{"id":319488,"date":"2025-12-04T19:07:27","date_gmt":"2025-12-04T20:07:27","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/supercourse-0000015579\/"},"modified":"2025-12-21T09:52:44","modified_gmt":"2025-12-21T10:52:44","slug":"supercourse-0000015579","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/supercourse-0000015579\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 OpenCV"},"content":{"rendered":"
\n

\ud83c\udf93 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062c\u0627\u0645\u0639<\/h2>\n<\/p><\/div>\n
\n

\ud83d\udcda \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062f\u0648\u0631\u0647<\/h3>\n

\u0639\u0646\u0648\u0627\u0646 \u062f\u0648\u0631\u0647:<\/strong> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 OpenCV<\/p>\n

\u0645\u0648\u0636\u0648\u0639 \u06a9\u0644\u06cc:<\/strong> \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc<\/p>\n

\u0645\u0648\u0636\u0648\u0639 \u0645\u06cc\u0627\u0646\u06cc:<\/strong> \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 (Computer Vision)<\/p>\n<\/div>\n

\n

\ud83d\udccb \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u062f\u0648\u0631\u0647 (100 \u0645\u0648\u0636\u0648\u0639)<\/h3>\n
    \n
  • \n 1.<\/span> \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0622\u0646\n <\/li>\n
  • \n 2.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621: \u062a\u0639\u0627\u0631\u06cc\u0641 \u0648 \u0627\u0647\u0645\u06cc\u062a\n <\/li>\n
  • \n 3.<\/span> \u0646\u0635\u0628 \u0648 \u0631\u0627\u0647\u200c\u0627\u0646\u062f\u0627\u0632\u06cc \u0645\u062d\u06cc\u0637 \u062a\u0648\u0633\u0639\u0647 (Python, OpenCV)\n <\/li>\n
  • \n 4.<\/span> \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc\u060c \u0646\u0645\u0627\u06cc\u0634 \u0648 \u0630\u062e\u06cc\u0631\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631\n <\/li>\n
  • \n 5.<\/span> \u06a9\u0627\u0631 \u0628\u0627 \u0648\u06cc\u062f\u0626\u0648: \u0648\u0631\u0648\u062f\u06cc \u062f\u0648\u0631\u0628\u06cc\u0646 \u0648 \u0641\u0627\u06cc\u0644\n <\/li>\n
  • \n 6.<\/span> \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u0627\u06cc\u0647 \u062a\u0635\u0648\u06cc\u0631: \u067e\u06cc\u06a9\u0633\u0644\u060c \u06a9\u0627\u0646\u0627\u0644\u060c \u0631\u0646\u06af\n <\/li>\n
  • \n 7.<\/span> \u062a\u0628\u062f\u06cc\u0644 \u0641\u0636\u0627\u0647\u0627\u06cc \u0631\u0646\u06af\u06cc (BGR, RGB, HSV, Gray)\n <\/li>\n
  • \n 8.<\/span> \u0639\u0645\u0644\u06cc\u0627\u062a \u067e\u0627\u06cc\u0647 \u0628\u0631 \u0631\u0648\u06cc \u062a\u0635\u0648\u06cc\u0631: \u0628\u0631\u0634\u060c \u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647\u060c \u0686\u0631\u062e\u0634\n <\/li>\n
  • \n 9.<\/span> \u0631\u0633\u0645 \u0627\u0634\u06a9\u0627\u0644 \u0647\u0646\u062f\u0633\u06cc \u0648 \u0645\u062a\u0646 \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631\n <\/li>\n
  • \n 10.<\/span> \u0631\u0648\u06cc\u062f\u0627\u062f\u0647\u0627\u06cc \u0645\u0627\u0648\u0633 \u0648 \u06a9\u06cc\u0628\u0648\u0631\u062f \u062f\u0631 OpenCV\n <\/li>\n
  • \n 11.<\/span> \u0622\u0633\u062a\u0627\u0646\u0647\u200c\u06af\u0630\u0627\u0631\u06cc (Thresholding) \u0633\u0627\u062f\u0647 \u0648 \u062a\u0637\u0628\u06cc\u0642\u06cc\n <\/li>\n
  • \n 12.<\/span> \u0639\u0645\u0644\u06cc\u0627\u062a \u0628\u06cc\u062a\u06cc (Bitwise Operations) \u0648 \u0645\u0627\u0633\u06a9\u200c\u06af\u0630\u0627\u0631\u06cc\n <\/li>\n
  • \n 13.<\/span> \u0641\u06cc\u0644\u062a\u0631\u0647\u0627\u06cc \u0647\u0645\u0648\u0627\u0631\u0633\u0627\u0632\u06cc (Smoothing): \u0628\u0644\u0648\u0631\u06cc\u0646\u06af\u060c \u06af\u0648\u0633\u06cc\u060c \u0645\u06cc\u0627\u0646\u06cc\n <\/li>\n
  • \n 14.<\/span> \u0641\u06cc\u0644\u062a\u0631\u0647\u0627\u06cc \u0634\u0627\u0631\u067e\u200c\u0633\u0627\u0632\u06cc (Sharpening)\n <\/li>\n
  • \n 15.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0644\u0628\u0647 (Edge Detection): \u0633\u0648\u0628\u0644\u060c \u0634\u0627\u0631\u06cc\u060c \u0644\u0627\u067e\u0644\u0627\u0633\u06cc\u0646\n <\/li>\n
  • \n 16.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0644\u0628\u0647 \u0628\u0627 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 Canny\n <\/li>\n
  • \n 17.<\/span> \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u0648\u0631\u0641\u0648\u0644\u0648\u0698\u06cc: \u0641\u0631\u0633\u0627\u06cc\u0634 \u0648 \u0627\u0646\u0628\u0633\u0627\u0637\n <\/li>\n
  • \n 18.<\/span> \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u0648\u0631\u0641\u0648\u0644\u0648\u0698\u06cc: \u0628\u0627\u0632 \u06a9\u0631\u062f\u0646 \u0648 \u0628\u0633\u062a\u0646\n <\/li>\n
  • \n 19.<\/span> \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u0648\u0631\u0641\u0648\u0644\u0648\u0698\u06cc: \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u0648 \u06a9\u0644\u0627\u0647 \u0633\u06cc\u0627\u0647\/\u0633\u0641\u06cc\u062f\n <\/li>\n
  • \n 20.<\/span> \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u062a\u0639\u062f\u06cc\u0644 \u0622\u0646 (Equalization)\n <\/li>\n
  • \n 21.<\/span> \u062a\u0628\u062f\u06cc\u0644 \u0641\u0648\u0631\u06cc\u0647 \u06af\u0633\u0633\u062a\u0647 (DFT) \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0622\u0646\n <\/li>\n
  • \n 22.<\/span> \u062a\u0628\u062f\u06cc\u0644 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0627\u0632 \u062f\u0627\u0645\u0646\u0647 \u0645\u06a9\u0627\u0646 \u0628\u0647 \u0641\u0631\u06a9\u0627\u0646\u0633\n <\/li>\n
  • \n 23.<\/span> \u0647\u0631\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631 (Image Pyramids): \u06af\u0648\u0633\u06cc \u0648 \u0644\u0627\u067e\u0644\u0627\u0633\u06cc\u0646\n <\/li>\n
  • \n 24.<\/span> \u0639\u0645\u0644\u06cc\u0627\u062a \u0631\u06cc\u0627\u0636\u06cc \u0628\u0631 \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631: \u062c\u0645\u0639\u060c \u062a\u0641\u0631\u06cc\u0642\u060c \u062a\u0631\u06a9\u06cc\u0628\n <\/li>\n
  • \n 25.<\/span> \u06cc\u0627\u0641\u062a\u0646 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u06a9\u0627\u0646\u062a\u0648\u0631\u0647\u0627 (Contours)\n <\/li>\n
  • \n 26.<\/span> \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631\n <\/li>\n
  • \n 27.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u06af\u0648\u0634\u0647: \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 Harris\n <\/li>\n
  • \n 28.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u06af\u0648\u0634\u0647: \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 Shi-Tomasi\n <\/li>\n
