{"id":13803,"date":"2024-01-03T04:50:14","date_gmt":"2024-01-03T01:20:14","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%aa%d9%82%d8%b3%db%8c%d9%85%d8%a8%d9%86%d8%af%db%8c-%d9%86%d9%85%d9%88%d9%86%d9%87-%d8%a8%d8%a7-yolov7-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86\/"},"modified":"2024-01-03T04:50:14","modified_gmt":"2024-01-03T01:20:14","slug":"%d8%aa%d9%82%d8%b3%db%8c%d9%85%d8%a8%d9%86%d8%af%db%8c-%d9%86%d9%85%d9%88%d9%86%d9%87-%d8%a8%d8%a7-yolov7-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%82%d8%b3%db%8c%d9%85%d8%a8%d9%86%d8%af%db%8c-%d9%86%d9%85%d9%88%d9%86%d9%87-%d8%a8%d8%a7-yolov7-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86\/","title":{"rendered":"\u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0627 YOLOv7 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%82%d8%b3%db%8c%d9%85%d8%a8%d9%86%d8%af%db%8c-%d9%86%d9%85%d9%88%d9%86%d9%87-%d8%a8%d8%a7-yolov7-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%82%d8%b3%db%8c%d9%85%d8%a8%d9%86%d8%af%db%8c-%d9%86%d9%85%d9%88%d9%86%d9%87-%d8%a8%d8%a7-yolov7-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86\/#yolo_%d9%88_%d8%aa%d9%82%d8%b3%db%8c%d9%85%e2%80%8c%d8%a8%d9%86%d8%af%db%8c_%d9%86%d9%85%d9%88%d9%86%d9%87\" >YOLO \u0648 \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%82%d8%b3%db%8c%d9%85%d8%a8%d9%86%d8%af%db%8c-%d9%86%d9%85%d9%88%d9%86%d9%87-%d8%a8%d8%a7-yolov7-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86\/#%d8%aa%d9%82%d8%b3%db%8c%d9%85%e2%80%8c%d8%a8%d9%86%d8%af%db%8c_%d9%86%d9%85%d9%88%d9%86%d9%87_%d8%a8%d8%a7_yolov7\" >\u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0627 YOLOv7<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%82%d8%b3%db%8c%d9%85%d8%a8%d9%86%d8%af%db%8c-%d9%86%d9%85%d9%88%d9%86%d9%87-%d8%a8%d8%a7-yolov7-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86\/#%d9%86%d8%b5%d8%a8_dependencies_%e2%80%93_yolov7_%d9%88_detectron2\" >\u0646\u0635\u0628 Dependencies &#8211; YOLOv7 \u0648 Detectron2<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%82%d8%b3%db%8c%d9%85%d8%a8%d9%86%d8%af%db%8c-%d9%86%d9%85%d9%88%d9%86%d9%87-%d8%a8%d8%a7-yolov7-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86\/#%d8%a7%d8%b3%d8%aa%d9%86%d8%aa%d8%a7%d8%ac_%d8%aa%d9%82%d8%b3%db%8c%d9%85%e2%80%8c%d8%a8%d9%86%d8%af%db%8c_%d9%86%d9%85%d9%88%d9%86%d9%87_%d8%a8%d8%a7_yolov7\" >\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0627 YOLOv7<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 6<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0645\u06cc\u062f\u0627\u0646 \u0628\u0632\u0631\u06af\u06cc \u062f\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631\u06cc \u0627\u0633\u062a \u0648 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645\u200c\u062a\u0631\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u062f\u0631 \u0637\u0628\u06cc\u0639\u062a \u0627\u0633\u062a.  \u0627\u0632 \u0622\u0646\u060c \u0628\u062e\u0634\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0634\u062f\u060c \u0648 \u0648\u0638\u06cc\u0641\u0647 \u062f\u0627\u0631\u062f \u0645\u062f\u0644\u200c\u0647\u0627 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0628\u0631\u0686\u0633\u0628 \u0648 \u062c\u0639\u0628\u0647 \u0645\u0631\u0632\u06cc \u06cc\u06a9 \u0634\u06cc \u0631\u0627 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0646\u0646\u062f\u060c \u0628\u0644\u06a9\u0647 \u00ab\u0645\u0646\u0637\u0642\u0647\u00bb \u0622\u0646 \u0631\u0627 \u0646\u06cc\u0632 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0646\u0646\u062f &#8211; \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0647\u0631 \u067e\u06cc\u06a9\u0633\u0644\u06cc \u06a9\u0647 \u0628\u0647 \u0622\u0646 \u0634\u06cc \u062a\u0639\u0644\u0642 \u062f\u0627\u0631\u062f.<\/p>\n<blockquote>\n<p>Semantic Segmentation \u062a\u0645\u0627\u0645 \u067e\u06cc\u06a9\u0633\u0644 \u0647\u0627\u06cc \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u0622\u0646\u0647\u0627 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u062f <strong>\u0645\u0639\u0646\u0627\u06cc\u06cc<\/strong> \u0628\u0631\u0686\u0633\u0628 (\u0645\u0627\u0634\u06cc\u0646\u060c \u067e\u06cc\u0627\u062f\u0647 \u0631\u0648\u060c \u0633\u0627\u062e\u062a\u0645\u0627\u0646).  \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u062f <strong>\u062a\u0645\u0627\u0645 \u067e\u06cc\u06a9\u0633\u0644 \u0647\u0627\u06cc \u0647\u0631 \u0634\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647<\/strong> \u0628\u0647 \u0635\u0648\u0631\u062a \u062c\u062f\u0627\u06af\u0627\u0646\u0647\u060c \u0648 <em>\u0645\u0627\u0634\u06cc\u0646 1<\/em> \u0645\u062a\u0645\u0627\u06cc\u0632 \u0627\u0633\u062a \u0627\u0632 <em>\u0645\u0627\u0634\u06cc\u0646 2<\/em>.<\/p>\n<\/blockquote>\n<p>\u0627\u0632 \u0646\u0638\u0631 \u0645\u0641\u0647\u0648\u0645\u06cc &#8211; \u0622\u0646\u0647\u0627 \u0645\u0634\u0627\u0628\u0647 \u0647\u0633\u062a\u0646\u062f\u060c \u0627\u0645\u0627 <em>\u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647\u060c \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0645\u0639\u0646\u0627\u06cc\u06cc \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0631\u0627 \u062a\u0631\u06a9\u06cc\u0628 \u0645\u06cc\u200c\u06a9\u0646\u062f<\/em>.  \u062e\u0648\u0634\u0628\u062e\u062a\u0627\u0646\u0647\u060c \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\u060c \u0628\u062e\u0634\u200c\u0628\u0646\u062f\u06cc \u0645\u0639\u0646\u0627\u06cc\u06cc \u0648 \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0633\u0637\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0628\u0627 \u06cc\u06a9 \u0628\u06a9\u200c\u0627\u0646\u062f \u0645\u0634\u062a\u0631\u06a9\u060c \u0628\u0627 \u0633\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0634\u0628\u06a9\u0647 \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f\u060c \u0632\u06cc\u0631\u0627 \u0648\u0638\u06cc\u0641\u0647 \u0622\u0646\u0647\u0627 \u0627\u0632 \u0646\u0638\u0631 \u0645\u0641\u0647\u0648\u0645\u06cc \u0645\u0634\u0627\u0628\u0647 \u0627\u0633\u062a\u060c \u0648 \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0646\u0645\u0627\u06cc\u0634\u200c\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0622\u0646 \u062f\u0627\u0646\u0634 \u0631\u0627 \u0628\u0647 \u0627\u0634\u062a\u0631\u0627\u06a9 \u0645\u06cc\u200c\u06af\u0630\u0627\u0631\u0646\u062f.<\/p>\n<p>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\u060c \u0628\u062e\u0634\u200c\u0628\u0646\u062f\u06cc \u0645\u0639\u0646\u0627\u06cc\u06cc\u060c \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0646\u0642\u0627\u0637 \u06a9\u0644\u06cc\u062f\u06cc \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0646\u06cc\u0633\u062a\u0646\u062f\u060c \u0639\u0645\u062f\u062a\u0627\u064b \u0628\u0647 \u0627\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u06a9\u0647 \u0628\u06cc\u0634\u062a\u0631 \u067e\u06cc\u0634\u0631\u0641\u062a\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0628\u0647\u200c\u062c\u0627\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627 \u0648 \u0686\u0627\u0631\u0686\u0648\u0628\u200c\u0647\u0627\u06cc \u0628\u0632\u0631\u06af\u060c \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u062a\u0648\u0633\u0637 \u0645\u062d\u0642\u0642\u0627\u0646\u060c \u0646\u06af\u0647\u062f\u0627\u0631\u06cc\u200c\u06a9\u0646\u0646\u062f\u06af\u0627\u0646 \u0648 \u062a\u0648\u0633\u0639\u0647\u200c\u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u0634\u0648\u062f.  \u0628\u0633\u062a\u0647\u200c\u0628\u0646\u062f\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a\u200c\u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0636\u0631\u0648\u0631\u06cc \u062f\u0631 \u0686\u0627\u0631\u0686\u0648\u0628\u06cc \u0645\u0627\u0646\u0646\u062f TensorFlow \u06cc\u0627 PyTorch \u0648 \u062d\u0641\u0638 \u062f\u0633\u062a\u0648\u0631\u0627\u0644\u0639\u0645\u0644\u200c\u0647\u0627\u06cc API \u06a9\u0647 \u062a\u0627\u06a9\u0646\u0648\u0646 \u062a\u0648\u0633\u0639\u0647 \u0631\u0627 \u0647\u062f\u0627\u06cc\u062a \u06a9\u0631\u062f\u0647\u200c\u0627\u0646\u062f\u060c \u062f\u0634\u0648\u0627\u0631 \u0627\u0633\u062a.<\/p>\n<p>\u062e\u0648\u0634\u0628\u062e\u062a\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u062a\u0648\u062f\u0647 \u0647\u0627 &#8211; Ultralytics \u06cc\u06a9 API \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0633\u0627\u062f\u0647\u060c \u0628\u0633\u06cc\u0627\u0631 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0648 \u0632\u06cc\u0628\u0627 \u062f\u0631 \u0627\u0637\u0631\u0627\u0641 YOLOv5 \u062e\u0648\u062f \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u062a\u0648\u0633\u0637 \u0633\u0627\u06cc\u0631 \u062a\u06cc\u0645 \u0647\u0627\u06cc \u062a\u062d\u0642\u06cc\u0642 \u0648 \u062a\u0648\u0633\u0639\u0647 \u0628\u0647 \u0646\u0633\u062e\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u062a\u0631 \u0645\u0627\u0646\u0646\u062f YOLOv7 \u06af\u0633\u062a\u0631\u0634 \u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a.<\/p>\n<blockquote>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u06a9\u0648\u062a\u0627\u0647\u060c \u0645\u0627 \u0646\u0645\u0648\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0631\u0627 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u200c\u062a\u0631\u06cc\u0646 YOLOv7 \u0627\u0646\u062c\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f.<\/p>\n<\/blockquote>\n<h2 id=\"yoloandinstancesegmentation\"><span class=\"ez-toc-section\" id=\"yolo_%d9%88_%d8%aa%d9%82%d8%b3%db%8c%d9%85%e2%80%8c%d8%a8%d9%86%d8%af%db%8c_%d9%86%d9%85%d9%88%d9%86%d9%87\"><\/span>YOLO \u0648 \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><em>\u06cc\u0648\u0644\u0648 (\u0634\u0645\u0627 \u0641\u0642\u0637 \u06cc\u06a9 \u0628\u0627\u0631 \u0646\u06af\u0627\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f)<\/em> \u06cc\u06a9 \u0645\u062a\u062f\u0648\u0644\u0648\u0698\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062e\u0627\u0646\u0648\u0627\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0627\u0633\u062a.  \u0627\u0632 \u0632\u0645\u0627\u0646 \u0622\u063a\u0627\u0632 \u0628\u0647 \u06a9\u0627\u0631 \u062f\u0631 \u0633\u0627\u0644 2015\u060c YOLOv1\u060c YOLOv2 (YOLO9000) \u0648 YOLOv3 \u062a\u0648\u0633\u0637 \u0647\u0645\u0627\u0646 \u0646\u0648\u06cc\u0633\u0646\u062f\u0647(\u0647\u0627) \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0634\u062f\u0647 \u0627\u0646\u062f &#8211; \u0648 \u062c\u0627\u0645\u0639\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a \u0647\u0627\u06cc \u0645\u0646\u0628\u0639 \u0628\u0627\u0632 \u062f\u0631 \u0633\u0627\u0644 \u0647\u0627\u06cc \u0627\u062f\u0627\u0645\u0647 \u062f\u0627\u0631 \u0627\u062f\u0627\u0645\u0647 \u062f\u0627\u062f.<\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener noreferrer\" href=\"https:\/\/github.com\/ultralytics\/yolov5\">Ultralytics&#8217; YOLOv5<\/a> \u06cc\u06a9 \u0645\u062e\u0632\u0646 \u0639\u0638\u06cc\u0645 \u0648 \u0627\u0648\u0644\u06cc\u0646 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062f\u0631 \u0633\u0637\u062d \u062a\u0648\u0644\u06cc\u062f YOLO \u062f\u0631 PyTorch \u0627\u0633\u062a \u06a9\u0647 \u06a9\u0627\u0631\u0628\u0631\u062f \u0639\u0645\u062f\u0647 \u0627\u06cc \u062f\u0631 \u0635\u0646\u0639\u062a \u062f\u0627\u0634\u062a\u0647 \u0627\u0633\u062a.  \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc PyTorch \u0622\u0646 \u0631\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u0647\u0631 \u0632\u0645\u0627\u0646 \u062f\u06cc\u06af\u0631\u06cc \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u060c \u06a9\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u062f\u0631 ++C \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u062f\u060c \u0627\u0645\u0627 \u062f\u0644\u06cc\u0644 \u0627\u0635\u0644\u06cc \u0645\u062d\u0628\u0648\u0628\u06cc\u062a \u0622\u0646 \u0628\u0647 \u062f\u0644\u06cc\u0644 API \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0648 \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0627\u0637\u0631\u0627\u0641 \u0622\u0646 \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u06a9\u0647 \u0628\u0647 \u0647\u0631 \u06a9\u0633\u06cc \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u0686\u0646\u062f \u062e\u0637 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u062f. \u06a9\u062f\u06cc \u06a9\u0647 \u0642\u0627\u062f\u0631 \u0628\u0647 \u0633\u0627\u062e\u062a \u0622\u0634\u06a9\u0627\u0631\u0633\u0627\u0632\u0647\u0627\u06cc \u0634\u06cc \u0627\u0633\u062a.<\/p>\n<p>YOLOv5 \u0686\u0646\u0627\u0646 \u0628\u0647 \u06cc\u06a9 \u0639\u0646\u0635\u0631 \u0627\u0635\u0644\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0627\u06a9\u062b\u0631 \u0645\u062e\u0627\u0632\u0646 \u06a9\u0647 \u0647\u062f\u0641\u0634\u0627\u0646 \u067e\u06cc\u0634\u0631\u0641\u062a \u0631\u0648\u0634 YOLO \u0627\u0633\u062a \u0627\u0632 \u0622\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u067e\u0627\u06cc\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f \u0648 API \u0645\u0634\u0627\u0628\u0647\u06cc \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u0646\u062f \u06a9\u0647 \u0627\u0632 Ultralytics \u0628\u0647 \u0627\u0631\u062b \u0631\u0633\u06cc\u062f\u0647 \u0627\u0633\u062a. <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/2105.04206\"><em>YOLOR (\u0634\u0645\u0627 \u0641\u0642\u0637 \u06cc\u06a9 \u0646\u0645\u0627\u06cc\u0634 \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u06cc\u062f)<\/em><\/a>  \u062f\u0642\u06cc\u0642\u0627\u064b \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f \u0648 YOLOv7 \u0633\u0627\u062e\u062a\u0647 \u0634\u062f \u0631\u0648\u06cc \u0628\u0627\u0644\u0627\u06cc YOLOR \u062a\u0648\u0633\u0637 \u0647\u0645\u0627\u0646 \u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646.<\/p>\n<p>YOLOv7 \u0627\u0648\u0644\u06cc\u0646 \u0645\u062f\u0644 YOLO \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u0633\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0639\u0631\u0636\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0627\u0645\u06a9\u0627\u0646 \u0646\u0642\u0627\u0637 \u06a9\u0644\u06cc\u062f\u06cc\u060c \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u06a9\u0647 \u0627\u0641\u0632\u0648\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0639\u0642\u0648\u0644\u06cc \u0628\u0648\u062f.  \u0627\u0645\u06cc\u062f\u0648\u0627\u0631\u06cc\u0645 \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647 \u0634\u0627\u0647\u062f \u062a\u0639\u062f\u0627\u062f \u0641\u0632\u0627\u06cc\u0646\u062f\u0647\u200c\u0627\u06cc \u0627\u0632 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 YOLO \u0628\u0627\u0634\u06cc\u0645 \u06a9\u0647 \u0642\u0627\u0628\u0644\u06cc\u062a\u200c\u0647\u0627\u06cc \u0645\u0634\u0627\u0628\u0647\u06cc \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.<\/p>\n<blockquote>\n<p>\u0627\u06cc\u0646 \u0628\u0627\u0639\u062b \u0645\u06cc\u200c\u0634\u0648\u062f \u06a9\u0647 \u0642\u0637\u0639\u0647\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0646\u0642\u0627\u0637 \u06a9\u0644\u06cc\u062f\u06cc \u0628\u0627 \u0645\u0639\u0645\u0627\u0631\u06cc \u0633\u0627\u062f\u0647\u200c\u062a\u0631 \u0627\u0632 \u0622\u0634\u06a9\u0627\u0631\u0633\u0627\u0632\u0647\u0627\u06cc \u062f\u0648 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u0627\u0632 \u0647\u0645\u06cc\u0634\u0647 \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f.<\/p>\n<\/blockquote>\n<p>\u062e\u0648\u062f \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u0645\u0639\u0645\u0627\u0631\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u062c\u0646\u0628\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u06cc\u062c\u0627\u062f \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0622\u0646 \u00abbag-of-freebies\u00bb \u0645\u06cc\u200c\u06af\u0648\u06cc\u0646\u062f \u06a9\u0647 \u062f\u0642\u062a \u0631\u0627 \u0628\u062f\u0648\u0646 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0647\u0632\u06cc\u0646\u0647 \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f.<\/p>\n<h2 id=\"instancesegmentationwithyolov7\"><span class=\"ez-toc-section\" id=\"%d8%aa%d9%82%d8%b3%db%8c%d9%85%e2%80%8c%d8%a8%d9%86%d8%af%db%8c_%d9%86%d9%85%d9%88%d9%86%d9%87_%d8%a8%d8%a7_yolov7\"><\/span>\u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0627 YOLOv7<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u0646\u0647\u200c\u0628\u0646\u062f\u06cc\u060c \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0648 \u062a\u062e\u0645\u06cc\u0646 \u0646\u0642\u0627\u0637 \u06a9\u0644\u06cc\u062f\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f Detectron2 \u0627\u0633\u062a \u06a9\u0647 \u062a\u0648\u0633\u0637 Meta AI \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0631\u0648\u0634\u200c\u0647\u0627 \u0648 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627\u06cc \u0631\u0627\u062d\u062a\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0645\u06a9 \u0628\u0647 \u062a\u062c\u0633\u0645 \u0632\u06cc\u0628\u0627\u06cc \u0646\u062a\u0627\u06cc\u062c \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0627\u0645\u0627 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u0633\u0627\u0633\u06cc \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635\u060c Mask R-CNN \u0627\u0633\u062a.  \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 YOLO \u062f\u0631 \u06a9\u0644 \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 R-CNN \u0628\u0647\u062a\u0631 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.  \u0645\u062e\u0632\u0646 YOLOv7 \u0628\u0627 Detectron2 \u0633\u0627\u0632\u06af\u0627\u0631 \u0627\u0633\u062a \u0648 \u0628\u0627 API \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u062a\u062c\u0633\u0645 \u0633\u0627\u0632\u06af\u0627\u0631 \u0627\u0633\u062a\u060c \u0648 \u0627\u062c\u0631\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0633\u0631\u06cc\u0639 \u0648 \u062f\u0642\u06cc\u0642 \u0646\u0645\u0648\u0646\u0647 \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc API \u062c\u062f\u06cc\u062f \u0631\u0627 \u0622\u0633\u0627\u0646\u200c\u062a\u0631 \u0645\u06cc\u200c\u06a9\u0646\u062f.  \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u0648\u0627\u0642\u0639\u060c swap \u0633\u062a\u0648\u0646 \u0641\u0642\u0631\u0627\u062a Mask R-CNN \u0631\u0627 \u062e\u0627\u0631\u062c \u06a9\u0646\u06cc\u062f \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0627 YOLOv7 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u06a9\u0646\u06cc\u062f.<\/p>\n<h3 id=\"installingdependenciesyolov7anddetectron2\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%b5%d8%a8_dependencies_%e2%80%93_yolov7_%d9%88_detectron2\"><\/span>\u0646\u0635\u0628 Dependencies &#8211; YOLOv7 \u0648 Detectron2<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0628\u062a\u062f\u0627 \u067e\u06cc\u0634 \u0628\u0631\u0648\u06cc\u0645 \u0648 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0645\u062e\u0632\u0646 GitHub \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u0631\u0648\u0698\u0647 YOLOv7 \u06a9\u0644\u0648\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u062e\u0631\u06cc\u0646 \u0646\u0633\u062e\u0647 Detectron2 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0646\u0635\u0628 \u0645\u06cc \u06a9\u0646\u06cc\u0645. <code>pip<\/code>:<\/p>\n<pre><code class=\"hljs\">! git clone -b mask https:\/\/github.com\/WongKinYiu\/yolov7.git\n! pip install pyyaml==<span class=\"hljs-number\">5.1<\/span>\n! pip install <span class=\"hljs-string\">'git+https:\/\/github.com\/facebookresearch\/detectron2.git'<\/span>\n<\/code><\/pre>\n<p>Detectron2 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f <code>pyyaml<\/code> \u0647\u0645\u0686\u0646\u06cc\u0646.  \u0628\u0631\u0627\u06cc \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0627\u0632 \u0633\u0627\u0632\u06af\u0627\u0631\u06cc\u060c \u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0631 \u062d\u0627\u0644 \u0627\u062c\u0631\u0627 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u062f <code>torch<\/code> \u0646\u0633\u062e\u0647:<\/p>\n<pre><code class=\"hljs\">! pip install torch==<span class=\"hljs-number\">1.10<\/span><span class=\"hljs-number\">.1<\/span>+cu111 torchvision==<span class=\"hljs-number\">0.11<\/span><span class=\"hljs-number\">.2<\/span>+cu111 torchaudio==<span class=\"hljs-number\">0.10<\/span><span class=\"hljs-number\">.1<\/span> -f https:\/\/download.pytorch.org\/whl\/torch_stable.html\n<\/code><\/pre>\n<p>\u0634\u0627\u062e\u0647 \u0627\u0635\u0644\u06cc YOLOv7 \u0627\u0632 \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0646\u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0632\u06cc\u0631\u0627 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u062f\u0627\u0631\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 \u0634\u062e\u0635 \u062b\u0627\u0644\u062b  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 <code>mask<\/code> \u0634\u0639\u0628\u0647 \u062f\u0642\u06cc\u0642\u0627\u064b \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u062f\u0631 \u062d\u0627\u0644 \u0646\u0635\u0628 \u0622\u0646 \u0647\u0633\u062a\u06cc\u0645 <code>mask<\/code> \u0634\u0639\u0628\u0647 \u067e\u0631\u0648\u0698\u0647  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0648\u0632\u0646\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647\u200c\u0634\u062f\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u062f\u0633\u062a\u06cc \u06cc\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">%cd yolov7\n! curl -L https:\/\/github.com\/WongKinYiu\/yolov7\/releases\/download\/v0<span class=\"hljs-number\">.1<\/span>\/yolov7-mask.pt -o yolov7-mask.pt\n<\/code><\/pre>\n<p>\u0645\u0627 \u0627\u0628\u062a\u062f\u0627 \u0628\u0647 <code>yolov7<\/code> \u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc (\u062f\u0627\u06cc\u0631\u06a9\u062a\u0648\u0631\u06cc \u062f\u0627\u0646\u0644\u0648\u062f \u0634\u062f\u0647 \u062d\u0627\u0648\u06cc \u067e\u0631\u0648\u0698\u0647) \u0648 \u0633\u067e\u0633 \u0641\u0627\u06cc\u0644 \u0648\u0632\u0646 \u0631\u0627 \u062f\u0631 \u0622\u0646\u062c\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f.  \u0628\u0627 \u0622\u0646 &#8211; \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627\u06cc \u0645\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a!  \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f import \u0628\u0633\u062a\u0647 \u0647\u0627 \u0648 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> torch\n<span class=\"hljs-keyword\">import<\/span> cv2\n<span class=\"hljs-keyword\">import<\/span> yaml\n<span class=\"hljs-keyword\">from<\/span> torchvision <span class=\"hljs-keyword\">import<\/span> transforms\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\n<span class=\"hljs-keyword\">from<\/span> utils.datasets <span class=\"hljs-keyword\">import<\/span> letterbox\n<span class=\"hljs-keyword\">from<\/span> utils.general <span class=\"hljs-keyword\">import<\/span> non_max_suppression_mask_conf\n\n<span class=\"hljs-keyword\">from<\/span> detectron2.modeling.poolers <span class=\"hljs-keyword\">import<\/span> ROIPooler\n<span class=\"hljs-keyword\">from<\/span> detectron2.structures <span class=\"hljs-keyword\">import<\/span> Boxes\n<span class=\"hljs-keyword\">from<\/span> detectron2.utils.memory <span class=\"hljs-keyword\">import<\/span> retry_if_cuda_oom\n<span class=\"hljs-keyword\">from<\/span> detectron2.layers <span class=\"hljs-keyword\">import<\/span> paste_masks_in_image\n<\/code><\/pre>\n<h3 id=\"instancesegmentationinferencewithyolov7\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b3%d8%aa%d9%86%d8%aa%d8%a7%d8%ac_%d8%aa%d9%82%d8%b3%db%8c%d9%85%e2%80%8c%d8%a8%d9%86%d8%af%db%8c_%d9%86%d9%85%d9%88%d9%86%d9%87_%d8%a8%d8%a7_yolov7\"><\/span>\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0627 YOLOv7<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0628\u062a\u062f\u0627 \u0628\u0647 \u062a\u0635\u0648\u06cc\u0631\u06cc \u06a9\u0647 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">street_img = cv2.imread(<span class=\"hljs-string\">'..\/street.png'<\/span>)\nstreet_img = cv2.cvtColor(street_img, cv2.COLOR_BGR2RGB)\n\nfig = plt.figure(figsize=(<span class=\"hljs-number\">12<\/span>, <span class=\"hljs-number\">6<\/span>))\nplt.imshow(street_img)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/instance-segmentation-with-yolov7-in-python-1.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u06cc\u0646 \u06cc\u06a9 \u0627\u0633\u06a9\u0631\u06cc\u0646 \u0634\u0627\u062a \u0627\u0632 \u0646\u0645\u0627\u06cc \u0632\u0646\u062f\u0647 Google Maps \u0627\u0633\u062a!  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u0627\u0632 \u0642\u0628\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0646\u0634\u062f\u0647 \u0627\u0633\u062a \u0631\u0648\u06cc \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627\u060c \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0641\u0642\u0637 \u0628\u0631\u0627\u06cc \u06a9\u0644\u0627\u0633\u200c\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0645\u0639\u0646\u0627\u06cc\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f <em>&#8220;\u0641\u0631\u062f&#8221;<\/em>\u060c <em>&#8216;\u0645\u0627\u0634\u06cc\u0646&#8217;<\/em>\u0648 \u063a\u06cc\u0631\u0647 \u0628\u062f\u0648\u0646 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc &#8220;\u0631\u06cc\u0632\u062f\u0627\u0646\u0647&#8221; \u0645\u0627\u0646\u0646\u062f <em>&#8216;\u0686\u0631\u0627\u063a \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u0648 \u0631\u0627\u0646\u0646\u062f\u06af\u06cc&#8217;<\/em>.<\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644 \u0648 \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0622\u0646 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645.  \u0627\u06cc\u0646 <code>hyp.scratch.mask.yaml<\/code> \u0641\u0627\u06cc\u0644 \u062d\u0627\u0648\u06cc \u062a\u0646\u0638\u06cc\u0645\u0627\u062a\u06cc \u0628\u0631\u0627\u06cc \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0627\u0628\u062a\u062f\u0627 \u0622\u0646 \u0631\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u062f\u0633\u062a\u06af\u0627\u0647 \u0641\u0639\u0627\u0644 (GPU \u06cc\u0627 CPU) \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0645\u062f\u0644 \u0631\u0627 \u0627\u0632 \u0641\u0627\u06cc\u0644 \u0648\u0632\u0646\u06cc \u06a9\u0647 \u0628\u0647 \u062a\u0627\u0632\u06af\u06cc \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">with<\/span> <span class=\"hljs-built_in\">open<\/span>(<span class=\"hljs-string\">'data\/hyp.scratch.mask.yaml'<\/span>) <span class=\"hljs-keyword\">as<\/span> f:\n    hyp = yaml.load(f, Loader=yaml.FullLoader)\n\ndevice = torch.device(<span class=\"hljs-string\">\"cuda:0\"<\/span> <span class=\"hljs-keyword\">if<\/span> torch.cuda.is_available() <span class=\"hljs-keyword\">else<\/span> <span class=\"hljs-string\">\"cpu\"<\/span>)\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">load_model<\/span>():<\/span>\n    model = torch.load(<span class=\"hljs-string\">'yolov7-mask.pt'<\/span>, map_location=device)(<span class=\"hljs-string\">'model'<\/span>)\n    \n    model.<span class=\"hljs-built_in\">eval<\/span>()\n\n    <span class=\"hljs-keyword\">if<\/span> torch.cuda.is_available():\n        \n        \n        model.half().to(device)\n    <span class=\"hljs-keyword\">return<\/span> model\n\nmodel = load_model()\n<\/code><\/pre>\n<p>\u0628\u0639\u062f\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0631\u0648\u0634 \u06a9\u0645\u06a9\u06cc \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645!  \u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0647 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u062e\u0648\u0627\u0646\u062f\u060c \u0622\u0646 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0634\u06a9\u0644 \u062f\u0647\u062f \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u0648\u0631\u0648\u062f\u06cc \u0645\u0648\u0631\u062f \u0627\u0646\u062a\u0638\u0627\u0631 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u062f\u060c \u062a\u0628\u062f\u06cc\u0644 \u0647\u0627 \u0631\u0627 \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u062f\u060c \u0622\u0646 \u0631\u0627 \u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u062f \u0648 \u0628\u0647 \u0645\u062f\u0644 \u0645\u0646\u062a\u0642\u0644 \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">run_inference<\/span>(<span class=\"hljs-params\">url<\/span>):<\/span>\n    image = cv2.imread(url) \n    \n    image = letterbox(image, <span class=\"hljs-number\">640<\/span>, stride=<span class=\"hljs-number\">64<\/span>, auto=<span class=\"hljs-literal\">True<\/span>)(<span class=\"hljs-number\">0<\/span>) \n    \n    image = transforms.ToTensor()(image) \n    \n    image = image.half().to(device)\n    \n    image = image.unsqueeze(<span class=\"hljs-number\">0<\/span>) \n    output = model(image)\n    <span class=\"hljs-keyword\">return<\/span> output, image\n\noutput, image = run_inference(<span class=\"hljs-string\">'..