{"id":110065,"date":"2026-09-25T20:17:16","date_gmt":"2026-09-25T12:17:16","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/110065.html"},"modified":"2026-09-25T20:17:16","modified_gmt":"2026-09-25T12:17:16","slug":"%e5%bb%ba%e7%ad%91%e7%89%a9%e6%8d%9f%e4%bc%a4%e5%88%86%e5%89%b2-yolov8%e5%af%b9%e5%bb%ba%e7%ad%91%e7%89%a9%e6%8d%9f%e4%bc%a4%e5%88%86%e5%89%b2-%e6%a3%80%e6%b5%8b%e6%95%b0%e6%8d%ae%e9%9b%86%e8%bf%9b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/110065.html","title":{"rendered":"\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272 YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272 \u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec3"},"content":{"rendered":"<h2>\u5982\u4f55\u4f7f\u7528Segmentation Models\u5e93\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406_\u5e76\u4f7f\u7528YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec3<\/h2>\n<p>\u4ee5\u4e0b\u6587\u5b57\u53ca\u4ee3\u7801\u4ec5\u4f9b\u53c2\u8003\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260925121713-6ab666490e303.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<\/p>\n<h4>\u6587\u7ae0\u76ee\u5f55<\/h4>\n<ul>\n<li>\u5982\u4f55\u4f7f\u7528Segmentation Models\u5e93\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406_\u5e76\u4f7f\u7528YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec3<\/li>\n<li>\n<ul>\n<li>\n<ul>\n<li>1. \u6570\u636e\u96c6\u51c6\u5907<\/li>\n<li>2. \u5b89\u88c5\u4f9d\u8d56\u5e93<\/li>\n<li>3. VOC\u8f6cPNG\u63a9\u7801<\/li>\n<li>4. \u6a21\u578b\u8bad\u7ec3<\/li>\n<li>\n<ul>\n<li>\u8bad\u7ec3\u811a\u672c<\/li>\n<\/ul>\n<\/li>\n<li>5. \u63a8\u7406\u4e0e\u7ed3\u679c\u53ef\u89c6\u5316<\/li>\n<li>\n<ul>\n<li>\u63a8\u7406\u811a\u672c<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260925121714-6ab6664a20cf8.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6&#xff0c;voc\u6807\u6ce8<\/p>\n<table>\n<tr>\u7c7b\u522b\u540d\u79f0\u6807\u6ce8\u6570\u91cf<\/tr>\n<tbody>\n<tr>\n<td>Graffiti &#8211; \u6d82\u9e26<\/td>\n<td>1883<\/td>\n<\/tr>\n<tr>\n<td>Drainage &#8211; \u6392\u6c34\u95ee\u9898<\/td>\n<td>1402<\/td>\n<\/tr>\n<tr>\n<td>Wetspot &#8211; \u6e7f\u6591<\/td>\n<td>1445<\/td>\n<\/tr>\n<tr>\n<td>Weathering &#8211; \u98ce\u5316<\/td>\n<td>4066<\/td>\n<\/tr>\n<tr>\n<td>Crack &#8211; \u88c2\u7f1d<\/td>\n<td>3155<\/td>\n<\/tr>\n<tr>\n<td>Rockpocket &#8211; \u5ca9\u77f3\u51f9\u5751<\/td>\n<td>525<\/td>\n<\/tr>\n<tr>\n<td>Spalling &#8211; \u5265\u843d<\/td>\n<td>8484<\/td>\n<\/tr>\n<tr>\n<td>WConccor &#8211; \u6c34\u4fb5\u8680\u6df7\u51dd\u571f<\/td>\n<td>360<\/td>\n<\/tr>\n<tr>\n<td>Cavity &#8211; \u7a7a\u6d1e<\/td>\n<td>8119<\/td>\n<\/tr>\n<tr>\n<td>Efflorescence &#8211; \u6cdb\u78b1<\/td>\n<td>3454<\/td>\n<\/tr>\n<tr>\n<td>Rust &#8211; \u751f\u9508<\/td>\n<td>12844<\/td>\n<\/tr>\n<tr>\n<td>PEquipment &#8211; \u9632\u62a4\u8bbe\u5907<\/td>\n<td>1677<\/td>\n<\/tr>\n<tr>\n<td>ExposedRebars &#8211; \u9732\u7b4b<\/td>\n<td>1755<\/td>\n<\/tr>\n<tr>\n<td>Bearing &#8211; \u652f\u5ea7<\/td>\n<td>1048<\/td>\n<\/tr>\n<tr>\n<td>Hollowareas &#8211; \u7a7a\u6d1e\u533a\u57df<\/td>\n<td>1362<\/td>\n<\/tr>\n<tr>\n<td>JTape &#8211; \u63a5\u5934\u80f6\u5e26<\/td>\n<td>923<\/td>\n<\/tr>\n<tr>\n<td>Restformwork &#8211; \u5269\u4f59\u6a21\u677f<\/td>\n<td>851<\/td>\n<\/tr>\n<tr>\n<td>ACrack &#8211; \u6d3b\u52a8\u88c2\u7f1d<\/td>\n<td>376<\/td>\n<\/tr>\n<tr>\n<td>EJoint &#8211; \u4f38\u7f29\u7f1d<\/td>\n<td>450<\/td>\n<\/tr>\n<tr>\n<td>image num &#8211; \u56fe\u50cf\u6570\u91cf<\/td>\n<td>6934<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4f7f\u7528YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406&#xff0c;\u6211\u4eec\u5c06\u9075\u5faa\u4ee5\u4e0b\u6b65\u9aa4&#xff1a;\u51c6\u5907\u6570\u636e\u96c6\u3001\u914d\u7f6e\u6a21\u578b\u53c2\u6570\u3001\u8bad\u7ec3\u6a21\u578b\u3001\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u4ee5\u53ca\u63a8\u7406\u548c\u7ed3\u679c\u53ef\u89c6\u5316\u3002&#xff0c;\u6211\u4eec\u8fd9\u91cc\u9009\u62e9\u4f7f\u7528Segmentation Models\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002 <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260925121714-6ab6664a86748.