  • \n 29.<\/span> \u0645\u0641\u0647\u0648\u0645 \u062a\u0648\u0635\u06cc\u0641\u200c\u06af\u0631\u0647\u0627\u06cc \u0648\u06cc\u0698\u06af\u06cc (Feature Descriptors)\n <\/li>\n
  • \n 30.<\/span> \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 FAST \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0646\u0642\u0627\u0637 \u06a9\u0644\u06cc\u062f\u06cc\n <\/li>\n
  • \n 31.<\/span> \u062a\u0648\u0635\u06cc\u0641\u200c\u06af\u0631 BRIEF\n <\/li>\n
  • \n 32.<\/span> \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc ORB (Oriented FAST and Rotated BRIEF)\n <\/li>\n
  • \n 33.<\/span> \u062a\u0637\u0627\u0628\u0642 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 (Feature Matching): Brute-Force\n <\/li>\n
  • \n 34.<\/span> \u062a\u0637\u0627\u0628\u0642 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627: FLANN (Fast Library for Approximate Nearest Neighbors)\n <\/li>\n
  • \n 35.<\/span> \u0628\u0631\u0622\u0648\u0631\u062f \u0647\u0645\u0648\u06af\u0631\u0627\u0641\u06cc (Homography) \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0622\u0646\n <\/li>\n
  • \n 36.<\/span> \u062a\u0637\u0627\u0628\u0642 \u0627\u0644\u06af\u0648 (Template Matching)\n <\/li>\n
  • \n 37.<\/span> \u0631\u062f\u06cc\u0627\u0628\u06cc \u0634\u06cc\u0621 \u0628\u0627 Optical Flow (Lucas-Kanade)\n <\/li>\n
  • \n 38.<\/span> \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621\n <\/li>\n
  • \n 39.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0686\u0647\u0631\u0647 \u0628\u0627 Haar Cascades\n <\/li>\n
  • \n 40.<\/span> \u0622\u0645\u0648\u0632\u0634 Haar Cascades \u0633\u0641\u0627\u0631\u0634\u06cc (\u0645\u0641\u0627\u0647\u06cc\u0645)\n <\/li>\n
  • \n 41.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 HOG (Histogram of Oriented Gradients)\n <\/li>\n
  • \n 42.<\/span> \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 SVM (Support Vector Machine) \u0628\u0631\u0627\u06cc HOG\n <\/li>\n
  • \n 43.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0639\u0627\u0628\u0631 \u067e\u06cc\u0627\u062f\u0647 \u0628\u0627 HOG + SVM\n <\/li>\n
  • \n 44.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0627\u0644\u06af\u0648\u06cc \u067e\u0646\u062c\u0631\u0647 \u0644\u063a\u0632\u0627\u0646 (Sliding Window)\n <\/li>\n
  • \n 45.<\/span> \u067e\u0633\u200c\u0632\u0645\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc (Background Subtraction): MOG2\n <\/li>\n
  • \n 46.<\/span> \u0631\u062f\u06cc\u0627\u0628\u06cc \u0634\u06cc\u0621 \u0628\u0627 Mean Shift\n <\/li>\n
  • \n 47.<\/span> \u0631\u062f\u06cc\u0627\u0628\u06cc \u0634\u06cc\u0621 \u0628\u0627 CamShift\n <\/li>\n
  • \n 48.<\/span> \u0622\u0646\u0627\u0644\u06cc\u0632 \u0627\u062c\u0632\u0627\u06cc \u0645\u062a\u0635\u0644 (Connected Component Analysis)\n <\/li>\n
  • \n 49.<\/span> \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646\n <\/li>\n
  • \n 50.<\/span> \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0627 \u0646\u0638\u0627\u0631\u062a \u0648 \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a\n <\/li>\n
  • \n 51.<\/span> \u0645\u0639\u0631\u0641\u06cc \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc (ANN)\n <\/li>\n
  • \n 52.<\/span> \u067e\u0631\u0633\u067e\u062a\u0631\u0648\u0646 \u0648 \u062a\u0648\u0627\u0628\u0639 \u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632\u06cc\n <\/li>\n
  • \n 53.<\/span> \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 (MLP)\n <\/li>\n
  • \n 54.<\/span> \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 (Deep Learning)\n <\/li>\n
  • \n 55.<\/span> \u0645\u0639\u0631\u0641\u06cc \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u0627\u0644 (CNN)\n <\/li>\n
  • \n 56.<\/span> \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 (Convolutional Layers)\n <\/li>\n
  • \n 57.<\/span> \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u067e\u0648\u0644\u06cc\u0646\u06af (Pooling Layers)\n <\/li>\n
  • \n 58.<\/span> \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u062a\u0635\u0644 (Fully Connected Layers)\n <\/li>\n
  • \n 59.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc \u067e\u0627\u06cc\u0647 CNN \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631\n <\/li>\n
  • \n 60.<\/span> \u0645\u0641\u0647\u0648\u0645 \u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc (Transfer Learning)\n <\/li>\n
  • \n 61.<\/span> \u0633\u06cc\u0631 \u062a\u06a9\u0627\u0645\u0644 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n <\/li>\n
  • \n 62.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621 \u062f\u0648 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc: R-CNN\u060c Fast R-CNN (\u0645\u0641\u0627\u0647\u06cc\u0645)\n <\/li>\n
  • \n 63.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc Faster R-CNN \u0648 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u0646\u0637\u0642\u0647 (RPN)\n <\/li>\n
  • \n 64.<\/span> Anchor Boxes \u0648 RoI Pooling\/Align \u062f\u0631 Faster R-CNN\n <\/li>\n
  • \n 65.<\/span> \u0645\u0639\u0631\u0641\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621 \u062a\u06a9 \u0645\u0631\u062d\u0644\u0647\u200c\u0627\u06cc\n <\/li>\n
  • \n 66.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc YOLO (You Only Look Once) V1 \u0648 V2\n <\/li>\n
  • \n 67.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc YOLO V3 \u0648 Darknet\n <\/li>\n
  • \n 68.<\/span> \u0628\u0647\u0628\u0648\u062f\u0647\u0627\u06cc YOLO V4\n <\/li>\n
  • \n 69.<\/span> \u062e\u0627\u0646\u0648\u0627\u062f\u0647 YOLO V5 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PyTorch\n <\/li>\n
  • \n 70.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc SSD (Single Shot MultiBox Detector)\n <\/li>\n
  • \n 71.<\/span> \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0647\u0631\u0645\u06cc \u0648\u06cc\u0698\u06af\u06cc (Feature Pyramid Networks – FPN)\n <\/li>\n
  • \n 72.<\/span> RetinaNet \u0648 Focal Loss\n <\/li>\n
  • \n 73.<\/span> EfficientDet \u0648 \u06a9\u0627\u0631\u0627\u06cc\u06cc\n <\/li>\n
  • \n 74.<\/span> \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u0646\u0627\u0633\u0628 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621\n <\/li>\n
  • \n 75.<\/span> \u0645\u0627\u0698\u0648\u0644 DNN \u062f\u0631 OpenCV\n <\/li>\n
  • \n 76.<\/span> \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647 Caffe \u062f\u0631 OpenCV DNN\n <\/li>\n
  • \n 77.<\/span> \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647 TensorFlow \u062f\u0631 OpenCV DNN\n <\/li>\n
  • \n 78.<\/span> \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647 PyTorch \u062f\u0631 OpenCV DNN\n <\/li>\n
