{"id":102,"date":"2026-07-16T23:50:17","date_gmt":"2026-07-16T20:20:17","guid":{"rendered":"https:\/\/tarahanenovin.ir\/blog\/?p=102"},"modified":"2026-07-16T23:57:44","modified_gmt":"2026-07-16T20:27:44","slug":"%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b3%d8%a7%d8%ae%d8%aa-%d8%a8%d8%b1%d9%86%d8%a7%d9%85%d9%87-%d8%aa%d8%b4%d8%ae%db%8c%d8%b5-%d8%b4%db%8c-%d8%a8%d8%a7-yolov8-%d8%a7%d8%b2-%d8%b5%d9%81%d8%b1-%d8%aa","status":"publish","type":"post","link":"https:\/\/tarahanenovin.ir\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b3%d8%a7%d8%ae%d8%aa-%d8%a8%d8%b1%d9%86%d8%a7%d9%85%d9%87-%d8%aa%d8%b4%d8%ae%db%8c%d8%b5-%d8%b4%db%8c-%d8%a8%d8%a7-yolov8-%d8%a7%d8%b2-%d8%b5%d9%81%d8%b1-%d8%aa\/","title":{"rendered":"\u0622\u0645\u0648\u0632\u0634 \u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 YOLOv8 \u0627\u0632 \u0635\u0641\u0631 \u062a\u0627 \u0635\u062f \u0648 Train \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc"},"content":{"rendered":"<p dir=\"rtl\" lang=\"fa\">\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0647\u0645 \u062a\u0631\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u062d\u0648\u0632\u0647 \u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u0646\u0638\u0627\u0631\u062a \u062a\u0635\u0648\u06cc\u0631\u06cc\u060c \u06a9\u0646\u062a\u0631\u0644 \u06a9\u06cc\u0641\u06cc\u062a \u0645\u062d\u0635\u0648\u0644\u0627\u062a\u060c \u0634\u0645\u0627\u0631\u0634 \u06a9\u0627\u0644\u0627\u060c \u0645\u062f\u06cc\u0631\u06cc\u062a \u062a\u0631\u0627\u0641\u06cc\u06a9\u060c \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0648 \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u0647\u0627\u06cc \u0645\u0648\u0628\u0627\u06cc\u0644 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\u062f\u0647\u06cc\u0645.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0686\u06cc\u0633\u062a \u0648 \u0686\u0647 \u062a\u0641\u0627\u0648\u062a\u06cc \u0628\u0627 \u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u062f\u0627\u0631\u062f\u061f<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631\u060c \u0645\u062f\u0644 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0647 \u06a9\u062f\u0627\u0645 \u06a9\u0644\u0627\u0633 \u062a\u0639\u0644\u0642 \u062f\u0627\u0631\u062f. \u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644\u060c \u0645\u062f\u0644 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0634\u0627\u0645\u0644 \u06cc\u06a9 \u062e\u0648\u062f\u0631\u0648 \u0627\u0633\u062a. \u0627\u0645\u0627 \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u060c \u0645\u062f\u0644 \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0646\u0648\u0639 \u0634\u06cc\u060c \u0645\u062d\u0644 \u0642\u0631\u0627\u0631\u06af\u06cc\u0631\u06cc \u0622\u0646 \u0631\u0627 \u0646\u06cc\u0632 \u0628\u0627 \u06cc\u06a9 \u06a9\u0627\u062f\u0631 \u0645\u062d\u062f\u0648\u062f \u06a9\u0646\u0646\u062f\u0647 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u062e\u0631\u0648\u062c\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0645\u0639\u0645\u0648\u0644\u0627 \u0634\u0627\u0645\u0644 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>\u0646\u0627\u0645 \u06cc\u0627 \u0634\u0646\u0627\u0633\u0647 \u06a9\u0644\u0627\u0633<\/li>\n<li>\u0645\u062e\u062a\u0635\u0627\u062a \u06a9\u0627\u062f\u0631 \u0645\u062d\u062f\u0648\u062f \u06a9\u0646\u0646\u062f\u0647<\/li>\n<li>\u0645\u06cc\u0632\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0645\u062f\u0644<\/li>\n<li>\u062a\u0639\u062f\u0627\u062f \u0627\u0634\u06cc\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647<\/li>\n<li>\u0645\u0648\u0642\u0639\u06cc\u062a \u0647\u0631 \u0634\u06cc \u062f\u0631 \u062a\u0635\u0648\u06cc\u0631<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644\u060c \u0627\u06af\u0631 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0634\u0627\u0645\u0644 \u062f\u0648 \u062e\u0648\u062f\u0631\u0648\u060c \u06cc\u06a9 \u0645\u0648\u062a\u0648\u0631\u0633\u06cc\u06a9\u0644\u062a \u0648 \u0633\u0647 \u0646\u0641\u0631 \u0628\u0627\u0634\u062f\u060c \u0645\u062f\u0644 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627\u06cc\u062f \u0647\u0631 \u06a9\u062f\u0627\u0645 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u062f \u0648 \u0628\u0631\u0627\u06cc \u0622\u0646 \u0647\u0627 \u06a9\u0627\u062f\u0631 \u0648 \u0628\u0631\u0686\u0633\u0628 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0647\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">YOLOv8 \u0686\u06cc\u0633\u062a\u061f<\/h2>\n<p dir=\"rtl\" lang=\"fa\">YOLO \u0645\u062e\u0641\u0641 \u0639\u0628\u0627\u0631\u062a You Only Look Once \u0627\u0633\u062a. \u0627\u06cc\u0646 \u062e\u0627\u0646\u0648\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u0647\u0627 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0645\u0631\u062d\u0644\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u06a9\u0646\u0646\u062f \u0648 \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0628\u0627 \u0633\u0631\u0639\u062a \u0628\u0627\u0644\u0627 \u0645\u0646\u0627\u0633\u0628 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">YOLOv8 \u062a\u0648\u0633\u0637 Ultralytics \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0648 \u0627\u0632 \u0648\u0638\u0627\u06cc\u0641 \u0645\u062e\u062a\u0644\u0641 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u06cc\u0627 Object Detection<\/li>\n<li>\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u06cc\u0627 Classification<\/li>\n<li>\u0642\u0637\u0639\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u06cc\u0627 Segmentation<\/li>\n<li>\u062a\u062e\u0645\u06cc\u0646 \u0648\u0636\u0639\u06cc\u062a \u0628\u062f\u0646 \u06cc\u0627 Pose Estimation<\/li>\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u06cc \u0686\u0631\u062e\u06cc\u062f\u0647 \u06cc\u0627 Oriented Bounding Box<\/li>\n<li>\u0631\u062f\u06cc\u0627\u0628\u06cc \u0627\u0634\u06cc\u0627 \u062f\u0631 \u0648\u06cc\u062f\u06cc\u0648<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u0631\u0627\u0628\u0637 \u067e\u0627\u06cc\u062a\u0648\u0646 Ultralytics\u060c \u0641\u0631\u0627\u06cc\u0646\u062f Train\u060c \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc\u060c \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0648 \u062e\u0631\u0648\u062c\u06cc \u06af\u0631\u0641\u062a\u0646 \u0627\u0632 \u0645\u062f\u0644 \u0631\u0627 \u0633\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f. \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u0633\u0627\u062e\u062a\u0627\u0631 \u06a9\u0644\u06cc \u0627\u06cc\u0646 \u0627\u0628\u0632\u0627\u0631 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 <a href=\"https:\/\/docs.ultralytics.com\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">\u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0631\u0633\u0645\u06cc Ultralytics<\/a> \u0645\u0631\u0627\u062c\u0639\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<blockquote>\n<p dir=\"rtl\" lang=\"fa\">\u0646\u06a9\u062a\u0647: \u0627\u06af\u0631\u0686\u0647 \u0646\u0633\u062e\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc \u0627\u0632 \u062e\u0627\u0646\u0648\u0627\u062f\u0647 YOLO \u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u0627\u0646\u062f\u060c YOLOv8 \u0647\u0645\u0686\u0646\u0627\u0646 \u062f\u0631 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0639\u0645\u0644\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0628\u0647\u062a\u0631 \u0627\u0633\u062a \u067e\u06cc\u0634 \u0627\u0632 \u0634\u0631\u0648\u0639 \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 \u062a\u062c\u0627\u0631\u06cc\u060c \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u0631\u0627 \u0627\u0632 \u0646\u0638\u0631 \u0633\u0631\u0639\u062a\u060c \u062f\u0642\u062a\u060c \u0645\u062c\u0648\u0632 \u0648 \u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0628\u0627 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<\/blockquote>\n<h2 dir=\"rtl\" lang=\"fa\">\u0686\u0631\u0627 \u0627\u0632 YOLOv8 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u061f<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0647\u0645 \u062a\u0631\u06cc\u0646 \u0645\u0632\u0627\u06cc\u0627\u06cc YOLOv8 \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u0633\u0627\u062f\u0647<\/li>\n<li>\u0627\u0645\u06a9\u0627\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0627 \u0632\u0628\u0627\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646<\/li>\n<li>\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 \u0645\u0631\u06a9\u0632\u06cc \u0648 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9<\/li>\n<li>\u0648\u062c\u0648\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647<\/li>\n<li>\u0627\u0645\u06a9\u0627\u0646 Train \u0645\u062f\u0644 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc<\/li>\n<li>\u0642\u0627\u0628\u0644\u06cc\u062a \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631\u060c \u0648\u06cc\u062f\u06cc\u0648 \u0648 \u0648\u0628 \u06a9\u0645<\/li>\n<li>\u0627\u0645\u06a9\u0627\u0646 \u062e\u0631\u0648\u062c\u06cc \u06af\u0631\u0641\u062a\u0646 \u0628\u0627 \u0641\u0631\u0645\u062a \u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f ONNX<\/li>\n<li>\u0645\u0646\u0627\u0633\u0628 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0646\u0645\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0647 \u0648 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u0644\u0628\u062a\u0647 \u06a9\u06cc\u0641\u06cc\u062a \u0646\u0647\u0627\u06cc\u06cc \u0645\u062f\u0644 \u0641\u0642\u0637 \u0628\u0647 \u0645\u0639\u0645\u0627\u0631\u06cc YOLO \u0648\u0627\u0628\u0633\u062a\u0647 \u0646\u06cc\u0633\u062a. \u06a9\u06cc\u0641\u06cc\u062a \u062a\u0635\u0627\u0648\u06cc\u0631\u060c \u062f\u0642\u062a \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc\u060c \u062a\u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc Train \u0648 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0646\u06cc\u0632 \u062a\u0627\u062b\u06cc\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645\u06cc \u0628\u0631 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0627\u0631\u0646\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u067e\u06cc\u0634 \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 YOLOv8<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0628\u0647 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0632\u06cc\u0631 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>Python \u0646\u0633\u062e\u0647 3.8 \u06cc\u0627 \u0628\u0627\u0644\u0627\u062a\u0631<\/li>\n<li>pip \u0628\u0631\u0627\u06cc \u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<\/li>\n<li>\u06cc\u06a9 \u0648\u06cc\u0631\u0627\u06cc\u0634\u06af\u0631 \u0645\u0627\u0646\u0646\u062f VS Code \u06cc\u0627 PyCharm<\/li>\n<li>\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Ultralytics<\/li>\n<li>\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 OpenCV<\/li>\n<li>\u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc Train \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc<\/li>\n<li>\u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 NVIDIA \u0628\u0647 \u0635\u0648\u0631\u062a \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0627\u0644\u0632\u0627\u0645\u06cc \u0646\u06cc\u0633\u062a\u060c \u0627\u0645\u0627 \u0633\u0631\u0639\u062a \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0645\u062d\u0633\u0648\u0633\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc \u062f\u0647\u062f. \u0627\u06af\u0631 \u0633\u06cc\u0633\u062a\u0645 \u0645\u0646\u0627\u0633\u0628\u06cc \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u0646\u062f\u0627\u0631\u06cc\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 Google Colab \u06cc\u0627 \u0633\u0631\u0648\u0631 \u062f\u0627\u0631\u0627\u06cc GPU \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0633\u0627\u062e\u062a \u0645\u062d\u06cc\u0637 \u067e\u0631\u0648\u0698\u0647 YOLOv8<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u0628\u062a\u062f\u0627 \u06cc\u06a9 \u067e\u0648\u0634\u0647 \u0628\u0631\u0627\u06cc \u067e\u0631\u0648\u0698\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">mkdir<\/span> yolo-object-detection\r\n<span class=\"hljs-built_in\">cd<\/span> yolo-object-detection\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0633\u067e\u0633 \u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">python -m venv venv\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc \u062f\u0631 \u0648\u06cc\u0646\u062f\u0648\u0632:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">venv\\Scripts\\activate\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u062f\u0631 \u0644\u06cc\u0646\u0648\u06a9\u0633 \u0648 macOS:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">source<\/span> venv\/bin\/activate\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06a9\u0646\u0648\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">pip install ultralytics opencv-python\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u0646\u0635\u0628 \u0635\u062d\u06cc\u062d Ultralytics \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">yolo checks\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0633\u062e\u0647 \u0646\u0635\u0628 \u0634\u062f\u0647 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> ultralytics\r\n\r\n<span class=\"hljs-built_in\">print<\/span>(ultralytics.__version__)\r\n<\/code><\/pre>\n<h2 dir=\"rtl\" lang=\"fa\">\u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644 \u0645\u0646\u0627\u0633\u0628 YOLOv8<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u062f\u0644 \u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc YOLOv8 \u062f\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f:<\/p>\n<div class=\"table-container\">\n<table>\n<thead>\n<tr>\n<th>\u0645\u062f\u0644<\/th>\n<th>\u0633\u0631\u0639\u062a<\/th>\n<th>\u062f\u0642\u062a \u0646\u0633\u0628\u06cc<\/th>\n<th>\u0645\u0635\u0631\u0641 \u0645\u0646\u0627\u0628\u0639<\/th>\n<th>\u06a9\u0627\u0631\u0628\u0631\u062f \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td lang=\"en\">YOLOv8n<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u067e\u0627\u06cc\u0647<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0628\u0633\u06cc\u0627\u0631 \u06a9\u0645<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0645\u0648\u0628\u0627\u06cc\u0644\u060c \u0648\u0628 \u06a9\u0645 \u0648 \u0633\u06cc\u0633\u062a\u0645 \u0636\u0639\u06cc\u0641<\/td>\n<\/tr>\n<tr>\n<td lang=\"en\">YOLOv8s<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0628\u0627\u0644\u0627<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0645\u0646\u0627\u0633\u0628<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u06a9\u0645<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0633\u0628\u06a9 \u0648 \u0646\u0645\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0647<\/td>\n<\/tr>\n<tr>\n<td lang=\"en\">YOLOv8m<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0645\u062a\u0648\u0633\u0637<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0628\u0647\u062a\u0631<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0645\u062a\u0648\u0633\u0637<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0639\u0645\u0648\u0645\u06cc<\/td>\n<\/tr>\n<tr>\n<td lang=\"en\">YOLOv8l<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u06a9\u0645\u062a\u0631<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0628\u0627\u0644\u0627<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0632\u06cc\u0627\u062f<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0633\u0631\u0648\u0631 \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0642\u06cc\u0642 \u062a\u0631<\/td>\n<\/tr>\n<tr>\n<td lang=\"en\">YOLOv8x<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u06a9\u0645\u062a\u0631\u06cc\u0646<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0628\u0627\u0644\u0627\u062a\u0631<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0628\u0633\u06cc\u0627\u0631 \u0632\u06cc\u0627\u062f<\/td>\n<td dir=\"rtl\" lang=\"fa\">\u0633\u06cc\u0633\u062a\u0645 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0622\u0641\u0644\u0627\u06cc\u0646<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p dir=\"rtl\" lang=\"fa\">\u062d\u0631\u0641 <code>n<\/code> \u062f\u0631 \u0646\u0627\u0645 \u0645\u062f\u0644 \u0628\u0647 Nano\u060c \u062d\u0631\u0641 <code>s<\/code> \u0628\u0647 Small\u060c \u062d\u0631\u0641 <code>m<\/code> \u0628\u0647 Medium\u060c \u062d\u0631\u0641 <code>l<\/code> \u0628\u0647 Large \u0648 \u062d\u0631\u0641 <code>x<\/code> \u0628\u0647 Extra Large \u0627\u0634\u0627\u0631\u0647 \u062f\u0627\u0631\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639\u060c \u0645\u062f\u0644 <code>yolov8n.pt<\/code> \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0646\u0627\u0633\u0628\u06cc \u0627\u0633\u062a\u061b \u0632\u06cc\u0631\u0627 \u062d\u062c\u0645 \u06a9\u0645\u06cc \u062f\u0627\u0631\u062f \u0648 \u0633\u0631\u06cc\u0639 \u0627\u062c\u0631\u0627 \u0645\u06cc \u0634\u0648\u062f. \u067e\u0633 \u0627\u0632 \u062a\u06a9\u0645\u06cc\u0644 \u0646\u0645\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u062a\u0631 \u0631\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0627\u062c\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0646 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 \u0645\u062f\u0644 \u0622\u0645\u0627\u062f\u0647<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u062f\u0644 \u0647\u0627\u06cc \u0622\u0645\u0627\u062f\u0647 