\/street.png'<\/span>)\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u062e\u0631\u0648\u062c\u06cc \u0645\u062f\u0644 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062e\u0648\u062f \u062a\u0635\u0648\u06cc\u0631 (\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647\u060c \u067e\u0631\u0634\u062f\u0647 \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u062f\u0647) \u0631\u0627 \u0628\u0631\u0645\u06cc\u200c\u06af\u0631\u062f\u0627\u0646\u062f.  \u062e\u0631\u0648\u062c\u06cc \u06cc\u06a9 \u062f\u06cc\u06a9\u0634\u0646\u0631\u06cc \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">output.keys()\n\n<\/code><\/pre>\n<p>\u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u062e\u0627\u0645 \u0647\u0633\u062a\u0646\u062f &#8211; \u0628\u0627\u06cc\u062f \u0627\u0632 \u0622\u0646\u0647\u0627 \u0639\u0628\u0648\u0631 \u06a9\u0646\u06cc\u0645 <code>non_max_supression()<\/code>\u060c \u0648 \u0627\u0632 ROIPooler \u0627\u0632 Detectron2 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> <em>&#8220;\u062a\u062c\u0645\u06cc\u0639 ROI&#8221;<\/em> \u06a9\u0648\u062a\u0627\u0647 \u0627\u0633\u062a \u0628\u0631\u0627\u06cc <em>&#8220;\u0645\u0646\u0637\u0642\u0647 \u0645\u0648\u0631\u062f \u0639\u0644\u0627\u0642\u0647 \u0627\u062f\u063a\u0627\u0645&#8221;<\/em> \u0648 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0648\u0686\u06a9 \u0628\u0631\u0627\u06cc \u0648\u0638\u0627\u06cc\u0641 \u062a\u0634\u062e\u06cc\u0635 \u0648 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0627\u0634\u06cc\u0627\u060c \u062f\u0631 \u0645\u0646\u0627\u0637\u0642\u06cc \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0627\u0631\u0627\u06cc \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627\u0634\u0646\u062f\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<\/p><\/div><\/div><\/div>\n<pre><code class=\"hljs\">inf_out = output(<span class=\"hljs-string\">'test'<\/span>)\nattn = output(<span class=\"hljs-string\">'attn'<\/span>)\nbases = output(<span class=\"hljs-string\">'bases'<\/span>)\nsem_output = output(<span class=\"hljs-string\">'sem'<\/span>)\n\nbases = torch.cat((bases, sem_output), dim=<span class=\"hljs-number\">1<\/span>)\nnb, _, height, width = image.shape\nnames = model.names\npooler_scale = model.pooler_scale\n\npooler = ROIPooler(output_size=hyp(<span class=\"hljs-string\">'mask_resolution'<\/span>), \n                   scales=(pooler_scale,), \n                   sampling_ratio=<span class=\"hljs-number\">1<\/span>, \n                   pooler_type=<span class=\"hljs-string\">'ROIAlignV2'<\/span>, \n                   canonical_level=<span class=\"hljs-number\">2<\/span>)\n                   \n\noutput, output_mask, _, _, _ = non_max_suppression_mask_conf(inf_out, \n                                                             attn, \n                                                             bases, \n                                                             pooler, \n                                                             hyp, \n                                                             conf_thres=<span class=\"hljs-number\">0.25<\/span>, \n                                                             iou_thres=<span class=\"hljs-number\">0.65<\/span>, \n                                                             merge=<span class=\"hljs-literal\">False<\/span>, \n                                                             mask_iou=<span class=\"hljs-literal\">None<\/span>)                 \n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 &#8211; \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0627\u0634\u06cc\u0627\u0621 \u0648 \u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627\u06cc \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 <code>output<\/code> \u0648 \u0645\u0627\u0633\u06a9 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0622\u0646 \u0627\u0634\u06cc\u0627\u0621 \u0631\u0627 \u062f\u0631 \u0622\u0646 \u0628\u067e\u0648\u0634\u0627\u0646\u062f <code>output_mask<\/code>:<\/p>\n<pre><code class=\"hljs\">output(<span class=\"hljs-number\">0<\/span>).shape \noutput_mask(<span class=\"hljs-number\">0<\/span>).shape \n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0645\u062f\u0644 30 \u0646\u0645\u0648\u0646\u0647 \u0631\u0627 \u062f\u0631 \u062a\u0635\u0648\u06cc\u0631 \u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f \u06a9\u0647 \u0647\u0631 \u06a9\u062f\u0627\u0645 \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 \u0628\u0631\u0686\u0633\u0628 \u0645\u0631\u062a\u0628\u0637 \u0628\u0627 \u0622\u0646\u0647\u0627 \u0628\u0648\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0627 \u06a9\u0645\u06a9 Detectron2 \u062c\u0639\u0628\u0647 \u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 <code>Boxes<\/code> \u06a9\u0644\u0627\u0633 \u0648 \u0645\u062a\u0631\u0627\u06a9\u0645 \u06a9\u0631\u062f\u0646 <code>pred_masks<\/code> (\u06a9\u0647 \u062d\u0627\u0648\u06cc \u06cc\u06a9 \u0645\u0627\u0633\u06a9 \u0628\u0648\u0644\u06cc \u0647\u0633\u062a\u0646\u062f) \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u067e\u06cc\u06a9\u0633\u0644 \u0647\u0627 \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0631\u0648\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">pred, pred_masks = output(<span class=\"hljs-number\">0<\/span>), output_mask(<span