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h4>1. \u6570\u636e\u96c6\u51c6\u5907<\/h4>\n<p>\u5047\u8bbe\u4f60\u7684\u6570\u636e\u96c6\u7ed3\u6784\u5982\u4e0b&#xff1a;<\/p>\n<p>building_damage_detection\/<br \/>\n\u251c\u2500\u2500 images\/<br \/>\n\u2502   \u251c\u2500\u2500 train\/<br \/>\n\u2502   \u2502   \u251c\u2500\u2500 img1.jpg<br \/>\n\u2502   \u2502   \u2514\u2500\u2500 &#8230;<br \/>\n\u2502   \u251c\u2500\u2500 val\/<br \/>\n\u2502   \u2502   \u251c\u2500\u2500 img1.jpg<br \/>\n\u2502   \u2502   \u2514\u2500\u2500 &#8230;<br \/>\n\u2502   \u2514\u2500\u2500 test\/<br \/>\n\u2502       \u251c\u2500\u2500 img1.jpg<br \/>\n\u2502       \u2514\u2500\u2500 &#8230;<br \/>\n\u2514\u2500\u2500 annotations\/<br \/>\n    \u251c\u2500\u2500 train\/<br \/>\n    \u2502   \u251c\u2500\u2500 img1.xml<br \/>\n    \u2502   \u2514\u2500\u2500 &#8230;<br \/>\n    \u251c\u2500\u2500 val\/<br \/>\n    \u2502   \u251c\u2500\u2500 img1.xml<br \/>\n    \u2502   \u2514\u2500\u2500 &#8230;<br \/>\n    \u2514\u2500\u2500 test\/<br \/>\n        \u251c\u2500\u2500 img1.xml<br \/>\n        \u2514\u2500\u2500 &#8230;<br \/>\ndata_building_damage.yaml<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260925121715-6ab6664b0d3bd.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>data_building_damage.yaml \u6587\u4ef6\u5185\u5bb9\u793a\u4f8b&#xff1a;<\/p>\n<p><span class=\"token key atrule\">train<\/span><span class=\"token punctuation\">:<\/span> .\/building_damage_detection\/images\/train\/<br \/>\n<span class=\"token key atrule\">val<\/span><span class=\"token punctuation\">:<\/span> .\/building_damage_detection\/images\/val\/<br \/>\n<span class=\"token key atrule\">test<\/span><span class=\"token punctuation\">:<\/span> .\/building_damage_detection\/images\/test\/<\/p>\n<p><span class=\"token key atrule\">nc<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">19<\/span>  <span class=\"token comment\"># \u7c7b\u522b\u6570\u91cf<\/span><br \/>\n<span class=\"token key atrule\">names<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;Graffiti&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Drainage&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Wetspot&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Weathering&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Crack&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Rockpocket&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Spalling&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;WConccor&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Cavity&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Efflorescence&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Rust&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;PEquipment&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;ExposedRebars&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Bearing&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Hollowareas&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;JTape&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Restformwork&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;ACrack&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;EJoint&#039;<\/span><span class=\"token punctuation\">]<\/span><\/p>\n<p>\u9700\u8981\u5c06VOC\u683c\u5f0f\u7684\u6807\u6ce8\u8f6c\u6362\u4e3a\u9002\u5408Segmentation Models\u4f7f\u7528\u7684\u683c\u5f0f&#xff08;\u5982PNG\u683c\u5f0f\u7684\u63a9\u7801\u56fe\u50cf&#xff09;\u3002\u53ef\u4ee5\u7f16\u5199\u4e00\u4e2a\u811a\u672c\u6765\u5b9e\u73b0\u8fd9\u4e00\u8f6c\u6362\u3002<\/p>\n<h4>2. \u5b89\u88c5\u4f9d\u8d56\u5e93<\/h4>\n<p>\u786e\u4fdd\u5b89\u88c5\u4e86\u5fc5\u8981\u7684\u5e93&#xff1a;<\/p>\n<p>pip <span class=\"token function\">install<\/span> segmentation-models-pytorch albumentations opencv-python-headless torch torchvision xmltodict<\/p>\n<h4>3. VOC\u8f6cPNG\u63a9\u7801<\/h4>\n<p>\u7f16\u5199\u811a\u672c\u5c06VOC\u683c\u5f0f\u7684XML\u6587\u4ef6\u8f6c\u6362\u4e3aPNG\u683c\u5f0f\u7684\u63a9\u7801\u56fe\u50cf&#xff1a;<\/p>\n<p><span class=\"token keyword\">import<\/span> os<br \/>\n<span class=\"token keyword\">import<\/span> cv2<br \/>\n<span class=\"token keyword\">import<\/span> numpy <span class=\"token keyword\">as<\/span> np<br \/>\n<span class=\"token keyword\">import<\/span> xmltodict<\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">voc_to_mask<\/span><span class=\"token punctuation\">(<\/span>xml_path<span class=\"token punctuation\">,<\/span> class_dict<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">with<\/span> <span class=\"token builtin\">open<\/span><span class=\"token punctuation\">(<\/span>xml_path<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;r&#039;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">as<\/span> xml_file<span class=\"token punctuation\">:<\/span><br \/>\n        data <span class=\"token operator\">&#061;<\/span> xmltodict<span class=\"token punctuation\">.<\/span>parse<span class=\"token punctuation\">(<\/span>xml_file<span class=\"token punctuation\">.