YOLOv8 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 COCO \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0646\u062f \u0648 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u062a\u0634\u062e\u06cc\u0635 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0639\u0645\u0648\u0645\u06cc \u0645\u0627\u0646\u0646\u062f \u0627\u0646\u0633\u0627\u0646\u060c \u062e\u0648\u062f\u0631\u0648\u060c \u0627\u062a\u0648\u0628\u0648\u0633\u060c \u06af\u0631\u0628\u0647\u060c \u0633\u06af\u060c \u062f\u0648\u0686\u0631\u062e\u0647 \u0648 \u0635\u0646\u062f\u0644\u06cc \u0631\u0627 \u062f\u0627\u0631\u0646\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0641\u0627\u06cc\u0644 \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0627 \u0646\u0627\u0645 <code>predict_image.py<\/code> \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"yolov8n.pt\"<\/span>)\r\n\r\nresults = model.predict(\r\n    source=<span class=\"hljs-string\">\"test.jpg\"<\/span>,\r\n    conf=<span class=\"hljs-number\">0.4<\/span>,\r\n    save=<span class=\"hljs-literal\">True<\/span>\r\n)\r\n\r\n<span class=\"hljs-built_in\">print<\/span>(results)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u0627\u0648\u0644\u06cc\u0646 \u0627\u062c\u0631\u0627\u060c \u0641\u0627\u06cc\u0644 \u0648\u0632\u0646 \u0645\u062f\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u062e\u0648\u062f\u06a9\u0627\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u0645\u06cc \u0634\u0648\u062f. \u062a\u0635\u0648\u06cc\u0631 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u062f\u0647 \u0646\u06cc\u0632 \u062f\u0631 \u0645\u0633\u06cc\u0631 <code>runs\/detect\/predict<\/code> \u0630\u062e\u06cc\u0631\u0647 \u062e\u0648\u0627\u0647\u062f \u0634\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u067e\u0627\u0631\u0627\u0645\u062a\u0631 <code>conf<\/code> \u062d\u062f\u0627\u0642\u0644 \u0645\u06cc\u0632\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0631\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u062f. \u0627\u06af\u0631 \u0645\u0642\u062f\u0627\u0631 \u0622\u0646 \u0628\u0631\u0627\u0628\u0631 <code>0.4<\/code> \u0628\u0627\u0634\u062f\u060c \u062a\u0634\u062e\u06cc\u0635 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u06a9\u0645\u062a\u0631 \u0627\u0632 40 \u062f\u0631\u0635\u062f \u062f\u0627\u0631\u0646\u062f \u06a9\u0646\u0627\u0631 \u06af\u0630\u0627\u0634\u062a\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0646\u0645\u0627\u06cc\u0634 \u0646\u062a\u06cc\u062c\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0628\u0627 OpenCV<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0646\u062a\u06cc\u062c\u0647 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u067e\u0646\u062c\u0631\u0647 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0647\u06cc\u0645\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 OpenCV \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> cv2\r\n<span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"yolov8n.pt\"<\/span>)\r\nresults = model.predict(source=<span class=\"hljs-string\">\"test.jpg\"<\/span>, conf=<span class=\"hljs-number\">0.4<\/span>)\r\n\r\nannotated_frame = results[<span class=\"hljs-number\">0<\/span>].plot()\r\n\r\ncv2.imshow(<span class=\"hljs-string\">\"YOLOv8 Detection\"<\/span>, annotated_frame)\r\ncv2.waitKey(<span class=\"hljs-number\">0<\/span>)\r\ncv2.destroyAllWindows()\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u062a\u062f <code>plot()<\/code> \u06a9\u0627\u062f\u0631\u0647\u0627\u060c \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0648 \u0645\u06cc\u0632\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0631\u0648\u06cc \u062a\u0635\u0648\u06cc\u0631 \u062a\u0631\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0627\u0634\u06cc\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627 \u0641\u0642\u0637 \u0646\u0645\u0627\u06cc\u0634 \u062a\u0635\u0648\u06cc\u0631 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a. \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0645\u062e\u062a\u0635\u0627\u062a\u060c \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0648 \u0645\u06cc\u0632\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0647\u0631 \u0634\u06cc \u0631\u0627 \u062f\u0631 \u067e\u0627\u06cc\u06af\u0627\u0647 \u062f\u0627\u062f\u0647 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u0645 \u06cc\u0627 \u0628\u0631\u0627\u06cc \u0628\u062e\u0634 \u062f\u06cc\u06af\u0631\u06cc \u0627\u0632 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u0645.<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"yolov8n.pt\"<\/span>)\r\nresult = model(<span class=\"hljs-string\">\"test.jpg\"<\/span>)[<span class=\"hljs-number\">0<\/span>]\r\n\r\n<span class=\"hljs-keyword\">for<\/span> box <span class=\"hljs-keyword\">in<\/span> result.boxes:\r\n    class_id = <span class=\"hljs-built_in\">int<\/span>(box.cls[<span class=\"hljs-number\">0<\/span>])\r\n    confidence = <span class=\"hljs-built_in\">float<\/span>(box.conf[<span class=\"hljs-number\">0<\/span>])\r\n    x1, y1, x2, y2 = box.xyxy[<span class=\"hljs-number\">0<\/span>].tolist()\r\n    class_name = model.names[class_id]\r\n\r\n    <span class=\"hljs-built_in\">print<\/span>({\r\n        <span class=\"hljs-string\">\"class_id\"<\/span>: class_id,\r\n        <span class=\"hljs-string\">\"class_name\"<\/span>: class_name,\r\n        <span class=\"hljs-string\">\"confidence\"<\/span>: <span class=\"hljs-built_in\">round<\/span>(confidence, <span class=\"hljs-number\">3<\/span>),\r\n        <span class=\"hljs-string\">\"box\"<\/span>: [x1, y1, x2, y2]\r\n    })\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u062e\u062a\u0635\u0627\u062a <code>x1<\/code> \u0648 <code>y1<\/code> \u06af\u0648\u0634\u0647 \u0628\u0627\u0644\u0627 \u0648 \u0633\u0645\u062a \u0686\u067e \u06a9\u0627\u062f\u0631 \u0647\u0633\u062a\u0646\u062f. \u0645\u0642\u0627\u062f\u06cc\u0631 <code>x2<\/code> \u0648 <code>y2<\/code> \u0646\u06cc\u0632 \u06af\u0648\u0634\u0647 \u067e\u0627\u06cc\u06cc\u0646 \u0648 \u0633\u0645\u062a \u0631\u0627\u0633\u062a \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u0646\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 YOLOv8 \u0648 \u0648\u0628 \u06a9\u0645<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u0646\u062f\u0647\u060c \u0634\u0645\u0627\u0631\u0647 \u062f\u0648\u0631\u0628\u06cc\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u0631\u0648\u062f\u06cc \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u062f\u0648\u0631\u0628\u06cc\u0646 \u0627\u0635\u0644\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u0635\u0641\u0631 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a.<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> cv2\r\n<span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"yolov8n.pt\"<\/span>)\r\ncamera = cv2.VideoCapture(<span class=\"hljs-number\">0<\/span>)\r\n\r\n<span class=\"hljs-keyword\">if<\/span> <span class=\"hljs-keyword\">not<\/span> camera.isOpened():\r\n    <span class=\"hljs-keyword\">raise<\/span> RuntimeError(<span class=\"hljs-string\">\"Camera could not be opened.\"<\/span>)\r\n\r\n<span class=\"hljs-keyword\">while<\/span> <span class=\"hljs-literal\">True<\/span>:\r\n    success, frame = camera.read()\r\n\r\n    <span class=\"hljs-keyword\">if<\/span> <span class=\"hljs-keyword\">not<\/span> success:\r\n        <span class=\"hljs-keyword\">break<\/span>\r\n\r\n    results = model.predict(\r\n        source=frame,\r\n        conf=<span class=\"hljs-number\">0.4<\/span>,\r\n        verbose=<span class=\"hljs-literal\">False<\/span>\r\n    )\r\n\r\n    annotated_frame = results[<span class=\"hljs-number\">0<\/span>].plot()\r\n    cv2.imshow(<span class=\"hljs-string\">\"Real-time Object Detection\"<\/span>, annotated_frame)\r\n\r\n    <span class=\"hljs-keyword\">if<\/span> cv2.waitKey(<span class=\"hljs-number\">1<\/span>) &amp; <span class=\"hljs-number\">0xFF<\/span> == <span class=\"hljs-built_in\">ord<\/span>(<span class=\"hljs-string\">\"q\"<\/span>):\r\n        <span class=\"hljs-keyword\">break<\/span>\r\n\r\ncamera.release()\r\ncv2.destroyAllWindows()\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0627 \u0641\u0634\u0631\u062f\u0646 \u06a9\u0644\u06cc\u062f <code>q<\/code> \u0628\u0631\u0646\u0627\u0645\u0647 \u0645\u062a\u0648\u0642\u0641 \u0645\u06cc \u0634\u0648\u062f. \u0627\u06af\u0631 \u0686\u0646\u062f \u062f\u0648\u0631\u0628\u06cc\u0646 \u0628\u0647 \u0633\u06cc\u0633\u062a\u0645 \u0645\u062a\u0635\u0644 \u0627\u0633\u062a\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0642\u062f\u0627\u0631 <code>0<\/code> \u0631\u0627 \u0628\u0647 <code>1<\/code> \u06cc\u0627 <code>2<\/code> \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u0633\u0631\u0639\u062a \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0646\u062f\u0627\u0632\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u06a9\u0627\u0647\u0634 \u062f\u0627\u062f\u060c \u0645\u062f\u0644 \u06a9\u0648\u0686\u06a9 \u062a\u0631\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f \u06cc\u0627 \u0628\u0639\u0636\u06cc \u0641\u0631\u06cc\u0645 \u0647\u0627 \u0631\u0627 \u0646\u0627\u062f\u06cc\u062f\u0647 \u06af\u0631\u0641\u062a.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">Train \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc YOLOv8 \u0686\u0647 \u0632\u0645\u0627\u0646\u06cc \u0644\u0627\u0632\u0645 \u0627\u0633\u062a\u061f<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u062f\u0644 \u0622\u0645\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u06cc \u0639\u0645\u0648\u0645\u06cc \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a. \u0627\u0645\u0627 \u0627\u06af\u0631 \u0647\u062f\u0641 \u0634\u0645\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0645\u062d\u0635\u0648\u0644 \u062e\u0627\u0635\u060c \u0642\u0637\u0639\u0647 \u0635\u0646\u0639\u062a\u06cc\u060c \u0646\u0642\u0635 \u0633\u0637\u062d\u060c \u0627\u0628\u0632\u0627\u0631 \u067e\u0632\u0634\u06a9\u06cc\u060c \u0646\u0648\u0639 \u06af\u06cc\u0627\u0647 \u06cc\u0627 \u0634\u06cc \u0645\u062d\u0644\u06cc \u0628\u0627\u0634\u062f\u060c \u0628\u0627\u06cc\u062f \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644\u060c \u0645\u062f\u0644 \u0622\u0645\u0627\u062f\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06cc\u06a9 \u0628\u0637\u0631\u06cc \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u062f\u0647\u062f\u061b \u0627\u0645\u0627 \u0646\u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u062f\u0648\u0646 \u0622\u0645\u0648\u0632\u0634 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0645\u062f\u0644\u060c \u0628\u0631\u0646\u062f \u06cc\u0627 \u0646\u0648\u0639 \u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0627 \u062f\u0642\u062a \u06a9\u0627\u0641\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0646\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0631\u0627\u062d\u0644 \u06a9\u0644\u06cc Train \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632:<\/p>\n<ol dir=\"rtl\" lang=\"fa\">\n<li>\u062a\u0639\u0631\u06cc\u0641 \u06a9\u0644\u0627\u0633 \u0647\u0627<\/li>\n<li>\u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631<\/li>\n<li>\u067e\u0627\u06a9 \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/li>\n<li>\u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u0627\u0634\u06cc\u0627<\/li>\n<li>\u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627<\/li>\n<li>\u0633\u0627\u062e\u062a \u0641\u0627\u06cc\u0644 YAML<\/li>\n<li>\u0627\u062c\u0631\u0627\u06cc Train<\/li>\n<li>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/li>\n<li>\u0622\u0632\u0645\u0627\u06cc\u0634 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0648\u0627\u0642\u0639\u06cc<\/li>\n<li>\u062e\u0631\u0648\u062c\u06cc \u06af\u0631\u0641\u062a\u0646 \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644<\/li>\n<\/ol>\n<h2 dir=\"rtl\" lang=\"fa\">\u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u062f\u06cc\u062a\u0627\u0633\u062a \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u06a9\u06cc\u0641\u06cc\u062a \u062f\u06cc\u062a\u0627\u0633\u062a\u060c \u0645\u0647\u0645 \u062a\u0631\u06cc\u0646 \u0639\u0627\u0645\u0644 \u0645\u0648\u0641\u0642\u06cc\u062a \u062f\u0631 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0627\u0633\u062a. \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627\u06cc\u062f \u0634\u0631\u0627\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u0627 \u067e\u0648\u0634\u0634 \u062f\u0647\u0646\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u0632\u0645\u0627\u0646 \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u062f\u0627\u062f\u0647 \u0628\u0647 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>\u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0627\u0632 \u0632\u0627\u0648\u06cc\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062a\u0647\u06cc\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u0641\u0627\u0635\u0644\u0647 \u0647\u0627\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0632 \u0634\u06cc \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f.<\/li>\n<li>\u0646\u0648\u0631 \u0631\u0648\u0632\u060c \u0646\u0648\u0631 \u06a9\u0645 \u0648 \u0633\u0627\u06cc\u0647 \u0631\u0627 \u067e\u0648\u0634\u0634 \u062f\u0647\u06cc\u062f.<\/li>\n<li>\u067e\u0633 \u0632\u0645\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646\u0648\u0639 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.<\/li>\n<li>\u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u06a9\u0648\u0686\u06a9\u060c \u0628\u0632\u0631\u06af\u060c \u0646\u0627\u0642\u0635 \u0648 \u067e\u0648\u0634\u06cc\u062f\u0647 \u0634\u062f\u0647 \u0631\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0634\u0627\u0628\u0647 \u0648 \u062a\u06a9\u0631\u0627\u0631\u06cc \u0631\u0627 \u0645\u062d\u062f\u0648\u062f \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u0628\u0631\u0627\u06cc \u062a\u0645\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u062a\u0639\u062f\u0627\u062f \u0645\u0646\u0627\u0633\u0628\u06cc \u0646\u0645\u0648\u0646\u0647 \u062a\u0647\u06cc\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u062f\u0648\u0646 \u0634\u06cc \u0647\u062f\u0641 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0635\u0648\u0631\u062a \u0646\u06cc\u0627\u0632 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u062a\u0639\u062f\u0627\u062f \u062f\u0642\u06cc\u0642 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0647 \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0645\u0633\u0626\u0644\u0647 \u0628\u0633\u062a\u06af\u06cc \u062f\u0627\u0631\u062f. \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0646\u0645\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0647 \u0633\u0627\u062f\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0686\u0646\u062f \u0635\u062f \u062a\u0635\u0648\u06cc\u0631 \u0646\u062a\u06cc\u062c\u0647 \u0627\u0648\u0644\u06cc\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u062f\u060c \u0627\u0645\u0627 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u062d\u0633\u0627\u0633 \u0648 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u0645\u062a\u0646\u0648\u0639 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u06cc\u0634\u062a\u0631\u06cc \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u0646\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0631 \u0641\u0631\u0645\u062a YOLO<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u060c \u0628\u0627\u06cc\u062f \u062f\u0648\u0631 \u0647\u0631 \u0634\u06cc \u06cc\u06a9 \u06a9\u0627\u062f\u0631 \u0631\u0633\u0645 \u0634\u0648\u062f \u0648 \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0622\u0646 \u0645\u0634\u062e\u0635 \u06af\u0631\u062f\u062f. \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u0646\u062f\u060c \u0627\u0632 \u062c\u0645\u0644\u0647:<\/p>\n<ul lang=\"en\">\n<li>CVAT<\/li>\n<li>Label Studio<\/li>\n<li>LabelImg<\/li>\n<li>Roboflow<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u0647\u0631 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u0641\u0631\u0645\u062a YOLO \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0645\u062a\u0646\u06cc \u0647\u0645 \u0646\u0627\u0645 \u062f\u0627\u0631\u062f. \u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">images\/train\/product_001.jpg\r\nlabels\/train\/product_001.txt\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0647\u0631 \u062e\u0637 \u0641\u0627\u06cc\u0644 \u0628\u0631\u0686\u0633\u0628 \u0627\u0632 \u0633\u0627\u062e\u062a\u0627\u0631 \u0632\u06cc\u0631 \u067e\u06cc\u0631\u0648\u06cc \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">class_id x_center y_center width height\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0646\u0645\u0648\u0646\u0647:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">0 0.512 0.430 0.280 0.360\r\n1 0.225 0.610 0.170 0.240\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u062e\u062a\u0635\u0627\u062a \u0648 \u0627\u0628\u0639\u0627\u062f \u062f\u0631 \u0627\u06cc\u0646 \u0641\u0631\u0645\u062a \u0646\u0631\u0645\u0627\u0644 \u0634\u062f\u0647 \u0627\u0646\u062f \u0648 \u0645\u0642\u062f\u0627\u0631 \u0622\u0646 \u0647\u0627 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u06cc\u0646 \u0635\u0641\u0631 \u0648 \u06cc\u06a9 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u062f. \u0634\u0645\u0627\u0631\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0646\u06cc\u0632 \u0627\u0632 \u0635\u0641\u0631 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u062f\u0648 \u0634\u06cc \u062f\u0631 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f\u060c \u0641\u0627\u06cc\u0644 \u0628\u0631\u0686\u0633\u0628 \u0628\u0627\u06cc\u062f \u062f\u0648 \u062e\u0637 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f. \u0627\u06af\u0631 \u062a\u0635\u0648\u06cc\u0631 \u0647\u06cc\u0686 \u0634\u06cc \u0647\u062f\u0641\u06cc \u0646\u062f\u0627\u0631\u062f\u060c \u0641\u0627\u06cc\u0644 \u0628\u0631\u0686\u0633\u0628 \u0622\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062e\u0627\u0644\u06cc \u0628\u0627\u0634\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0633\u0627\u062e\u062a\u0627\u0631 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u062f\u06cc\u062a\u0627\u0633\u062a YOLOv8<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0633\u0627\u062e\u062a\u0627\u0631 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc \u067e\u0631\u0648\u0698\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">yolo-object-detection\/\r\n\u251c\u2500\u2500 dataset\/\r\n\u2502   \u251c\u2500\u2500 images\/\r\n\u2502   \u2502   \u251c\u2500\u2500 train\/\r\n\u2502   \u2502   \u251c\u2500\u2500 val\/\r\n\u2502   \u2502   \u2514\u2500\u2500 test\/\r\n\u2502   \u251c\u2500\u2500 labels\/\r\n\u2502   \u2502   \u251c\u2500\u2500 train\/\r\n\u2502   \u2502   \u251c\u2500\u2500 val\/\r\n\u2502   \u2502   \u2514\u2500\u2500 test\/\r\n\u2502   \u2514\u2500\u2500 data.yaml\r\n\u251c\u2500\u2500 train.py\r\n\u251c\u2500\u2500 predict.py\r\n\u2514\u2500\u2500 requirements.txt\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0627\u062f\u0647 \u0647\u0627 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u0633\u0647 \u0628\u062e\u0634 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u0634\u0648\u0646\u062f:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li><code>train<\/code>: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644<\/li>\n<li><code>val<\/code>: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062d\u06cc\u0646 Train<\/li>\n<li><code>test<\/code>: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0646\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0648\u0627\u0642\u0639\u06cc<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u06cc\u06a9 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0645\u062a\u062f\u0627\u0648\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f 70 \u062f\u0631\u0635\u062f \u0628\u0631\u0627\u06cc Train\u060c \u062d\u062f\u0648\u062f 20 \u062f\u0631\u0635\u062f \u0628\u0631\u0627\u06cc Validation \u0648 10 \u062f\u0631\u0635\u062f \u0628\u0631\u0627\u06cc Test \u0628\u0627\u0634\u062f. \u0627\u06cc\u0646 \u0646\u0633\u0628\u062a \u062b\u0627\u0628\u062a \u0646\u06cc\u0633\u062a \u0648 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u062f\u06cc\u062a\u0627\u0633\u062a \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u062a\u0635\u0627\u0648\u06cc\u0631 \u06cc\u06a9 \u0648\u06cc\u062f\u06cc\u0648 \u06cc\u0627 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0634\u0627\u0628\u0647 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0635\u0627\u062f\u0641\u06cc \u0628\u06cc\u0646 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0647\u0627 \u067e\u062e\u0634 \u0646\u06a9\u0646\u06cc\u062f. \u062f\u0631 \u063a\u06cc\u0631 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a\u060c \u0645\u062f\u0644 \u062f\u0631 \u0628\u062e\u0634 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0628\u0627 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc\u06cc \u062a\u0642\u0631\u06cc\u0628\u0627 \u0645\u0634\u0627\u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc Train \u0631\u0648\u0628\u0631\u0648 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0646\u062a\u06cc\u062c\u0647 \u063a\u06cc\u0631\u0648\u0627\u0642\u0639\u06cc \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0633\u0627\u062e\u062a \u0641\u0627\u06cc\u0644 data.yaml<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0641\u0627\u06cc\u0644 <code>data.yaml<\/code> \u0645\u0633\u06cc\u0631 \u062f\u06cc\u062a\u0627\u0633\u062a \u0648 \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-attr\">path:<\/span> <span class=\"hljs-string\">dataset<\/span>\r\n<span class=\"hljs-attr\">train:<\/span> <span class=\"hljs-string\">images\/train<\/span>\r\n<span class=\"hljs-attr\">val:<\/span> <span class=\"hljs-string\">images\/val<\/span>\r\n<span class=\"hljs-attr\">test:<\/span> <span class=\"hljs-string\">images\/test<\/span>\r\n\r\n<span class=\"hljs-attr\">names:<\/span>\r\n  <span class=\"hljs-attr\">0:<\/span> <span class=\"hljs-string\">helmet<\/span>\r\n  <span class=\"hljs-attr\">1:<\/span> <span class=\"hljs-string\">person<\/span>\r\n  <span class=\"hljs-attr\">2:<\/span> <span class=\"hljs-string\">vest<\/span>\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0633\u0647 \u06a9\u0644\u0627\u0633 \u06a9\u0644\u0627\u0647 \u0627\u06cc\u0645\u0646\u06cc\u060c \u0627\u0646\u0633\u0627\u0646 \u0648 \u062c\u0644\u06cc\u0642\u0647 \u062a\u0639\u0631\u06cc\u0641 \u0634\u062f\u0647 \u0627\u0646\u062f. \u062a\u0631\u062a\u06cc\u0628 \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0628\u0627\u06cc\u062f \u062f\u0642\u06cc\u0642\u0627 \u0628\u0627 \u0634\u0646\u0627\u0633\u0647 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u0628\u0631\u0686\u0633\u0628 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u0645\u0633\u06cc\u0631 \u0646\u0633\u0628\u06cc \u0628\u0631\u0627\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0634\u0645\u0627 \u062f\u0631\u0633\u062a \u06a9\u0627\u0631 \u0646\u06a9\u0631\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0633\u06cc\u0631 \u06a9\u0627\u0645\u0644 \u062f\u06cc\u062a\u0627\u0633\u062a \u0631\u0627 \u062f\u0631 \u0645\u0642\u062f\u0627\u0631 <code>path<\/code> \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">Train \u0645\u062f\u0644 YOLOv8 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0641\u0627\u06cc\u0644 <code>train.py<\/code> \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"yolov8n.pt\"<\/span>)\r\n\r\nresults = model.train(\r\n    data=<span class=\"hljs-string\">\"dataset\/data.yaml\"<\/span>,\r\n    epochs=<span class=\"hljs-number\">100<\/span>,\r\n    imgsz=<span class=\"hljs-number\">640<\/span>,\r\n    batch=<span class=\"hljs-number\">16<\/span>,\r\n    project=<span class=\"hljs-string\">\"runs\/custom\"<\/span>,\r\n    name=<span class=\"hljs-string\">\"helmet_detector\"<\/span>,\r\n    patience=<span class=\"hljs-number\">20<\/span>,\r\n    workers=<span class=\"hljs-number\">4<\/span>,\r\n    device=<span class=\"hljs-number\">0<\/span>\r\n)\r\n\r\n<span class=\"hljs-built_in\">print<\/span>(results)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0648\u0632\u0646 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f. \u0627\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u06a9\u0647 \u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0627\u0645 \u062f\u0627\u0631\u062f\u060c \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0648 \u0632\u0645\u0627\u0646 \u06a9\u0645\u062a\u0631 \u0628\u0647 \u0646\u062a\u06cc\u062c\u0647 \u0628\u0647\u062a\u0631\u06cc \u0646\u0633\u0628\u062a \u0628\u0647 \u0634\u0631\u0648\u0639 \u06a9\u0627\u0645\u0644\u0627 \u062a\u0635\u0627\u062f\u0641\u06cc \u0645\u06cc \u0631\u0633\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u06a9\u0627\u0645\u0644 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0631 \u0635\u0641\u062d\u0647 <a href=\"https:\/\/docs.ultralytics.com\/modes\/train\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Train \u0645\u062f\u0644 \u062f\u0631 \u0645\u0633\u062a\u0646\u062f\u0627\u062a Ultralytics<\/a> \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0645\u0641\u0647\u0648\u0645 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc Train<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0645\u0647\u0645 \u06a9\u062f \u0628\u0627\u0644\u0627 \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li><code>data<\/code>: \u0645\u0633\u06cc\u0631 \u0641\u0627\u06cc\u0644 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u062f\u06cc\u062a\u0627\u0633\u062a<\/li>\n<li><code>epochs<\/code>: \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634<\/li>\n<li><code>imgsz<\/code>: \u0627\u0646\u062f\u0627\u0632\u0647 \u0648\u0631\u0648\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631<\/li>\n<li><code>batch<\/code>: \u062a\u0639\u062f\u0627\u062f \u062a\u0635\u0627\u0648\u06cc\u0631 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u062f\u0647 \u062f\u0631 \u0647\u0631 \u0645\u0631\u062d\u0644\u0647<\/li>\n<li><code>project<\/code>: \u067e\u0648\u0634\u0647 \u0627\u0635\u0644\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0646\u062a\u0627\u06cc\u062c<\/li>\n<li><code>name<\/code>: \u0646\u0627\u0645 \u0627\u062c\u0631\u0627\u06cc \u0641\u0639\u0644\u06cc<\/li>\n<li><code>patience<\/code>: \u062a\u0648\u0642\u0641 \u0622\u0645\u0648\u0632\u0634 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0647\u0628\u0648\u062f \u0646\u06cc\u0627\u0641\u062a\u0646 \u0646\u062a\u06cc\u062c\u0647<\/li>\n<li><code>workers<\/code>: \u062a\u0639\u062f\u0627\u062f \u067e\u0631\u062f\u0627\u0632\u0634 \u0647\u0627\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u062f\u0627\u062f\u0647<\/li>\n<li><code>device<\/code>: \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0648\u0644\u06cc\u0646 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 NVIDIA \u0645\u0642\u062f\u0627\u0631 <code>device=0<\/code> \u0631\u0627 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f. \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc Train \u0631\u0648\u06cc \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 \u0645\u0631\u06a9\u0632\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0645\u0642\u062f\u0627\u0631 \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">device=<span class=\"hljs-string\">\"cpu\"<\/span>\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u0628\u0627 \u062e\u0637\u0627\u06cc \u06a9\u0645\u0628\u0648\u062f \u062d\u0627\u0641\u0638\u0647 GPU \u0645\u0648\u0627\u062c\u0647 \u0634\u062f\u06cc\u062f\u060c \u0645\u0642\u062f\u0627\u0631 <code>batch<\/code> \u06cc\u0627 <code>imgsz<\/code> \u0631\u0627 \u06a9\u0627\u0647\u0634 \u062f\u0647\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0622\u0645\u0648\u0632\u0634 YOLOv8 \u0628\u0627 \u062e\u0637 \u0641\u0631\u0645\u0627\u0646<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0647\u0645\u0627\u0646 \u0641\u0631\u0627\u06cc\u0646\u062f \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u062f\u0648\u0646 \u0633\u0627\u062e\u062a \u0641\u0627\u06cc\u0644 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u062c\u0631\u0627 \u06a9\u0631\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">yolo detect train data=dataset\/data.yaml model=yolov8n.pt epochs=100 imgsz=640 batch=16\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062e\u0637 \u0641\u0631\u0645\u0627\u0646 \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0633\u0631\u06cc\u0639 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a. \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u0646\u06af\u0647\u062f\u0627\u0631\u06cc\u060c \u0630\u062e\u06cc\u0631\u0647 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u062f\u0627\u062e\u0644 \u0641\u0627\u06cc\u0644 \u067e\u0627\u06cc\u062a\u0648\u0646 \u06cc\u0627 \u0641\u0627\u06cc\u0644 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc\u060c \u062a\u06a9\u0631\u0627\u0631 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0647\u0627 \u0631\u0627 \u0633\u0627\u062f\u0647 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0622\u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 YOLOv8 \u0631\u0627 \u0627\u0632 \u0648\u0632\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc Train \u06a9\u0631\u062f\u061f<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0644\u0647. \u0627\u06af\u0631 \u0645\u0646\u0638\u0648\u0631 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0635\u0641\u0631\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u06a9\u0631\u062f\u0646 \u0627\u0632 \u0648\u0632\u0646 \u0647\u0627\u06cc \u0622\u0645\u0627\u062f\u0647 \u0628\u0627\u0634\u062f\u060c \u0628\u0627\u06cc\u062f \u0641\u0627\u06cc\u0644 \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062f\u0644 \u0631\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"yolov8n.yaml\"<\/span>)\r\n\r\nmodel.train(\r\n    data=<span class=\"hljs-string\">\"dataset\/data.yaml\"<\/span>,\r\n    epochs=<span class=\"hljs-number\">300<\/span>,\r\n    imgsz=<span class=\"hljs-number\">640<\/span>,\r\n    batch=<span class=\"hljs-number\">16<\/span>,\r\n    device=<span class=\"hljs-number\">0<\/span>\r\n)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u062a\u0641\u0627\u0648\u062a \u0627\u0635\u0644\u06cc \u0627\u06cc\u0646 \u062f\u0648 \u0631\u0648\u0634 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u0648\u0631\u0648\u062f\u06cc \u0627\u0633\u062a:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">YOLO(<span class=\"hljs-string\">\"yolov8n.pt\"<\/span>)    <span class=\"hljs-comment\"># \u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0627 \u0648\u0632\u0646 \u0622\u0645\u0627\u062f\u0647<\/span>\r\nYOLO(<span class=\"hljs-string\">\"yolov8n.yaml\"<\/span>)  <span class=\"hljs-comment\"># \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0648\u0632\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc<\/span>\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u062f\u06cc\u062a\u0627\u0633\u062a \u0647\u0627\u06cc \u0627\u062e\u062a\u0635\u0627\u0635\u06cc\u060c \u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0646\u0637\u0642\u06cc \u062a\u0631\u06cc \u0627\u0633\u062a. \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0648\u0632\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u062f\u06cc\u062a\u0627\u0633\u062a \u0628\u0632\u0631\u06af \u062a\u0631\u060c \u062f\u0648\u0631\u0647 \u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0648 \u0645\u0646\u0627\u0628\u0639 \u067e\u0631\u062f\u0627\u0632\u0634\u06cc \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u062e\u0631\u0648\u062c\u06cc Train \u0645\u062f\u0644<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u067e\u0633 \u0627\u0632 \u067e\u0627\u06cc\u0627\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u0646\u062a\u0627\u06cc\u062c \u062f\u0631 \u067e\u0648\u0634\u0647 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u062f\u0648 \u0641\u0627\u06cc\u0644 \u0645\u0647\u0645 \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">weights\/best.pt\r\nweights\/last.pt\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0641\u0627\u06cc\u0644 <code>best.pt<\/code> \u0628\u0647\u062a\u0631\u06cc\u0646 \u0648\u0632\u0646 \u062b\u0628\u062a \u0634\u062f\u0647 \u0628\u0631\u0627\u0633\u0627\u0633 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0627\u0633\u062a. \u0641\u0627\u06cc\u0644 <code>last.pt<\/code> \u0648\u0632\u0646 \u0645\u062f\u0644 \u062f\u0631 \u0622\u062e\u0631\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0646\u06af\u0647\u062f\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0646\u0647\u0627\u06cc\u06cc \u0645\u0639\u0645\u0648\u0644\u0627 \u0627\u0632 <code>best.pt<\/code> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"runs\/custom\/helmet_detector\/weights\/best.pt\"<\/span>)\r\nmodel.predict(source=<span class=\"hljs-string\">\"sample.jpg\"<\/span>, conf=<span class=\"hljs-number\">0.4<\/span>, save=<span class=\"hljs-literal\">True<\/span>)\r\n<\/code><\/pre>\n<h2 dir=\"rtl\" lang=\"fa\">\u0627\u062f\u0627\u0645\u0647 Train \u0645\u062a\u0648\u0642\u0641 \u0634\u062f\u0647<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u0622\u0645\u0648\u0632\u0634 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0642\u0637\u0639 \u0628\u0631\u0642\u060c \u0628\u0633\u062a\u0647 \u0634\u062f\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u06cc\u0627 \u0645\u062d\u062f\u0648\u062f\u06cc\u062a \u0632\u0645\u0627\u0646\u06cc \u0645\u062a\u0648\u0642\u0641 \u0634\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0627\u0632 \u0622\u062e\u0631\u06cc\u0646 \u0648\u0636\u0639\u06cc\u062a \u0627\u062f\u0627\u0645\u0647 \u062f\u0627\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"runs\/custom\/helmet_detector\/weights\/last.pt\"<\/span>)\r\nmodel.train(resume=<span class=\"hljs-literal\">True<\/span>)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0627\u0645\u06a9\u0627\u0646 \u0627\u062f\u0627\u0645\u0647 \u0635\u062d\u06cc\u062d\u060c \u0641\u0627\u06cc\u0644 \u0647\u0627 \u0648 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0627\u062c\u0631\u0627\u06cc \u0642\u0628\u0644\u06cc \u0631\u0627 \u062d\u0630\u0641 \u06cc\u0627 \u062c\u0627\u0628\u0647 \u062c\u0627 \u0646\u06a9\u0646\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0635\u0631\u0641 \u0645\u0634\u0627\u0647\u062f\u0647 \u0686\u0646\u062f \u062a\u0635\u0648\u06cc\u0631 \u0628\u0631\u0627\u06cc \u062a\u0627\u06cc\u06cc\u062f \u06a9\u06cc\u0641\u06cc\u062a \u0645\u062f\u0644 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a. \u0645\u062f\u0644 \u0628\u0627\u06cc\u062f \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0634\u0648\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0645\u0648\u0632\u0634 \u0646\u062f\u06cc\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"runs\/custom\/helmet_detector\/weights\/best.pt\"<\/span>)\r\nmetrics = model.val(data=<span class=\"hljs-string\">\"dataset\/data.yaml\"<\/span>)\r\n\r\n<span class=\"hljs-built_in\">print<\/span>(metrics)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u0647\u0645 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632:<\/p>\n<h3 lang=\"en\">Precision<\/h3>\n<p dir=\"rtl\" lang=\"fa\">Precision \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0686\u0647 \u0645\u0642\u062f\u0627\u0631 \u0627\u0632 \u062a\u0634\u062e\u06cc\u0635 \u0647\u0627\u06cc \u0645\u062f\u0644 \u0648\u0627\u0642\u0639\u0627 \u0635\u062d\u06cc\u062d \u0628\u0648\u062f\u0647 \u0627\u0646\u062f. \u067e\u0627\u06cc\u06cc\u0646 \u0628\u0648\u062f\u0646 Precision \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u0645\u0639\u0646\u06cc \u0632\u06cc\u0627\u062f \u0628\u0648\u062f\u0646 \u062a\u0634\u062e\u06cc\u0635 \u0647\u0627\u06cc \u0627\u0634\u062a\u0628\u0627\u0647 \u0627\u0633\u062a.