uff0c\u5b9e\u73b0\u8d85\u8d8a\u4eba\u773c\u8bc6\u522b\u7387\u7684\u51c6\u786e\u7387\u3002<\/p>\n<\/li>\n

  2. \n

    \u591a\u8bed\u8a00\u652f\u6301\uff1aPaddleOCR\u652f\u6301\u591a\u79cd\u8bed\u8a00\uff0c\u5305\u62ec\u4e2d\u6587\u3001\u82f1\u6587\u3001\u65e5\u6587\u3001\u97e9\u6587\u7b49\uff0c\u6ee1\u8db3\u4e0d\u540c\u56fd\u5bb6\u548c\u5730\u533a\u7684\u9700\u6c42\u3002<\/p>\n<\/li>\n

  3. \n

    \u5b9e\u65f6\u9884\u89c8\uff1aPaddleOCR\u5177\u5907\u5b9e\u65f6\u9884\u89c8\u529f\u80fd\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u9884\u89c8\u4e2d\u67e5\u770b\u6587\u5b57\u8bc6\u522b\u7684\u7ed3\u679c\uff0c\u65b9\u4fbf\u53ca\u65f6\u8c03\u6574\u548c\u4fee\u6b63\u3002<\/p>\n<\/li>\n

  4. \n

    \u6279\u91cf\u5904\u7406\uff1aPaddleOCR\u652f\u6301\u6279\u91cf\u5904\u7406\uff0c\u7528\u6237\u53ef\u4ee5\u4e00\u6b21\u6027\u4e0a\u4f20\u591a\u4e2a\u56fe\u7247\u8fdb\u884c\u6587\u5b57\u8bc6\u522b\uff0c\u6781\u5927\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/li>\n

  5. \n

    API\u63a5\u53e3\uff1aPaddleOCR\u63d0\u4f9b\u7b80\u6d01\u660e\u4e86\u7684API\u63a5\u53e3\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u96c6\u6210\u5230\u81ea\u5df1\u7684\u5e94\u7528\u7a0b\u5e8f\u4e2d\uff0c\u5b9e\u73b0OCR\u529f\u80fd\u7684\u5feb\u901f\u5f00\u53d1\u548c\u90e8\u7f72\u3002<\/p>\n<\/li>\n

  6. \n

    \u8bad\u7ec3\u5b9a\u5236\uff1aPaddleOCR\u652f\u6301\u7528\u6237\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u548c\u5b9a\u5236\uff0c\u6ee1\u8db3\u7279\u5b9a\u573a\u666f\u4e0b\u7684OCR\u9700\u6c42\u3002<\/p>\n<\/li>\n<\/ol>\n