<\/span>read<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    height <span class=\"token operator\">&#061;<\/span> <span class=\"token builtin\">int<\/span><span class=\"token punctuation\">(<\/span>data<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;annotation&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;size&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;height&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    width <span class=\"token operator\">&#061;<\/span> <span class=\"token builtin\">int<\/span><span class=\"token punctuation\">(<\/span>data<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;annotation&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;size&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;width&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    mask <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>zeros<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">(<\/span>height<span class=\"token punctuation\">,<\/span> width<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> dtype<span class=\"token operator\">&#061;<\/span>np<span class=\"token punctuation\">.<\/span>uint8<span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token keyword\">if<\/span> <span class=\"token string\">&#039;object&#039;<\/span> <span class=\"token keyword\">in<\/span> data<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;annotation&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">for<\/span> obj <span class=\"token keyword\">in<\/span> data<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;annotation&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;object&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">:<\/span><br \/>\n            name <span class=\"token operator\">&#061;<\/span> obj<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;name&#039;<\/span><span class=\"token punctuation\">]<\/span><br \/>\n            cls_id <span class=\"token operator\">&#061;<\/span> class_dict<span class=\"token punctuation\">[<\/span>name<span class=\"token punctuation\">]<\/span><br \/>\n            polygon <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">(<\/span><span class=\"token builtin\">int<\/span><span class=\"token punctuation\">(<\/span>pt<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;x&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">int<\/span><span class=\"token punctuation\">(<\/span>pt<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;y&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">for<\/span> pt <span class=\"token keyword\">in<\/span> obj<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;polygon&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;pt&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">]<\/span><br \/>\n            cv2<span class=\"token punctuation\">.<\/span>fillPoly<span class=\"token punctuation\">(<\/span>mask<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">[<\/span>np<span class=\"token punctuation\">.<\/span>array<span class=\"token punctuation\">(<\/span>polygon<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> cls_id<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> mask<\/p>\n<p>class_dict <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token string\">&#039;Graffiti&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Drainage&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Wetspot&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Weathering&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Crack&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">4<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#039;Rockpocket&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">5<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Spalling&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">6<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;WConccor&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">7<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Cavity&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">8<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Efflorescence&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">9<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#039;Rust&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">10<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;PEquipment&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">11<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;ExposedRebars&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">12<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Bearing&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">13<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Hollowareas&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">14<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#039;JTape&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">15<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Restformwork&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">16<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;ACrack&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">17<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;EJoint&#039;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">18<\/span><br \/>\n<span class=\"token punctuation\">}<\/span><\/p>\n<p><span class=\"token comment\"># \u793a\u4f8b\u8c03\u7528<\/span><br \/>\n<span class=\"token keyword\">for<\/span> folder <span class=\"token keyword\">in<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;train&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;val&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;test&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    annotation_folder <span class=\"token operator\">&#061;<\/span> <span class=\"token string-interpolation\"><span class=\"token string\">f&#034;.\/building_damage_detection\/annotations\/<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>folder<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\/&#034;<\/span><\/span><br \/>\n    mask_folder <span class=\"token operator\">&#061;<\/span> <span class=\"token string-interpolation\"><span class=\"token string\">f&#034;.\/building_damage_detection\/masks\/<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>folder<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\/&#034;<\/span><\/span><br \/>\n    os<span class=\"token punctuation\">.<\/span>makedirs<span class=\"token punctuation\">(<\/span>mask_folder<span class=\"token punctuation\">,<\/span> exist_ok<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">for<\/span> xml_file <span class=\"token keyword\">in<\/span> os<span class=\"token punctuation\">.<\/span>listdir<span class=\"token punctuation\">(<\/span>annotation_folder<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        mask <span class=\"token operator\">&#061;<\/span> voc_to_mask<span class=\"token punctuation\">(<\/span>os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>annotation_folder<span class=\"token punctuation\">,<\/span> xml_file<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> class_dict<span class=\"token punctuation\">)<\/span><br \/>\n        cv2<span class=\"token punctuation\">.<\/span>imwrite<span class=\"token punctuation\">(<\/span>os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>mask_folder<span class=\"token punctuation\">,<\/span> xml_file<span class=\"token punctuation\">.<\/span>replace<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;.xml&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;.png&#039;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> mask<span class=\"token punctuation\">)<\/span><\/p>\n<h4>4. \u6a21\u578b\u8bad\u7ec3<\/h4>\n<p>\u521b\u5efa\u4e00\u4e2aPython\u811a\u672c\u6765\u5f00\u59cb\u8bad\u7ec3\u8fc7\u7a0b\u3002\u8fd9\u91cc\u6211\u4eec\u4ee5PSPNet\u4e3a\u4f8b\u8bf4\u660e\u5982\u4f55\u4f7f\u7528Segmentation Models\u5e93\u3002<\/p>\n<h5>\u8bad\u7ec3\u811a\u672c<\/h5>\n<p><span class=\"token keyword\">from<\/span> segmentation_models_pytorch <span class=\"token keyword\">import<\/span> PSPNet<br \/>\n<span class=\"token keyword\">from<\/span> torch<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>data <span class=\"token keyword\">import<\/span> DataLoader<br \/>\n<span class=\"token keyword\">import<\/span> torch<br \/>\n<span class=\"token keyword\">from<\/span> torch <span class=\"token keyword\">import<\/span> nn<br \/>\n<span class=\"token keyword\">from<\/span> dataset <span class=\"token keyword\">import<\/span> BuildingDamageDataset  <span class=\"token comment\"># \u5047\u8bbe\u4f60\u5df2\u5b9e\u73b0\u4e86\u4e00\u4e2a\u81ea\u5b9a\u4e49\u7684\u6570\u636e\u96c6\u7c7b<\/span><\/p>\n<p><span class=\"token keyword\">class<\/span> <span class=\"token class-name\">BuildingDamageDataset<\/span><span class=\"token punctuation\">(<\/span>torch<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>data<span class=\"token punctuation\">.<\/span>Dataset<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">def<\/span> <span class=\"token function\">__init__<\/span><span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">,<\/span> images_dir<span class=\"token punctuation\">,<\/span> masks_dir<span class=\"token punctuation\">,<\/span> transform<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">None<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        self<span class=\"token punctuation\">.<\/span>images_fps <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span>os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>images_dir<span class=\"token punctuation\">,<\/span> image_id<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">for<\/span> image_id <span class=\"token keyword\">in<\/span> os<span class=\"token punctuation\">.