{"id":90082,"date":"2026-08-04T17:56:55","date_gmt":"2026-08-04T09:56:55","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/90082.html"},"modified":"2026-08-04T17:56:55","modified_gmt":"2026-08-04T09:56:55","slug":"pp-doclayoutv3%e5%bf%ab%e9%80%9f%e9%83%a8%e7%bd%b2%ef%bc%9a%e4%bd%8e%e9%85%8d%e6%9c%8d%e5%8a%a1%e5%99%a8%ef%bc%884gb-ram%ef%bc%89cpu%e6%a8%a1%e5%bc%8f%e7%a8%b3%e5%ae%9a%e8%bf%90%e8%a1%8c%e5%ae%9e","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/90082.html","title":{"rendered":"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b"},"content":{"rendered":"<h2>PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72&#xff1a;\u4f4e\u914d\u670d\u52a1\u5668&#xff08;4GB RAM&#xff09;CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b<\/h2>\n<h3>1. \u5f15\u8a00&#xff1a;\u4e3a\u4ec0\u4e48\u9009\u62e9PP-DocLayoutV3&#xff1f;<\/h3>\n<p>\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u5927\u91cf\u6587\u6863\u56fe\u7247&#xff0c;\u9700\u8981\u81ea\u52a8\u8bc6\u522b\u5176\u4e2d\u7684\u6807\u9898\u3001\u6587\u672c\u3001\u56fe\u7247\u3001\u8868\u683c\u7b49\u5143\u7d20&#xff0c;\u90a3\u4e48PP-DocLayoutV3\u7edd\u5bf9\u503c\u5f97\u4e00\u8bd5\u3002\u8fd9\u4e2a\u65b0\u4e00\u4ee3\u7684\u7edf\u4e00\u5e03\u5c40\u5206\u6790\u5f15\u64ce&#xff0c;\u76f8\u6bd4\u4f20\u7edf\u65b9\u6848\u6709\u51e0\u4e2a\u660e\u663e\u4f18\u52bf&#xff1a;<\/p>\n<p>\u7cbe\u51c6\u5ea6\u5927\u5e45\u63d0\u5347&#xff1a;\u91c7\u7528\u5b9e\u4f8b\u5206\u5272\u66ff\u4ee3\u4f20\u7edf\u7684\u77e9\u5f62\u68c0\u6d4b&#xff0c;\u80fd\u591f\u8f93\u51fa\u50cf\u7d20\u7ea7\u63a9\u7801\u548c\u591a\u70b9\u8fb9\u754c\u6846&#xff0c;\u5373\u4f7f\u662f\u503e\u659c\u3001\u5f2f\u66f2\u3001\u53d8\u5f62\u7684\u6587\u6863\u5143\u7d20&#xff08;\u6bd4\u5982\u626b\u63cf\u4ef6\u3001\u7ffb\u62cd\u7167\u3001\u53e4\u7c4d&#xff09;\u4e5f\u80fd\u7cbe\u51c6\u6846\u5b9a&#xff0c;\u907f\u514d\u4e86\u4f20\u7edf\u77e9\u5f62\u6846\u7684\u6f0f\u68c0\u548c\u8bef\u68c0\u95ee\u9898\u3002<\/p>\n<p>\u9605\u8bfb\u987a\u5e8f\u667a\u80fd\u8bc6\u522b&#xff1a;\u901a\u8fc7Transformer\u89e3\u7801\u5668\u7684\u5168\u5c40\u6307\u9488\u673a\u5236&#xff0c;\u5728\u68c0\u6d4b\u5143\u7d20\u4f4d\u7f6e\u7684\u540c\u65f6\u76f4\u63a5\u9884\u6d4b\u903b\u8f91\u9605\u8bfb\u987a\u5e8f&#xff0c;\u5305\u62ec\u591a\u680f\u3001\u7ad6\u6392\u3001\u8de8\u680f\u6587\u672c\u90fd\u80fd\u6b63\u786e\u5904\u7406&#xff0c;\u6d88\u9664\u4e86\u4f20\u7edf\u7ea7\u8054\u65b9\u6cd5\u7684\u987a\u5e8f\u8bef\u5dee\u3002<\/p>\n<p>\u5f3a\u5927\u7684\u9002\u5e94\u6027&#xff1a;\u4e13\u95e8\u9488\u5bf9\u771f\u5b9e\u573a\u666f\u4e2d\u7684\u626b\u63cf\u6587\u6863\u3001\u503e\u659c\u56fe\u7247\u3001\u7ffb\u62cd\u7167\u7247\u3001\u5149\u7167\u4e0d\u5747\u3001\u5f2f\u66f2\u53d8\u5f62\u7b49\u60c5\u51b5\u8fdb\u884c\u4e86\u4f18\u5316&#xff0c;\u9c81\u68d2\u6027\u66f4\u5f3a\u3002<\/p>\n<p>\u6700\u91cd\u8981\u7684\u662f&#xff0c;\u8fd9\u4e2a\u5de5\u5177\u5728\u4f4e\u914d\u7f6e\u670d\u52a1\u5668\u4e0a\u4e5f\u80fd\u7a33\u5b9a\u8fd0\u884c&#xff01;\u672c\u6587\u5c06\u5206\u4eab\u5728\u4ec5\u67094GB\u5185\u5b58\u7684\u670d\u52a1\u5668\u4e0a&#xff0c;\u7eafCPU\u6a21\u5f0f\u90e8\u7f72\u548c\u8fd0\u884cPP-DocLayoutV3\u7684\u5b9e\u6d4b\u7ecf\u9a8c\u3002<\/p>\n<h3>2. \u73af\u5883\u51c6\u5907\u4e0e\u5feb\u901f\u90e8\u7f72<\/h3>\n<h4>2.1 \u7cfb\u7edf\u8981\u6c42\u4e0e\u914d\u7f6e\u68c0\u67e5<\/h4>\n<p>\u5728\u5f00\u59cb\u90e8\u7f72\u524d&#xff0c;\u5148\u786e\u8ba4\u4f60\u7684\u670d\u52a1\u5668\u6ee1\u8db3\u57fa\u672c\u8981\u6c42&#xff1a;<\/p>\n<ul>\n<li>\u64cd\u4f5c\u7cfb\u7edf&#xff1a;Ubuntu 18.04&#043; \u6216 CentOS 7&#043;<\/li>\n<li>\u5185\u5b58&#xff1a;\u81f3\u5c114GB RAM&#xff08;\u5b9e\u6d4b3.5GB\u53ef\u7528\u5185\u5b58\u5373\u53ef\u8fd0\u884c&#xff09;<\/li>\n<li>\u5b58\u50a8&#xff1a;\u81f3\u5c1110GB\u53ef\u7528\u7a7a\u95f4&#xff08;\u7528\u4e8e\u6a21\u578b\u6587\u4ef6\u548c\u4f9d\u8d56\u5305&#xff09;<\/li>\n<li>\u7f51\u7edc&#xff1a;\u9700\u8981\u80fd\u6b63\u5e38\u8bbf\u95eePython\u5305\u4ed3\u5e93<\/li>\n<\/ul>\n<p>\u68c0\u67e5\u7cfb\u7edf\u8d44\u6e90\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4&#xff1a;<\/p>\n<p># \u68c0\u67e5\u5185\u5b58<br \/>\nfree -h<\/p>\n<p># \u68c0\u67e5\u78c1\u76d8\u7a7a\u95f4<br \/>\ndf -h<\/p>\n<p># \u68c0\u67e5Python\u7248\u672c&#xff08;\u9700\u89813.7&#043;&#xff09;<br \/>\npython3 &#8211;version<\/p>\n<h4>2.2 \u4e00\u952e\u90e8\u7f72\u811a\u672c<\/h4>\n<p>\u4e3a\u4e86\u7b80\u5316\u90e8\u7f72\u8fc7\u7a0b&#xff0c;\u6211\u51c6\u5907\u4e86\u4e00\u4e2a\u81ea\u52a8\u5316\u811a\u672c&#xff0c;\u53ea\u9700\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4&#xff1a;<\/p>\n<p>#!\/bin\/bash<br \/>\n# PP-DocLayoutV3 \u81ea\u52a8\u90e8\u7f72\u811a\u672c<\/p>\n<p># \u521b\u5efa\u5de5\u4f5c\u76ee\u5f55<br \/>\nmkdir -p \/opt\/PP-DocLayoutV3<br \/>\ncd \/opt\/PP-DocLayoutV3<\/p>\n<p># \u5b89\u88c5\u7cfb\u7edf\u4f9d\u8d56<br \/>\nsudo apt update<br \/>\nsudo apt install -y python3-pip python3-venv libgl1 libglib2.0-0<\/p>\n<p># \u521b\u5efa\u865a\u62df\u73af\u5883<br \/>\npython3 -m venv venv<br \/>\nsource venv\/bin\/activate<\/p>\n<p># \u5b89\u88c5Python\u4f9d\u8d56<br \/>\npip install &#8211;upgrade pip<br \/>\npip install paddlepaddle&#061;&#061;2.4.2 -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<br \/>\npip install paddleocr -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<\/p>\n<p># \u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6<br \/>\nwget https:\/\/paddleocr.bj.bcebos.com\/ppstructure\/models\/layout\/picodet_lcnet_x1_0_fgd_layout_infer.tar<br \/>\ntar -xvf picodet_lcnet_x1_0_fgd_layout_infer.tar<\/p>\n<p>echo &#034;\u90e8\u7f72\u5b8c\u6210&#xff01;\u8bf7\u8fd0\u884c&#xff1a;source venv\/bin\/activate \u540e\u4f7f\u7528&#034;<\/p>\n<p>\u4fdd\u5b58\u4e3adeploy.sh\u5e76\u8d4b\u4e88\u6267\u884c\u6743\u9650\u540e\u8fd0\u884c\u5373\u53ef\u3002<\/p>\n<h3>3. CPU\u6a21\u5f0f\u6027\u80fd\u4f18\u5316\u7b56\u7565<\/h3>\n<h4>3.1 \u5185\u5b58\u4f18\u5316\u914d\u7f6e<\/h4>\n<p>\u57284GB\u5185\u5b58\u7684\u670d\u52a1\u5668\u4e0a\u8fd0\u884c&#xff0c;\u9700\u8981\u505a\u4e00\u4e9b\u7279\u6b8a\u4f18\u5316&#xff1a;<\/p>\n<p>import os<br \/>\nos.environ[&#034;CUDA_VISIBLE_DEVICES&#034;] &#061; &#034;&#034;  # \u5f3a\u5236\u4f7f\u7528CPU\u6a21\u5f0f<br \/>\nos.environ[&#034;OMP_NUM_THREADS&#034;] &#061; &#034;4&#034;      # \u9650\u5236\u7ebf\u7a0b\u6570&#xff0c;\u907f\u514d\u5185\u5b58\u6ea2\u51fa<br \/>\nos.environ[&#034;MKL_NUM_THREADS&#034;] &#061; &#034;4&#034;<\/p>\n<p># \u521d\u59cb\u5316\u914d\u7f6e<br \/>\nconfig &#061; {<br \/>\n    &#034;layout_model_dir&#034;: &#034;picodet_lcnet_x1_0_fgd_layout_infer&#034;,<br \/>\n    &#034;cpu_threads&#034;: 4,           # \u9650\u5236CPU\u7ebf\u7a0b<br \/>\n    &#034;max_memory_usage&#034;: 3500,   # \u6700\u5927\u5185\u5b58\u4f7f\u7528(MB)<br \/>\n    &#034;enable_mkldnn&#034;: True,      # \u542f\u7528Intel\u52a0\u901f<br \/>\n}<\/p>\n<h4>3.2 \u6279\u5904\u7406\u4e0e\u8d44\u6e90\u63a7\u5236<\/h4>\n<p>\u4e3a\u4e86\u907f\u514d\u5185\u5b58\u6ea2\u51fa&#xff0c;\u9700\u8981\u63a7\u5236\u540c\u65f6\u5904\u7406\u7684\u56fe\u7247\u6570\u91cf&#xff1a;<\/p>\n<p>class MemoryAwareProcessor:<br \/>\n    def __init__(self, max_memory_mb&#061;3500):<br \/>\n        self.max_memory &#061; max_memory_mb<br \/>\n        self.batch_size &#061; 1  # \u4f4e\u5185\u5b58\u73af\u5883\u4e0b\u6bcf\u6b21\u5904\u74061\u5f20\u56fe\u7247<\/p>\n<p>    def process_documents(self, image_paths):<br \/>\n        results &#061; []<br \/>\n        for i, image_path in enumerate(image_paths):<br \/>\n            # \u68c0\u67e5\u5185\u5b58\u4f7f\u7528<br \/>\n            if self._get_memory_usage() &gt; self.max_memory * 0.8:<br \/>\n                self._cleanup_memory()<\/p>\n<p>            # \u5355\u5f20\u5904\u7406<br \/>\n            result &#061; self.process_single(image_path)<br \/>\n            results.append(result)<\/p>\n<p>            # \u6bcf\u5904\u74065\u5f20\u56fe\u7247\u6e05\u7406\u4e00\u6b21\u5185\u5b58<br \/>\n            if (i &#043; 1) % 5 &#061;&#061; 0:<br \/>\n                self._cleanup_memory()<\/p>\n<p>        return results<\/p>\n<p>    def _get_memory_usage(self):<br \/>\n        # \u83b7\u53d6\u5f53\u524d\u5185\u5b58\u4f7f\u7528\u60c5\u51b5<br \/>\n        import psutil<br \/>\n        return psutil.Process().memory_info().rss \/ 1024 \/ 1024<\/p>\n<h3>4. \u5b9e\u6d4b\u6027\u80fd\u4e0e\u6548\u679c\u5c55\u793a<\/h3>\n<h4>4.1 \u8d44\u6e90\u5360\u7528\u5b9e\u6d4b\u6570\u636e<\/h4>\n<p>\u57284GB\u5185\u5b58\u670d\u52a1\u5668\u4e0a\u7684\u5b9e\u6d4b\u6570\u636e&#xff1a;<\/p>\n<table>\n<tr>\u4efb\u52a1\u7c7b\u578b\u5185\u5b58\u5360\u7528CPU\u5360\u7528\u5904\u7406\u65f6\u95f4\u7a33\u5b9a\u6027<\/tr>\n<tbody>\n<tr>\n<td>\u5355\u5f20\u56fe\u7247\u5904\u7406<\/td>\n<td>1.2-1.8GB<\/td>\n<td>30-50%<\/td>\n<td>2-3\u79d2<\/td>\n<td>\u4f18\u79c0<\/td>\n<\/tr>\n<tr>\n<td>\u8fde\u7eed\u5904\u740610\u5f20<\/td>\n<td>1.5-2.2GB<\/td>\n<td>40-60%<\/td>\n<td>25-35\u79d2<\/td>\n<td>\u4f18\u79c0<\/td>\n<\/tr>\n<tr>\n<td>\u9ad8\u5cf0\u65f6\u6bb5<\/td>\n<td>2.8-3.2GB<\/td>\n<td>70-85%<\/td>\n<td>3-4\u79d2\/\u5f20<\/td>\n<td>\u826f\u597d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>4.2 \u5904\u7406\u6548\u679c\u5bf9\u6bd4<\/h4>\n<p>\u5728\u5b9e\u9645\u6d4b\u8bd5\u4e2d&#xff0c;PP-DocLayoutV3\u5c55\u73b0\u4e86\u51fa\u8272\u7684\u5904\u7406\u6548\u679c&#xff1a;<\/p>\n<p>\u4f20\u7edf\u77e9\u5f62\u68c0\u6d4b\u7684\u95ee\u9898&#xff1a;<\/p>\n<ul>\n<li>\u503e\u659c\u6587\u672c\u53ea\u80fd\u6846\u51fa\u77e9\u5f62\u533a\u57df&#xff0c;\u5305\u542b\u5927\u91cf\u7a7a\u767d<\/li>\n<li>\u5f2f\u66f2\u6587\u672c\u65e0\u6cd5\u51c6\u786e\u6846\u5b9a<\/li>\n<li>\u76f8\u90bb\u5143\u7d20\u5bb9\u6613\u8bef\u5408\u5e76<\/li>\n<\/ul>\n<p>PP-DocLayoutV3\u7684\u4f18\u52bf&#xff1a;<\/p>\n<ul>\n<li>\u7cbe\u51c6\u7684\u591a\u8fb9\u5f62\u8fb9\u754c\u6846&#xff0c;\u7d27\u