    \u4e09\u3001PaddleOCR\u4f7f\u7528\u65b9\u6cd5<\/p>\n

      \n
    1. \u5b89\u88c5PaddleOCR\uff1a\u7528\u6237\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u5b89\u88c5PaddleOCR\u5de5\u5177\u5305\uff1a<\/li>\n<\/ol>\n
      shell\u590d\u5236\u4ee3\u7801pip install paddlepaddle paddleocr\n<\/code><\/pre>\n
        \n
      1. \u5bfc\u5165\u4f9d\u8d56\u5e93\uff1a\u5728Python\u4ee3\u7801\u4e2d\u5bfc\u5165PaddleOCR\u76f8\u5173\u4f9d\u8d56\u5e93\uff1a<\/li>\n<\/ol>\n
        import paddleocr\n<\/code><\/pre>\n
          \n
        1. \n
          \u51c6\u5907\u6570\u636e\u96c6\uff1a\u4e3a\u4e86\u4f7f\u7528PaddleOCR\u8fdb\u884c\u6587\u5b57\u8bc6\u522b\uff0c\u7528\u6237\u9700\u8981\u51c6\u5907\u5305\u542b\u6587\u5b57\u56fe\u50cf\u7684\u6570\u636e\u96c6\u3002\u8fd9\u4e9b\u56fe\u50cf\u53ef\u4ee5\u662f\u4ece\u7f51\u7edc\u4e0a\u4e0b\u8f7d\u7684\uff0c\u4e5f\u53ef\u4ee5\u662f\u7528\u6237\u81ea\u5df1\u62cd\u6444\u6216\u751f\u6210\u7684\u3002\u6570\u636e\u96c6\u4e2d\u7684\u56fe\u50cf\u5e94\u5c3d\u53ef\u80fd\u6e05\u6670\u3001\u660e\u4eae\uff0c\u4ee5\u4fbf\u4e8e\u6a21\u578b\u8fdb\u884c\u51c6\u786e\u8bc6\u522b\u3002<\/p>\n<\/li>\n
        2. \n
          \u6a21\u578b\u8bad\u7ec3\uff1a\u4f7f\u7528PaddleOCR\u63d0\u4f9b\u7684\u8bad\u7ec3\u811a\u672c\uff0c\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u8bad\u7ec3\uff0c\u751f\u6210\u9002\u7528\u4e8e\u81ea\u5df1\u573a\u666f\u7684OCR\u6a21\u578b\u3002\u8bad\u7ec3\u811a\u672c\u7684\u4f7f\u7528\u65b9\u6cd5\u53ef\u4ee5\u53c2\u8003\u5b98\u65b9\u6587\u6863\u6216\u8005\u76f8\u5173\u6559\u7a0b\u3002<\/p>\n<\/li>\n
        3. \n
          \u6a21\u578b\u90e8\u7f72\uff1a\u5c06\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7API\u63a5\u53e3\u6216\u8005\u76f4\u63a5\u5728Python\u4ee3\u7801\u4e2d\u4f7f\u7528PaddleOCR\u8fdb\u884c\u6587\u5b57\u8bc6\u522b\u3002<\/p>\n<\/li>\n
        4. \n
          \u6587\u5b57\u8bc6\u522b\uff1a\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u65b0\u7684\u6587\u5b57\u56fe\u50cf\u8fdb\u884c\u8bc6\u522b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/li>\n<\/ol>\n
          \nimport paddleocr\nfrom icecream import ic\n# \u521d\u59cb\u5316 PaddleOCR\nocr_model = paddleocr.PaddleOCR()  # \u5728\u8fd9\u91cc\uff0c\u60a8\u53ef\u4ee5\u6307\u5b9a\u6a21\u578b\u8def\u5f84\u548c\u5176\u4ed6\u914d\u7f6e\n\n# \u8bfb\u53d6\u56fe\u7247\u5e76\u8fdb\u884c\u6587\u5b57\u8bc6\u522b\nresult = ocr_model.ocr(".\/1.jpg")\nic(result)\n# \u904d\u5386\u7ed3\u679c\u5e76\u6253\u5370\nfor line in result:\n    print(line)\n\n<\/code><\/pre>\n
          \u56db\u3001PaddleOCR\u5e94\u7528\u573a\u666f<\/p>\n
          PaddleOCR\u5e7f\u6cdb\u5e94\u7528\u4e8e\u4ee5\u4e0b\u573a\u666f\uff1a<\/p>\n
            \n
          1. \n
            \u6587\u6863\u5904\u7406\uff1a\u5bf9\u4e8e\u5927\u91cf\u6587\u6863\uff0c\u5982\u5408\u540c\u3001\u53d1\u7968\u3001\u62a5\u8868\u7b49\uff0cPaddleOCR\u53ef\u4ee5\u5e2e\u52a9\u5b9e\u73b0\u81ea\u52a8\u5316\u5f55\u5165\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/li>\n
          2. \n
            \u56fe\u50cf\u5206\u6790\uff1a\u5728\u9065\u611f\u56fe\u50cf\u3001\u533b\u5b66\u56fe\u50cf\u7b49\u9886\u57df\uff0cPaddleOCR\u53ef\u4ee5\u8f85\u52a9\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b\u3001\u56fe\u50cf\u5206\u7c7b\u7b49\u4efb\u52a1\u3002<\/p>\n<\/li>\n
          3. \n
            \u81ea\u52a8\u9a7e\u9a76\uff1aPaddleOCR\u53ef\u7528\u4e8e\u8f66\u8f86\u53f7\u724c\u8bc6\u522b\u3001\u4ea4\u901a\u6807\u5fd7\u8bc6\u522b\u7b49\u81ea\u52a8\u9a7e\u9a76\u76f8\u5173\u4efb\u52a1\u3002<\/p>\n<\/li>\n
          4. \n
            \u79fb\u52a8\u8bbe\u5907\uff1aPaddleOCR\u53ef\u5728\u79fb\u52a8\u8bbe\u5907\u4e0a\u5b9e\u73b0OCR\u529f\u80fd\uff0c\u65b9\u4fbf\u7528\u6237\u8fdb\u884c\u6587\u5b57\u63d0\u53d6\u3001\u7ffb\u8bd1\u7b49\u64cd\u4f5c\u3002<\/p>\n<\/li>\n
