{"id":21556,"date":"2025-02-20T11:27:54","date_gmt":"2025-02-20T03:27:54","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=21556"},"modified":"2025-02-20T11:30:29","modified_gmt":"2025-02-20T03:30:29","slug":"matanyone","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/matanyone\/","title":{"rendered":"MatAnyone: \u63d0\u53d6\u89c6\u9891\u6307\u5b9a\u76ee\u6807\u4eba\u50cf\u7684\u5f00\u6e90\u5de5\u5177\uff0c\u751f\u6210\u76ee\u6807\u4eba\u50cf\u89c6\u9891"},"content":{"rendered":"<p>MatAnyone \u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u89c6\u9891\u62a0\u50cf\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u7531\u65b0\u52a0\u5761\u5357\u6d0b\u7406\u5de5\u5927\u5b66 S-Lab \u7684\u7814\u7a76\u56e2\u961f\u5f00\u53d1\u5e76\u5728 GitHub \u4e0a\u53d1\u5e03\u3002\u5b83\u901a\u8fc7\u4e00\u81f4\u6027\u8bb0\u5fc6\u4f20\u64ad\u6280\u672f\uff0c\u4e3a\u7528\u6237\u63d0\u4f9b\u7a33\u5b9a\u9ad8\u6548\u7684\u89c6\u9891\u5904\u7406\u80fd\u529b\uff0c\u5c24\u5176\u64c5\u957f\u5904\u7406\u590d\u6742\u80cc\u666f\u4e0b\u7684\u76ee\u6807\u6307\u5b9a\u62a0\u50cf\u4efb\u52a1\u3002\u9879\u76ee\u7531 Peiqing Yang \u7b49\u7814\u7a76\u8005\u4e8e 2025 \u5e74\u63a8\u51fa\uff0c\u7ed3\u5408\u4e86\u5148\u8fdb\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u7b97\u6cd5\uff0c\u9002\u7528\u4e8e\u9700\u8981\u9ad8\u8d28\u91cf\u89c6\u9891\u5206\u5272\u7684\u573a\u666f\uff0c\u4f8b\u5982\u5f71\u89c6\u540e\u671f\u5236\u4f5c\u3001\u865a\u62df\u80cc\u666f\u66ff\u6362\u7b49\u3002MatAnyone \u7684\u6838\u5fc3\u4f18\u52bf\u5728\u4e8e\u5176\u5185\u5b58\u878d\u5408\u6a21\u5757\uff0c\u80fd\u591f\u5728\u4fdd\u6301\u6838\u5fc3\u533a\u57df\u8bed\u4e49\u7a33\u5b9a\u7684\u540c\u65f6\uff0c\u7cbe\u7ec6\u4fdd\u7559\u5bf9\u8c61\u8fb9\u754c\u7ec6\u8282\u3002\u8be5\u9879\u76ee\u5df2\u5728\u5b66\u672f\u754c\u548c\u5f00\u6e90\u793e\u533a\u4e2d\u5f15\u8d77\u5173\u6ce8\uff0c\u5e76\u4ee5 NTU S-Lab License 1.0 \u8bb8\u53ef\u53d1\u5e03\uff0c\u7528\u6237\u53ef\u514d\u8d39\u4e0b\u8f7d\u3001\u4f7f\u7528\u548c\u4fee\u6539\u4ee3\u7801\u3002<\/p>\n<p><img decoding=\"async\" title=\"MatAnyone: \u7a33\u5b9a\u62a0\u9664\u89c6\u9891\u4e2d\u4eba\u7269\u5143\u7d20\u7684\u5f00\u6e90\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/db721e90e1c4be7.png\" alt=\"MatAnyone: \u7a33\u5b9a\u62a0\u9664\u89c6\u9891\u4e2d\u4eba\u7269\u5143\u7d20\u7684\u5f00\u6e90\u5de5\u5177-1\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u76ee\u6807\u6307\u5b9a\u89c6\u9891\u62a0\u50cf<\/strong>\uff1a\u652f\u6301\u7528\u6237\u6307\u5b9a\u7279\u5b9a\u5bf9\u8c61\u8fdb\u884c\u62a0\u50cf\uff0c\u9002\u7528\u4e8e\u4eba\u7269\u6216\u5176\u4ed6\u52a8\u6001\u76ee\u6807\u7684\u89c6\u9891\u5206\u5272\u3002<\/li>\n<li><strong>\u4e00\u81f4\u6027\u8bb0\u5fc6\u4f20\u64ad<\/strong>\uff1a\u901a\u8fc7\u533a\u57df\u81ea\u9002\u5e94\u5185\u5b58\u878d\u5408\uff0c\u786e\u4fdd\u89c6\u9891\u5e27\u95f4\u62a0\u50cf\u7ed3\u679c\u7684\u8fde\u8d2f\u6027\u3002<\/li>\n<li><strong>\u9ad8\u8d28\u91cf\u8fb9\u754c\u5904\u7406<\/strong>\uff1a\u7cbe\u7ec6\u4fdd\u7559\u5bf9\u8c61\u8fb9\u7f18\u7ec6\u8282\uff0c\u63d0\u5347\u62a0\u50cf\u7cbe\u5ea6\uff0c\u9002\u7528\u4e8e\u4e13\u4e1a\u89c6\u9891\u7f16\u8f91\u3002<\/li>\n<li><strong>\u9996\u5e27\u63a9\u7801\u9884\u6d4b<\/strong>\uff1a\u57fa\u4e8e\u9996\u5e27\u5206\u5272\u63a9\u7801\u9884\u6d4b\u540e\u7eed\u5e27\u7684\u900f\u660e\u5ea6\u8499\u7248\uff08alpha matte\uff09\uff0c\u65e0\u9700\u989d\u5916\u8f85\u52a9\u8f93\u5165\u3002<\/li>\n<li><strong>\u5f00\u6e90\u4ee3\u7801\u652f\u6301<\/strong>\uff1a\u63d0\u4f9b\u5b8c\u6574\u4ee3\u7801\u548c\u6587\u6863\uff0c\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u4f18\u5316\u6216\u4e8c\u6b21\u5f00\u53d1\u3002<\/li>\n<li><strong>\u8de8\u5e73\u53f0\u517c\u5bb9\u6027<\/strong>\uff1a\u53ef\u5728\u591a\u79cd\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u8fd0\u884c\uff0c\u4fbf\u4e8e\u5f00\u53d1\u8005\u96c6\u6210\u5230\u73b0\u6709\u5de5\u4f5c\u6d41\u4e2d\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>MatAnyone \u4f5c\u4e3a\u4e00\u4e2a GitHub \u5f00\u6e90\u9879\u76ee\uff0c\u9700\u8981\u7528\u6237\u5177\u5907\u57fa\u672c\u7684 Python \u7f16\u7a0b\u73af\u5883\u548c Git \u5de5\u5177\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<h4>1. \u73af\u5883\u51c6\u5907<\/h4>\n<ul>\n<li><strong>\u64cd\u4f5c\u7cfb\u7edf<\/strong>\uff1a\u652f\u6301 Windows\u3001Linux \u6216 macOS\u3002<\/li>\n<li><strong>\u8f6f\u4ef6\u4f9d\u8d56<\/strong>\uff1a\n<ul>\n<li>Python 3.8 \u6216\u4ee5\u4e0a\u7248\u672c\u3002<\/li>\n<li>Git\uff08\u7528\u4e8e\u4ece GitHub \u514b\u9686\u4ee3\u7801\uff09\u3002<\/li>\n<li>Conda\uff08\u63a8\u8350\u7528\u4e8e\u521b\u5efa\u865a\u62df\u73af\u5883\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u5efa\u8bae\u914d\u5907 GPU\uff08\u5982 NVIDIA \u663e\u5361\uff09\u4ee5\u52a0\u901f\u63a8\u7406\u8fc7\u7a0b\uff0cCPU \u4e5f\u53ef\u8fd0\u884c\u4f46\u901f\u5ea6\u8f83\u6162\u3002<\/li>\n<\/ul>\n<h4>2. \u4e0b\u8f7d\u4ee3\u7801<\/h4>\n<p>\u6253\u5f00\u7ec8\u7aef\u6216\u547d\u4ee4\u884c\uff0c\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u514b\u9686 MatAnyone \u4ed3\u5e93\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/pq-yang\/MatAnyone.git\r\ncd