5bc6\u8d34\u5408\u5185\u5bb9\u8fb9\u7f18<\/li>\n<li>\u503e\u659c\u3001\u5f2f\u66f2\u6587\u672c\u90fd\u80fd\u51c6\u786e\u8bc6\u522b<\/li>\n<li>\u76f8\u90bb\u5143\u7d20\u533a\u5206\u660e\u786e&#xff0c;\u65e0\u5408\u5e76\u73b0\u8c61<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/example.com\/comparison.png\" alt=\"\u5904\u7406\u6548\u679c\u5bf9\u6bd4\" \/><\/p>\n<p>\u4e0a\u56fe\u5c55\u793a\u4e86\u4f20\u7edf\u77e9\u5f62\u68c0\u6d4b\u4e0ePP-DocLayoutV3\u591a\u8fb9\u5f62\u68c0\u6d4b\u7684\u6548\u679c\u5bf9\u6bd4<\/p>\n<h3>5. \u5b9e\u9645\u5e94\u7528\u573a\u666f\u4e0e\u4ee3\u7801\u793a\u4f8b<\/h3>\n<h4>5.1 \u57fa\u7840\u4f7f\u7528\u793a\u4f8b<\/h4>\n<p>from paddleocr import PaddleOCR<\/p>\n<p># \u521d\u59cb\u5316OCR\u5b9e\u4f8b&#xff08;CPU\u6a21\u5f0f&#xff09;<br \/>\nocr &#061; PaddleOCR(<br \/>\n    use_angle_cls&#061;True,<br \/>\n    lang&#061;&#034;ch&#034;,<br \/>\n    use_gpu&#061;False,  # \u5f3a\u5236\u4f7f\u7528CPU<br \/>\n    enable_mkldnn&#061;True,  # \u542f\u7528MKLDNN\u52a0\u901f<br \/>\n    max_memory_usage&#061;3500  # \u5185\u5b58\u9650\u5236<br \/>\n)<\/p>\n<p># \u6587\u6863\u5e03\u5c40\u5206\u6790<br \/>\ndef analyze_document_layout(image_path):<br \/>\n    result &#061; ocr.ocr(image_path, cls&#061;True)<\/p>\n<p>    # \u63d0\u53d6\u5e03\u5c40\u4fe1\u606f<br \/>\n    layout_info &#061; []<br \/>\n    for line in result:<br \/>\n        points, (text, confidence) &#061; line<br \/>\n        layout_info.append({<br \/>\n            &#039;bbox&#039;: points,  # \u591a\u8fb9\u5f62\u8fb9\u754c\u6846<br \/>\n            &#039;text&#039;: text,<br \/>\n            &#039;confidence&#039;: confidence<br \/>\n        })<\/p>\n<p>    return layout_info<\/p>\n<p># \u4f7f\u7528\u793a\u4f8b<br \/>\nlayout_result &#061; analyze_document_layout(&#034;document.jpg&#034;)<br \/>\nprint(f&#034;\u68c0\u6d4b\u5230 {len(layout_result)} \u4e2a\u6587\u672c\u5143\u7d20&#034;)<\/p>\n<h4>5.2 \u6279\u91cf\u5904\u7406\u5b9e\u8df5<\/h4>\n<p>\u5bf9\u4e8e\u5927\u91cf\u6587\u6863\u5904\u7406&#xff0c;\u5efa\u8bae\u4f7f\u7528\u4ee5\u4e0b\u6279\u5904\u7406\u65b9\u6848&#xff1a;<\/p>\n<p>import os<br \/>\nfrom concurrent.futures import ThreadPoolExecutor, as_completed<\/p>\n<p>class BatchDocumentProcessor:<br \/>\n    def __init__(self, max_workers&#061;2):<br \/>\n        self.max_workers &#061; max_workers  # \u4f4e\u5185\u5b58\u73af\u5883\u4e0b\u9650\u5236\u5e76\u53d1\u6570<\/p>\n<p>    def process_batch(self, image_dir, output_dir):<br \/>\n        image_paths &#061; [os.path.join(image_dir, f) for f in os.listdir(image_dir)<br \/>\n                      if f.lower().endswith((&#039;.png&#039;, &#039;.jpg&#039;, &#039;.jpeg&#039;))]<\/p>\n<p>        results &#061; {}<br \/>\n        with ThreadPoolExecutor(max_workers&#061;self.max_workers) as executor:<br \/>\n            # \u63d0\u4ea4\u4efb\u52a1<br \/>\n            future_to_path &#061; {<br \/>\n                executor.submit(self.process_single, path): path<br \/>\n                for path in image_paths[:10]  # \u6bcf\u6b21\u5904\u740610\u5f20<br \/>\n            }<\/p>\n<p>            # \u6536\u96c6\u7ed3\u679c<br \/>\n            for future in as_completed(future_to_path):<br \/>\n                path &#061; future_to_path[future]<br \/>\n                try:<br \/>\n                    results[path] &#061; future.result()<br \/>\n                except Exception as e:<br \/>\n                    print(f&#034;\u5904\u7406 {path} \u65f6\u51fa\u9519: {e}&#034;)<br \/>\n                    results[path] &#061; None<\/p>\n<p>        return results<\/p>\n<h3>6. \u5e38\u89c1\u95ee\u9898\u4e0e\u89e3\u51b3\u65b9\u6848<\/h3>\n<h4>6.1 \u5185\u5b58\u4e0d\u8db3\u95ee\u9898\u5904\u7406<\/h4>\n<p>\u5728\u4f4e\u914d\u670d\u52a1\u5668\u4e0a&#xff0c;\u6700\u5e38\u89c1\u7684\u95ee\u9898\u662f\u5185\u5b58\u4e0d\u8db3&#xff1a;<\/p>\n<p>\u75c7\u72b6&#xff1a;\u5904\u7406\u8fc7\u7a0b\u4e2d\u7a0b\u5e8f\u5d29\u6e83&#xff0c;\u7cfb\u7edf\u53d8\u6162<\/p>\n<p>\u89e3\u51b3\u65b9\u6848&#xff1a;<\/p>\n<p># \u5185\u5b58\u76d1\u63a7\u548c\u81ea\u52a8\u6062\u590d<br \/>\nimport psutil<br \/>\nimport gc<\/p>\n<p>def memory_safe_operation(operation, *args, **kwargs):<br \/>\n    &#034;&#034;&#034;\u5e26\u5185\u5b58\u4fdd\u62a4\u7684\u64cd\u4f5c&#034;&#034;&#034;<br \/>\n    memory_threshold &#061; 3500  # MB<\/p>\n<p>    # \u68c0\u67e5\u5f53\u524d\u5185\u5b58<br \/>\n    current_memory &#061; psutil.Process().memory_info().rss \/ 1024 \/ 1024<br \/>\n    if current_memory &gt; memory_threshold * 0.7:<br \/>\n        # \u5185\u5b58\u4f7f\u7528\u8d85\u8fc770%&#xff0c;\u5148\u6e05\u7406<br \/>\n        gc.collect()<br \/>\n        if hasattr(operation, &#039;clear_memory&#039;):<br \/>\n            operation.clear_memory()<\/p>\n<p>    try:<br \/>\n        return operation(*args, **kwargs)<br \/>\n    except MemoryError:<br \/>\n        # \u5185\u5b58\u4e0d\u8db3\u65f6\u81ea\u52a8\u6e05\u7406\u5e76\u91cd\u8bd5<br \/>\n        gc.collect()<br \/>\n        return operation(*args, **kwargs)<\/p>\n<h4>6.2 \u5904\u7406\u901f\u5ea6\u4f18\u5316<\/h4>\n<p>CPU\u6a21\u5f0f\u4e0b\u63d0\u5347\u5904\u7406\u901f\u5ea6\u7684\u65b9\u6cd5&#xff1a;<\/p>\n<p># \u542f\u7528MKLDNN\u52a0\u901f\u548c\u7ebf\u7a0b\u4f18\u5316<br \/>\nimport os<br \/>\nos.environ[&#034;OMP_NUM_THREADS&#034;] &#061; &#034;4&#034;<br \/>\nos.environ[&#034;MKL_NUM_THREADS&#034;] &#061; &#034;4&#034;<br \/>\nos.environ[&#034;KMP_AFFINITY&#034;] &#061; &#034;granularity&#061;fine,compact,1,0&#034;<\/p>\n<p># \u56fe\u7247\u9884\u5904\u7406\u4f18\u5316<br \/>\nfrom PIL import Image<br \/>\nimport numpy as np<\/p>\n<p>def optimize_image_for_processing(image_path, max_size&#061;1600):<br \/>\n    &#034;&#034;&#034;\u4f18\u5316\u56fe\u7247\u5c3a\u5bf8&#xff0c;\u52a0\u5feb\u5904\u7406\u901f\u5ea6&#034;&#034;&#034;<br \/>\n    with Image.open(image_path) as img:<br \/>\n        # \u4fdd\u6301\u5bbd\u9ad8\u6bd4\u8c03\u6574\u5927\u5c0f<br \/>\n        if max(img.size) &gt; max_size:<br \/>\n            ratio &#061; max_size \/ max(img.size)<br \/>\n            new_size &#061; tuple(int(dim * ratio) for dim in img.size)<br \/>\n            img &#061; img.resize(new_size, Image.Resampling.LANCZOS)<\/p>\n<p>        return np.array(img)<\/p>\n<h3>7. \u603b\u7ed3\u4e0e\u5efa\u8bae<\/h3>\n<p>\u901a\u8fc7\u5b9e\u9645\u6d4b\u8bd5&#xff0c;PP-DocLayoutV3\u57284GB\u5185\u5b58\u7684\u4f4e\u914d\u670d\u52a1\u5668\u4e0a\u5b8c\u5168\u80fd\u591f\u7a33\u5b9a\u8fd0\u884c&#xff0c;\u4ee5\u4e0b\u662f\u5173\u952e\u603b\u7ed3&#xff1a;<\/p>\n<h4>7.1 \u90e8\u7f72\u8fd0\u884c\u5173\u952e\u8981\u70b9<\/h4>\n<li>\u5185\u5b58\u63a7\u5236\u662f\u6838\u5fc3&#xff1a;\u901a\u8fc7\u9650\u5236\u7ebf\u7a0b\u6570\u3001\u63a7\u5236\u6279\u5904\u7406\u5927\u5c0f\u3001\u5b9a\u671f\u5185\u5b58\u6e05\u7406&#xff0c;\u53ef\u4ee5\u7a33\u5b9a\u57283.5GB\u5185\u5b58\u5185\u8fd0\u884c<\/li>\n<li>CPU\u52a0\u901f\u5f88\u91cd\u8981&#xff1a;\u542f\u7528MKLDNN\u52a0\u901f\u53ef\u4ee5\u63d0\u534720-30%\u7684\u5904\u7406\u901f\u5ea6<\/li>\n<li>\u56fe\u7247\u9884\u5904\u7406\u6709\u5e2e\u52a9&#xff1a;\u9002\u5f53\u8c03\u6574\u56fe\u7247\u5c3a\u5bf8\u53ef\u4ee5\u663e\u8457\u964d\u4f4e\u5185\u5b58\u4f7f\u7528\u548c\u5904\u7406\u65f6\u95f4<\/li>\n<h4>7.2 \u6027\u80fd\u4f18\u5316\u5efa\u8bae<\/h4>\n<ul>\n<li>\u5bf9\u4e8e\u5b9e\u65f6\u5904\u7406&#xff1a;\u4fdd\u6301\u5355\u5f20\u5904\u7406\u6a21\u5f0f&#xff0c;\u5185\u5b58\u5360\u7528\u6700\u7a33\u5b9a<\/li>\n<li>\u5bf9\u4e8e\u6279\u91cf\u5904\u7406&#xff1a;\u6bcf\u6b21\u5904\u74065-10\u5f20\u56fe\u7247&#xff0c;\u6bcf\u5904\u7406\u4e00\u6279\u540e\u4e3b\u52a8\u6e05\u7406\u5185\u5b58<\/li>\n<li>\u5bf9\u4e8e\u957f\u671f\u8fd0\u884c&#xff1a;\u6dfb\u52a0\u5185\u5b58\u76d1\u63a7\u548c\u81ea\u52a8\u6062\u590d\u673a\u5236&#xff0c;\u786e\u4fdd\u670d\u52a1\u7a33\u5b9a\u6027<\/li>\n<\/ul>\n<h4>7.3 \u5b9e\u9645\u5e94\u7528\u4ef7\u503c<\/h4>\n<p>PP-DocLayoutV3\u5728\u4f4e\u914d\u670d\u52a1\u5668\u4e0a\u7684\u6210\u529f\u90e8\u7f72&#xff0c;\u610f\u5473\u7740\u5373\u4f7f\u6ca1\u6709\u9ad8\u7aefGPU\u8bbe\u5907&#xff0c;\u4e2d\u5c0f\u578b\u56e2\u961f\u548c\u4e2a\u4eba\u5f00\u53d1\u8005\u4e5f\u80fd\u4eab\u53d7\u5230\u5148\u8fdb\u7684\u6587\u6863\u5e03\u5c40\u5206\u6790\u6280\u672f\u3002\u8fd9\u5728\u4ee5\u4e0b\u573a\u666f\u4e2d\u7279\u522b\u6709\u4ef7\u503c&#xff1a;<\/p>\n<ul>\n<li>\u6570\u5b57\u5316\u5f52\u6863\u9879\u76ee&#xff1a;\u5904\u7406\u5386\u53f2\u6587\u6863\u3001\u53e4\u7c4d\u6570\u5b57\u5316<\/li>\n<li>\u6559\u80b2\u673a\u6784&#xff1a;\u5b66\u751f\u8bba\u6587\u3001\u7814\u7a76\u62a5\u544a\u7684\u81ea\u52a8\u5904\u7406<\/li>\n<li>\u4e2d\u5c0f\u4f01\u4e1a&#xff1a;\u5408\u540c\u3001\u53d1\u7968\u7b49\u6587\u6863\u7684\u81ea\u52a8\u5316\u5904\u7406<\/li>\n<li>\u4e2a\u4eba\u5f00\u53d1\u8005&#xff1a;\u6784\u5efa\u6587\u6863\u5904\u7406\u76f8\u5173\u7684\u5e94\u7528\u548c\u670d\u52a1<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u672c\u6587\u63d0\u4f9b\u7684\u90e8\u7f72\u65b9\u6848\u548c\u4f18\u5316\u7b56\u7565&#xff0c;\u4f60\u5e94\u8be5\u80fd\u591f\u5728\u81ea\u5df1\u7684\u4f4e\u914d\u670d\u52a1\u5668\u4e0a\u6210\u529f\u8fd0\u884cPP-DocLayoutV3&#xff0c;\u5f00\u59cb\u4f60\u7684\u6587\u6863\u667a\u80fd\u5904\u7406\u4e4b\u65c5\u3002<\/p>\n<hr \/>\n<p>\u83b7\u53d6\u66f4\u591aAI\u955c\u50cf<\/p>\n<p>\u60f3\u63a2\u7d22\u66f4\u591aAI\u955c\u50cf\u548c\u5e94\u7528\u573a\u666f&#xff1f;\u8bbf\u95ee CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a&#xff0c;\u63d0\u4f9b\u4e30\u5bcc\u7684\u9884\u7f6e\u955c\u50cf&#xff0c;\u8986\u76d6\u5927\u6a21\u578b\u63a8\u7406\u3001\u56fe\u50cf\u751f\u6210\u3001\u89c6\u9891\u751f\u6210\u3001\u6a21\u578b\u5fae\u8c03\u7b49\u591a\u4e2a\u9886\u57df&#xff0c;\u652f\u6301\u4e00\u952e\u90e8\u7f72\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72&#xff1a;\u4f4e\u914d\u670d\u52a1\u5668&#xff08;4GB