  • \n 79.<\/span> \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc YOLO \u062f\u0631 OpenCV\n <\/li>\n
  • \n 80.<\/span> \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc SSD \u062f\u0631 OpenCV\n <\/li>\n
  • \n 81.<\/span> \u0633\u0627\u062e\u062a \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0644\u06cc\u0628\u0644\u200c\u06af\u0630\u0627\u0631\u06cc (LabelImg, CVAT)\n <\/li>\n
  • \n 82.<\/span> \u0641\u0631\u0645\u062a\u200c\u0647\u0627\u06cc bounding box (Pascal VOC, COCO, YOLO)\n <\/li>\n
  • \n 83.<\/span> \u062a\u0642\u0633\u06cc\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 (\u0622\u0645\u0648\u0632\u0634\u060c \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc\u060c \u062a\u0633\u062a)\n <\/li>\n
  • \n 84.<\/span> \u067e\u06cc\u0634\u200c\u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0648 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 (Data Augmentation)\n <\/li>\n
  • \n 85.<\/span> \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 (Loss Function) \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621\n <\/li>\n
  • \n 86.<\/span> \u0633\u0631\u06a9\u0648\u0628 \u063a\u06cc\u0631\u062d\u062f\u0627\u06a9\u062b\u0631\u06cc (Non-Maximum Suppression – NMS)\n <\/li>\n
  • \n 87.<\/span> \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621: Intersection over Union (IoU)\n <\/li>\n
  • \n 88.<\/span> \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621: Precision\u060c Recall \u0648 F1-Score\n <\/li>\n
  • \n 89.<\/span> \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621: Mean Average Precision (mAP)\n <\/li>\n
  • \n 90.<\/span> \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0645\u062f\u0644 YOLO \u0633\u0641\u0627\u0631\u0634\u06cc (\u0645\u0631\u0627\u062d\u0644 \u06a9\u0644\u06cc)\n <\/li>\n
  • \n 91.<\/span> \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0645\u062f\u0644 SSD \u0633\u0641\u0627\u0631\u0634\u06cc (\u0645\u0631\u0627\u062d\u0644 \u06a9\u0644\u06cc)\n <\/li>\n
  • \n 92.<\/span> \u062a\u0646\u0638\u06cc\u0645 \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0648 \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0628\u06cc\u0634\u200c\u0628\u0631\u0627\u0632\u0634 (Overfitting)\n <\/li>\n
  • \n 93.<\/span> \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0646\u062a\u0627\u062c\n <\/li>\n
  • \n 94.<\/span> \u0631\u062f\u06cc\u0627\u0628\u06cc \u0627\u0634\u06cc\u0627\u0621 \u067e\u0633 \u0627\u0632 \u062a\u0634\u062e\u06cc\u0635 (Object Tracking) \u0628\u0627 SORT\/DeepSORT\n <\/li>\n
  • \n 95.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u062f\u0631 \u062c\u0631\u06cc\u0627\u0646\u200c\u0647\u0627\u06cc \u0648\u06cc\u062f\u0626\u0648\u06cc\u06cc \u0632\u0646\u062f\u0647\n <\/li>\n
  • \n 96.<\/span> \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u06a9\u0648\u0686\u06a9 \u0648 \u062f\u0631 \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc \u0634\u0644\u0648\u063a\n <\/li>\n
  • \n 97.<\/span> \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u062f\u0631 \u0634\u0631\u0627\u06cc\u0637 \u0646\u0627\u0645\u0637\u0644\u0648\u0628 (\u0646\u0648\u0631 \u06a9\u0645\u060c \u0645\u0647)\n <\/li>\n
  • \n 98.<\/span> \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644\u200c\u0647\u0627 \u0628\u0631 \u0631\u0648\u06cc \u062f\u0633\u062a\u06af\u0627\u0647\u200c\u0647\u0627\u06cc \u0644\u0628\u0647 (Edge Devices)\n <\/li>\n
  • \n 99.<\/span> \u0645\u0644\u0627\u062d\u0638\u0627\u062a \u0627\u062e\u0644\u0627\u0642\u06cc \u0648 \u0633\u0648\u06af\u06cc\u0631\u06cc \u062f\u0631 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0645\u0627\u0634\u06cc\u0646\n <\/li>\n
  • \n 100.<\/span> \u0622\u06cc\u0646\u062f\u0647 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0648 \u0631\u0648\u0646\u062f\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\n <\/li>\n<\/ul>\n<\/div>\n

    \n
    \n
    \n
    \n
    \n \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 OpenCV<\/title><br \/>\n<\/head><br \/>\n<body><\/p>\n<h2>\u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 OpenCV: \u0628\u0647 \u0645\u0627\u0634\u06cc\u0646\u200c\u0647\u0627 \u0642\u062f\u0631\u062a \u062f\u06cc\u062f\u0646 \u0628\u0628\u062e\u0634\u06cc\u062f!<\/h2>\n<p>\n \u0622\u06cc\u0627 \u062a\u0627 \u0628\u0647 \u062d\u0627\u0644 \u0628\u0647 \u0627\u06cc\u0646 \u0641\u06a9\u0631 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f \u06a9\u0647 \u062e\u0648\u062f\u0631\u0648\u0647\u0627\u06cc \u062e\u0648\u062f\u0631\u0627\u0646 \u0686\u06af\u0648\u0646\u0647 \u062c\u0627\u062f\u0647 \u0648 \u0645\u0648\u0627\u0646\u0639 \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f\u061f \u06cc\u0627 \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u0627\u0645\u0646\u06cc\u062a\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0686\u06af\u0648\u0646\u0647 \u0686\u0647\u0631\u0647\u200c\u0647\u0627 \u0631\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f\u061f \u0631\u0627\u0632 \u062a\u0645\u0627\u0645 \u0627\u06cc\u0646 \u0641\u0646\u0627\u0648\u0631\u06cc\u200c\u0647\u0627\u06cc \u0634\u06af\u0641\u062a\u200c\u0627\u0646\u06af\u06cc\u0632\u060c \u00ab\u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631\u00bb (Computer Vision) \u0648 \u0642\u0644\u0628 \u062a\u067e\u0646\u062f\u0647 \u0622\u0646\u060c \u06cc\u0639\u0646\u06cc \u00ab\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\u00bb (Object Detection) \u0627\u0633\u062a. \u0627\u06cc\u0646 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u0628\u0647 \u0645\u0627\u0634\u06cc\u0646\u200c\u0647\u0627 \u0642\u062f\u0631\u062a \u0645\u06cc\u200c\u062f\u0647\u062f \u062a\u0627 \u062f\u0646\u06cc\u0627\u06cc \u0628\u0635\u0631\u06cc \u0645\u0627 \u0631\u0627 \u062f\u0631\u06a9 \u06a9\u0646\u0646\u062f\u060c \u0627\u0634\u06cc\u0627\u0621 \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0648\u06cc\u062f\u06cc\u0648\u0647\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0631\u062f\u0647 \u0648 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0622\u0646 \u062a\u0635\u0645\u06cc\u0645\u0627\u062a \u0647\u0648\u0634\u0645\u0646\u062f\u0627\u0646\u0647 \u0628\u06af\u06cc\u0631\u0646\u062f.