<\/p>\n<h3 lang=\"en\">Recall<\/h3>\n<p dir=\"rtl\" lang=\"fa\">Recall \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u0645\u062f\u0644 \u0686\u0647 \u0645\u0642\u062f\u0627\u0631 \u0627\u0632 \u0627\u0634\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u067e\u0627\u06cc\u06cc\u0646 \u0628\u0648\u062f\u0646 Recall \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0645\u062f\u0644 \u062a\u0639\u062f\u0627\u062f \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0627\u0634\u06cc\u0627 \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<h3 lang=\"en\">mAP<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0639\u06cc\u0627\u0631 mAP \u0639\u0645\u0644\u06a9\u0631\u062f \u06a9\u0644\u06cc \u0645\u062f\u0644 \u0631\u0627 \u062f\u0631 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0648 \u0622\u0633\u062a\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u062f. \u062f\u0648 \u0645\u0639\u06cc\u0627\u0631 <code>mAP50<\/code> \u0648 <code>mAP50-95<\/code> \u0645\u0639\u0645\u0648\u0644\u0627 \u062f\u0631 \u06af\u0632\u0627\u0631\u0634 \u0646\u062a\u0627\u06cc\u062c \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0646\u0628\u0627\u06cc\u062f \u062a\u0646\u0647\u0627 \u0628\u0631\u0627\u0633\u0627\u0633 \u06cc\u06a9 \u0639\u062f\u062f \u062f\u0631\u0628\u0627\u0631\u0647 \u06a9\u06cc\u0641\u06cc\u062a \u0645\u062f\u0644 \u062a\u0635\u0645\u06cc\u0645 \u06af\u0631\u0641\u062a. \u0639\u0645\u0644\u06a9\u0631\u062f \u0647\u0631 \u06a9\u0644\u0627\u0633\u060c \u0645\u0627\u062a\u0631\u06cc\u0633 \u0633\u0631\u062f\u0631\u06af\u0645\u06cc\u060c \u0634\u0631\u0627\u06cc\u0637 \u0645\u062d\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0647\u0632\u06cc\u0646\u0647 \u062e\u0637\u0627 \u0646\u06cc\u0632 \u0628\u0627\u06cc\u062f \u0628\u0631\u0631\u0633\u06cc \u0634\u0648\u0646\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0622\u0632\u0645\u0627\u06cc\u0634 \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0631\u0648\u06cc \u0648\u06cc\u062f\u06cc\u0648<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0631\u0648\u06cc \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0648\u06cc\u062f\u06cc\u0648\u06cc\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u06a9\u062f \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"runs\/custom\/helmet_detector\/weights\/best.pt\"<\/span>)\r\n\r\nmodel.predict(\r\n    source=<span class=\"hljs-string\">\"input.mp4\"<\/span>,\r\n    conf=<span class=\"hljs-number\">0.4<\/span>,\r\n    iou=<span class=\"hljs-number\">0.5<\/span>,\r\n    save=<span class=\"hljs-literal\">True<\/span>,\r\n    show=<span class=\"hljs-literal\">False<\/span>\r\n)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u067e\u0627\u0631\u0627\u0645\u062a\u0631 <code>iou<\/code> \u062f\u0631 \u06a9\u0646\u062a\u0631\u0644 \u0647\u0645 \u067e\u0648\u0634\u0627\u0646\u06cc \u06a9\u0627\u062f\u0631\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0645\u0648\u062b\u0631 \u0627\u0633\u062a. \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0642\u062f\u0627\u0631 \u0645\u0646\u0627\u0633\u0628 \u0628\u0631\u0627\u06cc <code>conf<\/code> \u0648 <code>iou<\/code> \u0628\u0627\u06cc\u062f \u0628\u0631\u0627\u0633\u0627\u0633 \u062f\u0627\u062f\u0647 Validation \u0648 \u0646\u06cc\u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u062a\u0634\u062e\u06cc\u0635 \u0641\u0642\u0637 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0645\u0634\u062e\u0635<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u0645\u062f\u0644 \u0686\u0646\u062f \u06a9\u0644\u0627\u0633 \u062f\u0627\u0631\u062f\u060c \u0627\u0645\u0627 \u0641\u0642\u0637 \u0628\u0647 \u0628\u0639\u0636\u06cc \u0627\u0632 \u0622\u0646 \u0647\u0627 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u062f\u060c \u0634\u0646\u0627\u0633\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">results = model.predict(\r\n    source=<span class=\"hljs-string\">\"input.mp4\"<\/span>,\r\n    classes=[<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">2<\/span>],\r\n    conf=<span class=\"hljs-number\">0.4<\/span>,\r\n    save=<span class=\"hljs-literal\">True<\/span>\r\n)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0641\u0642\u0637 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0635\u0641\u0631 \u0648 \u062f\u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0634\u0646\u0627\u0633\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0628\u0627\u06cc\u062f \u0628\u0627 \u0641\u0627\u06cc\u0644 <code>data.yaml<\/code> \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0634\u0645\u0627\u0631\u0634 \u0627\u0634\u06cc\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u06a9\u062f \u0632\u06cc\u0631 \u062a\u0639\u062f\u0627\u062f \u0627\u0634\u06cc\u0627\u06cc \u0647\u0631 \u06a9\u0644\u0627\u0633 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> collections <span class=\"hljs-keyword\">import<\/span> Counter\r\n<span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"runs\/custom\/helmet_detector\/weights\/best.pt\"<\/span>)\r\nresult = model(<span class=\"hljs-string\">\"sample.jpg\"<\/span>, conf=<span class=\"hljs-number\">0.4<\/span>)[<span class=\"hljs-number\">0<\/span>]\r\n\r\nclass_names = [\r\n    model.names[<span class=\"hljs-built_in\">int<\/span>(class_id)]\r\n    <span class=\"hljs-keyword\">for<\/span> class_id <span class=\"hljs-keyword\">in<\/span> result.boxes.cls.tolist()\r\n]\r\n\r\ncounts = Counter(class_names)\r\n\r\n<span class=\"hljs-keyword\">for<\/span> class_name, count <span class=\"hljs-keyword\">in<\/span> counts.items():\r\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">f\"<span class=\"hljs-subst\">{class_name}<\/span>: <span class=\"hljs-subst\">{count}<\/span>\"<\/span>)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0634\u0645\u0627\u0631\u0634 \u0627\u0634\u06cc\u0627 \u062f\u0631 \u0648\u06cc\u062f\u06cc\u0648 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0645\u0641\u0647\u0648\u0645 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0646\u06cc\u0632 \u062a\u0648\u062c\u0647 \u06a9\u0631\u062f. \u0634\u0645\u0627\u0631\u0634 \u0633\u0627\u062f\u0647 \u062f\u0631 \u0647\u0631 \u0641\u0631\u06cc\u0645 \u0628\u0627\u0639\u062b \u0645\u06cc \u0634\u0648\u062f \u06cc\u06a9 \u0634\u06cc \u0686\u0646\u062f\u06cc\u0646 \u0628\u0627\u0631 \u0634\u0645\u0631\u062f\u0647 \u0634\u0648\u062f. \u062f\u0631 \u0686\u0646\u06cc\u0646 \u0634\u0631\u0627\u06cc\u0637\u06cc \u0628\u0627\u06cc\u062f \u0628\u0631\u0627\u06cc \u0647\u0631 \u0634\u06cc \u06cc\u06a9 \u0634\u0646\u0627\u0633\u0647 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0627\u06cc\u062c\u0627\u062f \u0634\u0648\u062f \u0648 \u0639\u0628\u0648\u0631 \u0622\u0646 \u0627\u0632 \u062e\u0637 \u06cc\u0627 \u0646\u0627\u062d\u06cc\u0647 \u0645\u0634\u062e\u0635 \u0628\u0631\u0631\u0633\u06cc \u06af\u0631\u062f\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u062e\u0631\u0648\u062c\u06cc \u06af\u0631\u0641\u062a\u0646 \u0627\u0632 \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u062f\u0631 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0641\u0631\u0645\u062a \u0645\u0646\u0627\u0633\u0628 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f. \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u0646\u0647\u060c \u062e\u0631\u0648\u062c\u06cc ONNX \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0633\u0627\u062e\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> ultralytics <span class=\"hljs-keyword\">import<\/span> YOLO\r\n\r\nmodel = YOLO(<span class=\"hljs-string\">\"runs\/custom\/helmet_detector\/weights\/best.pt\"<\/span>)\r\n\r\nmodel.export(\r\n    <span class=\"hljs-built_in\">format<\/span>=<span class=\"hljs-string\">\"onnx\"<\/span>,\r\n    imgsz=<span class=\"hljs-number\">640<\/span>,\r\n    dynamic=<span class=\"hljs-literal\">True<\/span>\r\n)\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0641\u0631\u0645\u062a \u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0646\u0633\u062e\u0647 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0648 \u0645\u062d\u06cc\u0637 \u0627\u062c\u0631\u0627 \u0645\u062a\u0641\u0627\u0648\u062a \u0647\u0633\u062a\u0646\u062f. \u0628\u0631\u062e\u06cc \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0631\u0627\u06cc\u062c \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>ONNX \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0628\u06cc\u0646 \u067e\u0644\u062a\u0641\u0631\u0645\u06cc<\/li>\n<li>TensorRT \u0628\u0631\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0631\u0648\u06cc \u06a9\u0627\u0631\u062a \u0647\u0627\u06cc NVIDIA<\/li>\n<li>CoreML \u0628\u0631\u0627\u06cc \u0645\u062d\u0635\u0648\u0644\u0627\u062a \u0627\u067e\u0644<\/li>\n<li>TFLite \u0628\u0631\u0627\u06cc \u0628\u0639\u0636\u06cc \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u0645\u0648\u0628\u0627\u06cc\u0644 \u0648 \u0644\u0628\u0647<\/li>\n<li>OpenVINO \u0628\u0631\u0627\u06cc \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u0647\u0627\u06cc \u0633\u0627\u0632\u06af\u0627\u0631 \u0627\u06cc\u0646\u062a\u0644<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u067e\u06cc\u0634 \u0627\u0632 \u0627\u0646\u062a\u062e\u0627\u0628 \u0641\u0631\u0645\u062a\u060c \u0645\u0642\u0635\u062f \u0646\u0647\u0627\u06cc\u06cc\u060c \u0633\u06cc\u0633\u062a\u0645 \u0639\u0627\u0645\u0644\u060c \u0646\u0648\u0639 \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647\u060c \u0645\u062d\u062f\u0648\u062f\u06cc\u062a \u062d\u0627\u0641\u0638\u0647\u060c \u0633\u0631\u0639\u062a \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0648 \u0645\u062c\u0648\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0633\u0627\u062e\u062a \u0641\u0627\u06cc\u0644 requirements.txt<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0646\u0635\u0628 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627\u06cc \u067e\u0631\u0648\u0698\u0647 \u0631\u0648\u06cc \u0633\u06cc\u0633\u062a\u0645 \u062f\u06cc\u06af\u0631 \u0633\u0627\u062f\u0647 \u0628\u0627\u0634\u062f\u060c \u0641\u0627\u06cc\u0644 <code>requirements.txt<\/code> \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">ultralytics\r\nopencv-python\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u0633\u067e\u0633 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627 \u0628\u0627 \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0646\u0635\u0628 \u0645\u06cc \u0634\u0648\u0646\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">pip install -r requirements.txt\r\n<\/code><\/pre>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0639\u0645\u0644\u06cc \u0628\u0647\u062a\u0631 \u0627\u0633\u062a \u0646\u0633\u062e\u0647 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u067e\u0633 \u0627\u0632 \u062a\u0633\u062a \u0645\u0634\u062e\u0635 \u0634\u0648\u062f \u062a\u0627 \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc \u0646\u0627\u06af\u0647\u0627\u0646\u06cc\u060c \u0631\u0641\u062a\u0627\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0646\u062f\u0647\u062f:<\/p>\n<div class=\"code-header\"><\/div>\n<pre><code class=\"hljs\">pip freeze &gt; requirements.txt\r\n<\/code><\/pre>\n<h2 dir=\"rtl\" lang=\"fa\">\u062e\u0637\u0627\u0647\u0627\u06cc \u0631\u0627\u06cc\u062c \u0647\u0646\u06af\u0627\u0645 Train \u0645\u062f\u0644 YOLOv8<\/h2>\n<h3 dir=\"rtl\" lang=\"fa\">\u067e\u06cc\u062f\u0627 \u0646\u0634\u062f\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631 \u06cc\u0627 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0645\u0633\u06cc\u0631 \u0627\u0634\u062a\u0628\u0627\u0647 \u062f\u0631 <code>data.yaml<\/code> \u06cc\u0627 \u0633\u0627\u062e\u062a\u0627\u0631 \u0646\u0627\u062f\u0631\u0633\u062a \u067e\u0648\u0634\u0647 \u0647\u0627 \u0631\u062e \u0645\u06cc \u062f\u0647\u062f. \u0645\u0633\u06cc\u0631\u0647\u0627 \u0648 \u0646\u0627\u0645 \u067e\u0648\u0634\u0647 \u0647\u0627\u06cc <code>images<\/code> \u0648 <code>labels<\/code> \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0627\u0634\u062a\u0628\u0627\u0647 \u0628\u0648\u062f\u0646 \u0634\u0646\u0627\u0633\u0647 \u06a9\u0644\u0627\u0633<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u0633\u0647 \u06a9\u0644\u0627\u0633 \u062f\u0627\u0631\u06cc\u062f\u060c \u0634\u0646\u0627\u0633\u0647 \u0647\u0627 \u0628\u0627\u06cc\u062f \u0635\u0641\u0631\u060c \u06cc\u06a9 \u0648 \u062f\u0648 \u0628\u0627\u0634\u0646\u062f. \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0634\u0646\u0627\u0633\u0647 \u062e\u0627\u0631\u062c \u0627\u0632 \u0645\u062d\u062f\u0648\u062f\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0627\u0639\u062b \u062e\u0637\u0627 \u06cc\u0627 \u0622\u0645\u0648\u0632\u0634 \u0646\u0627\u062f\u0631\u0633\u062a \u0634\u0648\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u062e\u0637\u0627\u06cc CUDA out of memory<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06cc\u0646 \u062e\u0637\u0627 \u06cc\u0639\u0646\u06cc \u062d\u0627\u0641\u0638\u0647 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a. \u0631\u0627\u0647\u06a9\u0627\u0631\u0647\u0627\u06cc \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>\u06a9\u0627\u0647\u0634 \u0645\u0642\u062f\u0627\u0631 <code>batch<\/code><\/li>\n<li>\u06a9\u0627\u0647\u0634 \u0645\u0642\u062f\u0627\u0631 <code>imgsz<\/code><\/li>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u06a9\u0648\u0686\u06a9 \u062a\u0631<\/li>\n<li>\u0628\u0633\u062a\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u0635\u0631\u0641 \u06a9\u0646\u0646\u062f\u0647 GPU<\/li>\n<li>\u0627\u062c\u0631\u0627\u06cc Train \u0631\u0648\u06cc \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0642\u0648\u06cc \u062a\u0631<\/li>\n<\/ul>\n<h3 dir=\"rtl\" lang=\"fa\">\u062a\u0634\u062e\u06cc\u0635 \u0647\u0645\u0647 \u0627\u0634\u06cc\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u06a9\u0644\u0627\u0633<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0647 \u062f\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0646\u0627\u0645\u062a\u0648\u0627\u0632\u0646\u060c \u0634\u0628\u0627\u0647\u062a \u0632\u06cc\u0627\u062f \u06a9\u0644\u0627\u0633 \u0647\u0627\u060c \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u0646\u0627\u062f\u0631\u0633\u062a \u06cc\u0627 \u06a9\u0645\u0628\u0648\u062f \u0646\u0645\u0648\u0646\u0647 \u0631\u062e \u062f\u0647\u062f. \u0627\u0628\u062a\u062f\u0627 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0633\u0631\u062f\u0631\u06af\u0645\u06cc \u0648 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0647\u0631 \u06a9\u0644\u0627\u0633 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u062f\u0642\u062a \u0628\u0627\u0644\u0627 \u062f\u0631 Validation \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f \u0636\u0639\u06cc\u0641 \u062f\u0631 \u0645\u062d\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06cc\u0646 \u0648\u0636\u0639\u06cc\u062a \u0645\u0639\u0645\u0648\u0644\u0627 \u0646\u0634\u0627\u0646\u0647 \u062a\u0641\u0627\u0648\u062a \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc Train \u0628\u0627 \u0645\u062d\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc \u06cc\u0627 \u0646\u0634\u062a \u062f\u0627\u062f\u0647 \u0627\u0633\u062a. \u062a\u0635\u0627\u0648\u06cc\u0631 Validation \u0628\u0627\u06cc\u062f \u0645\u0633\u062a\u0642\u0644 \u0628\u0627\u0634\u0646\u062f \u0648 \u0634\u0631\u0627\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc \u062f\u0648\u0631\u0628\u06cc\u0646\u060c \u0646\u0648\u0631\u060c \u0632\u0627\u0648\u06cc\u0647 \u0648 \u067e\u0633 \u0632\u0645\u06cc\u0646\u0647 \u0631\u0627 \u067e\u0648\u0634\u0634 \u062f\u0647\u0646\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0627\u062c\u0631\u0627 \u0646\u0634\u062f\u0646 \u067e\u0646\u062c\u0631\u0647 OpenCV<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u0628\u062f\u0648\u0646 \u0631\u0627\u0628\u0637 \u06af\u0631\u0627\u0641\u06cc\u06a9\u06cc \u0645\u0627\u0646\u0646\u062f \u0628\u0639\u0636\u06cc \u0633\u0631\u0648\u0631\u0647\u0627\u060c <code>cv2.imshow()<\/code> \u06a9\u0627\u0631 \u0646\u0645\u06cc \u06a9\u0646\u062f. \u062f\u0631 \u0627\u06cc\u0646 \u0634\u0631\u0627\u06cc\u0637 \u0646\u062a\u06cc\u062c\u0647 \u0631\u0627 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f \u06cc\u0627 \u0627\u0632 \u0631\u0627\u0628\u0637 \u0648\u0628 \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u062e\u0631\u0648\u062c\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0686\u06af\u0648\u0646\u0647 \u062f\u0642\u062a \u0645\u062f\u0644 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u06cc\u0645\u061f<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0628\u0647\u0628\u0648\u062f \u0646\u062a\u06cc\u062c\u0647\u060c \u0627\u0628\u062a\u062f\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062e\u0631\u0648\u062c\u06cc \u0647\u0627\u06cc Validation \u0648 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u062e\u0637\u0627\u062f\u0627\u0631 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0646\u06cc\u062f. \u0633\u067e\u0633 \u06cc\u06a9\u06cc \u0627\u0632 \u0627\u0642\u062f\u0627\u0645\u0627\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>\u062a\u0635\u0627\u0648\u06cc\u0631 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0645\u062a\u0646\u0648\u0639 \u062a\u0631\u06cc \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u0627\u0634\u062a\u0628\u0627\u0647 \u0631\u0627 \u0627\u0635\u0644\u0627\u062d \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u062a\u0639\u062f\u0627\u062f \u0646\u0645\u0648\u0646\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u06a9\u0645 \u062a\u0639\u062f\u0627\u062f \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u06cc\u062f.