MatAnyone\r\n<\/code><\/pre>\n<p>\u8fd9\u4f1a\u5c06\u9879\u76ee\u6587\u4ef6\u4e0b\u8f7d\u5230\u672c\u5730\u76ee\u5f55\u3002<\/p>\n<h4>3. \u521b\u5efa\u865a\u62df\u73af\u5883<\/h4>\n<p>\u4f7f\u7528 Conda \u521b\u5efa\u5e76\u6fc0\u6d3b\u4e00\u4e2a\u72ec\u7acb\u7684 Python \u73af\u5883\uff0c\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\uff1a<\/p>\n<pre><code>conda create -n matanyone python=3.8 -y\r\nconda activate matanyone\r\n<\/code><\/pre>\n<h4>4. \u5b89\u88c5\u4f9d\u8d56<\/h4>\n<p>\u5728\u9879\u76ee\u6839\u76ee\u5f55\u4e0b\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u9700 Python \u5e93\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u4f9d\u8d56\u6587\u4ef6\u00a0<code>requirements.txt<\/code>\u00a0\u5df2\u5305\u542b\u9879\u76ee\u6240\u9700\u7684\u6240\u6709\u5e93\uff0c\u5982 PyTorch\u3001OpenCV \u7b49\u3002\u5982\u679c\u9047\u5230\u7f51\u7edc\u95ee\u9898\uff0c\u53ef\u5c1d\u8bd5\u66f4\u6362pip\u6e90\uff08\u5982\u4f7f\u7528\u00a0<code>pip install -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple -r requirements.txt<\/code>\uff09\u3002<\/p>\n<h4>5. \u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b<\/h4>\n<p>MatAnyone \u9700\u8981\u9884\u8bad\u7ec3\u6a21\u578b\u6587\u4ef6\u624d\u80fd\u8fd0\u884c\u3002\u4f5c\u8005\u5728\u9879\u76ee\u9875\u9762\u63d0\u4f9b\u4e86\u6a21\u578b\u4e0b\u8f7d\u94fe\u63a5\uff08\u901a\u5e38\u5728 README.md \u4e2d\uff09\uff0c\u7528\u6237\u9700\u624b\u52a8\u4e0b\u8f7d\u5e76\u653e\u7f6e\u5728\u6307\u5b9a\u6587\u4ef6\u5939\uff08\u5982\u00a0<code>models\/<\/code>\u00a0\u76ee\u5f55\uff09\u3002\u5177\u4f53\u6b65\u9aa4\uff1a<\/p>\n<ul>\n<li>\u8bbf\u95ee GitHub \u9879\u76ee\u9875\u9762\uff08https:\/\/github.com\/pq-yang\/MatAnyone\uff09\u3002<\/li>\n<li>\u627e\u5230 README \u4e2d\u7684\u6a21\u578b\u4e0b\u8f7d\u94fe\u63a5\uff08\u53ef\u80fd\u6307\u5411 Google Drive \u6216 Hugging Face\uff09\u3002<\/li>\n<li>\u4e0b\u8f7d\u540e\u89e3\u538b\uff0c\u5c06\u6a21\u578b\u6587\u4ef6\u653e\u5165\u00a0<code>MatAnyone\/models\/<\/code>\u00a0\u76ee\u5f55\u3002<\/li>\n<\/ul>\n<h4>6. \u9a8c\u8bc1\u5b89\u88c5<\/h4>\n<p>\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u68c0\u67e5\u73af\u5883\u662f\u5426\u914d\u7f6e\u6210\u529f\uff1a<\/p>\n<pre><code>python test.py\r\n<\/code><\/pre>\n<p>\u5982\u679c\u6ca1\u6709\u62a5\u9519\uff0c\u8bf4\u660e\u5b89\u88c5\u5b8c\u6210\uff0c\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528\u3002<\/p>\n<h3>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c\u6d41\u7a0b<\/h3>\n<p>MatAnyone \u7684\u6838\u5fc3\u529f\u80fd\u662f\u76ee\u6807\u6307\u5b9a\u7684\u89c6\u9891\u62a0\u50cf\uff0c\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528\u7684\u4e3b\u8981\u6b65\u9aa4\uff1a<\/p>\n<h4>\u529f\u80fd 1\uff1a\u76ee\u6807\u6307\u5b9a\u89c6\u9891\u62a0\u50cf<\/h4>\n<ol>\n<li><strong>\u51c6\u5907\u8f93\u5165\u89c6\u9891<\/strong>\uff1a\n<ul>\n<li>\u5c06\u9700\u8981\u5904\u7406\u7684\u89c6\u9891\u6587\u4ef6\uff08\u5982\u00a0<code>input_video.mp4<\/code>\uff09\u653e\u5165\u9879\u76ee\u76ee\u5f55\u4e0b\u7684\u00a0<code>data\/<\/code>\u00a0\u6587\u4ef6\u5939\uff08\u82e5\u65e0\u6b64\u6587\u4ef6\u5939\u53ef\u624b\u52a8\u521b\u5efa\uff09\u3002<\/li>\n<li>\u786e\u4fdd\u89c6\u9891\u683c\u5f0f\u652f\u6301\uff08\u5982 MP4\u3001AVI\uff09\u4e14\u5206\u8fa8\u7387\u9002\u4e2d\uff08\u8fc7\u9ad8\u53ef\u80fd\u9700\u8981\u66f4\u591a\u8ba1\u7b97\u8d44\u6e90\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u751f\u6210\u9996\u5e27\u63a9\u7801<\/strong>\uff1a\n<ul>\n<li>\u4f7f\u7528\u5916\u90e8\u5de5\u5177\uff08\u5982 Photoshop \u6216\u5f00\u6e90\u5206\u5272\u5de5\u5177\uff09\u4e3a\u89c6\u9891\u7684\u7b2c\u4e00\u5e27\u751f\u6210\u76ee\u6807\u5bf9\u8c61\u7684\u5206\u5272\u63a9\u7801\uff08\u683c\u5f0f\u4e3a PNG\uff0c\u767d\u8272\u8868\u793a\u76ee\u6807\u533a\u57df\uff0c\u9ed1\u8272\u8868\u793a\u80cc\u666f\uff09\u3002<\/li>\n<li>\u5c06\u63a9\u7801\u6587\u4ef6\u547d\u540d\u4e3a\u00a0<code>mask_frame1.png<\/code>\uff0c\u653e\u5165\u00a0<code>data\/masks\/<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8fd0\u884c\u62a0\u50cf\u547d\u4ee4<\/strong>\uff1a<br \/>\n\u5728\u7ec8\u7aef\u4e2d\u8fdb\u5165\u9879\u76ee\u76ee\u5f55\uff0c\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code>python inference.py --video data\/input_video.mp4 --mask data\/masks\/mask_frame1.png --output output\/\r\n<\/code><\/pre>\n<ul>\n<li><code>--video<\/code>\u00a0\u6307\u5b9a\u8f93\u5165\u89c6\u9891\u8def\u5f84\u3002<\/li>\n<li><code>--mask<\/code>\u00a0\u6307\u5b9a\u9996\u5e27\u63a9\u7801\u8def\u5f84\u3002<\/li>\n<li><code>--output<\/code>\u00a0\u6307\u5b9a\u8f93\u51fa\u6587\u4ef6\u5939\uff0c\u7ed3\u679c\u5c06\u4fdd\u5b58\u4e3a\u900f\u660e\u80cc\u666f\u7684\u89c6\u9891\u6587\u4ef6\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u67e5\u770b\u7ed3\u679c<\/strong>\uff1a\n<ul>\n<li>\u5904\u7406\u5b8c\u6210\u540e\uff0c\u6253\u5f00\u00a0<code>output\/<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u751f\u6210\u7684\u62a0\u50cf\u89c6\u9891\u5c06\u4ee5\u5e27\u5e8f\u5217\u6216\u5b8c\u6574\u89c6\u9891\u5f62\u5f0f\u5b58\u50a8\uff08\u53d6\u51b3\u4e8e\u914d\u7f6e\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h4>\u529f\u80fd 