{"id":38832,"date":"2024-11-02T00:57:26","date_gmt":"2024-11-02T00:57:26","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38832"},"modified":"2024-11-26T06:43:13","modified_gmt":"2024-11-26T06:43:13","slug":"opencv-%ea%b0%95%ec%a2%8c-%ea%b0%9d%ec%b2%b4-%ea%b2%80%ec%b6%9c%ea%b3%bc-%ec%8b%a4%ec%8b%9c%ea%b0%84-%ea%b2%80%ec%b6%9c-%ec%b0%a8%ec%9d%b4-%ec%9d%b4%ed%95%b4","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38832\/","title":{"rendered":"OpenCV \uac15\uc88c, \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c \ucc28\uc774 \uc774\ud574"},"content":{"rendered":"<p><body><\/p>\n<p>OpenCV\ub294 \uc774\ubbf8\uc9c0 \ubc0f \ube44\ub514\uc624 \ucc98\ub9ac\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc758 \uac1c\ub150\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\uac8c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud30c\uc774\uc36c\uc744 \uc0ac\uc6a9\ud558\uc5ec OpenCV \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc774\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uac1d\uccb4 \uac80\ucd9c\uc758 \uae30\ucd08<\/h2>\n<p>\uac1d\uccb4 \uac80\ucd9c(Object Detection)\uc740 \uc774\ubbf8\uc9c0\ub098 \uc601\uc0c1\uc5d0\uc11c \ud2b9\uc815 \uac1d\uccb4\ub97c \ucc3e\uace0 \uc774\ub97c \ud45c\uc2dc\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uac80\ucd9c \uacfc\uc815\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e4\uc74c \ub450 \uac00\uc9c0 \ub2e8\uacc4\ub85c \ub098\ub204\uc5b4\uc9d1\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\ud2b9\uc9d5 \ucd94\ucd9c(Feature Extraction):<\/strong> \uac1d\uccb4\uc5d0 \ub300\ud55c \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud558\uc5ec \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uac80\ucd9c\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ud074\ub798\uc2a4 \uc608\uce21(Class Prediction):<\/strong> \ucd94\ucd9c\ud55c \ud2b9\uc9d5\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac1d\uccb4\uc758 \ud074\ub798\uc2a4\ub97c \uc608\uce21\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h3>1.1 \ud2b9\uc9d5 \ucd94\ucd9c \ubc29\ubc95<\/h3>\n<p>\ud2b9\uc9d5 \ucd94\ucd9c\uc740 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc758 \uc911\uc694\ud55c \ubd80\ubd84\uc73c\ub85c, \uc5ec\ub7ec \uc54c\uace0\ub9ac\uc998\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 Haar Cascade, HOG(\ud788\uc2a4\ud1a0\uadf8\ub7a8 \uc624\ub9ac\uc5d4\ud14c\uc774\uc158 \uadf8\ub798\ub514\uc5b8\ud2b8), YOLO(You Only Look Once) \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \ubc29\ubc95\uc740 \ud2b9\uc815 \uc0c1\ud669\uc5d0\uc11c \ub354 \ud6a8\uacfc\uc801\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>1.2 OpenCV\ub97c \uc774\uc6a9\ud55c \uac1d\uccb4 \uac80\ucd9c \uc608\uc81c<\/h3>\n<p>\uc544\ub798\ub294 OpenCV\uc5d0\uc11c Haar Cascade\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5bc\uad74\uc744 \uac80\ucd9c\ud558\ub294 \uae30\ubcf8 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>import cv2\n\n# Haar Cascade \ubd84\ub958\uae30\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.\nface_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')\n\n# \uc774\ubbf8\uc9c0\ub97c \ubd88\ub7ec\uc635\ub2c8\ub2e4.\nimage = cv2.imread('image.jpg')\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n# \uc5bc\uad74\uc744 \uac80\ucd9c\ud569\ub2c8\ub2e4.