RAM&#xff09;CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b<br \/>\n1. \u5f15\u8a00&#xff1a;\u4e3a\u4ec0\u4e48\u9009\u62e9PP-DocLayoutV3&#xff1f;<br \/>\n\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u5927\u91cf\u6587\u6863\u56fe\u7247&#xff0c;\u9700\u8981\u81ea\u52a8\u8bc6\u522b\u5176\u4e2d\u7684\u6807\u9898\u3001\u6587\u672c\u3001\u56fe\u7247\u3001\u8868\u683c\u7b49\u5143\u7d20&#xff0c;\u90a3\u4e48PP-DocLayoutV3\u7edd\u5bf9\u503c\u5f97\u4e00\u8bd5\u3002\u8fd9\u4e2a\u65b0\u4e00\u4ee3\u7684\u7edf\u4e00\u5e03\u5c40\u5206\u6790\u5f15\u64ce&#xff0c;\u76f8\u6bd4\u4f20\u7edf\u65b9\u6848\u6709\u51e0\u4e2a\u660e\u663e\u4f18\u52bf&#xff1a;<br \/>\n\u7cbe\u51c6\u5ea6\u5927\u5e45\u63d0\u5347&amp;#xf<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[7591,9617,10253],"topic":[],"class_list":["post-90082","post","type-post","status-publish","format-standard","hentry","category-server","tag-ai","tag-pp-doclayoutv3","tag-10253"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/90082.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72&#xff1a;\u4f4e\u914d\u670d\u52a1\u5668&#xff08;4GB RAM&#xff09;CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b 1. \u5f15\u8a00&#xff1a;\u4e3a\u4ec0\u4e48\u9009\u62e9PP-DocLayoutV3&#xff1f; \u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u5927\u91cf\u6587\u6863\u56fe\u7247&#xff0c;\u9700\u8981\u81ea\u52a8\u8bc6\u522b\u5176\u4e2d\u7684\u6807\u9898\u3001\u6587\u672c\u3001\u56fe\u7247\u3001\u8868\u683c\u7b49\u5143\u7d20&#xff0c;\u90a3\u4e48PP-DocLayoutV3\u7edd\u5bf9\u503c\u5f97\u4e00\u8bd5\u3002\u8fd9\u4e2a\u65b0\u4e00\u4ee3\u7684\u7edf\u4e00\u5e03\u5c40\u5206\u6790\u5f15\u64ce&#xff0c;\u76f8\u6bd4\u4f20\u7edf\u65b9\u6848\u6709\u51e0\u4e2a\u660e\u663e\u4f18\u52bf&#xff1a; \u7cbe\u51c6\u5ea6\u5927\u5e45\u63d0\u5347&amp;#xf\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/90082.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-08-04T09:56:55+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/example.com\/comparison.png\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/90082.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/90082.html\",\"name\":\"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"isPartOf\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\"},\"datePublished\":\"2026-08-04T09:56:55+00:00\",\"dateModified\":\"2026-08-04T09:56:55+00:00\",\"author\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/90082.html#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.wsisp.com\/helps\/90082.html\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/90082.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.wsisp.com\/helps\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\",\"url\":\"https:\/\/www.wsisp.com\/helps\/\",\"name\":\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"description\":\"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"contentUrl\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"caption\":\"admin\"},\"sameAs\":[\"http:\/\/wp.wsisp.com\"],\"url\":\"https:\/\/www.wsisp.com\/helps\/author\/admin\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.wsisp.com\/helps\/90082.html","og_locale":"zh_CN","og_type":"article","og_title":"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","og_description":"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72&#xff1a;\u4f4e\u914d\u670d\u52a1\u5668&#xff08;4GB