\n <\/p>\n<p>\n \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc “\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 OpenCV” \u062f\u0631\u0648\u0627\u0632\u0647 \u0648\u0631\u0648\u062f \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u062f\u0646\u06cc\u0627\u06cc \u0647\u06cc\u062c\u0627\u0646\u200c\u0627\u0646\u06af\u06cc\u0632 \u0648 \u067e\u0631 \u0627\u0632 \u0641\u0631\u0635\u062a \u0627\u0633\u062a. \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0645\u0627 \u0634\u0645\u0627 \u0631\u0627 \u0642\u062f\u0645 \u0628\u0647 \u0642\u062f\u0645 \u0627\u0632 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0628\u0646\u06cc\u0627\u062f\u06cc\u0646 \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u062a\u0627 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u200c\u062a\u0631\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0647\u0645\u0631\u0627\u0647\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0635\u0631\u0641\u0627\u064b \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0627\u0632 \u062a\u0626\u0648\u0631\u06cc\u200c\u0647\u0627\u06cc \u062e\u0634\u06a9 \u0646\u06cc\u0633\u062a\u061b \u0628\u0644\u06a9\u0647 \u06cc\u06a9 \u0633\u0641\u0631 \u0639\u0645\u0644\u06cc \u0648 \u067e\u0631\u0648\u0698\u0647\u200c\u0645\u062d\u0648\u0631 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0627\u0646\u062a\u0647\u0627\u06cc \u0622\u0646\u060c \u0634\u0645\u0627 \u0646\u0647 \u062a\u0646\u0647\u0627 \u062f\u0627\u0646\u0634\u060c \u0628\u0644\u06a9\u0647 \u0645\u0647\u0627\u0631\u062a \u0633\u0627\u062e\u062a \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u06a9\u0633\u0628 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f. \u0627\u06af\u0631 \u0622\u0645\u0627\u062f\u0647\u200c\u0627\u06cc\u062f \u062a\u0627 \u0622\u06cc\u0646\u062f\u0647 \u0631\u0627 \u0628\u0627 \u062f\u0633\u062a\u0627\u0646 \u062e\u0648\u062f \u0628\u0633\u0627\u0632\u06cc\u062f \u0648 \u0628\u0647 \u062c\u0645\u0639 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u067e\u0631\u062a\u0642\u0627\u0636\u0627 \u0628\u067e\u06cc\u0648\u0646\u062f\u06cc\u062f\u060c \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.\n <\/p>\n<h2>\u062f\u0631\u0628\u0627\u0631\u0647 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0686\u0647 \u0645\u06cc\u200c\u0622\u0645\u0648\u0632\u06cc\u062f\u061f<\/h2>\n<p>\n \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u06cc\u06a9 \u0645\u0633\u06cc\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06a9\u0627\u0645\u0644\u0627\u064b \u0639\u0645\u0644\u06cc \u0648 \u062c\u0627\u0645\u0639 \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0642\u062f\u0631\u062a\u0645\u0646\u062f OpenCV\u060c \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f 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\u0648\u06cc\u062f\u06cc\u0648\u0647\u0627<\/li>\n<li>\u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 (\u0645\u0627\u0646\u0646\u062f Haar Cascades \u0648 HOG)<\/li>\n<li>\u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0628\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 (Deep Learning) \u0628\u0631\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631<\/li>\n<li>\u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u0645\u062f\u0631\u0646 YOLO \u0648 SSD \u0628\u0627 \u0645\u0627\u0698\u0648\u0644 DNN \u062f\u0631 OpenCV<\/li>\n<li>\u062a\u0634\u062e\u06cc\u0635\u060c \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0648 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0627\u0634\u06cc\u0627\u0621 \u062f\u0631 \u0648\u06cc\u062f\u06cc\u0648 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u0646\u062f\u0647 (Real-Time)<\/li>\n<li>\u0633\u0627\u062e\u062a \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0648 \u0648\u0627\u0642\u0639\u06cc \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u062a\u0627 \u0627\u0646\u062a\u0647\u0627 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u06cc\u06a9 \u067e\u0648\u0631\u062a\u0641\u0648\u0644\u06cc\u0648\u06cc \u0642\u0648\u06cc<\/li>\n<\/ul>\n<h2>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u0627\u0646\u06cc \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a\u061f<\/h2>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f\u0627\u0646 \u0628\u0647 \u062f\u0646\u06cc\u0627\u06cc \u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc 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\u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc \u0631\u0628\u0627\u062a\u06cc\u06a9\u060c \u0627\u062a\u0648\u0645\u0627\u0633\u06cc\u0648\u0646 \u0648 \u0627\u06cc\u0646\u062a\u0631\u0646\u062a \u0627\u0634\u06cc\u0627\u0621 (IoT)<\/strong> \u06a9\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u0635\u0631\u06cc \u062f\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u062f\u0627\u0631\u0646\u062f.<\/li>\n<li><strong>\u062a\u062d\u0644\u06cc\u0644\u06af\u0631\u0627\u0646 \u062f\u0627\u062f\u0647 \u0648 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/strong> \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u06af\u0633\u062a\u0631\u0634 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u06a9\u0627\u0631 \u0628\u0627 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\u0645\u062d\u06cc\u0637<\/strong><\/li>\n<ol>\n<li>\u062e\u0648\u0634\u200c\u0622\u0645\u062f\u06af\u0648\u06cc\u06cc \u0648 \u0645\u0639\u0631\u0641\u06cc \u062f\u0648\u0631\u0647<\/li>\n<li>\u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u0686\u06cc\u0633\u062a \u0648 \u0686\u0647 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc\u06cc \u062f\u0627\u0631\u062f\u061f<\/li>\n<li>\u0645\u0639\u0631\u0641\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 OpenCV \u0648 \u062a\u0627\u0631\u06cc\u062e\u0686\u0647 \u0622\u0646<\/li>\n<li>\u0646\u0635\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u0645\u062f\u06cc\u0631\u06cc\u062a \u067e\u06a9\u06cc\u062c\u200c\u0647\u0627 \u0628\u0627 Pip<\/li>\n<li>\u0627\u06cc\u062c\u0627\u062f \u0645\u062d\u06cc\u0637 \u0645\u062c\u0627\u0632\u06cc (Virtual Environment) \u0628\u0631\u0627\u06cc \u067e\u0631\u0648\u0698\u0647<\/li>\n<li>\u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc OpenCV \u0648 NumPy<\/li>\n<li>\u0646\u0635\u0628 \u0648 \u0645\u0639\u0631\u0641\u06cc \u0645\u062d\u06cc\u0637 \u06a9\u062f\u0646\u0648\u06cc\u0633\u06cc (\u0645\u0627\u0646\u0646\u062f VS Code \u06cc\u0627 Jupyter)<\/li>\n<li>\u0633\u0627\u062e\u062a\u0627\u0631 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u062f\u06cc\u062c\u06cc\u062a\u0627\u0644: \u067e\u06cc\u06a9\u0633\u0644\u200c\u0647\u0627 \u0648 \u06a9\u0627\u0646\u0627\u0644\u200c\u0647\u0627\u06cc \u0631\u0646\u06af\u06cc<\/li>\n<li>\u062e\u0648\u0627\u0646\u062f\u0646 \u0648 \u0646\u0645\u0627\u06cc\u0634 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 `cv2.imread` \u0648 `cv2.imshow`<\/li>\n<li>\u0630\u062e\u06cc\u0631\u0647 \u06a9\u0631\u062f\u0646 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 `cv2.imwrite`<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f2: \u0639\u0645\u0644\u06cc\u0627\u062a \u067e\u0627\u06cc\u0647\u200c\u0627\u06cc \u0628\u0631 \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631<\/strong><\/li>\n<ol start=\"11\">\n<li>\u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u067e\u06cc\u06a9\u0633\u0644\u200c\u0647\u0627 \u0648 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0622\u0646\u200c\u0647\u0627<\/li>\n<li>\u0628\u0631\u0634 (Cropping) \u0628\u062e\u0634\u06cc \u0627\u0632 \u062a\u0635\u0648\u06cc\u0631<\/li>\n<li>\u062a\u063a\u06cc\u06cc\u0631 \u0627\u0646\u062f\u0627\u0632\u0647 (Resizing) \u062a\u0635\u0648\u06cc\u0631<\/li>\n<li>\u0686\u0631\u062e\u0634 (Rotating) \u062a\u0635\u0648\u06cc\u0631<\/li>\n<li>\u062a\u0631\u0633\u06cc\u0645 \u0627\u0634\u06a9\u0627\u0644 \u0647\u0646\u062f\u0633\u06cc: \u062e\u0637\u060c \u062f\u0627\u06cc\u0631\u0647 \u0648 \u0645\u0633\u062a\u0637\u06cc\u0644<\/li>\n<li>\u0646\u0648\u0634\u062a\u0646 \u0645\u062a\u0646 \u0628\u0631 \u0631\u0648\u06cc \u062a\u0635\u0648\u06cc\u0631<\/li>\n<li>\u0641\u0636\u0627\u0647\u0627\u06cc \u0631\u0646\u06af\u06cc \u0645\u062e\u062a\u0644\u0641 (Grayscale, HSV, LAB)<\/li>\n<li>\u062a\u0628\u062f\u06cc\u0644 \u0628\u06cc\u0646 \u0641\u0636\u0627\u0647\u0627\u06cc \u0631\u0646\u06af\u06cc<\/li>\n<li>\u062a\u0642\u0633\u06cc\u0645 \u0648 \u0627\u062f\u063a\u0627\u0645 \u06a9\u0627\u0646\u0627\u0644\u200c\u0647\u0627\u06cc \u0631\u0646\u06af\u06cc<\/li>\n<li>\u0645\u0628\u0627\u0646\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u0648\u06cc\u062f\u06cc\u0648: \u062e\u0648\u0627\u0646\u062f\u0646 \u0627\u0632 \u0641\u0627\u06cc\u0644 \u0648 \u0648\u0628\u200c\u06a9\u0645<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f3: \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631<\/strong><\/li>\n<ol start=\"21\">\n<li>\u0639\u0645\u0644\u06cc\u0627\u062a \u062d\u0633\u0627\u0628\u06cc \u0628\u0631 \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 (\u062c\u0645\u0639 \u0648 \u062a\u0641\u0631\u06cc\u0642)<\/li>\n<li>\u0639\u0645\u0644\u06cc\u0627\u062a \u0628\u06cc\u062a\u06cc (AND, OR, NOT, XOR) \u0648 \u0645\u0627\u0633\u06a9\u200c\u06af\u0630\u0627\u0631\u06cc<\/li>\n<li>\u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 \u062a\u0635\u0648\u06cc\u0631 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0622\u0646<\/li>\n<li>\u06cc\u06a9\u0646\u0648\u0627\u062e\u062a\u200c\u0633\u0627\u0632\u06cc \u0647\u06cc\u0633\u062a\u0648\u06af\u0631\u0627\u0645 (Histogram Equalization)<\/li>\n<li>\u0645\u0641\u0647\u0648\u0645 \u0641\u06cc\u0644\u062a\u0631\u0647\u0627 \u0648 \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646 (Convolution)<\/li>\n<li>\u0627\u0639\u0645\u0627\u0644 \u0641\u06cc\u0644\u062a\u0631\u0647\u0627\u06cc \u0645\u062d\u0648\u06a9\u0646\u0646\u062f\u0647 (Blurring): \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646\u060c \u06af\u0627\u0648\u0633\u06cc\u060c \u0645\u06cc\u0627\u0646\u0647<\/li>\n<li>\u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u0648\u0631\u0641\u0648\u0644\u0648\u0698\u06cc\u06a9\u06cc: \u0641\u0631\u0633\u0627\u06cc\u0634 (Erosion) \u0648 \u0627\u062a\u0633\u0627\u0639 (Dilation)<\/li>\n<li>\u0639\u0645\u0644\u06cc\u0627\u062a \u0628\u0627\u0632 \u06a9\u0631\u062f\u0646 (Opening) \u0648 \u0628\u0633\u062a\u0646 (Closing)<\/li>\n<li>\u0622\u0633\u062a\u0627\u0646\u0647\u200c\u06af\u0630\u0627\u0631\u06cc (Thresholding): \u0633\u0627\u062f\u0647\u060c \u062a\u0637\u0628\u06cc\u0642\u06cc \u0648 Otsu<\/li>\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0644\u0628\u0647 \u0628\u0627 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 Canny<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f4: \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0648\u06cc\u0698\u06af\u06cc \u0648 \u06a9\u0627\u0646\u062a\u0648\u0631\u0647\u0627<\/strong><\/li>\n<ol start=\"31\">\n<li>\u0645\u0641\u0647\u0648\u0645 \u06a9\u0627\u0646\u062a\u0648\u0631 (Contour) \u06cc\u0627 \u062e\u0637\u0648\u0637 \u067e\u06cc\u0631\u0627\u0645\u0648\u0646\u06cc<\/li>\n<li>\u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f\u0646 \u0648 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0627\u0646\u062a\u0648\u0631\u0647\u0627<\/li>\n<li>\u0645\u0631\u062a\u0628\u200c\u0633\u0627\u0632\u06cc \u06a9\u0627\u0646\u062a\u0648\u0631\u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0645\u0633\u0627\u062d\u062a<\/li>\n<li>\u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u06a9\u0627\u0646\u062a\u0648\u0631: \u0645\u0633\u0627\u062d\u062a\u060c \u0645\u062d\u06cc\u0637 \u0648 \u0645\u0631\u06a9\u0632<\/li>\n<li>\u062a\u0642\u0631\u06cc\u0628 \u06a9\u0627\u0646\u062a\u0648\u0631 \u0648 \u0633\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u0634\u06a9\u0627\u0644<\/li>\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06a9\u0627\u0644 \u0647\u0646\u062f\u0633\u06cc \u0633\u0627\u062f\u0647 (\u0645\u0631\u0628\u0639\u060c \u062f\u0627\u06cc\u0631\u0647 \u0648 …)<\/li>\n<li>\u0645\u0641\u0647\u0648\u0645 Convex Hull<\/li>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0628\u062f\u06cc\u0644 \u0647\u0627\u0641 (Hough Transform) \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062e\u0637<\/li>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0628\u062f\u06cc\u0644 \u0647\u0627\u0641 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062f\u0627\u06cc\u0631\u0647<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u0639\u0645\u0644\u06cc: \u0634\u0645\u0627\u0631\u0634 \u0627\u0634\u06cc\u0627\u0621 \u062f\u0631 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0633\u0627\u062f\u0647<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f5: \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621<\/strong><\/li>\n<ol start=\"41\">\n<li>\u062a\u0637\u0628\u06cc\u0642 \u0627\u0644\u06af\u0648 (Template Matching)<\/li>\n<li>\u0645\u062d\u062f\u0648\u062f\u06cc\u062a\u200c\u0647\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u0627\u0644\u06af\u0648<\/li>\n<li>\u0645\u0641\u0647\u0648\u0645 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u0647\u0627\u06cc \u0622\u0628\u0634\u0627\u0631\u06cc (Cascade Classifiers)<\/li>\n<li>\u0645\u0639\u0631\u0641\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 Haar Cascades<\/li>\n<li>\u0622\u0645\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f Haar<\/li>\n<li>\u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f Haar \u0633\u0641\u0627\u0631\u0634\u06cc (\u0628\u062e\u0634 \u062a\u0626\u0648\u0631\u06cc)<\/li>\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0686\u0647\u0631\u0647 \u0628\u0627 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647<\/li>\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0686\u0634\u0645 \u0648 \u0644\u0628\u062e\u0646\u062f<\/li>\n<li>\u0645\u0639\u0631\u0641\u06cc \u062a\u0648\u0635\u06cc\u0641\u200c\u06af\u0631 HOG (Histogram of Oriented Gradients)<\/li>\n<li>\u062a\u0634\u062e\u06cc\u0635 \u0639\u0627\u0628\u0631 \u067e\u06cc\u0627\u062f\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 HOG<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f6: \u0631\u062f\u06cc\u0627\u0628\u06cc \u0627\u0634\u06cc\u0627\u0621 \u062f\u0631 \u0648\u06cc\u062f\u06cc\u0648<\/strong><\/li>\n<ol start=\"51\">\n<li>\u0645\u0641\u0647\u0648\u0645 \u0631\u062f\u06cc\u0627\u0628\u06cc (Tracking) \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u062a\u0634\u062e\u06cc\u0635 (Detection)<\/li>\n<li>\u0631\u062f\u06cc\u0627\u0628\u06cc \u0628\u0631 \u0627\u0633\u0627\u0633 \u0631\u0646\u06af \u062f\u0631 \u0641\u0636\u0627\u06cc HSV<\/li>\n<li>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 MeanShift \u0628\u0631\u0627\u06cc \u0631\u062f\u06cc\u0627\u0628\u06cc<\/li>\n<li>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 CamShift \u0628\u0631\u0627\u06cc \u0631\u062f\u06cc\u0627\u0628\u06cc<\/li>\n<li>\u0645\u0639\u0631\u0641\u06cc API \u0631\u062f\u06cc\u0627\u0628\u200c\u0647\u0627\u06cc \u0645\u062f\u0631\u0646 \u062f\u0631 OpenCV<\/li>\n<li>\u06a9\u0627\u0631 \u0628\u0627 \u0631\u062f\u06cc\u0627\u0628 KCF<\/li>\n<li>\u06a9\u0627\u0631 \u0628\u0627 \u0631\u062f\u06cc\u0627\u0628 CSRT<\/li>\n<li>\u06a9\u0627\u0631 \u0628\u0627 \u0631\u062f\u06cc\u0627\u0628 MOSSE<\/li>\n<li>\u0645\u0642\u0627\u06cc\u0633\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0631\u062f\u06cc\u0627\u0628\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u0639\u0645\u0644\u06cc: \u0631\u062f\u06cc\u0627\u0628\u06cc \u06cc\u06a9 \u062a\u0648\u067e \u0645\u062a\u062d\u0631\u06a9 \u062f\u0631 \u0648\u06cc\u062f\u06cc\u0648<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f7: \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u0628\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631<\/strong><\/li>\n<ol start=\"61\">\n<li>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<\/li>\n<li>\u0645\u0641\u0647\u0648\u0645 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc (ANN)<\/li>\n<li>\u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u06cc (CNN) \u0686\u06af\u0648\u0646\u0647 \u06a9\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f\u061f<\/li>\n<li>\u0644\u0627\u06cc\u0647 \u06a9\u0627\u0646\u0648\u0644\u0648\u0634\u0646\u060c \u062a\u0627\u0628\u0639 \u0641\u0639\u0627\u0644\u200c\u0633\u0627\u0632 ReLU \u0648 Pooling<\/li>\n<li>\u0645\u0641\u0647\u0648\u0645 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647 (Pre-trained Models)<\/li>\n<li>\u0645\u0639\u0631\u0641\u06cc \u0645\u0627\u0698\u0648\u0644 DNN \u062f\u0631 OpenCV<\/li>\n<li>\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u0641\u0631\u06cc\u0645\u0648\u0631\u06a9 Caffe<\/li>\n<li>\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u0641\u0631\u06cc\u0645\u0648\u0631\u06a9 TensorFlow<\/li>\n<li>\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0627\u0632 \u0641\u0631\u06cc\u0645\u0648\u0631\u06a9 Darknet (YOLO)<\/li>\n<li>\u0645\u0641\u0647\u0648\u0645 Blob \u062f\u0631 OpenCV \u0648 \u0627\u06cc\u062c\u0627\u062f \u0622\u0646 \u0628\u0627 `blobFromImage`<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f8: \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc Deep Learning (SSD)<\/strong><\/li>\n<ol start=\"71\">\n<li>\u0645\u0639\u0645\u0627\u0631\u06cc Single Shot Detector (SSD) \u0686\u06cc\u0633\u062a\u061f<\/li>\n<li>\u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 SSD<\/li>\n<li>\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644 SSD \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0648\u0632\u0634\u200c\u062f\u06cc\u062f\u0647 \u062f\u0631 OpenCV<\/li>\n<li>\u0627\u0646\u062c\u0627\u0645 \u067e\u06cc\u0634\u200c\u067e\u0631\u062f\u0627\u0632\u0634 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0645\u062f\u0644 SSD<\/li>\n<li>\u0627\u0631\u0633\u0627\u0644 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0648 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0631\u0648\u062c\u06cc\u200c\u0647\u0627<\/li>\n<li>\u062a\u0641\u0633\u06cc\u0631 \u062e\u0631\u0648\u062c\u06cc\u200c\u0647\u0627\u06cc \u0645\u062f\u0644 SSD<\/li>\n<li>\u062a\u0631\u0633\u06cc\u0645 \u062c\u0639\u0628\u0647\u200c\u0647\u0627\u06cc \u0645\u0631\u0632\u06cc (Bounding Boxes) \u0648 \u0646\u0645\u0627\u06cc\u0634 \u0646\u062a\u0627\u06cc\u062c<\/li>\n<li>\u0627\u0639\u0645\u0627\u0644 \u0641\u06cc\u0644\u062a\u0631 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 (Confidence Threshold)<\/li>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Non-Max Suppression (NMS) \u0628\u0631\u0627\u06cc \u062d\u0630\u0641 \u062c\u0639\u0628\u0647\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u0639\u0645\u0644\u06cc: \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0645\u062e\u062a\u0644\u0641 \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 SSD<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f9: \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc Deep Learning (YOLO)<\/strong><\/li>\n<ol start=\"81\">\n<li>\u0645\u0639\u0645\u0627\u0631\u06cc YOLO (You Only Look Once) \u0686\u06cc\u0633\u062a\u061f<\/li>\n<li>\u062a\u0641\u0627\u0648\u062a\u200c\u0647\u0627\u06cc YOLO \u0648 SSD<\/li>\n<li>\u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062f\u0644 YOLOv3 (\u06cc\u0627 \u0646\u0633\u062e\u0647\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u062a\u0631) \u0628\u0627 OpenCV<\/li>\n<li>\u0622\u0645\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc \u0628\u0631\u0627\u06cc YOLO<\/li>\n<li>\u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0631\u0648\u062c\u06cc \u0627\u0632 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u067e\u0627\u06cc\u0627\u0646\u06cc YOLO<\/li>\n<li>\u067e\u0631\u062f\u0627\u0632\u0634 \u062e\u0631\u0648\u062c\u06cc\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u062c\u0639\u0628\u0647\u200c\u0647\u0627\u060c \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0648 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627<\/li>\n<li>\u0627\u0639\u0645\u0627\u0644 \u0641\u06cc\u0644\u062a\u0631 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0648 NMS \u0628\u0631\u0627\u06cc YOLO<\/li>\n<li>\u062a\u0631\u0633\u06cc\u0645 \u0646\u062a\u0627\u06cc\u062c \u0646\u0647\u0627\u06cc\u06cc \u0628\u0631 \u0631\u0648\u06cc \u062a\u0635\u0648\u06cc\u0631<\/li>\n<li>\u0627\u062c\u0631\u0627\u06cc YOLO \u0628\u0631 \u0631\u0648\u06cc \u0648\u06cc\u062f\u06cc\u0648 \u0628\u0647 \u0635\u0648\u0631\u062a Real-Time<\/li>\n<li>\u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0633\u0631\u0639\u062a \u0627\u062c\u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 GPU (\u0628\u062e\u0634 \u062a\u0626\u0648\u0631\u06cc \u0648 \u0646\u06a9\u0627\u062a)<\/li>\n<\/ol>\n<li><strong>\u0628\u062e\u0634 \u06f1\u06f0: \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0646\u0647\u0627\u06cc\u06cc \u0648 \u062c\u0645\u0639\u200c\u0628\u0646\u062f\u06cc<\/strong><\/li>\n<ol start=\"91\">\n<li>\u067e\u0631\u0648\u0698\u0647 \u06f1: \u0633\u0627\u062e\u062a \u0633\u06cc\u0633\u062a\u0645 \u062a\u0634\u062e\u06cc\u0635 \u0686\u0647\u0631\u0647 \u0648 \u0634\u0645\u0627\u0631\u0634 \u0627\u0641\u0631\u0627\u062f \u062f\u0631 \u0648\u06cc\u062f\u06cc\u0648<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u06f2: \u0633\u0627\u062e\u062a \u0634\u0645\u0627\u0631\u0646\u062f\u0647 \u062e\u0648\u062f\u0631\u0648 \u062f\u0631 \u06cc\u06a9 \u0648\u06cc\u062f\u06cc\u0648\u06cc \u062a\u0631\u0627\u0641\u06cc\u06a9 \u0628\u0627 YOLO<\/li>\n<li>\u067e\u0631\u0648\u0698\u0647 \u06f3: \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0633\u06cc\u0633\u062a\u0645 \u0646\u0638\u0627\u0631\u062a \u0627\u0645\u0646\u06cc\u062a\u06cc \u0633\u0627\u062f\u0647<\/li>\n<li>\u0646\u06a9\u0627\u062a \u0645\u0647\u0645 \u0628\u0631\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u06a9\u062f OpenCV<\/li>\n<li>\u0686\u06af\u0648\u0646\u0647 \u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f \u0633\u0641\u0627\u0631\u0634\u06cc YOLO \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u0645\u061f (\u0645\u0631\u0648\u0631\u06cc \u0628\u0631 \u0645\u0631\u0627\u062d\u0644)<\/li>\n<li>\u0645\u0639\u0631\u0641\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627 \u0648 \u0641\u0631\u06cc\u0645\u0648\u0631\u06a9\u200c\u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 (PyTorch, TensorFlow)<\/li>\n<li>\u0645\u0633\u06cc\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0634\u0645\u0627 \u067e\u0633 \u0627\u0632 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647<\/li>\n<li>\u0686\u06af\u0648\u0646\u0647 \u06cc\u06a9 \u067e\u0648\u0631\u062a\u0641\u0648\u0644\u06cc\u0648\u06cc \u0642\u0648\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u062f \u0628\u0633\u0627\u0632\u06cc\u0645\u061f<\/li>\n<li>\u0645\u0646\u0627\u0628\u0639 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647 \u0648 \u062a\u0645\u0631\u06cc\u0646<\/li>\n<li>\u062c\u0645\u0639\u200c\u0628\u0646\u062f\u06cc \u0646\u0647\u0627\u06cc\u06cc \u062f\u0648\u0631\u0647 \u0648 \u0633\u062e\u0646 \u067e\u0627\u06cc\u0627\u0646\u06cc<\/li>\n<\/ol>\n<\/ul>\n<p><\/body><br \/>\n<\/html><\/div>\n<div\r\n style=\"border: 2px dashed #4CAF50; border-radius: 16px; padding: 20px; background: #f9fff9; font-family: 'IRANSans', sans-serif;\">\r\n <h2 style=\"color: #2E7D32; margin-top: 0;\">\ud83d\udcda \u0645\u062d\u062a\u0648\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0622\u0645\u0648\u0632\u0634\u06cc (\u067e\u06a9\u06cc\u062c \u06a9\u0627\u0645\u0644)<\/h2>\r\n <div\r\n style=\"background: #E8F5E9; border-radius: 12px; padding: 15px 20px; margin-bottom: 20px; border: 1px solid #A5D6A7;\">\r\n <h3 style=\"color: #1B5E20; margin-top: 0;\">\ud83d\udca1 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u06cc\u06a9 \u0646\u0633\u062e\u0647\u0654 \u06a9\u0627\u0645\u0644 \u0648 \u062c\u0627\u0645\u0639 \u0627\u0633\u062a<\/h3>\r\n <p style=\"font-size:16px; line-height:1.8; color:#2E7D32; margin:0;\"> \u062a\u0645\u0627\u0645\u06cc \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u0642\u0627\u0644\u0628 \u06cc\u06a9\r\n \u0628\u0633\u062a\u0647\u200c\u06cc \u06a9\u0627\u0645\u0644 \u0648 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0634\u0627\u0645\u0644 \u062a\u0645\u0627\u0645 \u0646\u0633\u062e\u0647\u200c\u0647\u0627 \u0648 \u0641\u0627\u06cc\u0644\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f\u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0633\u062a. <\/p>\r\n <\/div>\r\n <h3 style=\"color: #2E7D32;\">\ud83c\udf81 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a \u06a9\u0627\u0645\u0644 \u0628\u0633\u062a\u0647 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc<\/h3>\r\n\r\n\t\r\n<ul style=\"list-style-type: '\u2705 '; padding-left: 20px; font-size: 16px; line-height: 1.8;\">\r\n <li><strong>\u0648\u06cc\u062f\u06cc\u0648\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u0622\u0645\u0648\u0632\u0634 \u0642\u062f\u0645\u200c\u0628\u0647\u200c\u0642\u062f\u0645\u060c \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0648 \u0642\u0627\u0628\u0644 \u0641\u0647\u0645<\/li>\r\n <li><strong>\u067e\u0627\u062f\u06a9\u0633\u062a\u200c\u0647\u0627\u06cc \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u062a\u0648\u0636\u06cc\u062d \u0645\u0641\u0627\u0647\u06cc\u0645 \u06a9\u0644\u06cc\u062f\u06cc \u0648 \u0646\u06a9\u0627\u062a \u062a\u06a9\u0645\u06cc\u0644\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 PDF \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u0634\u0627\u0645\u0644 \u06a9\u0644\u06cc\u0647\u0654 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627 \u0648 \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u062e\u0644\u0627\u0635\u0647 \u0646\u06a9\u0627\u062a \u0648\u06cc\u062f\u06cc\u0648\u0647\u0627 \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a\u200c\u0647\u0627 \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0645\u0646\u0627\u0633\u0628 \u0645\u0631\u0648\u0631 \u0633\u0631\u06cc\u0639 \u0648 \u062c\u0645\u0639\u200c\u0628\u0646\u062f\u06cc \u0645\u0628\u0627\u062d\u062b<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u0646\u06a9\u062a\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062e\u0648\u062f\u0645\u0648\u0646\u06cc) \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0632\u0628\u0627\u0646 \u0633\u0627\u062f\u0647 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u0646\u06a9\u062a\u0647 \u0631\u0633\u0645\u06cc \u0641\u0627\u0631\u0633\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0646\u06af\u0627\u0631\u0634 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f\u060c \u0639\u0644\u0645\u06cc \u0648 \u0645\u0646\u0627\u0633\u0628 \u0686\u0627\u067e<\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u062a\u0634\u0631\u06cc\u062d\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u0647\u0631 \u0633\u0624\u0627\u0644 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u067e\u0627\u0633\u062e \u06a9\u0627\u0645\u0644 \u0648 \u0634\u0641\u0627\u0641 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u061b \u0645\u0646\u0627\u0633\u0628 \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0631\u0641\u0639 \u0627\u0628\u0647\u0627\u0645.