\nfaces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)\n\n# \uacb0\uacfc\ub97c \ucd9c\ub825\ud569\ub2c8\ub2e4.\nfor (x, y, w, h) in faces:\n    cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 0), 2)\n\n# \uc774\ubbf8\uc9c0 \ud45c\uc2dc\ncv2.imshow('Detected Faces', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n<p>\uc774 \ucf54\ub4dc\ub294 Haar Cascade \ubd84\ub958\uae30\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \ucc98\ub9ac\ud558\uace0 \uc5bc\uad74\uc744 \uac80\ucd9c\ud558\uc5ec \uc0ac\uac01\ud615\uc73c\ub85c \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/p>\n<h2>2. \uc2e4\uc2dc\uac04 \uac80\ucd9c<\/h2>\n<p>\uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c(Real-time Object Detection)\uc740 \ube44\ub514\uc624 \uc2a4\ud2b8\ub9bc\uc5d0\uc11c \uac1d\uccb4\ub97c \uc9c0\uc18d\uc801\uc73c\ub85c \uac80\ucd9c\ud558\ub294 \uacfc\uc815\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \uc774\ub294 CCTV, \uc790\uc728\uc8fc\ud589\ucc28, \ub85c\ubd07 \ube44\uc804 \ub4f1\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h3>2.1 \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc758 \ud544\uc694\uc131<\/h3>\n<p>\ud604\uc7ac\uc758 \ub2e4\uc591\ud55c \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc774 \uc694\uad6c\ub429\ub2c8\ub2e4. \uc989\uac01\uc801\uc778 \ubc18\uc751\uc774 \ud544\uc694\ud55c \uacbd\uc6b0, \uc608\ub97c \ub4e4\uc5b4 \ubcf4\uc548 \uac10\uc2dc \uc2dc\uc2a4\ud15c, \uc0ac\ub78c \ucd94\uc801 \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc2e4\uc2dc\uac04 \ucc98\ub9ac\ub294 \ud6a8\uc728\uc131\uacfc \uc18d\ub3c4\uac00 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n<h3>2.2 OpenCV\ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc608\uc81c<\/h3>\n<p>\uc544\ub798\ub294 OpenCV\uc640 Haar Cascade\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc6f9\ucea0\uc5d0\uc11c \uc2e4\uc2dc\uac04\uc73c\ub85c \uc5bc\uad74\uc744 \uac80\ucd9c\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>import cv2\n\n# Haar Cascade \ubd84\ub958\uae30\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.\nface_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')\n\n# \uc6f9\ucea0\uc744 \uc5f4\uc5b4\uc90d\ub2c8\ub2e4.\ncap = cv2.VideoCapture(0)\n\nwhile True:\n    # \ud504\ub808\uc784\uc744 \uc77d\uc2b5\ub2c8\ub2e4.\n    ret, frame = cap.read()\n\n    # \uadf8\ub808\uc774 \uc774\ubbf8\uc9c0\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.\n    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n\n    # \uc5bc\uad74\uc744 \uac80\ucd9c\ud569\ub2c8\ub2e4.\n    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)\n\n    # \uacb0\uacfc\ub97c \ucd9c\ub825\ud569\ub2c8\ub2e4.\n    for (x, y, w, h) in faces:\n        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)\n\n    # \uc6f9\ucea0 \uc2e4\uc2dc\uac04 \ud654\uba74\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n    cv2.imshow('Real-time Face Detection', frame)\n\n    # 'q'\ub97c \ub204\ub974\uba74 \uc885\ub8cc\ud569\ub2c8\ub2e4.\n    if cv2.waitKey(1) &amp; 0xFF == ord('q'):\n        break\n\n# \ub9ac\uc18c\uc2a4\ub97c \ud574\uc81c\ud569\ub2c8\ub2e4.\ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n<h2>3. \uac1d\uccb4 \uac80\ucd9c vs \uc2e4\uc2dc\uac04 \uac80\ucd9c<\/h2>\n<p>\uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc740 \ub458 \ub2e4 \uc911\uc694\ud55c \uae30\uc220\uc774\uc9c0\ub9cc \ubaa9\uc801\uacfc \uad6c\ud604 \ubc29\uc2dd\uc5d0\uc11c \ucc28\uc774\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.1 \uc131\ub2a5<\/h3>\n<p>\uac1d\uccb4 \uac80\ucd9c\uc740 \ub300\ubd80\ubd84 \ubbf8\ub9ac \uc800\uc7a5\ub41c \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc791\uc5c5\ud558\uc5ec \uc815\ubc00\uc131\uc744 \ub192\uc77c \uc218 \uc788\uc73c\uba70, \ucef4\ud4e8\ud130 \ub9ac\uc18c\uc2a4\ub97c \ub354 \ub9ce\uc774 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc18\uba74, \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc740 \ub0ae\uc740 \uc9c0\uc5f0 \uc2dc\uac04\uacfc \ub192\uc740 \ud504\ub808\uc784 \uc18d\ub3c4\ub97c \uc694\uad6c\ud558\uba70, \ub530\ub77c\uc11c \ucd5c\uc801\ud654\uac00 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n<h3>3.2 \uc751\uc6a9 \uc0ac\ub840<\/h3>\n<ul>\n<li><strong>\uac1d\uccb4 \uac80\ucd9c:<\/strong> \uc815\uc9c0 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc5bc\uad74\uc774\ub098 \ubb3c\uccb4\ub97c \ucc3e\uc544\ub0b4\ub294 \uac83. \uc608: \uc790\ub3d9 \uc0ac\uc9c4 \ud0dc\uae45.<\/li>\n<li><strong>\uc2e4\uc2dc\uac04 \uac80\ucd9c:<\/strong> \ube44\ub514\uc624 \uc2a4\ud2b8\ub9bc\uc5d0\uc11c \uac1d\uccb4\ub97c \uc9c0\uc18d\uc801\uc73c\ub85c \ucd94\uc801\ud558\ub294 \uac83. \uc608: \uc790\uc728\uc8fc\ud589 \ucc28\ub7c9\uc758 \uac1d\uccb4 \uc778\uc2dd.<\/li>\n<\/ul>\n<h2>4. \uacb0\ub860<\/h2>\n<p>OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc758 \uae30\ubcf8\uc801\uc778 \uc774\ud574\uc640 \uad6c\ud604\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc758 \uac1c\ub150\uc744 \uae4a\uc774 \uc774\ud574\ud560 \uc218 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c \ubc30\uc6b4 \ub0b4\uc6a9\uc740 \ubcf4\uc548 \uc2dc\uc2a4\ud15c, \uc790\uc728\uc8fc\ud589\ucc28 \ubc0f \ub2e4\uc591\ud55c \uba40\ud2f0\ubbf8\ub514\uc5b4 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \uc751\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.1 \ub2e4\uc74c \ub2e8\uacc4<\/h3>\n<p>\ub354 \uae4a\uc740 \ud559\uc2b5\uc744 \uc6d0\ud55c\ub2e4\uba74 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\ub294 YOLO\ub098 SSD(Single Shot Detector)\uc640 \uac19\uc740 \ucd5c\uc2e0 \uae30\uc220\uc744 \ud0d0\uc0c9\ud574 \ubcf4\uc138\uc694. \uc774\ub4e4\uc740 \ubcf4\ub2e4 \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc744 \uc218\ud589\ud560 \uc218 \uc788\ub294 \uac15\ub825\ud55c \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4.<\/p>\n<div class=\"note\">\n<strong>\ucc38\uace0:<\/strong> OpenCV\uc640 \ub525\ub7ec\ub2dd\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud558\uba74, \ub2e4\uc591\ud55c \uac1d\uccb4 \uc778\uc2dd \ubc0f \ubd84\ub958 \uc791\uc5c5\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 TensorFlow \ub610\ub294 PyTorch\uc640 \uacb0\ud569\ud558\uc5ec \ub354\uc6b1 \uc815\uad50\ud55c \ubaa8\ub378\uc744 \uad6c\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/div>\n<p>\uc774\uc0c1\uc73c\ub85c, OpenCV\ub97c \ud65c\uc6a9\ud55c \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc758 \ucc28\uc774\uc5d0 \ub300\ud55c \uac15\uc758\ub97c \ub9c8\uce69\ub2c8\ub2e4. \uc774 \uac15\uc88c\uac00 \uc5ec\ub7ec\ubd84\uc758 OpenCV \ud559\uc2b5\uc5d0 \ub3c4\uc6c0\uc774 \ub418\uae38 \ubc14\ub78d\ub2c8\ub2e4!