2\uff1a\u4e00\u81f4\u6027\u8bb0\u5fc6\u4f20\u64ad<\/h4>\n<ul>\n<li><strong>\u539f\u7406<\/strong>\uff1aMatAnyone \u901a\u8fc7\u8bb0\u5fc6\u524d\u4e00\u5e27\u7684\u7279\u5f81\uff0c\u878d\u5408\u5230\u5f53\u524d\u5e27\u7684\u5904\u7406\u4e2d\uff0c\u786e\u4fdd\u62a0\u50cf\u7ed3\u679c\u5728\u65f6\u95f4\u7ef4\u5ea6\u4e0a\u8fde\u8d2f\u3002<\/li>\n<li><strong>\u64cd\u4f5c<\/strong>\uff1a\u65e0\u9700\u989d\u5916\u914d\u7f6e\uff0c\u6b64\u529f\u80fd\u5185\u7f6e\u4e8e\u63a8\u7406\u6d41\u7a0b\u4e2d\u3002\u53ea\u8981\u63d0\u4f9b\u9996\u5e27\u63a9\u7801\uff0c\u7a0b\u5e8f\u4f1a\u81ea\u52a8\u9010\u5e27\u4f20\u64ad\u8bb0\u5fc6\u3002<\/li>\n<li><strong>\u4f18\u5316\u6280\u5de7<\/strong>\uff1a\n<ul>\n<li>\u5982\u679c\u89c6\u9891\u4e2d\u6709\u7a81\u7136\u7684\u5149\u7167\u53d8\u5316\uff0c\u53ef\u8c03\u6574\u914d\u7f6e\u6587\u4ef6\u4e2d\u7684\u53c2\u6570\uff08\u5982\u00a0<code>memory_fusion_rate<\/code>\uff09\uff0c\u5177\u4f53\u53c2\u6570\u8bf4\u660e\u89c1\u00a0<code>config.yaml<\/code>\u00a0\u6587\u4ef6\u3002<\/li>\n<li>\u793a\u4f8b\u8c03\u6574\u547d\u4ee4\uff1a\n<pre><code>python inference.py --video data\/input_video.mp4 --mask data\/masks\/mask_frame1.png --config config.yaml --output output\/\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>\u529f\u80fd 3\uff1a\u9ad8\u8d28\u91cf\u8fb9\u754c\u5904\u7406<\/h4>\n<ul>\n<li><strong>\u542f\u7528\u65b9\u6cd5<\/strong>\uff1a\u9ed8\u8ba4\u5f00\u542f\uff0c\u65e0\u9700\u989d\u5916\u64cd\u4f5c\u3002\u7a0b\u5e8f\u4f1a\u81ea\u52a8\u4f18\u5316\u8fb9\u7f18\u7ec6\u8282\u3002<\/li>\n<li><strong>\u9a8c\u8bc1\u6548\u679c<\/strong>\uff1a\u5904\u7406\u590d\u6742\u80cc\u666f\u89c6\u9891\uff08\u5982\u4eba\u7269\u5934\u53d1\u5728\u98ce\u4e2d\u6446\u52a8\uff09\u65f6\uff0c\u89c2\u5bdf\u8f93\u51fa\u89c6\u9891\u4e2d\u8fb9\u754c\u662f\u5426\u81ea\u7136\u3002<\/li>\n<li><strong>\u589e\u5f3a\u6548\u679c<\/strong>\uff1a\u82e5\u7ed3\u679c\u4e0d\u591f\u7406\u60f3\uff0c\u53ef\u5c1d\u8bd5\u589e\u5927\u63a8\u7406\u5206\u8fa8\u7387\uff0c\u5728\u547d\u4ee4\u4e2d\u6dfb\u52a0\u00a0<code>--resolution 1080<\/code>\u00a0\u53c2\u6570\uff1a\n<pre><code>python inference.py --video data\/input_video.mp4 --mask data\/masks\/mask_frame1.png --resolution 1080 --output output\/\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h3>\u4f7f\u7528\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u8ba1\u7b97\u8d44\u6e90<\/strong>\uff1aGPU \u73af\u5883\u4e0b\u5904\u7406\u901f\u5ea6\u66f4\u5feb\uff0c\u82e5\u4f7f\u7528 