<\/li>\n<li>\u062a\u0635\u0627\u0648\u06cc\u0631 \u062a\u0627\u0631 \u06cc\u0627 \u063a\u06cc\u0631\u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0631\u0627 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u0627\u0646\u062f\u0627\u0632\u0647 \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0634\u06cc\u0627\u06cc \u06a9\u0648\u0686\u06a9 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u06cc\u062f.<\/li>\n<li>\u0645\u062f\u0644 \u0628\u0632\u0631\u06af \u062a\u0631\u06cc \u0631\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u062a\u0639\u062f\u0627\u062f Epoch \u0631\u0627 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u0622\u0633\u062a\u0627\u0646\u0647 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0631\u0627 \u0628\u0631\u0627\u0633\u0627\u0633 \u0646\u06cc\u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0633\u062e\u062a \u0648 \u0645\u0648\u0627\u0631\u062f\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u0627\u0634\u062a\u0628\u0627\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0628\u0647 \u062f\u06cc\u062a\u0627\u0633\u062a \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u0645\u062f\u0644 \u0631\u0627 \u0631\u0648\u06cc \u062f\u0633\u062a\u06af\u0627\u0647 \u0648 \u0645\u062d\u06cc\u0637 \u0646\u0647\u0627\u06cc\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f.<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u0641\u0632\u0627\u06cc\u0634 Epoch \u0647\u0645\u06cc\u0634\u0647 \u0628\u0627\u0639\u062b \u0628\u0647\u062a\u0631 \u0634\u062f\u0646 \u0645\u062f\u0644 \u0646\u0645\u06cc \u0634\u0648\u062f. \u0627\u062f\u0627\u0645\u0647 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0622\u0645\u0648\u0632\u0634 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0645\u062f\u0644 \u0631\u0627 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc Train \u0648\u0627\u0628\u0633\u062a\u0647 \u06a9\u0646\u062f \u0648 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u062a\u0639\u0645\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u06a9\u0627\u0647\u0634 \u062f\u0647\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0646\u06a9\u0627\u062a \u0627\u0645\u0646\u06cc\u062a\u06cc \u0648 \u0639\u0645\u0644\u06cc \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062a\u062c\u0627\u0631\u06cc<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u06cc\u06a9 \u0645\u062f\u0644 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0642\u0628\u0644 \u0627\u0632 \u0648\u0631\u0648\u062f \u0628\u0647 \u0645\u062d\u06cc\u0637 \u0639\u0645\u0644\u06cc \u0628\u0627\u06cc\u062f \u0627\u0632 \u0646\u0638\u0631 \u0641\u0646\u06cc \u0648 \u062d\u0642\u0648\u0642\u06cc \u0628\u0631\u0631\u0633\u06cc \u0634\u0648\u062f. \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639 \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0627\u0641\u0631\u0627\u062f\u060c \u0645\u062d\u06cc\u0637 \u06a9\u0627\u0631\u060c \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0634\u062a\u0631\u06cc\u0627\u0646 \u06cc\u0627 \u062a\u062c\u0647\u06cc\u0632\u0627\u062a \u062d\u0633\u0627\u0633 \u0631\u0627 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u06a9\u0646\u0646\u062f \u0627\u0647\u0645\u06cc\u062a \u0628\u06cc\u0634\u062a\u0631\u06cc \u062f\u0627\u0631\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0648\u0627\u0631\u062f \u0645\u0647\u0645 \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>\u0628\u0631\u0631\u0633\u06cc \u0645\u062c\u0648\u0632 Ultralytics \u0648 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627\u06cc \u067e\u0631\u0648\u0698\u0647<\/li>\n<li>\u062f\u0631\u06cc\u0627\u0641\u062a \u0631\u0636\u0627\u06cc\u062a \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0627\u0641\u0631\u0627\u062f<\/li>\n<li>\u062a\u0639\u06cc\u06cc\u0646 \u0633\u06cc\u0627\u0633\u062a \u0646\u06af\u0647\u062f\u0627\u0631\u06cc \u0648 \u062d\u0630\u0641 \u062a\u0635\u0627\u0648\u06cc\u0631<\/li>\n<li>\u0631\u0645\u0632\u0646\u06af\u0627\u0631\u06cc \u0627\u0631\u062a\u0628\u0627\u0637 \u0645\u06cc\u0627\u0646 \u062f\u0648\u0631\u0628\u06cc\u0646\u060c \u0633\u0631\u0648\u0631 \u0648 API<\/li>\n<li>\u062b\u0628\u062a \u062e\u0637\u0627\u0647\u0627 \u0628\u062f\u0648\u0646 \u0630\u062e\u06cc\u0631\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062d\u0633\u0627\u0633 \u063a\u06cc\u0631\u0636\u0631\u0648\u0631\u06cc<\/li>\n<li>\u06a9\u0646\u062a\u0631\u0644 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u0645\u062f\u0644 \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627<\/li>\n<li>\u0628\u0631\u0631\u0633\u06cc \u062e\u0637\u0627\u0647\u0627\u06cc \u0645\u062f\u0644 \u062f\u0631 \u06af\u0631\u0648\u0647 \u0647\u0627 \u0648 \u0634\u0631\u0627\u06cc\u0637 \u0645\u062e\u062a\u0644\u0641<\/li>\n<li>\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0631\u0641\u062a\u0627\u0631 \u0633\u06cc\u0633\u062a\u0645 \u062f\u0631 \u0632\u0645\u0627\u0646 \u0642\u0637\u0639 \u062f\u0648\u0631\u0628\u06cc\u0646 \u06cc\u0627 \u0633\u0631\u0648\u0631<\/li>\n<li>\u0646\u0638\u0627\u0631\u062a \u0627\u0646\u0633\u0627\u0646\u06cc \u062f\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u062d\u0633\u0627\u0633<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">Ultralytics \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u062c\u0648\u0632 \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u06a9\u0646\u062f. \u067e\u06cc\u0634 \u0627\u0632 \u0639\u0631\u0636\u0647 \u0645\u062d\u0635\u0648\u0644 \u06cc\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0633\u0627\u0632\u0645\u0627\u0646\u06cc\u060c \u0634\u0631\u0627\u06cc\u0637 \u0631\u0648\u0632 \u0645\u062c\u0648\u0632 \u0631\u0627 \u062f\u0631 <a href=\"https:\/\/www.ultralytics.com\/license\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">\u0635\u0641\u062d\u0647 \u0645\u062c\u0648\u0632 Ultralytics<\/a> \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 YOLOv8<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646\u0648\u0639\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f:<\/p>\n<ul dir=\"rtl\" lang=\"fa\">\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0644\u0627\u0647 \u0648 \u062a\u062c\u0647\u06cc\u0632\u0627\u062a \u0627\u06cc\u0645\u0646\u06cc<\/li>\n<li>\u0634\u0645\u0627\u0631\u0634 \u0645\u062d\u0635\u0648\u0644\u0627\u062a \u0631\u0648\u06cc \u062e\u0637 \u062a\u0648\u0644\u06cc\u062f<\/li>\n<li>\u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0646\u0642\u0635 \u0638\u0627\u0647\u0631\u06cc \u06a9\u0627\u0644\u0627<\/li>\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0648 \u0634\u0645\u0627\u0631\u0634 \u062e\u0648\u062f\u0631\u0648<\/li>\n<li>\u0645\u062f\u06cc\u0631\u06cc\u062a \u0641\u0636\u0627\u06cc \u067e\u0627\u0631\u06a9\u06cc\u0646\u06af<\/li>\n<li>\u062a\u062d\u0644\u06cc\u0644 \u062a\u0631\u062f\u062f \u0627\u0641\u0631\u0627\u062f<\/li>\n<li>\u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0622\u0641\u0627\u062a \u0648 \u0628\u06cc\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u06af\u06cc\u0627\u0647\u06cc<\/li>\n<li>\u06a9\u0646\u062a\u0631\u0644 \u0645\u0648\u062c\u0648\u062f\u06cc \u0641\u0631\u0648\u0634\u06af\u0627\u0647<\/li>\n<li>\u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0627\u0648\u06cc\u0631 \u067e\u0632\u0634\u06a9\u06cc \u0628\u0627 \u0646\u0638\u0627\u0631\u062a \u0645\u062a\u062e\u0635\u0635<\/li>\n<li>\u0633\u0627\u062e\u062a \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062f\u0648\u0631\u0628\u06cc\u0646<\/li>\n<li>\u0646\u0638\u0627\u0631\u062a \u062a\u0635\u0648\u06cc\u0631\u06cc \u0647\u0648\u0634\u0645\u0646\u062f<\/li>\n<li>\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0648 \u06a9\u0646\u062a\u0631\u0644 \u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u062d\u0635\u0648\u0644\u0627\u062a<\/li>\n<\/ul>\n<p dir=\"rtl\" lang=\"fa\">\u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0645\u0639\u0645\u0648\u0644\u0627 \u062e\u0648\u062f \u0645\u062f\u0644 \u062a\u0646\u0647\u0627 \u0628\u062e\u0634\u06cc \u0627\u0632 \u0633\u0627\u0645\u0627\u0646\u0647 \u0627\u0633\u062a. \u0628\u062e\u0634 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631\u06cc \u0645\u0627\u0646\u0646\u062f API\u060c \u067e\u0646\u0644 \u0645\u062f\u06cc\u0631\u06cc\u062a\u060c \u067e\u0627\u06cc\u06af\u0627\u0647 \u062f\u0627\u062f\u0647\u060c \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u0645\u0648\u0628\u0627\u06cc\u0644\u060c \u06af\u0632\u0627\u0631\u0634 \u06af\u06cc\u0631\u06cc \u0648 \u0632\u06cc\u0631\u0633\u0627\u062e\u062a \u067e\u0631\u062f\u0627\u0632\u0634 \u0646\u06cc\u0632 \u0628\u0627\u06cc\u062f \u0637\u0631\u0627\u062d\u06cc \u0634\u0648\u0646\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u0637\u0631\u0627\u062d\u06cc \u06cc\u06a9 \u0633\u0627\u0645\u0627\u0646\u0647 \u06a9\u0627\u0645\u0644 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0639\u0645\u0627\u0631\u06cc \u06cc\u06a9 \u0633\u0627\u0645\u0627\u0646\u0647 \u0639\u0645\u0644\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0627\u0632 \u0627\u062c\u0632\u0627\u06cc \u0632\u06cc\u0631 \u062a\u0634\u06a9\u06cc\u0644 \u0634\u0648\u062f:<\/p>\n<ol dir=\"rtl\" lang=\"fa\">\n<li>\u062f\u0648\u0631\u0628\u06cc\u0646 \u06cc\u0627 \u0645\u0646\u0628\u0639 \u062f\u0631\u06cc\u0627\u0641\u062a \u062a\u0635\u0648\u06cc\u0631<\/li>\n<li>\u0645\u0627\u0698\u0648\u0644 \u062f\u0631\u06cc\u0627\u0641\u062a \u0648 \u06a9\u0627\u0647\u0634 \u0646\u0631\u062e \u0641\u0631\u06cc\u0645<\/li>\n<li>\u0645\u062f\u0644 YOLOv8 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0646\u062a\u0627\u062c<\/li>\n<li>\u0645\u0627\u0698\u0648\u0644 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0648 \u0634\u0645\u0627\u0631\u0634<\/li>\n<li>\u0645\u0646\u0637\u0642 \u062a\u062c\u0627\u0631\u06cc \u0648 \u062a\u0639\u0631\u06cc\u0641 \u0647\u0634\u062f\u0627\u0631<\/li>\n<li>API \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0646\u062a\u0627\u06cc\u062c<\/li>\n<li>\u067e\u0627\u06cc\u06af\u0627\u0647 \u062f\u0627\u062f\u0647<\/li>\n<li>\u067e\u0646\u0644 \u062a\u062d\u062a \u0648\u0628 \u06cc\u0627 \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u0645\u0648\u0628\u0627\u06cc\u0644<\/li>\n<li>\u0633\u06cc\u0633\u062a\u0645 \u062b\u0628\u062a \u0631\u0648\u06cc\u062f\u0627\u062f \u0648 \u067e\u0627\u06cc\u0634 \u0639\u0645\u0644\u06a9\u0631\u062f<\/li>\n<\/ol>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644\u060c \u062f\u0631 \u0633\u0627\u0645\u0627\u0646\u0647 \u06a9\u0646\u062a\u0631\u0644 \u062a\u062c\u0647\u06cc\u0632\u0627\u062a \u0627\u06cc\u0645\u0646\u06cc\u060c \u0645\u062f\u0644 \u062d\u0636\u0648\u0631 \u0641\u0631\u062f\u060c \u06a9\u0644\u0627\u0647 \u0648 \u062c\u0644\u06cc\u0642\u0647 \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc \u062f\u0647\u062f. \u0633\u067e\u0633 \u0645\u0646\u0637\u0642 \u0628\u0631\u0646\u0627\u0645\u0647 \u0627\u0631\u062a\u0628\u0627\u0637 \u0645\u06cc\u0627\u0646 \u0627\u0634\u06cc\u0627 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0648 \u062f\u0631 \u0635\u0648\u0631\u062a \u0646\u0628\u0648\u062f \u062a\u062c\u0647\u06cc\u0632\u0627\u062a\u060c \u0631\u0648\u06cc\u062f\u0627\u062f \u062b\u0628\u062a \u0645\u06cc \u0634\u0648\u062f. \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0648\u062c\u0648\u062f \u0647\u0631 \u06a9\u0644\u0627\u0633 \u062f\u0631 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0647 \u062a\u0646\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u062a\u0635\u0645\u06cc\u0645 \u06af\u06cc\u0631\u06cc \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u062a\u06cc\u0645 \u0637\u0631\u0627\u062d\u0627\u0646 \u0646\u0648\u06cc\u0646 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u062d\u0648\u0632\u0647 \u0641\u0639\u0627\u0644\u06cc\u062a \u062e\u0648\u062f \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0631 \u0637\u0631\u0627\u062d\u06cc \u0628\u062e\u0634 \u0647\u0627\u06cc \u0645\u06a9\u0645\u0644 \u0686\u0646\u06cc\u0646 \u0633\u0627\u0645\u0627\u0646\u0647 \u0647\u0627\u06cc\u06cc\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u062f\u0633\u06a9\u062a\u0627\u067e\u060c \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u0645\u0648\u0628\u0627\u06cc\u0644\u060c \u067e\u0646\u0644 \u062a\u062d\u062a \u0648\u0628\u060c API \u0648 \u0631\u0627\u0628\u0637 \u06a9\u0627\u0631\u0628\u0631\u06cc \u067e\u0631\u0648\u0698\u0647 \u0646\u0642\u0634 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f. \u062a\u0639\u0631\u06cc\u0641 \u062f\u0642\u06cc\u0642 \u0646\u06cc\u0627\u0632\u060c \u0645\u062d\u062f\u0648\u062f\u06cc\u062a \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0648 \u0645\u0639\u06cc\u0627\u0631 \u0645\u0648\u0641\u0642\u06cc\u062a \u0628\u0627\u06cc\u062f \u067e\u06cc\u0634 \u0627\u0632 \u0634\u0631\u0648\u0639 \u062a\u0648\u0633\u0639\u0647 \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\"><\/h2>\n<h3 dir=\"rtl\" lang=\"fa\">\u0622\u06cc\u0627 YOLOv8 \u0628\u062f\u0648\u0646 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 \u0627\u062c\u0631\u0627 \u0645\u06cc \u0634\u0648\u062f\u061f<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0644\u0647. \u0627\u0645\u06a9\u0627\u0646 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0648 \u062d\u062a\u06cc Train \u0631\u0648\u06cc \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 \u0645\u0631\u06a9\u0632\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u0627\u0645\u0627 \u0622\u0645\u0648\u0632\u0634 \u0631\u0648\u06cc CPU \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0646\u062f\u062a\u0631 \u0627\u0633\u062a. \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0627\u0648\u0644\u06cc\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u0645\u062f\u0644 YOLOv8n \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0628\u0631\u0627\u06cc Train \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0628\u0647 \u0686\u0646\u062f \u062a\u0635\u0648\u06cc\u0631 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645\u061f<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0639\u062f\u062f \u062b\u0627\u0628\u062a\u06cc \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f. \u062a\u0646\u0648\u0639 \u062f\u0627\u062f\u0647\u060c \u062a\u0639\u062f\u0627\u062f \u06a9\u0644\u0627\u0633 \u0647\u0627\u060c \u0627\u0646\u062f\u0627\u0632\u0647 \u0627\u0634\u06cc\u0627 \u0648 \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0645\u062d\u06cc\u0637 \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0646\u0646\u062f\u0647 \u0647\u0633\u062a\u0646\u062f. \u0628\u0647\u062a\u0631 \u0627\u0633\u062a \u0628\u0627 \u0686\u0646\u062f \u0635\u062f \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627\u06a9\u06cc\u0641\u06cc\u062a \u0646\u0645\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0647 \u0628\u0633\u0627\u0632\u06cc\u062f\u060c \u062e\u0637\u0627\u0647\u0627 \u0631\u0627 \u062a\u062d\u0644\u06cc\u0644 \u06a9\u0646\u06cc\u062f \u0648 \u0633\u067e\u0633 \u062f\u06cc\u062a\u0627\u0633\u062a \u0631\u0627 \u0647\u062f\u0641\u0645\u0646\u062f \u06af\u0633\u062a\u0631\u0634 \u062f\u0647\u06cc\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u062a\u0641\u0627\u0648\u062a YOLOv8n \u0648 YOLOv8x \u0686\u06cc\u0633\u062a\u061f<\/h3>\n<p dir=\"rtl\" lang=\"fa\">YOLOv8n \u06a9\u0648\u0686\u06a9 \u062a\u0631 \u0648 \u0633\u0631\u06cc\u0639 \u062a\u0631 \u0627\u0633\u062a \u0648 \u0645\u0646\u0627\u0628\u0639 \u06a9\u0645\u062a\u0631\u06cc \u0645\u0635\u0631\u0641 \u0645\u06cc \u06a9\u0646\u062f. YOLOv8x \u0638\u0631\u0641\u06cc\u062a \u0628\u06cc\u0634\u062a\u0631\u06cc \u062f\u0627\u0631\u062f\u060c \u0627\u0645\u0627 \u0628\u0647 \u062d\u0627\u0641\u0638\u0647 \u0648 \u062a\u0648\u0627\u0646 \u067e\u0631\u062f\u0627\u0632\u0634\u06cc \u0628\u0627\u0644\u0627\u062a\u0631\u06cc \u0646\u06cc\u0627\u0632 \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a. \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644 \u0628\u0627\u06cc\u062f \u0628\u0631\u0627\u0633\u0627\u0633 \u062a\u0648\u0627\u0632\u0646 \u0633\u0631\u0639\u062a \u0648 \u062f\u0642\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0622\u06cc\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u0631\u0648\u0698\u0647 \u0628\u0627\u06cc\u062f \u0645\u062f\u0644 \u0631\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 Train \u06a9\u0646\u06cc\u0645\u061f<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u062f\u0631 \u0645\u062f\u0644 \u0622\u0645\u0627\u062f\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f \u0648 \u062f\u0642\u062a \u0622\u0646 \u06a9\u0627\u0641\u06cc \u0628\u0627\u0634\u062f\u060c \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 Train \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0646\u06cc\u0633\u062a. \u0628\u0631\u0627\u06cc \u0627\u0634\u06cc\u0627\u06cc \u062a\u062e\u0635\u0635\u06cc \u06cc\u0627 \u0634\u0631\u0627\u06cc\u0637 \u0645\u062a\u0641\u0627\u0648\u062a\u060c \u0622\u0645\u0648\u0632\u0634 \u06cc\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u062f\u0644 \u0631\u0648\u06cc \u062f\u06cc\u062a\u0627\u0633\u062a \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0686\u0631\u0627 \u0645\u062f\u0644 \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 Train \u062e\u0648\u0628 \u0648 \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u062c\u062f\u06cc\u062f \u0636\u0639\u06cc\u0641 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f\u061f<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0647\u0645 \u062a\u0631\u06cc\u0646 \u062f\u0644\u0627\u06cc\u0644 \u0634\u0627\u0645\u0644 \u0628\u06cc\u0634 \u0628\u0631\u0627\u0632\u0634\u060c \u0646\u0634\u062a \u062f\u0627\u062f\u0647\u060c \u06a9\u0645\u0628\u0648\u062f \u062a\u0646\u0648\u0639 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u062a\u0641\u0627\u0648\u062a \u0645\u062d\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc \u0628\u0627 \u062f\u06cc\u062a\u0627\u0633\u062a \u0647\u0633\u062a\u0646\u062f. \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0633\u062a\u0642\u0644 \u0648 \u0634\u0631\u0627\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0622\u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0645\u062f\u0644 YOLOv8 \u0631\u0627 \u062f\u0631 \u0627\u0646\u062f\u0631\u0648\u06cc\u062f \u06cc\u0627 iOS \u0627\u062c\u0631\u0627 \u06a9\u0631\u062f\u061f<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0644\u0647\u060c \u0627\u0645\u0627 \u0645\u062f\u0644 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0641\u0631\u0645\u062a \u0633\u0627\u0632\u06af\u0627\u0631 \u062a\u0628\u062f\u06cc\u0644 \u0648 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u06af\u0627\u0647 \u0645\u0642\u0635\u062f \u0628\u0647\u06cc\u0646\u0647 \u0634\u0648\u062f. \u062d\u062c\u0645 \u0645\u062f\u0644\u060c \u062d\u0627\u0641\u0638\u0647 \u062f\u0633\u062a\u06af\u0627\u0647\u060c \u0633\u0631\u0639\u062a \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 \u0648 \u0645\u0635\u0631\u0641 \u0628\u0627\u062a\u0631\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u062a\u0635\u0645\u06cc\u0645 \u0627\u0647\u0645\u06cc\u062a \u062f\u0627\u0631\u0646\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0622\u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u062e\u0631\u0648\u062c\u06cc YOLOv8 \u0631\u0627 \u0628\u0647 API \u0645\u062a\u0635\u0644 \u06a9\u0631\u062f\u061f<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0628\u0644\u0647. \u0645\u06cc \u062a\u0648\u0627\u0646 \u0645\u062f\u0644 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0633\u0631\u0648\u06cc\u0633 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0627\u0646\u0646\u062f FastAPI \u0627\u062c\u0631\u0627 \u06a9\u0631\u062f \u0648 \u062a\u0635\u0648\u06cc\u0631 \u06cc\u0627 \u0648\u06cc\u062f\u06cc\u0648 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 API \u062f\u0631\u06cc\u0627\u0641\u062a \u0646\u0645\u0648\u062f. \u0628\u0631\u0627\u06cc \u0645\u062d\u06cc\u0637 \u0639\u0645\u0644\u06cc \u0628\u0627\u06cc\u062f \u0645\u062f\u06cc\u0631\u06cc\u062a \u0647\u0645\u0632\u0645\u0627\u0646\u06cc \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0647\u0627\u060c \u0627\u0645\u0646\u06cc\u062a\u060c \u0645\u062d\u062f\u0648\u062f\u06cc\u062a \u062d\u062c\u0645 \u0641\u0627\u06cc\u0644 \u0648 \u067e\u0627\u06cc\u0634 \u0645\u0646\u0627\u0628\u0639 \u0646\u06cc\u0632 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u0648\u062f.<\/p>\n<h3 dir=\"rtl\" lang=\"fa\">\u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 Epoch \u0628\u0631\u0627\u06cc Train \u0686\u06cc\u0633\u062a\u061f<\/h3>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0642\u062f\u0627\u0631 \u06cc\u06a9\u0633\u0627\u0646\u06cc \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f. \u062a\u0639\u062f\u0627\u062f Epoch \u0628\u0627\u06cc\u062f \u0628\u0631\u0627\u0633\u0627\u0633 \u0627\u0646\u062f\u0627\u0632\u0647 \u062f\u06cc\u062a\u0627\u0633\u062a\u060c \u0631\u0648\u0646\u062f \u06a9\u0627\u0647\u0634 \u062e\u0637\u0627\u060c \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc Validation \u0648 \u062a\u0648\u0642\u0641 \u0632\u0648\u062f\u0647\u0646\u06af\u0627\u0645 \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u0648\u062f. \u0628\u06cc\u0634\u062a\u0631 \u0628\u0648\u062f\u0646 \u062a\u0639\u062f\u0627\u062f Epoch \u0644\u0632\u0648\u0645\u0627 \u0628\u0647 \u0645\u0639\u0646\u06cc \u0645\u062f\u0644 \u0628\u0647\u062a\u0631 \u0646\u06cc\u0633\u062a.<\/p>\n<h2 dir=\"rtl\" lang=\"fa\">\u062c\u0645\u0639 \u0628\u0646\u062f\u06cc<\/h2>\n<p dir=\"rtl\" lang=\"fa\">\u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 YOLOv8 \u0634\u0627\u0645\u0644 \u0686\u0646\u062f \u0645\u0631\u062d\u0644\u0647 \u0627\u0635\u0644\u06cc \u0627\u0633\u062a: \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644\u060c \u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u060c \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0648 \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u062f\u06cc\u062a\u0627\u0633\u062a\u060c \u0633\u0627\u062e\u062a \u0641\u0627\u06cc\u0644 <code>data.yaml<\/code>\u060c \u0627\u062c\u0631\u0627\u06cc Train\u060c \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0648\u0632\u0646 <code>best.pt<\/code> \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0647\u0627\u06cc\u06cc.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0627\u06af\u0631 \u0647\u062f\u0641 \u0634\u0645\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u06cc \u0639\u0645\u0648\u0645\u06cc \u0628\u0627\u0634\u062f\u060c \u0645\u062f\u0644 \u0647\u0627\u06cc \u0622\u0645\u0627\u062f\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u062f\u0648\u0646 Train \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u0646\u062f. \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0645\u062d\u0635\u0648\u0644\u0627\u062a\u060c \u0642\u0637\u0639\u0627\u062a \u06cc\u0627 \u0627\u0634\u06cc\u0627\u06cc \u062a\u062e\u0635\u0635\u06cc \u0628\u0627\u06cc\u062f \u062f\u06cc\u062a\u0627\u0633\u062a \u0645\u062a\u0646\u0627\u0633\u0628 \u0628\u0627 \u0645\u062d\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc \u062a\u0647\u06cc\u0647 \u0648 \u0645\u062f\u0644 \u0631\u0648\u06cc \u0622\u0646 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0634\u0648\u062f.<\/p>\n<p dir=\"rtl\" lang=\"fa\">\u0645\u0648\u0641\u0642\u06cc\u062a \u067e\u0631\u0648\u0698\u0647 \u0628\u06cc\u0634 \u0627\u0632 \u0647\u0631 \u0686\u06cc\u0632 \u0628\u0647 \u06a9\u06cc\u0641\u06cc\u062a \u062f\u0627\u062f\u0647\u060c \u062a\u0639\u0631\u06cc\u0641 \u0635\u062d\u06cc\u062d \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062f\u0642\u06cc\u0642 \u0648\u0627\u0628\u0633\u062a\u0647 \u0627\u0633\u062a. \u067e\u0633 \u0627\u0632 \u0622\u0645\u0627\u062f\u0647 \u0634\u062f\u0646 \u0645\u062f\u0644 \u0646\u06cc\u0632 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u062f\u0633\u06a9\u062a\u0627\u067e\u060c \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u0645\u0648\u0628\u0627\u06cc\u0644\u060c \u067e\u0646\u0644 \u062a\u062d\u062a \u0648\u0628 \u06cc\u0627 \u0633\u0627\u0645\u0627\u0646\u0647 \u0646\u0638\u0627\u0631\u062a \u062a\u0635\u0648\u06cc\u0631\u06cc \u0627\u062f\u063a\u0627\u0645 \u06a9\u0631\u062f. \u0628\u0631\u0627\u06cc \u0637\u0631\u0627\u062d\u06cc \u0648 \u062a\u0648\u0633\u0639\u0647 \u0628\u062e\u0634 \u0647\u0627\u06cc \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631\u06cc \u0686\u0646\u06cc\u0646 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u0641\u0646\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u062a\u06cc\u0645 \u0637\u0631\u0627\u062d\u0627\u0646 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\u0628\u0631\u0627\u06cc \u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u06cc\u06a9 \u0648\u06cc\u0631\u0627\u06cc\u0634\u06af\u0631 \u0645\u0627\u0646\u0646\u062f VS Code \u06cc\u0627 PyCharm \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Ultralytics \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 OpenCV \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc Train \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 NVIDIA \u0628\u0647 \u0635\u0648\u0631\u062a \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0627\u0644\u0632\u0627\u0645\u06cc \u0646\u06cc\u0633\u062a\u060c \u0627\u0645\u0627 \u0633\u0631\u0639\u062a \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0645\u062d\u0633\u0648\u0633\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc \u062f\u0647\u062f. \u0627\u06af\u0631 \u0633\u06cc\u0633\u062a\u0645 \u0645\u0646\u0627\u0633\u0628\u06cc \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u0646\u062f\u0627\u0631\u06cc\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 Google Colab \u06cc\u0627 \u0633\u0631\u0648\u0631 \u062f\u0627\u0631\u0627\u06cc GPU \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f. \u0633\u0627\u062e\u062a \u0645\u062d\u06cc\u0637 \u067e\u0631\u0648\u0698\u0647 YOLOv8 \u0627\u0628\u062a\u062f\u0627 \u06cc\u06a9 \u067e\u0648\u0634\u0647 \u0628\u0631\u0627\u06cc \u067e\u0631\u0648\u0698\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f: mkdir yolo-object-detection cd yolo-object-detection \u0633\u067e\u0633 \u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f: python -m venv venv \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc \u062f\u0631 \u0648\u06cc\u0646\u062f\u0648\u0632: venv\\Scripts\\activate \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u062f\u0631 \u0644\u06cc\u0646\u0648\u06a9\u0633 \u0648 macOS: source venv\/bin\/activate \u0627\u06a9\u0646\u0648\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f: pip install ultralytics opencv-python \u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u0646\u0635\u0628 \u0635\u062d\u06cc\u062d Ultralytics \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f: yolo checks \u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0633\u062e\u0647 \u0646\u0635\u0628 \u0634\u062f\u0647 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f: import ultralytics print(ultralytics.__version__) \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644 \u0645\u0646\u0627\u0633\u0628 YOLOv8 \u0645\u062f\u0644 \u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc YOLOv8 \u062f\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f: \u0645\u062f\u0644 \u0633\u0631\u0639\u062a \u062f\u0642\u062a \u0646\u0633\u0628\u06cc \u0645\u0635\u0631\u0641 \u0645\u0646\u0627\u0628\u0639 \u06a9\u0627\u0631\u0628\u0631\u062f \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc YOLOv8n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627 \u067e\u0627\u06cc\u0647 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0645 \u0645\u0648\u0628\u0627\u06cc\u0644\u060c \u0648\u0628 \u06a9\u0645 \u0648 \u0633\u06cc\u0633\u062a\u0645 \u0636\u0639\u06cc\u0641 YOLOv8s \u0628\u0627\u0644\u0627 \u0645\u0646\u0627\u0633\u0628 \u06a9\u0645 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0633\u0628\u06a9 \u0648 \u0646\u0645\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0647 YOLOv8m \u0645\u062a\u0648\u0633\u0637 \u0628\u0647\u062a\u0631 \u0645\u062a\u0648\u0633\u0637 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0639\u0645\u0648\u0645\u06cc YOLOv8l \u06a9\u0645\u062a\u0631 \u0628\u0627\u0644\u0627 \u0632\u06cc\u0627\u062f \u0633\u0631\u0648\u0631 \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0642\u06cc\u0642 \u062a\u0631 YOLOv8x \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0628\u0627\u0644\u0627\u062a\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0632\u06cc\u0627\u062f \u0633\u06cc\u0633\u062a\u0645 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0622\u0641\u0644\u0627\u06cc\u0646 \u062d\u0631\u0641 n \u062f\u0631 \u0646\u0627\u0645 \u0645\u062f\u0644 \u0628\u0647 Nano\u060c \u062d\u0631\u0641 s \u0628\u0647 Small\u060c \u062d\u0631\u0641 m \u0628\u0647 Medium\u060c \u062d\u0631\u0641 l \u0628\u0647 Large \u0648 \u062d\u0631\u0641 x \u0628\u0647 Extra Large \u0627\u0634\u0627\u0631\u0647 \u062f\u0627\u0631\u062f. \u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639\u060c \u0645\u062f\u0644 yolov8n.pt \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0646\u0627\u0633\u0628\u06cc \u0627\u0633\u062a\u061b \u0632\u06cc\u0631\u0627 \u062d\u062c\u0645 \u06a9\u0645\u06cc \u062f\u0627\u0631\u062f \u0648 \u0633\u0631\u06cc\u0639 \u0627\u062c\u0631\u0627 \u0645\u06cc \u0634\u0648\u062f. \u067e\u0633 \u0627\u0632 \u062a\u06a9\u0645\u06cc\u0644 \u0646\u0645\u0648\u0646\u0647 \u0627\u0648\u0644\u06cc\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u062a\u0631 \u0631\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f. \u0627\u062c\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0646 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 \u0645\u062f\u0644 \u0622\u0645\u0627\u062f\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0622\u0645\u0627\u062f\u0647 YOLOv8 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 COCO \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0646\u062f \u0648 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u062a\u0634\u062e\u06cc\u0635 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0639\u0645\u0648\u0645\u06cc \u0645\u0627\u0646\u0646\u062f \u0627\u0646\u0633\u0627\u0646\u060c \u062e\u0648\u062f\u0631\u0648\u060c \u0627\u062a\u0648\u0628\u0648\u0633\u060c \u06af\u0631\u0628\u0647\u060c \u0633\u06af\u060c \u062f\u0648\u0686\u0631\u062e\u0647 \u0648 \u0635\u0646\u062f\u0644\u06cc \u0631\u0627 \u062f\u0627\u0631\u0646\u062f. \u0641\u0627\u06cc\u0644 \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0627 \u0646\u0627\u0645 predict_image.py \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f: from ultralytics import YOLO model = YOLO(&#8220;yolov8n.pt&#8221;) results = model.predict( source=&#8221;test.jpg&#8221;, conf=0.4, save=True ) print(results) \u062f\u0631 \u0627\u0648\u0644\u06cc\u0646 \u0627\u062c\u0631\u0627\u060c \u0641\u0627\u06cc\u0644 \u0648\u0632\u0646 \u0645\u062f\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u062e\u0648\u062f\u06a9\u0627\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u0645\u06cc \u0634\u0648\u062f. \u062a\u0635\u0648\u06cc\u0631 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u062f\u0647 \u0646\u06cc\u0632 \u062f\u0631 \u0645\u0633\u06cc\u0631 runs\/detect\/predict \u0630\u062e\u06cc\u0631\u0647 \u062e\u0648\u0627\u0647\u062f \u0634\u062f. \u067e\u0627\u0631\u0627\u0645\u062a\u0631 conf \u062d\u062f\u0627\u0642\u0644 \u0645\u06cc\u0632\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0631\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u062f. \u0627\u06af\u0631 \u0645\u0642\u062f\u0627\u0631 \u0622\u0646 \u0628\u0631\u0627\u0628\u0631 0.4 \u0628\u0627\u0634\u062f\u060c \u062a\u0634\u062e\u06cc\u0635 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u06a9\u0645\u062a\u0631 \u0627\u0632 40 \u062f\u0631\u0635\u062f \u062f\u0627\u0631\u0646\u062f \u06a9\u0646\u0627\u0631 \u06af\u0630\u0627\u0634\u062a\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0646\u0645\u0627\u06cc\u0634 \u0646\u062a\u06cc\u062c\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0628\u0627 OpenCV \u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0646\u062a\u06cc\u062c\u0647 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u067e\u0646\u062c\u0631\u0647 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0647\u06cc\u0645\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 OpenCV \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645: import cv2 from ultralytics import YOLO model = YOLO(&#8220;yolov8n.pt&#8221;) results = model.predict(source=&#8221;test.jpg&#8221;, conf=0.4) annotated_frame = results[0].plot() cv2.imshow(&#8220;YOLOv8 Detection&#8221;, annotated_frame) cv2.waitKey(0) cv2.destroyAllWindows() \u0645\u062a\u062f plot() \u06a9\u0627\u062f\u0631\u0647\u0627\u060c \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0648 \u0645\u06cc\u0632\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0631\u0648\u06cc \u062a\u0635\u0648\u06cc\u0631 \u062a\u0631\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f. \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0627\u0634\u06cc\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647 \u062f\u0631 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627 \u0641\u0642\u0637 \u0646\u0645\u0627\u06cc\u0634 \u062a\u0635\u0648\u06cc\u0631 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a. \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0645\u062e\u062a\u0635\u0627\u062a\u060c \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0648 \u0645\u06cc\u0632\u0627\u0646 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0647\u0631 \u0634\u06cc \u0631\u0627 \u062f\u0631 \u067e\u0627\u06cc\u06af\u0627\u0647 \u062f\u0627\u062f\u0647 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u0645 \u06cc\u0627 \u0628\u0631\u0627\u06cc \u0628\u062e\u0634 \u062f\u06cc\u06af\u0631\u06cc \u0627\u0632 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u0645. from ultralytics import YOLO model = YOLO(&#8220;yolov8n.pt&#8221;) result = model(&#8220;test.jpg&#8221;)[0] for box in result.boxes: class_id = int(box.cls[0]) confidence = float(box.conf[0]) x1, y1, x2, y2 = box.xyxy[0].tolist() class_name = model.names[class_id] print({ &#8220;class_id&#8221;: class_id, &#8220;class_name&#8221;: class_name, &#8220;confidence&#8221;: round(confidence, 3), &#8220;box&#8221;: [x1, y1, x2, y2] }) \u0645\u062e\u062a\u0635\u0627\u062a x1 \u0648 y1 \u06af\u0648\u0634\u0647 \u0628\u0627\u0644\u0627 \u0648 \u0633\u0645\u062a \u0686\u067e \u06a9\u0627\u062f\u0631 \u0647\u0633\u062a\u0646\u062f. \u0645\u0642\u0627\u062f\u06cc\u0631 x2 \u0648 y2 \u0646\u06cc\u0632 \u06af\u0648\u0634\u0647 \u067e\u0627\u06cc\u06cc\u0646 \u0648 \u0633\u0645\u062a \u0631\u0627\u0633\u062a \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u0646\u062f. \u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 YOLOv8 \u0648 \u0648\u0628 \u06a9\u0645 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u0646\u062f\u0647\u060c \u0634\u0645\u0627\u0631\u0647 \u062f\u0648\u0631\u0628\u06cc\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u0631\u0648\u062f\u06cc \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u062f\u0648\u0631\u0628\u06cc\u0646 \u0627\u0635\u0644\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u0635\u0641\u0631 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a. import cv2 from ultralytics import YOLO model = YOLO(&#8220;yolov8n.pt&#8221;) camera = cv2.VideoCapture(0) if not camera.isOpened(): raise RuntimeError(&#8220;Camera could not be opened.