<\/span>listdir<span class=\"token punctuation\">(<\/span>images_dir<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">]<\/span><br \/>\n        self<span class=\"token punctuation\">.<\/span>masks_fps <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span>os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>masks_dir<span class=\"token punctuation\">,<\/span> mask_id<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>replace<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;.jpg&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;.png&#039;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">for<\/span> mask_id <span class=\"token keyword\">in<\/span> os<span class=\"token punctuation\">.<\/span>listdir<span class=\"token punctuation\">(<\/span>images_dir<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">]<\/span><br \/>\n        self<span class=\"token punctuation\">.<\/span>transform <span class=\"token operator\">&#061;<\/span> transform<\/p>\n<p>    <span class=\"token keyword\">def<\/span> <span class=\"token function\">__getitem__<\/span><span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">,<\/span> i<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        image <span class=\"token operator\">&#061;<\/span> cv2<span class=\"token punctuation\">.<\/span>imread<span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">.<\/span>images_fps<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        mask <span class=\"token operator\">&#061;<\/span> cv2<span class=\"token punctuation\">.<\/span>imread<span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">.<\/span>masks_fps<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        <span class=\"token keyword\">if<\/span> self<span class=\"token punctuation\">.<\/span>transform<span class=\"token punctuation\">:<\/span><br \/>\n            transformed <span class=\"token operator\">&#061;<\/span> self<span class=\"token punctuation\">.<\/span>transform<span class=\"token punctuation\">(<\/span>image<span class=\"token operator\">&#061;<\/span>image<span class=\"token punctuation\">,<\/span> mask<span class=\"token operator\">&#061;<\/span>mask<span class=\"token punctuation\">)<\/span><br \/>\n            image <span class=\"token operator\">&#061;<\/span> transformed<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;image&#039;<\/span><span class=\"token punctuation\">]<\/span><br \/>\n            mask <span class=\"token operator\">&#061;<\/span> transformed<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;mask&#039;<\/span><span class=\"token punctuation\">]<\/span><br \/>\n        <span class=\"token keyword\">return<\/span> image<span class=\"token punctuation\">,<\/span> mask<\/p>\n<p>    <span class=\"token keyword\">def<\/span> <span class=\"token function\">__len__<\/span><span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">return<\/span> <span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">.<\/span>images_fps<span class=\"token punctuation\">)<\/span><\/p>\n<p>ENCODER <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;resnet34&#039;<\/span><br \/>\nENCODER_WEIGHTS <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;imagenet&#039;<\/span><br \/>\nCLASSES <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;Graffiti&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Drainage&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Wetspot&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Weathering&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Crack&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Rockpocket&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Spalling&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;WConccor&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Cavity&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Efflorescence&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Rust&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;PEquipment&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;ExposedRebars&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Bearing&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Hollowareas&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;JTape&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Restformwork&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;ACrack&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;EJoint&#039;<\/span><span class=\"token punctuation\">]<\/span><br \/>\nACTIVATION <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;softmax2d&#039;<\/span><\/p>\n<p>model <span class=\"token operator\">&#061;<\/span> PSPNet<span class=\"token punctuation\">(<\/span><br \/>\n    encoder_name<span class=\"token operator\">&#061;<\/span>ENCODER<span class=\"token punctuation\">,<\/span><br \/>\n    encoder_weights<span class=\"token operator\">&#061;<\/span>ENCODER_WEIGHTS<span class=\"token punctuation\">,<\/span><br \/>\n    classes<span class=\"token operator\">&#061;<\/span><span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>CLASSES<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    activation<span class=\"token operator\">&#061;<\/span>ACTIVATION<span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><\/p>\n<p>preprocessing_fn <span class=\"token operator\">&#061;<\/span> smp<span class=\"token punctuation\">.<\/span>encoders<span class=\"token punctuation\">.<\/span>get_preprocessing_fn<span class=\"token punctuation\">(<\/span>ENCODER<span class=\"token punctuation\">,<\/span> ENCODER_WEIGHTS<span class=\"token punctuation\">)<\/span><\/p>\n<p>train_dataset <span class=\"token operator\">&#061;<\/span> BuildingDamageDataset<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;.\/building_damage_detection\/images\/train\/&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;.\/building_damage_detection\/masks\/train\/&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nvalid_dataset <span class=\"token operator\">&#061;<\/span> BuildingDamageDataset<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;.\/building_damage_detection\/images\/val\/&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;.\/building_damage_detection\/masks\/val\/&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>train_loader <span class=\"token operator\">&#061;<\/span> DataLoader<span class=\"token punctuation\">(<\/span>train_dataset<span class=\"token punctuation\">,<\/span> batch_size<span class=\"token operator\">&#061;<\/span><span class=\"token number\">16<\/span><span class=\"token punctuation\">,<\/span> shuffle<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span> num_workers<span class=\"token operator\">&#061;<\/span><span class=\"token number\">4<\/span><span class=\"token punctuation\">)<\/span><br \/>\nvalid_loader <span class=\"token operator\">&#061;<\/span> DataLoader<span class=\"token punctuation\">(<\/span>valid_dataset<span class=\"token punctuation\">,<\/span> batch_size<span class=\"token operator\">&#061;<\/span><span class=\"token number\">4<\/span><span class=\"token punctuation\">,<\/span> shuffle<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">,<\/span> num_workers<span class=\"token operator\">&#061;<\/span><span class=\"token number\">4<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>loss <span class=\"token operator\">&#061;<\/span> smp<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>losses<span class=\"token punctuation\">.<\/span>CrossEntropyLoss<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmetrics <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    smp<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>metrics<span class=\"token punctuation\">.<\/span>IoU<span class=\"token punctuation\">(<\/span>threshold<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.5<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p>optimizer <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span>optim<span class=\"token punctuation\">.<\/span>Adam<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token builtin\">dict<\/span><span class=\"token punctuation\">(<\/span>params<span class=\"token operator\">&#061;<\/span>model<span class=\"token punctuation\">.<\/span>parameters<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> lr<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.0001<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>train_epoch <span class=\"token operator\">&#061;<\/span> smp<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>train<span class=\"token punctuation\">.<\/span>TrainEpoch<span class=\"token punctuation\">(<\/span><br \/>\n    model<span class=\"token punctuation\">,<\/span><br \/>\n    loss<span class=\"token operator\">&#061;<\/span>loss<span class=\"token punctuation\">,<\/span><br \/>\n    metrics<span class=\"token operator\">&#061;<\/span>metrics<span class=\"token punctuation\">,<\/span><br \/>\n    optimizer<span class=\"token operator\">&#061;<\/span>optimizer<span class=\"token punctuation\">,<\/span><br \/>\n    device<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;cuda&#039;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    verbose<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><\/p>\n<p>valid_epoch <span class=\"token operator\">&#061;<\/span> smp<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>train<span class=\"token punctuation\">.