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u0686\u0647\u0627\u0631\u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF (\u0646\u0633\u062e\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639)<\/strong><br>\r\n \u2014 \u067e\u0627\u0633\u062e\u200c\u0647\u0627 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u067e\u0633 \u0627\u0632 \u0633\u0624\u0627\u0644 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u0646\u062f\u061b \u0645\u0646\u0627\u0633\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639 \u0648 \u062a\u062b\u0628\u06cc\u062a \u0645\u0637\u0627\u0644\u0628.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u0686\u0647\u0627\u0631\u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF (\u0646\u0633\u062e\u0647 \u062e\u0648\u062f\u0622\u0632\u0645\u0627\u06cc\u06cc \u067e\u0627\u06cc\u0627\u0646\u200c\u0628\u062e\u0634)<\/strong><br>\r\n \u2014 \u067e\u0627\u0633\u062e\u200c\u0647\u0627 \u062f\u0631 \u0627\u0646\u062a\u0647\u0627\u06cc \u0647\u0631 \u0628\u062e\u0634 \u0622\u0645\u062f\u0647\u200c\u0627\u0646\u062f\u061b \u0645\u0646\u0627\u0633\u0628 \u0622\u0632\u0645\u0648\u0646 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0633\u0646\u062c\u0634 \u0645\u06cc\u0632\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u062f\u0631\u0633\u062a \/ \u0646\u0627\u062f\u0631\u0633\u062a (True \/ False) \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u0645\u0646\u0627\u0633\u0628 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0642\u062a \u0645\u0641\u0647\u0648\u0645\u06cc \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0635\u062d\u06cc\u062d \u06cc\u0627 \u0646\u0627\u062f\u0631\u0633\u062a \u0628\u0648\u062f\u0646 \u06af\u0632\u0627\u0631\u0647\u200c\u0647\u0627.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u062c\u0627\u06cc \u062e\u0627\u0644\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u062a\u0642\u0648\u06cc\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0641\u0639\u0627\u0644 \u0648 \u062a\u0633\u0644\u0637 \u0628\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc.\r\n <\/li>\r\n<\/ul>\r\n\t\r\n\t\r\n\t\r\n\t\r\n <p style=\"color: #388E3C; font-weight: bold; font-size: 18px; margin-top: 20px;\"> \ud83c\udfaf \u0627\u06cc\u0646 \u0628\u0633\u062a\u0647 \u06cc\u06a9 \u062f\u0648\u0631\u0647\u0654 \u0622\u0645\u0648\u0632\u0634\u06cc \u06a9\u0627\u0645\u0644 \u0648\r\n \u0686\u0646\u062f\u0644\u0627\u06cc\u0647 \u0627\u0633\u062a\u061b \u0634\u0627\u0645\u0644 \u0622\u0645\u0648\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631\u06cc\u060c \u0635\u0648\u062a\u06cc\u060c \u06a9\u062a\u0627\u0628\u200c\u0647\u0627\u060c \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627 \u0648 \u062e\u0648\u062f\u0622\u0632\u0645\u0627\u06cc\u06cc . <\/p>\r\n <hr style=\"border: none; border-top: 1px dashed #81C784; margin: 20px 0;\">\r\n <h3 style=\"color: #2E7D32;\">\u2139\ufe0f \u0646\u06a9\u0627\u062a \u0645\u0647\u0645 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f<\/h3>\r\n <ul style=\"list-style-type: '\ud83d\udd38 '; padding-left: 20px; font-size: 15px; line-height: 1.9;\">\r\n <li>\u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a <strong>\u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u06a9\u0627\u0645\u0644<\/strong> \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0646\u0633\u062e\u0647\u0654 \u0686\u0627\u067e\u06cc \u0646\u062f\u0627\u0631\u062f.<\/li>\r\n <li>\u062a\u0645\u0627\u0645\u06cc \u0641\u0627\u06cc\u0644\u200c\u0647\u0627 \u0648 \u06a9\u062a\u0627\u0628\u200c\u0647\u0627 <strong>\u06a9\u0627\u0645\u0644\u0627\u064b \u0641\u0627\u0631\u0633\u06cc<\/strong> \u0647\u0633\u062a\u0646\u062f.<\/li>\r\n <li><strong>\u062a\u0648\u062c\u0647:<\/strong> \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627\u06cc \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u062f\u0648\u0631\u0647 \u0637\u06cc <strong>\u06f4\u06f8 \u0633\u0627\u0639\u062a<\/strong> \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/li>\r\n <li>\u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0646\u06cc\u0633\u062a\u061b \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/li>\r\n <li>\u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 <strong>09395106248<\/strong> \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f.<\/li>\r\n <li>\u0627\u06af\u0631 \u067e\u0631\u062f\u0627\u062e\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0648\u0644\u06cc \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0646\u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f\u060c \u0646\u0627\u0645 \u0648 \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u06a9\u0646\u06cc\u062f \u062a\u0627\r\n \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0631\u0633\u0627\u0644 \u0634\u0648\u0646\u062f.<\/li>\r\n <\/ul>\r\n <p style=\"font-size: 16px; line-height: 1.8; margin-top: 15px;\"> \ud83d\udcac \u0631\u0627\u0647\u200c\u0647\u0627\u06cc \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc:<br> \u0648\u0627\u062a\u0633\u200c\u0627\u067e \u06cc\u0627 \u067e\u06cc\u0627\u0645\u06a9:\r\n <strong>09395106248<\/strong><br> \u062a\u0644\u06af\u0631\u0627\u0645: <strong>@ma_limbs<\/strong> <\/p>\r\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 OpenCV \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621 \u0628\u0627 OpenCV: \u0628\u0647 \u0645\u0627\u0634\u06cc\u0646\u200c\u0647\u0627 \u0642\u062f\u0631\u062a \u062f\u06cc\u062f\u0646 \u0628\u0628\u062e\u0634\u06cc\u062f! \u0622\u06cc\u0627 \u062a\u0627 \u0628\u0647 \u062d\u0627\u0644 \u0628\u0647 \u0627\u06cc\u0646 \u0641\u06a9\u0631 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f \u06a9\u0647 \u062e\u0648\u062f\u0631\u0648\u0647\u0627\u06cc \u062e\u0648\u062f\u0631\u0627\u0646 \u0686\u06af\u0648\u0646\u0647 \u062c\u0627\u062f\u0647 \u0648 \u0645\u0648\u0627\u0646\u0639 \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f\u061f \u06cc\u0627 \u0633…<\/p>\n","protected":false},"featured_media":67493,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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