&#8221;) while True: success, frame = camera.read() if not success: break results = model.predict( source=frame, conf=0.4, verbose=False ) annotated_frame = results[0].plot() cv2.imshow(&#8220;Real-time Object Detection&#8221;, annotated_frame) if cv2.waitKey(1) &amp; 0xFF == ord(&#8220;q&#8221;): break camera.release() cv2.destroyAllWindows() \u0628\u0627 \u0641\u0634\u0631\u062f\u0646 \u06a9\u0644\u06cc\u062f q \u0628\u0631\u0646\u0627\u0645\u0647 \u0645\u062a\u0648\u0642\u0641 \u0645\u06cc \u0634\u0648\u062f. \u0627\u06af\u0631 \u0686\u0646\u062f \u062f\u0648\u0631\u0628\u06cc\u0646 \u0628\u0647 \u0633\u06cc\u0633\u062a\u0645 \u0645\u062a\u0635\u0644 \u0627\u0633\u062a\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0642\u062f\u0627\u0631 0 \u0631\u0627 \u0628\u0647 1 \u06cc\u0627 2 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f. \u0628\u0631\u0627\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u0633\u0631\u0639\u062a \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0646\u062f\u0627\u0632\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u06a9\u0627\u0647\u0634 \u062f\u0627\u062f\u060c \u0645\u062f\u0644 \u06a9\u0648\u0686\u06a9 \u062a\u0631\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f \u06cc\u0627 \u0628\u0639\u0636\u06cc 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\u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u062d\u0633\u0627\u0633 \u0648 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u0645\u062a\u0646\u0648\u0639 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u06cc\u0634\u062a\u0631\u06cc \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u0646\u062f. \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0631 \u0641\u0631\u0645\u062a YOLO \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u060c \u0628\u0627\u06cc\u062f \u062f\u0648\u0631 \u0647\u0631 \u0634\u06cc \u06cc\u06a9 \u06a9\u0627\u062f\u0631 \u0631\u0633\u0645 \u0634\u0648\u062f \u0648 \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0622\u0646 \u0645\u0634\u062e\u0635 \u06af\u0631\u062f\u062f. \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u0646\u062f\u060c \u0627\u0632 \u062c\u0645\u0644\u0647: CVAT Label Studio LabelImg Roboflow \u0647\u0631 \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u0641\u0631\u0645\u062a YOLO \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0645\u062a\u0646\u06cc \u0647\u0645 \u0646\u0627\u0645 \u062f\u0627\u0631\u062f. \u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644: images\/train\/product_001.jpg labels\/train\/product_001.txt \u0647\u0631 \u062e\u0637 \u0641\u0627\u06cc\u0644 \u0628\u0631\u0686\u0633\u0628 \u0627\u0632 \u0633\u0627\u062e\u062a\u0627\u0631 \u0632\u06cc\u0631 \u067e\u06cc\u0631\u0648\u06cc \u0645\u06cc \u06a9\u0646\u062f: class_id x_center y_center width height \u0646\u0645\u0648\u0646\u0647: 0 0.512 0.430 0.280 0.360 1 0.225 0.610 0.170 0.240 \u0645\u062e\u062a\u0635\u0627\u062a \u0648 \u0627\u0628\u0639\u0627\u062f \u062f\u0631 \u0627\u06cc\u0646 \u0641\u0631\u0645\u062a \u0646\u0631\u0645\u0627\u0644 \u0634\u062f\u0647 \u0627\u0646\u062f \u0648 \u0645\u0642\u062f\u0627\u0631 \u0622\u0646 \u0647\u0627 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u06cc\u0646 \u0635\u0641\u0631 \u0648 \u06cc\u06a9 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u062f. \u0634\u0645\u0627\u0631\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0646\u06cc\u0632 \u0627\u0632 \u0635\u0641\u0631 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f. \u0627\u06af\u0631 \u062f\u0648 \u0634\u06cc \u062f\u0631 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f\u060c \u0641\u0627\u06cc\u0644 \u0628\u0631\u0686\u0633\u0628 \u0628\u0627\u06cc\u062f \u062f\u0648 \u062e\u0637 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f. \u0627\u06af\u0631 \u062a\u0635\u0648\u06cc\u0631 \u0647\u06cc\u0686 \u0634\u06cc \u0647\u062f\u0641\u06cc \u0646\u062f\u0627\u0631\u062f\u060c \u0641\u0627\u06cc\u0644 \u0628\u0631\u0686\u0633\u0628 \u0622\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062e\u0627\u0644\u06cc \u0628\u0627\u0634\u062f. \u0633\u0627\u062e\u062a\u0627\u0631 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u062f\u06cc\u062a\u0627\u0633\u062a YOLOv8 \u0633\u0627\u062e\u062a\u0627\u0631 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc \u067e\u0631\u0648\u0698\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a: yolo-object-detection\/ \u251c\u2500\u2500 dataset\/ \u2502 \u251c\u2500\u2500 images\/ \u2502 \u2502 \u251c\u2500\u2500 train\/ \u2502 \u2502 \u251c\u2500\u2500 val\/ \u2502 \u2502 \u2514\u2500\u2500 test\/ \u2502 \u251c\u2500\u2500 labels\/ \u2502 \u2502 \u251c\u2500\u2500 train\/ \u2502 \u2502 \u251c\u2500\u2500 val\/ \u2502 \u2502 \u2514\u2500\u2500 test\/ \u2502 \u2514\u2500\u2500 data.yaml \u251c\u2500\u2500 train.py \u251c\u2500\u2500 predict.py \u2514\u2500\u2500 requirements.txt \u062f\u0627\u062f\u0647 \u0647\u0627 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u0633\u0647 \u0628\u062e\u0634 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u0634\u0648\u0646\u062f: train: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u062f\u0644 val: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062d\u06cc\u0646 Train test: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0646\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0648\u0627\u0642\u0639\u06cc \u06cc\u06a9 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0645\u062a\u062f\u0627\u0648\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f 70 \u062f\u0631\u0635\u062f \u0628\u0631\u0627\u06cc Train\u060c \u062d\u062f\u0648\u062f 20 \u062f\u0631\u0635\u062f \u0628\u0631\u0627\u06cc Validation \u0648 10 \u062f\u0631\u0635\u062f \u0628\u0631\u0627\u06cc Test \u0628\u0627\u0634\u062f. \u0627\u06cc\u0646 \u0646\u0633\u0628\u062a \u062b\u0627\u0628\u062a \u0646\u06cc\u0633\u062a \u0648 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u062f\u06cc\u062a\u0627\u0633\u062a \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f. \u062a\u0635\u0627\u0648\u06cc\u0631 \u06cc\u06a9 \u0648\u06cc\u062f\u06cc\u0648 \u06cc\u0627 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0634\u0627\u0628\u0647 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0635\u0627\u062f\u0641\u06cc \u0628\u06cc\u0646 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0647\u0627 \u067e\u062e\u0634 \u0646\u06a9\u0646\u06cc\u062f. \u062f\u0631 \u063a\u06cc\u0631 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a\u060c \u0645\u062f\u0644 \u062f\u0631 \u0628\u062e\u0634 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0628\u0627 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc\u06cc \u062a\u0642\u0631\u06cc\u0628\u0627 \u0645\u0634\u0627\u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc Train \u0631\u0648\u0628\u0631\u0648 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0646\u062a\u06cc\u062c\u0647 \u063a\u06cc\u0631\u0648\u0627\u0642\u0639\u06cc \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u06cc\u062f. \u0633\u0627\u062e\u062a \u0641\u0627\u06cc\u0644 data.yaml \u0641\u0627\u06cc\u0644 data.yaml \u0645\u0633\u06cc\u0631 \u062f\u06cc\u062a\u0627\u0633\u062a \u0648 \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f: path: dataset train: images\/train val: images\/val test: images\/test names: 0: helmet 1: person 2: vest \u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0633\u0647 \u06a9\u0644\u0627\u0633 \u06a9\u0644\u0627\u0647 \u0627\u06cc\u0645\u0646\u06cc\u060c \u0627\u0646\u0633\u0627\u0646 \u0648 \u062c\u0644\u06cc\u0642\u0647 \u062a\u0639\u0631\u06cc\u0641 \u0634\u062f\u0647 \u0627\u0646\u062f. \u062a\u0631\u062a\u06cc\u0628 \u0646\u0627\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0628\u0627\u06cc\u062f \u062f\u0642\u06cc\u0642\u0627 \u0628\u0627 \u0634\u0646\u0627\u0633\u0647 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u0628\u0631\u0686\u0633\u0628 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f. \u0627\u06af\u0631 \u0645\u0633\u06cc\u0631 \u0646\u0633\u0628\u06cc \u0628\u0631\u0627\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0634\u0645\u0627 \u062f\u0631\u0633\u062a \u06a9\u0627\u0631 \u0646\u06a9\u0631\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0633\u06cc\u0631 \u06a9\u0627\u0645\u0644 \u062f\u06cc\u062a\u0627\u0633\u062a \u0631\u0627 \u062f\u0631 \u0645\u0642\u062f\u0627\u0631 path \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f. Train \u0645\u062f\u0644 YOLOv8 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0641\u0627\u06cc\u0644 train.py \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f: from ultralytics import YOLO model = YOLO(&#8220;yolov8n.pt&#8221;) results = model.train( data=&#8221;dataset\/data.yaml&#8221;, epochs=100, imgsz=640, batch=16, project=&#8221;runs\/custom&#8221;, name=&#8221;helmet_detector&#8221;, patience=20, workers=4, device=0 ) print(results) \u062f\u0631 \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0648\u0632\u0646 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f. \u0627\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u06a9\u0647 \u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0627\u0645 \u062f\u0627\u0631\u062f\u060c \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0648 \u0632\u0645\u0627\u0646 \u06a9\u0645\u062a\u0631 \u0628\u0647 \u0646\u062a\u06cc\u062c\u0647 \u0628\u0647\u062a\u0631\u06cc \u0646\u0633\u0628\u062a \u0628\u0647 \u0634\u0631\u0648\u0639 \u06a9\u0627\u0645\u0644\u0627 \u062a\u0635\u0627\u062f\u0641\u06cc \u0645\u06cc \u0631\u0633\u062f. \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u06a9\u0627\u0645\u0644 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0631 \u0635\u0641\u062d\u0647 Train \u0645\u062f\u0644 \u062f\u0631 \u0645\u0633\u062a\u0646\u062f\u0627\u062a Ultralytics \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a. \u0645\u0641\u0647\u0648\u0645 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc Train \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0645\u0647\u0645 \u06a9\u062f \u0628\u0627\u0644\u0627 \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632: data: \u0645\u0633\u06cc\u0631 \u0641\u0627\u06cc\u0644 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u062f\u06cc\u062a\u0627\u0633\u062a epochs: \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 imgsz: \u0627\u0646\u062f\u0627\u0632\u0647 \u0648\u0631\u0648\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 batch: \u062a\u0639\u062f\u0627\u062f \u062a\u0635\u0627\u0648\u06cc\u0631 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u062f\u0647 \u062f\u0631 \u0647\u0631 \u0645\u0631\u062d\u0644\u0647 project: \u067e\u0648\u0634\u0647 \u0627\u0635\u0644\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0646\u062a\u0627\u06cc\u062c name: \u0646\u0627\u0645 \u0627\u062c\u0631\u0627\u06cc \u0641\u0639\u0644\u06cc patience: \u062a\u0648\u0642\u0641 \u0622\u0645\u0648\u0632\u0634 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0647\u0628\u0648\u062f \u0646\u06cc\u0627\u0641\u062a\u0646 \u0646\u062a\u06cc\u062c\u0647 workers: \u062a\u0639\u062f\u0627\u062f \u067e\u0631\u062f\u0627\u0632\u0634 \u0647\u0627\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 device: \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0648\u0644\u06cc\u0646 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 NVIDIA \u0645\u0642\u062f\u0627\u0631 device=0 \u0631\u0627 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f. \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc Train \u0631\u0648\u06cc \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 \u0645\u0631\u06a9\u0632\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0645\u0642\u062f\u0627\u0631 \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f: device=&#8221;cpu&#8221; \u0627\u06af\u0631 \u0628\u0627 \u062e\u0637\u0627\u06cc \u06a9\u0645\u0628\u0648\u062f \u062d\u0627\u0641\u0638\u0647 GPU \u0645\u0648\u0627\u062c\u0647 \u0634\u062f\u06cc\u062f\u060c \u0645\u0642\u062f\u0627\u0631 batch \u06cc\u0627 imgsz \u0631\u0627 \u06a9\u0627\u0647\u0634 \u062f\u0647\u06cc\u062f. \u0622\u0645\u0648\u0632\u0634 YOLOv8 \u0628\u0627 \u062e\u0637 \u0641\u0631\u0645\u0627\u0646 \u0647\u0645\u0627\u0646 \u0641\u0631\u0627\u06cc\u0646\u062f \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u062f\u0648\u0646 \u0633\u0627\u062e\u062a \u0641\u0627\u06cc\u0644 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u062c\u0631\u0627 \u06a9\u0631\u062f: yolo detect train data=dataset\/data.yaml model=yolov8n.pt epochs=100 imgsz=640 batch=16 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062e\u0637 \u0641\u0631\u0645\u0627\u0646 \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0633\u0631\u06cc\u0639 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a. \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u0646\u06af\u0647\u062f\u0627\u0631\u06cc\u060c \u0630\u062e\u06cc\u0631\u0647 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u062f\u0627\u062e\u0644 \u0641\u0627\u06cc\u0644 \u067e\u0627\u06cc\u062a\u0648\u0646 \u06cc\u0627 \u0641\u0627\u06cc\u0644 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc\u060c \u062a\u06a9\u0631\u0627\u0631 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0647\u0627 \u0631\u0627 \u0633\u0627\u062f\u0647 \u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f. \u0622\u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 YOLOv8 \u0631\u0627 \u0627\u0632 \u0648\u0632\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc Train \u06a9\u0631\u062f\u061f \u0628\u0644\u0647. \u0627\u06af\u0631 \u0645\u0646\u0638\u0648\u0631 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0635\u0641\u0631\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u06a9\u0631\u062f\u0646 \u0627\u0632 \u0648\u0632\u0646 \u0647\u0627\u06cc \u0622\u0645\u0627\u062f\u0647 \u0628\u0627\u0634\u062f\u060c \u0628\u0627\u06cc\u062f \u0641\u0627\u06cc\u0644 \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062f\u0644 \u0631\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f: from ultralytics import YOLO model = YOLO(&#8220;yolov8n.yaml&#8221;) model.train( data=&#8221;dataset\/data.yaml&#8221;, epochs=300, imgsz=640, batch=16, device=0 ) \u062a\u0641\u0627\u0648\u062a \u0627\u0635\u0644\u06cc \u0627\u06cc\u0646 \u062f\u0648 \u0631\u0648\u0634 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u0648\u0631\u0648\u062f\u06cc \u0627\u0633\u062a: YOLO(&#8220;yolov8n.pt&#8221;) # \u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0627 \u0648\u0632\u0646 \u0622\u0645\u0627\u062f\u0647 YOLO(&#8220;yolov8n.yaml&#8221;) # \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0648\u0632\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc \u0628\u0631\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u062f\u06cc\u062a\u0627\u0633\u062a \u0647\u0627\u06cc \u0627\u062e\u062a\u0635\u0627\u0635\u06cc\u060c \u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0646\u0637\u0642\u06cc \u062a\u0631\u06cc \u0627\u0633\u062a. \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0648\u0632\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u062f\u06cc\u062a\u0627\u0633\u062a \u0628\u0632\u0631\u06af \u062a\u0631\u060c \u062f\u0648\u0631\u0647 \u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0648 \u0645\u0646\u0627\u0628\u0639 \u067e\u0631\u062f\u0627\u0632\u0634\u06cc \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f. \u0641\u0627\u06cc\u0644 \u0647\u0627\u06cc \u062e\u0631\u0648\u062c\u06cc Train \u0645\u062f\u0644 \u067e\u0633 \u0627\u0632 \u067e\u0627\u06cc\u0627\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u0646\u062a\u0627\u06cc\u062c \u062f\u0631 \u067e\u0648\u0634\u0647 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u062f\u0648 \u0641\u0627\u06cc\u0644 \u0645\u0647\u0645 \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632: weights\/best.pt weights\/last.pt \u0641\u0627\u06cc\u0644 best.pt \u0628\u0647\u062a\u0631\u06cc\u0646 \u0648\u0632\u0646 \u062b\u0628\u062a \u0634\u062f\u0647 \u0628\u0631\u0627\u0633\u0627\u0633 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0627\u0633\u062a. \u0641\u0627\u06cc\u0644 last.pt \u0648\u0632\u0646 \u0645\u062f\u0644 \u062f\u0631 \u0622\u062e\u0631\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0646\u06af\u0647\u062f\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u062f. \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0646\u0647\u0627\u06cc\u06cc \u0645\u0639\u0645\u0648\u0644\u0627 \u0627\u0632 best.pt \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f: from ultralytics import YOLO model = YOLO(&#8220;runs\/custom\/helmet_detector\/weights\/best.pt&#8221;) model.predict(source=&#8221;sample.jpg&#8221;, conf=0.4, save=True) \u0627\u062f\u0627\u0645\u0647 Train \u0645\u062a\u0648\u0642\u0641 \u0634\u062f\u0647 \u0627\u06af\u0631 \u0622\u0645\u0648\u0632\u0634 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0642\u0637\u0639 \u0628\u0631\u0642\u060c \u0628\u0633\u062a\u0647 \u0634\u062f\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u06cc\u0627 \u0645\u062d\u062f\u0648\u062f\u06cc\u062a \u0632\u0645\u0627\u0646\u06cc \u0645\u062a\u0648\u0642\u0641 \u0634\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0627\u0632 \u0622\u062e\u0631\u06cc\u0646 \u0648\u0636\u0639\u06cc\u062a \u0627\u062f\u0627\u0645\u0647 \u062f\u0627\u062f: from ultralytics import YOLO model = YOLO(&#8220;runs\/custom\/helmet_detector\/weights\/last.pt&#8221;) model.train(resume=True) \u0628\u0631\u0627\u06cc \u0627\u0645\u06a9\u0627\u0646 \u0627\u062f\u0627\u0645\u0647 \u0635\u062d\u06cc\u062d\u060c \u0641\u0627\u06cc\u0644 \u0647\u0627 \u0648 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0627\u062c\u0631\u0627\u06cc \u0642\u0628\u0644\u06cc \u0631\u0627 \u062d\u0630\u0641 \u06cc\u0627 \u062c\u0627\u0628\u0647 \u062c\u0627 \u0646\u06a9\u0646\u06cc\u062f. \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0635\u0631\u0641 \u0645\u0634\u0627\u0647\u062f\u0647 \u0686\u0646\u062f \u062a\u0635\u0648\u06cc\u0631 \u0628\u0631\u0627\u06cc \u062a\u0627\u06cc\u06cc\u062f \u06a9\u06cc\u0641\u06cc\u062a \u0645\u062f\u0644 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a. \u0645\u062f\u0644 \u0628\u0627\u06cc\u062f \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0634\u0648\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0645\u0648\u0632\u0634 \u0646\u062f\u06cc\u062f\u0647 \u0627\u0633\u062a. from ultralytics import YOLO model = YOLO(&#8220;runs\/custom\/helmet_detector\/weights\/best.pt&#8221;) metrics = model.val(data=&#8221;dataset\/data.yaml&#8221;) print(metrics) \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u0647\u0645 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632: Precision Precision \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0686\u0647 \u0645\u0642\u062f\u0627\u0631 \u0627\u0632 \u062a\u0634\u062e\u06cc\u0635 \u0647\u0627\u06cc \u0645\u062f\u0644 \u0648\u0627\u0642\u0639\u0627 \u0635\u062d\u06cc\u062d \u0628\u0648\u062f\u0647 \u0627\u0646\u062f. \u067e\u0627\u06cc\u06cc\u0646 \u0628\u0648\u062f\u0646 Precision \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u0645\u0639\u0646\u06cc \u0632\u06cc\u0627\u062f \u0628\u0648\u062f\u0646 \u062a\u0634\u062e\u06cc\u0635 \u0647\u0627\u06cc \u0627\u0634\u062a\u0628\u0627\u0647 \u0627\u0633\u062a. Recall Recall \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u0645\u062f\u0644 \u0686\u0647 \u0645\u0642\u062f\u0627\u0631 \u0627\u0632 \u0627\u0634\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u067e\u0627\u06cc\u06cc\u0646 \u0628\u0648\u062f\u0646 Recall \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0645\u062f\u0644 \u062a\u0639\u062f\u0627\u062f \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0627\u0634\u06cc\u0627 \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u0645\u06cc \u062f\u0647\u062f. mAP \u0645\u0639\u06cc\u0627\u0631 mAP \u0639\u0645\u0644\u06a9\u0631\u062f \u06a9\u0644\u06cc \u0645\u062f\u0644 \u0631\u0627 \u062f\u0631 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0648 \u0622\u0633\u062a\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u062f. \u062f\u0648 \u0645\u0639\u06cc\u0627\u0631 mAP50 \u0648 mAP50-95 \u0645\u0639\u0645\u0648\u0644\u0627 \u062f\u0631 \u06af\u0632\u0627\u0631\u0634 \u0646\u062a\u0627\u06cc\u062c \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0646\u0628\u0627\u06cc\u062f \u062a\u0646\u0647\u0627 \u0628\u0631\u0627\u0633\u0627\u0633 \u06cc\u06a9 \u0639\u062f\u062f \u062f\u0631\u0628\u0627\u0631\u0647 \u06a9\u06cc\u0641\u06cc\u062a \u0645\u062f\u0644 \u062a\u0635\u0645\u06cc\u0645 \u06af\u0631\u0641\u062a. \u0639\u0645\u0644\u06a9\u0631\u062f \u0647\u0631 \u06a9\u0644\u0627\u0633\u060c \u0645\u0627\u062a\u0631\u06cc\u0633 \u0633\u0631\u062f\u0631\u06af\u0645\u06cc\u060c \u0634\u0631\u0627\u06cc\u0637 \u0645\u062d\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0647\u0632\u06cc\u0646\u0647 \u062e\u0637\u0627 \u0646\u06cc\u0632 \u0628\u0627\u06cc\u062f \u0628\u0631\u0631\u0633\u06cc \u0634\u0648\u0646\u062f. \u0622\u0632\u0645\u0627\u06cc\u0634 \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u0631\u0648\u06cc \u0648\u06cc\u062f\u06cc\u0648 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0631\u0648\u06cc \u06cc\u06a9 \u0641\u0627\u06cc\u0644 \u0648\u06cc\u062f\u06cc\u0648\u06cc\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u06a9\u062f \u0632\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f: from ultralytics import YOLO model = YOLO(&#8220;runs\/custom\/helmet_detector\/weights\/best.pt&#8221;) model.predict( source=&#8221;input.mp4&#8243;, conf=0.4, iou=0.5, save=True, show=False ) \u067e\u0627\u0631\u0627\u0645\u062a\u0631 iou \u062f\u0631 \u06a9\u0646\u062a\u0631\u0644 \u0647\u0645 \u067e\u0648\u0634\u0627\u0646\u06cc \u06a9\u0627\u062f\u0631\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0645\u0648\u062b\u0631 \u0627\u0633\u062a. \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0642\u062f\u0627\u0631 \u0645\u0646\u0627\u0633\u0628 \u0628\u0631\u0627\u06cc conf \u0648 iou \u0628\u0627\u06cc\u062f \u0628\u0631\u0627\u0633\u0627\u0633 \u062f\u0627\u062f\u0647 Validation \u0648 \u0646\u06cc\u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f. \u062a\u0634\u062e\u06cc\u0635 \u0641\u0642\u0637 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0645\u0634\u062e\u0635 \u0627\u06af\u0631 \u0645\u062f\u0644 \u0686\u0646\u062f \u06a9\u0644\u0627\u0633 \u062f\u0627\u0631\u062f\u060c \u0627\u0645\u0627 \u0641\u0642\u0637 \u0628\u0647 \u0628\u0639\u0636\u06cc \u0627\u0632 \u0622\u0646 \u0647\u0627 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u062f\u060c \u0634\u0646\u0627\u0633\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u062f: results = model.predict( source=&#8221;input.mp4&#8243;, classes=[0, 2], conf=0.4, save=True ) \u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0641\u0642\u0637 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0635\u0641\u0631 \u0648 \u062f\u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0634\u0646\u0627\u0633\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0628\u0627\u06cc\u062f \u0628\u0627 \u0641\u0627\u06cc\u0644 data.yaml \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f. \u0634\u0645\u0627\u0631\u0634 \u0627\u0634\u06cc\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647 \u06a9\u062f \u0632\u06cc\u0631 \u062a\u0639\u062f\u0627\u062f \u0627\u0634\u06cc\u0627\u06cc \u0647\u0631 \u06a9\u0644\u0627\u0633 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u06a9\u0646\u062f: from collections import Counter from ultralytics import YOLO model = YOLO(&#8220;runs\/custom\/helmet_detector\/weights\/best.pt&#8221;) result = model(&#8220;sample.jpg&#8221;, conf=0.4)[0] class_names = [ model.names[int(class_id)] for class_id in result.boxes.cls.tolist() ] counts = Counter(class_names) for class_name, count in counts.items(): print(f&#8221;{class_name}: {count}&#8221;) \u0628\u0631\u0627\u06cc \u0634\u0645\u0627\u0631\u0634 \u0627\u0634\u06cc\u0627 \u062f\u0631 \u0648\u06cc\u062f\u06cc\u0648 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0645\u0641\u0647\u0648\u0645 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0646\u06cc\u0632 \u062a\u0648\u062c\u0647 \u06a9\u0631\u062f. \u0634\u0645\u0627\u0631\u0634 \u0633\u0627\u062f\u0647 \u062f\u0631 \u0647\u0631 \u0641\u0631\u06cc\u0645 \u0628\u0627\u0639\u062b \u0645\u06cc \u0634\u0648\u062f \u06cc\u06a9 \u0634\u06cc \u0686\u0646\u062f\u06cc\u0646 \u0628\u0627\u0631 \u0634\u0645\u0631\u062f\u0647 \u0634\u0648\u062f. \u062f\u0631 \u0686\u0646\u06cc\u0646 \u0634\u0631\u0627\u06cc\u0637\u06cc \u0628\u0627\u06cc\u062f \u0628\u0631\u0627\u06cc \u0647\u0631 \u0634\u06cc \u06cc\u06a9 \u0634\u0646\u0627\u0633\u0647 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0627\u06cc\u062c\u0627\u062f \u0634\u0648\u062f \u0648 \u0639\u0628\u0648\u0631 \u0622\u0646 \u0627\u0632 \u062e\u0637 \u06cc\u0627 \u0646\u0627\u062d\u06cc\u0647 \u0645\u0634\u062e\u0635 \u0628\u0631\u0631\u0633\u06cc \u06af\u0631\u062f\u062f. \u062e\u0631\u0648\u062c\u06cc \u06af\u0631\u0641\u062a\u0646 \u0627\u0632 \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u062f\u0631 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0641\u0631\u0645\u062a \u0645\u0646\u0627\u0633\u0628 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f. \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u0646\u0647\u060c \u062e\u0631\u0648\u062c\u06cc ONNX \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0633\u0627\u062e\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f: from ultralytics import YOLO model = YOLO(&#8220;runs\/custom\/helmet_detector\/weights\/best.pt&#8221;) model.export( format=&#8221;onnx&#8221;, imgsz=640, dynamic=True ) \u0641\u0631\u0645\u062a \u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0646\u0633\u062e\u0647 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0648 \u0645\u062d\u06cc\u0637 \u0627\u062c\u0631\u0627 \u0645\u062a\u0641\u0627\u0648\u062a \u0647\u0633\u062a\u0646\u062f. \u0628\u0631\u062e\u06cc \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0631\u0627\u06cc\u062c \u0639\u0628\u0627\u0631\u062a \u0627\u0646\u062f \u0627\u0632: ONNX \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0628\u06cc\u0646 \u067e\u0644\u062a\u0641\u0631\u0645\u06cc TensorRT \u0628\u0631\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0631\u0648\u06cc \u06a9\u0627\u0631\u062a \u0647\u0627\u06cc NVIDIA CoreML \u0628\u0631\u0627\u06cc \u0645\u062d\u0635\u0648\u0644\u0627\u062a \u0627\u067e\u0644 TFLite \u0628\u0631\u0627\u06cc \u0628\u0639\u0636\u06cc \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u0645\u0648\u0628\u0627\u06cc\u0644 \u0648 \u0644\u0628\u0647 OpenVINO \u0628\u0631\u0627\u06cc \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u0647\u0627\u06cc \u0633\u0627\u0632\u06af\u0627\u0631 \u0627\u06cc\u0646\u062a\u0644 \u067e\u06cc\u0634 \u0627\u0632 \u0627\u0646\u062a\u062e\u0627\u0628 \u0641\u0631\u0645\u062a\u060c \u0645\u0642\u0635\u062f \u0646\u0647\u0627\u06cc\u06cc\u060c \u0633\u06cc\u0633\u062a\u0645 \u0639\u0627\u0645\u0644\u060c \u0646\u0648\u0639 \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647\u060c \u0645\u062d\u062f\u0648\u062f\u06cc\u062a \u062d\u0627\u0641\u0638\u0647\u060c \u0633\u0631\u0639\u062a \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0648 \u0645\u062c\u0648\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f. \u0633\u0627\u062e\u062a \u0641\u0627\u06cc\u0644 requirements.txt \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0646\u0635\u0628 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627\u06cc \u067e\u0631\u0648\u0698\u0647 \u0631\u0648\u06cc \u0633\u06cc\u0633\u062a\u0645 \u062f\u06cc\u06af\u0631 \u0633\u0627\u062f\u0647 \u0628\u0627\u0634\u062f\u060c \u0641\u0627\u06cc\u0644 requirements.txt \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f: ultralytics opencv-python \u0633\u067e\u0633 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627 \u0628\u0627 \u062f\u0633\u062a\u0648\u0631 \u0632\u06cc\u0631 \u0646\u0635\u0628 \u0645\u06cc \u0634\u0648\u0646\u062f: pip install -r requirements.txt \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0639\u0645\u0644\u06cc \u0628\u0647\u062a\u0631 \u0627\u0633\u062a \u0646\u0633\u062e\u0647 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u067e\u0633 \u0627\u0632 \u062a\u0633\u062a \u0645\u0634\u062e\u0635 \u0634\u0648\u062f \u062a\u0627 \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc \u0646\u0627\u06af\u0647\u0627\u0646\u06cc\u060c \u0631\u0641\u062a\u0627\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0646\u062f\u0647\u062f: pip freeze &gt; requirements.txt \u062e\u0637\u0627\u0647\u0627\u06cc \u0631\u0627\u06cc\u062c \u0647\u0646\u06af\u0627\u0645 Train \u0645\u062f\u0644 YOLOv8 \u067e\u06cc\u062f\u0627 \u0646\u0634\u062f\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631 \u06cc\u0627 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0645\u0639\u0645\u0648\u0644\u0627 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0645\u0633\u06cc\u0631 \u0627\u0634\u062a\u0628\u0627\u0647 \u062f\u0631 data.yaml \u06cc\u0627 \u0633\u0627\u062e\u062a\u0627\u0631 \u0646\u0627\u062f\u0631\u0633\u062a \u067e\u0648\u0634\u0647 \u0647\u0627 \u0631\u062e \u0645\u06cc \u062f\u0647\u062f. \u0645\u0633\u06cc\u0631\u0647\u0627 \u0648 \u0646\u0627\u0645 \u067e\u0648\u0634\u0647 \u0647\u0627\u06cc images \u0648 labels \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u062f. \u0627\u0634\u062a\u0628\u0627\u0647 \u0628\u0648\u062f\u0646 \u0634\u0646\u0627\u0633\u0647 \u06a9\u0644\u0627\u0633 \u0627\u06af\u0631 \u0633\u0647 \u06a9\u0644\u0627\u0633 \u062f\u0627\u0631\u06cc\u062f\u060c \u0634\u0646\u0627\u0633\u0647 \u0647\u0627 \u0628\u0627\u06cc\u062f \u0635\u0641\u0631\u060c \u06cc\u06a9 \u0648 \u062f\u0648 \u0628\u0627\u0634\u0646\u062f. \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0634\u0646\u0627\u0633\u0647 \u062e\u0627\u0631\u062c \u0627\u0632 \u0645\u062d\u062f\u0648\u062f\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0627\u0639\u062b \u062e\u0637\u0627 \u06cc\u0627 \u0622\u0645\u0648\u0632\u0634 \u0646\u0627\u062f\u0631\u0633\u062a \u0634\u0648\u062f. \u062e\u0637\u0627\u06cc CUDA out of memory \u0627\u06cc\u0646 \u062e\u0637\u0627 \u06cc\u0639\u0646\u06cc \u062d\u0627\u0641\u0638\u0647 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a. \u0631\u0627\u0647\u06a9\u0627\u0631\u0647\u0627\u06cc \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc: \u06a9\u0627\u0647\u0634 \u0645\u0642\u062f\u0627\u0631 batch \u06a9\u0627\u0647\u0634 \u0645\u0642\u062f\u0627\u0631 imgsz \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u06a9\u0648\u0686\u06a9 \u062a\u0631 \u0628\u0633\u062a\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u0635\u0631\u0641 \u06a9\u0646\u0646\u062f\u0647 GPU \u0627\u062c\u0631\u0627\u06cc Train \u0631\u0648\u06cc \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0642\u0648\u06cc \u062a\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0647\u0645\u0647 \u0627\u0634\u06cc\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u06a9\u0644\u0627\u0633 \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0647 \u062f\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0646\u0627\u0645\u062a\u0648\u0627\u0632\u0646\u060c \u0634\u0628\u0627\u0647\u062a \u0632\u06cc\u0627\u062f \u06a9\u0644\u0627\u0633 \u0647\u0627\u060c \u0628\u0631\u0686\u0633\u0628 \u06af\u0630\u0627\u0631\u06cc \u0646\u0627\u062f\u0631\u0633\u062a \u06cc\u0627 \u06a9\u0645\u0628\u0648\u062f \u0646\u0645\u0648\u0646\u0647 \u0631\u062e \u062f\u0647\u062f. \u0627\u0628\u062a\u062f\u0627 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0633\u0631\u062f\u0631\u06af\u0645\u06cc \u0648 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0647\u0631 \u06a9\u0644\u0627\u0633 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc&#8230;<\/p>\n","protected":false},"author":1,"featured_media":103,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16,14,3,12,8,13],"tags":[62,63,65,64,66],"class_list":["post-102","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category--ai","category-3","category-12","category-8","category-13","tag-yolo","tag-yolov8","tag--yolo","tag-64","tag-66"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.9 (Yoast SEO v28.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>\u0622\u0645\u0648\u0632\u0634 \u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0628\u0627 YOLOv8 \u0627\u0632 \u0635\u0641\u0631 \u062a\u0627 \u0635\u062f \u0648 Train \u0645\u062f\u0644 \u0627\u062e\u062a\u0635\u0627\u0635\u06cc | \u0646\u0648\u06cc\u0646 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