CPU\uff0c\u5efa\u8bae\u7f29\u77ed\u89c6\u9891\u957f\u5ea6\uff08\u5c0f\u4e8e 30 \u79d2\uff09\u4ee5\u51cf\u5c11\u7b49\u5f85\u65f6\u95f4\u3002<\/li>\n<li><strong>\u9996\u5e27\u63a9\u7801\u8d28\u91cf<\/strong>\uff1a\u63a9\u7801\u7cbe\u5ea6\u76f4\u63a5\u5f71\u54cd\u540e\u7eed\u5e27\u7ed3\u679c\uff0c\u5efa\u8bae\u4ed4\u7ec6\u7ed8\u5236\uff0c\u5c24\u5176\u662f\u8fb9\u7f18\u533a\u57df\u3002<\/li>\n<li><strong>\u6587\u6863\u53c2\u8003<\/strong>\uff1a\u5982\u9047\u95ee\u9898\uff0c\u53ef\u67e5\u9605\u00a0<code>README.md<\/code>\u00a0\u6216\u8054\u7cfb\u4f5c\u8005\uff08\u90ae\u7bb1\uff1apeiqingyang99@outlook.com\uff09\u83b7\u53d6\u5e2e\u52a9\u3002<\/li>\n<li><strong>\u793e\u533a\u652f\u6301<\/strong>\uff1aGitHub Issues \u9875\u9762\u6709\u7528\u6237\u53cd\u9988\u548c\u89e3\u51b3\u65b9\u6848\uff0c\u5efa\u8bae\u5b9a\u671f\u67e5\u770b\u66f4\u65b0\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u7528\u6237\u53ef\u4ee5\u5feb\u901f\u4e0a\u624b MatAnyone\uff0c\u5b8c\u6210\u4ece\u5b89\u88c5\u5230\u89c6\u9891\u62a0\u50cf\u7684\u5168\u6d41\u7a0b\u64cd\u4f5c\u3002\u65e0\u8bba\u662f\u4e13\u4e1a\u7f16\u8f91\u8fd8\u662f\u7814\u7a76\u5f00\u53d1\uff0cMatAnyone \u90fd\u80fd\u63d0\u4f9b\u7a33\u5b9a\u7684\u6280\u672f\u652f\u6301\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>MatAnyone \u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u89c6\u9891\u62a0\u50cf\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u7531\u65b0\u52a0\u5761\u5357\u6d0b\u7406\u5de5\u5927\u5b66 S-Lab \u7684\u7814\u7a76\u56e2\u961f\u5f00\u53d1\u5e76\u5728 GitHub \u4e0a\u53d1\u5e03\u3002\u5b83\u901a\u8fc7\u4e00\u81f4\u6027\u8bb0\u5fc6\u4f20\u64ad\u6280\u672f\uff0c\u4e3a\u7528\u6237\u63d0\u4f9b\u7a33\u5b9a\u9ad8\u6548\u7684\u89c6\u9891\u5904\u7406\u80fd\u529b\uff0c\u5c24\u5176\u64c5\u957f\u5904\u7406\u590d\u6742\u80cc\u666f\u4e0b\u7684\u76ee\u6807\u6307\u5b9a\u62a0\u50cf\u4efb\u52a1\u3002\u9879\u76ee\u7531 P&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61867,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,197],"class_list":["post-21556","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aiyinshipinbianji"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/21556","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=21556"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/21556\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/61867"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=21556"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=21556"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=21556"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}