          5. \n
            \u7f51\u9875\u81ea\u52a8\u5316\uff1a\u5bf9\u4e8e\u5927\u91cf\u7f51\u9875\u4fe1\u606f\u7684\u63d0\u53d6\uff0cPaddleOCR\u53ef\u4ee5\u5e2e\u52a9\u5b9e\u73b0\u81ea\u52a8\u5316\u5904\u7406\uff0c\u63d0\u9ad8\u6570\u636e\u91c7\u96c6\u6548\u7387\u3002<\/p>\n<\/li>\n
          6. \n
            \u89c6\u9891\u5b57\u5e55\uff1a\u5229\u7528PaddleOCR\u6280\u672f\uff0c\u53ef\u4ee5\u5728\u89c6\u9891\u4e2d\u81ea\u52a8\u8bc6\u522b\u548c\u63d0\u53d6\u6587\u5b57\u4fe1\u606f\uff0c\u5b9e\u73b0\u5b57\u5e55\u7684\u81ea\u52a8\u751f\u6210\u3002<\/p>\n<\/li>\n
          7. \n
            \u667a\u80fd\u5ba2\u670d\uff1a\u7ed3\u5408\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\uff0cPaddleOCR\u53ef\u4ee5\u5e2e\u52a9\u667a\u80fd\u5ba2\u670d\u7cfb\u7edf\u5b9e\u73b0\u81ea\u52a8\u56de\u590d\u548c\u667a\u80fd\u63a8\u8350\u7b49\u529f\u80fd\u3002<\/p>\n<\/li>\n
          8. \n
            \u7248\u6743\u4fdd\u62a4\uff1a\u901a\u8fc7PaddleOCR\u6280\u672f\uff0c\u53ef\u4ee5\u5bf9\u56fe\u7247\u4e2d\u7684\u6587\u5b57\u8fdb\u884c\u8bc6\u522b\u548c\u6bd4\u5bf9\uff0c\u8f85\u52a9\u7248\u6743\u4fdd\u62a4\u5de5\u4f5c\u7684\u5f00\u5c55\u3002<\/p>\n<\/li>\n<\/ol>\n
            \u4e94\u3001\u603b\u7ed3<\/p>\n
            PaddleOCR\u4f5c\u4e3a\u4e00\u6b3e\u5f3a\u5927\u7684OCR\u5de5\u5177\uff0c\u5177\u6709\u9ad8\u51c6\u786e\u7387\u3001\u591a\u8bed\u8a00\u652f\u6301\u3001\u5b9e\u65f6\u9884\u89c8\u3001\u6279\u91cf\u5904\u7406\u3001API\u63a5\u53e3\u4ee5\u53ca\u8bad\u7ec3\u5b9a\u5236\u7b49\u529f\u80fd\u7279\u70b9\u3002\u901a\u8fc7\u79d1\u5b66\u4e25\u8c28\u7684\u5f00\u53d1\u6d41\u7a0b\u548c\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u7684\u8fd0\u7528\uff0cPaddleOCR\u5728\u5404\u4e2a\u9886\u57df\u90fd\u53d6\u5f97\u4e86\u663e\u8457\u7684\u5e94\u7528\u6548\u679c\u3002\u968f\u7740\u4eba\u5de5\u667a\u80fd\u6280\u672f\u7684\u4e0d\u65ad\u53d1\u5c55\uff0c\u76f8\u4fe1PaddleOCR\u5c06\u5728\u66f4\u591a\u573a\u666f\u4e2d\u53d1\u6325\u91cd\u8981\u4f5c\u7528\uff0c\u4e3a\u4eba\u4eec\u7684\u751f\u6d3b\u548c\u5de5\u4f5c\u5e26\u6765\u66f4\u591a\u4fbf\u5229\u3002<\/p>\n
            \u6765\u6e90——pytorch\u73a9\u8f6c\u6df1\u5ea6\u5b66\u4e60<\/p>\n\n
            <\/div>","protected":false},"excerpt":{"rendered":"
            \u5bfc\u8bed\uff1a\u5728\u5f53\u4eca\u6570\u5b57\u5316\u65f6\u4ee3\uff0c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5df2\u7ecf\u6e17\u900f\u5230\u5404\u4e2a\u9886\u57df\u3002\u5176\u4e2d\uff0cOCR\uff08Optical Character Recognition\uff09\u6280\u672f\u5c06\u56fe\u50cf\u4e2d\u7684\u6587\u5b57\u8f6c\u5316\u4e3a\u53ef\u7f16\u8f91\u7684\u6587\u672c\uff0c\u4e3a\u4f17\u591a\u884c\u4e1a\u5e26\u6765\u4e86\u6781\u5927\u7684\u4fbf\u5229\u3002PaddleOCR\u662f\u4e00\u6b3e\u7531\u767e\u5ea6\u7814\u53d1\u7684OCR\u5f00\u6e90\u5de5\u5177\uff0c\u5177\u6709\u6781\u9ad8\u7684\u51c6\u786e\u7387\u548c\u6613\u7528\u6027\u3002\u672c\u6587\u5c06 …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0},"categories":[12,66,52],"tags":[],"_links":{"self":[{"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/posts\/1948"}],"collection":[{"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/comments?post=1948"}],"version-history":[{"count":0,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/posts\/1948\/revisions"}],"wp:attachment":[{"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/media?parent=1948"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/categories?post=1948"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/zhang.mba\/index.php\/wp-json\/wp\/v2\/tags?post=1948"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}