<\/span>ValidEpoch<span class=\"token punctuation\">(<\/span><br \/>\n    model<span class=\"token punctuation\">,<\/span><br \/>\n    loss<span class=\"token operator\">&#061;<\/span>loss<span class=\"token punctuation\">,<\/span><br \/>\n    metrics<span class=\"token operator\">&#061;<\/span>metrics<span class=\"token punctuation\">,<\/span><br \/>\n    device<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;cuda&#039;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    verbose<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><\/p>\n<p>max_score <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> i <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">40<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>  <span class=\"token comment\"># \u8bad\u7ec3\u5468\u671f\u6570<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;\\\\nEpoch: {}&#039;<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">format<\/span><span class=\"token punctuation\">(<\/span>i<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    train_logs <span class=\"token operator\">&#061;<\/span> train_epoch<span class=\"token punctuation\">.<\/span>run<span class=\"token punctuation\">(<\/span>train_loader<span class=\"token punctuation\">)<\/span><br \/>\n    valid_logs <span class=\"token operator\">&#061;<\/span> valid_epoch<span class=\"token punctuation\">.<\/span>run<span class=\"token punctuation\">(<\/span>valid_loader<span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token keyword\">if<\/span> max_score <span class=\"token operator\">&lt;<\/span> valid_logs<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;iou_score&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        max_score <span class=\"token operator\">&#061;<\/span> valid_logs<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;iou_score&#039;<\/span><span class=\"token punctuation\">]<\/span><br \/>\n        torch<span class=\"token punctuation\">.<\/span>save<span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;.\/best_model.pth&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;Model saved!&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token keyword\">if<\/span> i <span class=\"token operator\">&#061;&#061;<\/span> <span class=\"token number\">25<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        optimizer<span class=\"token punctuation\">.<\/span>param_groups<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;lr&#039;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">\/&#061;<\/span> <span class=\"token number\">10<\/span><br \/>\n        <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;Decrease decoder learning rate to 1e-5!&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<h4>5. \u63a8\u7406\u4e0e\u7ed3\u679c\u53ef\u89c6\u5316<\/h4>\n<p>\u8bad\u7ec3\u5b8c\u6210\u540e&#xff0c;\u6211\u4eec\u53ef\u4ee5\u52a0\u8f7d\u6700\u4f73\u6a21\u578b\u5bf9\u65b0\u56fe\u7247\u8fdb\u884c\u9884\u6d4b&#xff0c;\u5e76\u5c06\u7ed3\u679c\u53ef\u89c6\u5316\u3002<\/p>\n<h5>\u63a8\u7406\u811a\u672c<\/h5>\n<p><span class=\"token keyword\">import<\/span> matplotlib<span class=\"token punctuation\">.<\/span>pyplot <span class=\"token keyword\">as<\/span> plt<\/p>\n<p>best_model <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span>load<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;.\/best_model.pth&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">visualize<\/span><span class=\"token punctuation\">(<\/span>image<span class=\"token punctuation\">,<\/span> mask<span class=\"token punctuation\">,<\/span> pred_mask<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    figure<span class=\"token punctuation\">,<\/span> ax <span class=\"token operator\">&#061;<\/span> plt<span class=\"token punctuation\">.<\/span>subplots<span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span> figsize<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">10<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">10<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    ax<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>imshow<span class=\"token punctuation\">(<\/span>image<span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>set_title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Image&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>imshow<span class=\"token punctuation\">(<\/span>mask<span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>set_title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Ground Truth&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">[<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>imshow<span class=\"token punctuation\">(<\/span>pred_mask<span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">[<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>set_title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Predicted Mask&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    plt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>test_dataset <span class=\"token operator\">&#061;<\/span> BuildingDamageDataset<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;.