class=\"hljs-number\">0<\/span>)\nbase = bases(<span class=\"hljs-number\">0<\/span>)\nbboxes = Boxes(pred(:, :<span class=\"hljs-number\">4<\/span>))\n\noriginal_pred_masks = pred_masks.view(-<span class=\"hljs-number\">1<\/span>, \n                                      hyp(<span class=\"hljs-string\">'mask_resolution'<\/span>), \n                                      hyp(<span class=\"hljs-string\">'mask_resolution'<\/span>))\n\npred_masks = retry_if_cuda_oom(paste_masks_in_image)(original_pred_masks, \n                                                     bboxes, \n                                                     (height, width), \n                                                     threshold=<span class=\"hljs-number\">0.5<\/span>)\n                                                     \n\npred_masks_np = pred_masks.detach().cpu().numpy()\npred_cls = pred(:, <span class=\"hljs-number\">5<\/span>).detach().cpu().numpy()\npred_conf = pred(:, <span class=\"hljs-number\">4<\/span>).detach().cpu().numpy()\nnimg = image(<span class=\"hljs-number\">0<\/span>).permute(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">0<\/span>) * <span class=\"hljs-number\">255<\/span>\nnimg = nimg.cpu().numpy().astype(np.uint8)\nnimg = cv2.cvtColor(nimg, cv2.COLOR_RGB2BGR)\nnbboxes = bboxes.tensor.detach().cpu().numpy().astype(np.<span class=\"hljs-built_in\">int<\/span>)\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 <code>original_pred_masks<\/code> \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u0645\u0627\u0633\u06a9 \u0647\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">original_pred_masks.shape \n<\/code><\/pre>\n<p>\u0648 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0646\u062a\u0627\u06cc\u062c \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">plot_results<\/span>(<span class=\"hljs-params\">original_image, pred_img, pred_masks_np, nbboxes, pred_cls, pred_conf, plot_labels=<span class=\"hljs-literal\">True<\/span><\/span>):<\/span>\n  <span class=\"hljs-keyword\">for<\/span> one_mask, bbox, cls, conf <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>(pred_masks_np, nbboxes, pred_cls, pred_conf):\n    <span class=\"hljs-keyword\">if<\/span> conf &lt; <span class=\"hljs-number\">0.25<\/span>:\n        <span class=\"hljs-keyword\">continue<\/span>\n    color = (np.random.randint(<span class=\"hljs-number\">255<\/span>), np.random.randint(<span class=\"hljs-number\">255<\/span>), np.random.randint(<span class=\"hljs-number\">255<\/span>))\n\n    pred_img = pred_img.copy()\n                             \n    \n    pred_img(one_mask) = pred_img(one_mask) * <span class=\"hljs-number\">0.5<\/span> + np.array(color, dtype=np.uint8) * <span class=\"hljs-number\">0.5<\/span>\n    \n    pred_img = cv2.rectangle(pred_img, (bbox(<span class=\"hljs-number\">0<\/span>), bbox(<span class=\"hljs-number\">1<\/span>)), (bbox(<span class=\"hljs-number\">2<\/span>), bbox(<span class=\"hljs-number\">3<\/span>)), color, <span class=\"hljs-number\">2<\/span>)\n\n    <span class=\"hljs-keyword\">if<\/span> plot_labels:\n      label = <span class=\"hljs-string\">'%s %.3f'<\/span> % (names(<span class=\"hljs-built_in\">int<\/span>(cls)), conf)\n      t_size = cv2.getTextSize(label, <span class=\"hljs-number\">0<\/span>, fontScale=<span class=\"hljs-number\">0.1<\/span>, thickness=<span class=\"hljs-number\">1<\/span>)(<span class=\"hljs-number\">0<\/span>)\n      c2 = bbox(<span class=\"hljs-number\">0<\/span>) + t_size(<span class=\"hljs-number\">0<\/span>), bbox(<span class=\"hljs-number\">1<\/span>) - t_size(<span class=\"hljs-number\">1<\/span>) - <span class=\"hljs-number\">3<\/span>\n      pred_img = cv2.rectangle(pred_img, (bbox(<span class=\"hljs-number\">0<\/span>), bbox(<span class=\"hljs-number\">1<\/span>)), c2, color, -<span class=\"hljs-number\">1<\/span>, cv2.LINE_AA)\n      pred_img = cv2.putText(pred_img, label, (bbox(<span class=\"hljs-number\">0<\/span>), bbox(<span class=\"hljs-number\">1<\/span>) - <span class=\"hljs-number\">2<\/span>), <span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">0.5<\/span>, (<span class=\"hljs-number\">255<\/span>, <span class=\"hljs-number\">255<\/span>, <span class=\"hljs-number\">255<\/span>), thickness=<span class=\"hljs-number\">1<\/span>, lineType=cv2.LINE_AA)  \n\n  fig, ax = plt.subplots(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>, figsize=(pred_img.shape(<span class=\"hljs-number\">0<\/span>)\/<span class=\"hljs-number\">10<\/span>, pred_img.shape(<span class=\"hljs-number\">1<\/span>)\/<span class=\"hljs-number\">10<\/span>), dpi=<span class=\"hljs-number\">150<\/span>)\n\n  original_image = np.moveaxis(image.cpu().numpy().squeeze(), <span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">2<\/span>).astype(<span class=\"hljs-string\">'float32'<\/span>)\n  original_image = cv2.cvtColor(original_image, cv2.COLOR_RGB2BGR)\n  \n  ax(<span class=\"hljs-number\">0<\/span>).imshow(original_image)\n  ax(<span class=\"hljs-number\">0<\/span>).axis(<span class=\"hljs-string\">\"off\"<\/span>)\n  ax(<span class=\"hljs-number\">1<\/span>).imshow(pred_img)\n  ax(<span class=\"hljs-number\">1<\/span>).axis(<span class=\"hljs-string\">\"off\"<\/span>)\n<\/code><\/pre>\n<p>\u062a\u0635\u0648\u06cc\u0631 \u06a9\u067e\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a\u06cc \u0631\u0627 \u062f\u0631 \u0645\u062d\u0644 \u0628\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0639\u0645\u0627\u0644 \u0646\u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0627\u0645\u0627 \u0631\u0648\u06cc \u06cc\u06a9 \u06a9\u067e\u06cc.  \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u06cc\u06a9\u0633\u0644\u06cc \u06a9\u0647 \u0628\u06cc\u0646 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc \u0648 \u0645\u0627\u0633\u06a9 \u0647\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0631\u062f\u060c \u0631\u0646\u06af\u06cc \u0628\u0627 \u06a9\u062f\u0648\u0631\u062a \u0627\u0639\u0645\u0627\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645. <code>0.5<\/code> \u0648 \u0628\u0631\u0627\u06cc \u0647\u0631 \u0634\u06cc\u0621 \u06cc\u06a9 \u0639\u062f\u062f \u0631\u0627 \u0631\u0633\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>cv2.Rectangle()<\/code> \u06a9\u0647 \u0622\u0646 \u0631\u0627 \u0627\u0632 \u062c\u0639\u0628\u0647 \u0647\u0627\u06cc \u0645\u0631\u0632\u06cc \u062f\u0631 \u0628\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f (<code>bbox<\/code>).  \u0627\u06af\u0631 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc\u06cc \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u062f\u060c \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0647\u0645\u067e\u0648\u0634\u0627\u0646\u06cc \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0628\u0631\u0627\u06cc \u0622\u0646\u0647\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f\u060c \u06cc\u06a9 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <code>plot_labels<\/code> \u067e\u0631\u0686\u0645 \u062f\u0631 <code>plot_results()<\/code> \u0627\u0645\u0636\u0627\u06cc \u0631\u0648\u0634  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0633\u0639\u06cc \u06a9\u0646\u06cc\u0645 \u062a\u0635\u0648\u06cc\u0631\u06cc \u0631\u0627 \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u06a9\u0627\u0631 \u0628\u0627 \u0622\u0646 \u0631\u0627 \u0634\u0631\u0648\u0639 \u06a9\u0631\u062f\u0647 \u0628\u0648\u062f\u06cc\u0645 \u0628\u0627 \u0648 \u0628\u062f\u0648\u0646 \u0628\u0631\u0686\u0633\u0628 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">%matplotlib inline\nplot_results(image, nimg, pred_masks_np, nbboxes, pred_cls, pred_conf, plot_labels=<span class=\"hljs-literal\">False<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/instance-segmentation-with-yolov7-in-python-2.png\" alt=\"\" title=\"\"><\/p>\n<pre><code class=\"hljs\">%matplotlib inline\nplot_results(image, nimg, pred_masks_np, nbboxes, pred_cls, pred_conf, plot_labels=<span class=\"hljs-literal\">True<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/instance-segmentation-with-yolov7-in-python-3.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0645\u0627 \u0647\u0631 \u062f\u0648 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 &#8211; \u062a\u0635\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u0648 \u0642\u0637\u0639\u0647\u200c\u0628\u0646\u062f\u06cc \u0634\u062f\u0647 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0637\u0631\u062d.  \u0628\u0631\u0627\u06cc \u0648\u0636\u0648\u062d \u0628\u0627\u0644\u0627\u062a\u0631\u060c \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f <code>dpi<\/code> (\u0646\u0642\u0637\u0647 \u062f\u0631 \u0627\u06cc\u0646\u0686) \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u062f\u0631 <code>subplots()<\/code> \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f\u060c \u0648 \u0641\u0642\u0637 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0627 \u0646\u0642\u0634\u0647\/\u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0634\u06a9\u0644 \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0627\u0645\u0644 \u0627\u0634\u063a\u0627\u0644 \u06a9\u0646\u062f.<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-03 04:50:03<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;13803&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u062a\u0642\u0633\u06cc\u0645\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0627 YOLOv7 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 6<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0645\u06cc\u062f\u0627\u0646 \u0628\u0632\u0631\u06af\u06cc \u062f\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631\u06cc \u0627\u0633\u062a \u0648 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645\u200c\u062a\u0631\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u062f\u0631 \u0637\u0628\u06cc\u0639\u062a \u0627\u0633\u062a. \u0627\u0632 \u0622\u0646\u060c \u0628\u062e\u0634\u200c\u0628\u0646\u062f\u06cc \u0646\u0645\u0648\u0646\u0647 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0634\u062f\u060c \u0648 \u0648\u0638\u06cc\u0641\u0647 \u062f\u0627\u0631\u062f \u0645\u062f\u0644\u200c\u0647\u0627 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0628\u0631\u0686\u0633\u0628 \u0648 \u062c\u0639\u0628\u0647 \u0645\u0631\u0632\u06cc \u06cc\u06a9 \u0634\u06cc \u0631\u0627 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0646\u0646\u062f\u060c \u0628\u0644\u06a9\u0647 \u00ab\u0645\u0646\u0637\u0642\u0647\u00bb \u0622\u0646 \u0631\u0627 \u0646\u06cc\u0632 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0646\u0646\u062f &#8211; \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0647\u0631 \u067e\u06cc\u06a9\u0633\u0644\u06cc \u06a9\u0647 \u0628\u0647 \u0622\u0646 \u0634\u06cc [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":13804,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620,1686],"tags":[],"class_list":["post-13803","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming","category-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/13803","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=13803"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/13803\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/13804"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=13803"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=13803"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=13803"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}