<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpenCV\ub294 \uc774\ubbf8\uc9c0 \ubc0f \ube44\ub514\uc624 \ucc98\ub9ac\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc758 \uac1c\ub150\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\uac8c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud30c\uc774\uc36c\uc744 \uc0ac\uc6a9\ud558\uc5ec OpenCV \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc774\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 1. \uac1d\uccb4 \uac80\ucd9c\uc758 \uae30\ucd08 \uac1d\uccb4 \uac80\ucd9c(Object Detection)\uc740 \uc774\ubbf8\uc9c0\ub098 \uc601\uc0c1\uc5d0\uc11c \ud2b9\uc815 \uac1d\uccb4\ub97c \ucc3e\uace0 \uc774\ub97c \ud45c\uc2dc\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uac80\ucd9c \uacfc\uc815\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e4\uc74c \ub450 \uac00\uc9c0 \ub2e8\uacc4\ub85c \ub098\ub204\uc5b4\uc9d1\ub2c8\ub2e4: \ud2b9\uc9d5 \ucd94\ucd9c(Feature Extraction): &hellip; <a href=\"https:\/\/atmokpo.com\/w\/38832\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;OpenCV \uac15\uc88c, \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c \ucc28\uc774 \uc774\ud574&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[187],"tags":[],"class_list":["post-38832","post","type-post","status-publish","format-standard","hentry","category-opencv"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>OpenCV \uac15\uc88c, \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c \ucc28\uc774 \uc774\ud574 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/38832\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c \ucc28\uc774 \uc774\ud574 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"OpenCV\ub294 \uc774\ubbf8\uc9c0 \ubc0f \ube44\ub514\uc624 \ucc98\ub9ac\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c\uc758 \uac1c\ub150\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\uac8c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ud30c\uc774\uc36c\uc744 \uc0ac\uc6a9\ud558\uc5ec OpenCV \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc774\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 1. \uac1d\uccb4 \uac80\ucd9c\uc758 \uae30\ucd08 \uac1d\uccb4 \uac80\ucd9c(Object Detection)\uc740 \uc774\ubbf8\uc9c0\ub098 \uc601\uc0c1\uc5d0\uc11c \ud2b9\uc815 \uac1d\uccb4\ub97c \ucc3e\uace0 \uc774\ub97c \ud45c\uc2dc\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uac80\ucd9c \uacfc\uc815\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e4\uc74c \ub450 \uac00\uc9c0 \ub2e8\uacc4\ub85c \ub098\ub204\uc5b4\uc9d1\ub2c8\ub2e4: \ud2b9\uc9d5 \ucd94\ucd9c(Feature Extraction): &hellip; \ub354 \ubcf4\uae30 &quot;OpenCV \uac15\uc88c, \uac1d\uccb4 \uac80\ucd9c\uacfc \uc2e4\uc2dc\uac04 \uac80\ucd9c \ucc28\uc774 \uc774\ud574&quot;\" \/>\n<meta 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Canny Edge Detection\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uacbd\uacc4\ub97c \uac80\ucd9c\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. \uc774 \uc54c\uace0\ub9ac\uc998\uc740 \uc874 \ub9e5\uce90\ubc14\ub2c8\uac00 \uac1c\ubc1c\ud558\uc600\uc73c\uba70, \ub6f0\uc5b4\ub09c \uc131\ub2a5\uacfc \uc800\ud56d\uc131\uc744 \uac00\uc9c0\uace0 \uc788\uc5b4 \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4. Canny Edge Detection\uc740 \uc774\ub7ec\ud55c \uacfc\uc815\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0 \ubd84\uc11d \ubc0f \uac1d\uccb4 \uac10\uc9c0\uc5d0 \ud544\uc218\uc801\uc778 \uacbd\uacc4\ub97c \uc815\ud655\ud558\uac8c \ud0d0\uc9c0\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744\u2026","rel":"","context":"&quot;OpenCV&quot;\uc5d0\uc11c","block_context":{"text":"OpenCV","link":"https:\/\/atmokpo.com\/w\/category\/opencv\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38756,"url":"https:\/\/atmokpo.com\/w\/38756\/","url_meta":{"origin":38832,"position":3},"title":"OpenCV \uac15\uc88c, QR \ucf54\ub4dc\uc640 AR \ud0dc\uadf8\ub97c \ud1b5\ud55c \uc704\uce58 \uc9c0\uc815","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c \ubaa9\ucc28 1. \uc11c\ub860 2. QR \ucf54\ub4dc\ub780? 3. AR \ud0dc\uadf8\ub780? 4. OpenCV \uc124\uce58 \ubc0f \uc124\uc815 5. QR \ucf54\ub4dc \uc778\uc2dd \uad6c\ud604 6. AR \ud0dc\uadf8 \uc778\uc2dd \uad6c\ud604 7. \uacb0\ub860 1. \uc11c\ub860 \ud604\ub300\uc758 \ub9ce\uc740 \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc5d0\uc11c QR \ucf54\ub4dc\uc640 AR \ud0dc\uadf8\ub294 \uc815\ubcf4\ub97c \uc800\uc7a5\ud558\uace0 \uc804\ub2ec\ud558\ub294\ub370 \ud544\uc218\uc801\uc778 \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\u2026","rel":"","context":"&quot;OpenCV&quot;\uc5d0\uc11c","block_context":{"text":"OpenCV","link":"https:\/\/atmokpo.com\/w\/category\/opencv\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38822,"url":"https:\/\/atmokpo.com\/w\/38822\/","url_meta":{"origin":38832,"position":4},"title":"OpenCV \uac15\uc88c, \ub2e4\uc591\ud55c \uc0ac\uc804 \ud559\uc2b5 \ubaa8\ub378 \ube44\uad50 \ubc0f \ud29c\ub2dd","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: [\ub0a0\uc9dc] 1. OpenCV \uc18c\uac1c OpenCV(Open Source Computer Vision Library)\ub294 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\ub97c \uc704\ud55c \uc624\ud508 \uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \uc2e4\uc2dc\uac04 \ucef4\ud4e8\ud130 \ube44\uc804 \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc758 \uac1c\ubc1c\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4. C++, Python, Java \ub4f1 \ub2e4\uc591\ud55c \uc5b8\uc5b4\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc73c\uba70, \uc774 \uae00\uc5d0\uc11c\ub294 \uc8fc\ub85c Python\uacfc \ud568\uaed8 OpenCV\ub97c \ud65c\uc6a9\ud55c \ub2e4\uc591\ud55c \uc0ac\uc804 \ud559\uc2b5 \ubaa8\ub378\uc744 \ube44\uad50\ud558\uace0 \ud29c\ub2dd\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 2.\u2026","rel":"","context":"&quot;OpenCV&quot;\uc5d0\uc11c","block_context":{"text":"OpenCV","link":"https:\/\/atmokpo.com\/w\/category\/opencv\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38798,"url":"https:\/\/atmokpo.com\/w\/38798\/","url_meta":{"origin":38832,"position":5},"title":"OpenCV \uac15\uc88c, PyTorch \ubaa8\ub378\uc744 OpenCV\ub85c \ub85c\ub4dc\ud558\uc5ec \uc2e4\ud589\ud558\uae30","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"\uc800\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uba38\uc2e0\ub7ec\ub2dd\uc744 \uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ubc0f \ube44\ub514\uc624 \ucc98\ub9ac \uae30\uc220\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. 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