\/building_damage_detection\/images\/test\/&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;.\/building_damage_detection\/masks\/test\/&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">for<\/span> i <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">5<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>  <span class=\"token comment\"># \u53ef\u89c6\u5316\u524d5\u4e2a\u6d4b\u8bd5\u6837\u672c<\/span><br \/>\n    image<span class=\"token punctuation\">,<\/span> gt_mask <span class=\"token operator\">&#061;<\/span> test_dataset<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><br \/>\n    x_tensor <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span>from_numpy<span class=\"token punctuation\">(<\/span>image<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;cuda&#039;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>unsqueeze<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    pr_mask <span class=\"token operator\">&#061;<\/span> best_model<span class=\"token punctuation\">.<\/span>predict<span class=\"token punctuation\">(<\/span>x_tensor<span class=\"token punctuation\">)<\/span><br \/>\n    pr_mask <span class=\"token operator\">&#061;<\/span> pr_mask<span class=\"token punctuation\">.<\/span>squeeze<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>cpu<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>numpy<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    visualize<span class=\"token punctuation\">(<\/span>image<span class=\"token punctuation\">,<\/span> gt_mask<span class=\"token punctuation\">,<\/span> pr_mask<span class=\"token punctuation\">)<\/span><\/p>\n<p>\u4f7f\u7528Segmentation Models\u5e93\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u3002\u8bf7\u6839\u636e\u5b9e\u9645\u9700\u6c42\u8c03\u6574\u76f8\u5173\u53c2\u6570\u548c\u4ee3\u7801\u3002&#xff0c;\u5177\u4f53\u5b9e\u73b0\u7ec6\u8282\u9700\u8981\u6839\u636eSegmentation Models\u7684\u5177\u4f53\u7248\u672c\u548cAPI\u8fdb\u884c\u9002\u5f53\u8c03\u6574\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5982\u4f55\u4f7f\u7528Segmentation Models\u5e93\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406_\u5e76\u4f7f\u7528YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec3<br \/>\n\u4ee5\u4e0b\u6587\u5b57\u53ca\u4ee3\u7801\u4ec5\u4f9b\u53c2\u8003\u3002 \u6587\u7ae0\u76ee\u5f55\u5982\u4f55\u4f7f\u7528Segmentation Models\u5e93\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406_\u5e76\u4f7f\u7528YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec31. \u6570\u636e\u96c6\u51c6\u59072. \u5b89\u88c5\u4f9d\u8d56\u5e933. VOC\u8f6cPNG\u63a9\u78014. \u6a21\u578b\u8bad\u7ec3\u8bad\u7ec3\u811a\u672c5. \u63a8\u7406\u4e0e\u7ed3\u679c\u53ef\u89c6\u5316\u63a8\u7406\u811a\u672c\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6&#xff0c;vo<\/p>\n","protected":false},"author":2,"featured_media":110061,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[156,50,86,523],"topic":[],"class_list":["post-110065","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-yolo","tag-50","tag-86","tag-523"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272 YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272 \u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec3 - \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\/110065.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272 YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272 \u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec3 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u5982\u4f55\u4f7f\u7528Segmentation Models\u5e93\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406_\u5e76\u4f7f\u7528YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec3 \u4ee5\u4e0b\u6587\u5b57\u53ca\u4ee3\u7801\u4ec5\u4f9b\u53c2\u8003\u3002 \u6587\u7ae0\u76ee\u5f55\u5982\u4f55\u4f7f\u7528Segmentation Models\u5e93\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406_\u5e76\u4f7f\u7528YOLOv8\u5bf9\u5efa\u7b51\u7269\u635f\u4f24\u5206\u5272\u4e0e\u68c0\u6d4b\u6570\u636e\u96c6\u8fdb\u884c\u5904\u7406\u8bad\u7ec31. \u6570\u636e\u96c6\u51c6\u59072. \u5b89\u88c5\u4f9d\u8d56\u5e933. 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