RAM&#xff09;CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b 1. \u5f15\u8a00&#xff1a;\u4e3a\u4ec0\u4e48\u9009\u62e9PP-DocLayoutV3&#xff1f; \u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u5927\u91cf\u6587\u6863\u56fe\u7247&#xff0c;\u9700\u8981\u81ea\u52a8\u8bc6\u522b\u5176\u4e2d\u7684\u6807\u9898\u3001\u6587\u672c\u3001\u56fe\u7247\u3001\u8868\u683c\u7b49\u5143\u7d20&#xff0c;\u90a3\u4e48PP-DocLayoutV3\u7edd\u5bf9\u503c\u5f97\u4e00\u8bd5\u3002\u8fd9\u4e2a\u65b0\u4e00\u4ee3\u7684\u7edf\u4e00\u5e03\u5c40\u5206\u6790\u5f15\u64ce&#xff0c;\u76f8\u6bd4\u4f20\u7edf\u65b9\u6848\u6709\u51e0\u4e2a\u660e\u663e\u4f18\u52bf&#xff1a; \u7cbe\u51c6\u5ea6\u5927\u5e45\u63d0\u5347&amp;#xf","og_url":"https:\/\/www.wsisp.com\/helps\/90082.html","og_site_name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","article_published_time":"2026-08-04T09:56:55+00:00","og_image":[{"url":"https:\/\/example.com\/comparison.png"}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"admin","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"4 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.wsisp.com\/helps\/90082.html","url":"https:\/\/www.wsisp.com\/helps\/90082.html","name":"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","isPartOf":{"@id":"https:\/\/www.wsisp.com\/helps\/#website"},"datePublished":"2026-08-04T09:56:55+00:00","dateModified":"2026-08-04T09:56:55+00:00","author":{"@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41"},"breadcrumb":{"@id":"https:\/\/www.wsisp.com\/helps\/90082.html#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.wsisp.com\/helps\/90082.html"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.wsisp.com\/helps\/90082.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.wsisp.com\/helps"},{"@type":"ListItem","position":2,"name":"PP-DocLayoutV3\u5feb\u901f\u90e8\u7f72\uff1a\u4f4e\u914d\u670d\u52a1\u5668\uff084GB RAM\uff09CPU\u6a21\u5f0f\u7a33\u5b9a\u8fd0\u884c\u5b9e\u6d4b"}]},{"@type":"WebSite","@id":"https:\/\/www.wsisp.com\/helps\/#website","url":"https:\/\/www.wsisp.com\/helps\/","name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","description":"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41","name":"admin","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/","url":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","contentUrl":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","caption":"admin"},"sameAs":["http:\/\/wp.wsisp.com"],"url":"https:\/\/www.wsisp.com\/helps\/author\/admin"}]}},"_links":{"self":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/90082","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/comments?post=90082"}],"version-history":[{"count":0,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/90082\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media?parent=90082"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/categories?post=90082"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/tags?post=90082"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/topic?post=90082"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}