{"id":38722,"date":"2024-11-02T00:56:33","date_gmt":"2024-11-02T00:56:33","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38722"},"modified":"2024-11-26T06:43:31","modified_gmt":"2024-11-26T06:43:31","slug":"opencv-%ea%b0%95%ec%a2%8c-%eb%8c%80%ea%b7%9c%eb%aa%a8-%ec%96%bc%ea%b5%b4-%eb%8d%b0%ec%9d%b4%ed%84%b0%ec%85%8b%ec%97%90%ec%84%9c-%ec%8b%a4%ec%8b%9c%ea%b0%84-%ea%b2%80%ec%83%89","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38722\/","title":{"rendered":"OpenCV \uac15\uc88c, \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9"},"content":{"rendered":"<p><body><\/p>\n<p>\n        OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uba38\uc2e0 \ub7ec\ub2dd\uc744 \uc704\ud55c \uc624\ud508 \uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624 \ucc98\ub9ac\ub97c \uc704\ud55c \uc218\ub9ce\uc740 \ud568\uc218\uc640 \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc5bc\uad74 \uc778\uc2dd \uae30\uc220\uc758 \uae30\ucd08\ubd80\ud130 \ub370\uc774\ud130\uc14b \uad6c\ucd95, \uc2e4\uc2dc\uac04 \uac80\uc0c9 \uc2dc\uc2a4\ud15c \uad6c\ud604\uc5d0 \uc774\ub974\uae30\uae4c\uc9c0 \ub2e4\uc591\ud55c \ub0b4\uc6a9\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4.\n    <\/p>\n<h2>1. \uc5bc\uad74 \uc778\uc2dd \uae30\uc220 \uc774\ud574\ud558\uae30<\/h2>\n<p>\n        \uc5bc\uad74 \uc778\uc2dd \uae30\uc220\uc740 \ud2b9\uc815 \uc778\ubb3c\uc758 \uc5bc\uad74\uc744 \ub2e4\ub978 \uc778\ubb3c\uc758 \uc5bc\uad74\uacfc \uad6c\ubcc4\ud558\ub294 \uae30\uc220\ub85c, \uc774\ub97c \ud1b5\ud574 \uc0ac\ub78c\uc744 \uc778\uc99d\ud558\uac70\ub098 \uc5bc\uad74\uc744 \uae30\ubc18\uc73c\ub85c \ud558\ub294 \ub2e4\uc591\ud55c \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc744 \uac1c\ubc1c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5bc\uad74 \uc778\uc2dd\uc758 \uae30\ubcf8 \uad6c\uc131 \uc694\uc18c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:\n    <\/p>\n<ul>\n<li><strong>\uc5bc\uad74 \uac10\uc9c0:<\/strong> \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc5bc\uad74\uc744 \ucc3e\ub294 \uacfc\uc815.<\/li>\n<li><strong>\ud2b9\uc9d5 \ucd94\ucd9c:<\/strong> \uc5bc\uad74\uc5d0\uc11c \uc911\uc694\ud55c \ud2b9\uc9d5\uc744 \ucd94\ucd9c.<\/li>\n<li><strong>\uc778\uc2dd:<\/strong> \ucd94\ucd9c\ub41c \ud2b9\uc9d5\uc744 \uae30\ubc18\uc73c\ub85c \uc778\ubb3c\uc744 \uc778\uc2dd.<\/li>\n<\/ul>\n<h2>2. OpenCV \uc124\uce58\ud558\uae30<\/h2>\n<p>\n        OpenCV\ub97c \uc124\uce58\ud558\uae30 \uc704\ud574 Python\uc758 \ud328\ud0a4\uc9c0 \uad00\ub9ac\uc790\uc778 pip\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798 \uba85\ub839\uc5b4\ub85c OpenCV\ub97c \uc124\uce58\ud569\ub2c8\ub2e4:\n    <\/p>\n<pre>\n        <code>\n        pip install opencv-python\n        <\/code>\n    <\/pre>\n<h2>3. \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b \uad6c\ucd95\ud558\uae30<\/h2>\n<p>\n        \uc5bc\uad74 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0 \uc804\ucc98\ub9ac\ud558\uc5ec \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b\uc744 \uad6c\ucd95\ud558\ub294 \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:\n    <\/p>\n<h3>3.1 \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n<p>\n        \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud55c \uc774\ubbf8\uc9c0 \uc218\uc9d1\uc740 \ub2e4\uc591\ud55c \uc18c\uc2a4\uc5d0\uc11c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc6f9\uc5d0\uc11c \uc774\ubbf8\uc9c0\ub97c \uc2a4\ud06c\ub7a9\ud558\uac70\ub098, \uacf5\uac1c\ub41c \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<br \/>\n        \uc608\ub97c \ub4e4\uc5b4, <a href=\"https:\/\/www.kaggle.com\/datasets\/ashishpatel26\/face-detection-dataset\" target=\"_blank\" rel=\"noopener\">Kaggle<\/a>\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 \uacf5\uac1c\ub41c \uc5bc\uad74 \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc14b\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n    <\/p>\n<h3>3.2 \uc774\ubbf8\uc9c0 \uc804\ucc98\ub9ac<\/h3>\n<p>\n        \uc5bc\uad74\u30a4\u30f3\uc2dd \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ub192\uc774\uae30 \uc704\ud574\uc11c\ub294 \uc774\ubbf8\uc9c0 \uc804\ucc98\ub9ac\uac00 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \uc804\ucc98\ub9ac \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:\n    <\/p>\n<ul>\n<li>\uc774\ubbf8\uc9c0 \ud06c\uae30 \uc870\uc815<\/li>\n<li>\uaf2d \ud544\uc694\ud55c \uacbd\uc6b0 \ub178\uc774\uc988 \uc81c\uac70<\/li>\n<li>\uc815\uaddc\ud654 \ub2e8\uacc4\ub97c \ud1b5\ud55c \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc758 \uc77c\uad00\uc131 \uc720\uc9c0<\/li>\n<\/ul>\n<h3>3.3 \uc608\uc81c \ucf54\ub4dc: \uc774\ubbf8\uc9c0 \uc804\ucc98\ub9ac<\/h3>\n<pre>\n        <code>\n        import cv2\n        import os\n\n        def preprocess_images(input_folder, output_folder):\n            if not os.path.exists(output_folder):\n                os.makedirs(output_folder)\n\n            for filename in os.listdir(input_folder):\n                img_path = os.path.join(input_folder, filename)\n                image = cv2.imread(img_path)\n\n                # \uc774\ubbf8\uc9c0 \ud06c\uae30 \uc870\uc815\n                image = cv2.resize(image, (224, 224))\n\n                # \uc774\ubbf8\uc9c0 \uc815\uaddc\ud654\n                image = image \/ 255.0\n\n                output_path = os.path.join(output_folder, filename)\n                cv2.imwrite(output_path, (image * 255).astype('uint8'))\n\n        preprocess_images('input_folder', 'output_folder')\n        <\/code>\n    <\/pre>\n<h2>4. \uc5bc\uad74 \uc778\uc2dd \ubc0f \uac80\uc0c9 \uc54c\uace0\ub9ac\uc998<\/h2>\n<p>\n        \uc5bc\uad74 \uc778\uc2dd\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uac00\uc9c0 \uc54c\uace0\ub9ac\uc998\uc774 \uc0ac\uc6a9\ub418\uc9c0\ub9cc, \uc5ec\uae30\uc5d0\uc11c\ub294 <strong>Haar Cascade Classifier<\/strong> \ubc0f <strong>LBPH (Local Binary Patterns Histogram)<\/strong>\ub97c \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4.\n    <\/p>\n<h3>4.1 Haar Cascade Classifier<\/h3>\n<p>\n        Haar Cascade\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc5bc\uad74\uc744 \uac10\uc9c0\ud558\ub294 \ub370 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uac10\uc9c0\ud560 \uac1d\uccb4\uc758 \uc804\ud615\uc801\uc778 \ud615\ud0dc\ub97c \ube14\ub799\uc564\ud654\uc774\ud2b8 \ud328\ud134\uc73c\ub85c \ud45c\ud604\ud55c \uac83\uc785\ub2c8\ub2e4.\n    <\/p>\n<h3>4.2 LBPH \uae30\ubc18 \uc5bc\uad74 \uc778\uc2dd<\/h3>\n<p>\n        LBPH\ub294 \uc5bc\uad74 \uc778\uc2dd\uc5d0 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc778 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc740 \uc5bc\uad74 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc9c0\uc5ed\uc801\uc778 \ud328\ud134\uc744 \ubd84\uc11d\ud558\uc5ec \uc778\uc2dd\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \ub610\ud55c, LBPH\ub294 \ub2e4\uc591\ud55c \uc870\uba85 \uc870\uac74\uc5d0\uc11c\ub3c4 \uc798 \uc791\ub3d9\ud569\ub2c8\ub2e4.\n    <\/p>\n<h3>4.3 \uc608\uc81c \ucf54\ub4dc: \uc5bc\uad74 \uc778\uc2dd<\/h3>\n<pre>\n        <code>\n        import cv2\n\n        # \uc5bc\uad74 \uac10\uc9c0\uae30 \ub85c\ub4dc\n        face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')\n\n        # LBPH \uc5bc\uad74 \uc778\uc2dd \ubaa8\ub378 \uc0dd\uc131\n        recognizer = cv2.face.LBPHFaceRecognizer_create()\n\n        # \ud6c8\ub828 \ub370\uc774\ud130 \ub85c\ub4dc\n        recognizer.read('trainer.yml')\n\n        def recognize_face(frame):\n            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n            faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)\n\n            for (x, y, w, h) in faces:\n                roi_gray = gray[y:y+h, x:x+w]\n                id_, confidence = recognizer.predict(roi_gray)\n\n                # ID\uc640 \uc2e0\ub8b0\ub3c4 \ud45c\uc2dc\n                cv2.putText(frame, str(id_), (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 0), 2)\n\n            return frame\n        <\/code>\n    <\/pre>\n<h2>5. \uc2e4\uc2dc\uac04 \uc5bc\uad74 \uac80\uc0c9 \uad6c\ud604\ud558\uae30<\/h2>\n<p>\n        \ubaa8\ub4e0 \uc900\ube44\uac00 \ub05d\ub0ac\ub2e4\uba74, \uc774\uc81c \uc2e4\uc2dc\uac04 \uc5bc\uad74 \uac80\uc0c9 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc6f9\ucea0\uc744 \ud1b5\ud574 \uc2e4\uc2dc\uac04\uc73c\ub85c \uc5bc\uad74\uc744 \uac10\uc9c0\ud558\uace0 \uc778\uc2dd\ud558\ub294 \ucf54\ub4dc\ub97c \uc791\uc131\ud569\ub2c8\ub2e4.\n    <\/p>\n<h3>5.1 \uc608\uc81c \ucf54\ub4dc: \uc2e4\uc2dc\uac04 \uc5bc\uad74 \uac80\uc0c9<\/h3>\n<pre>\n        <code>\n        import cv2\n\n        def start_video_recognition():\n            cap = cv2.VideoCapture(0)\n\n            while True:\n                ret, frame = cap.read()\n                if not ret:\n                    break\n\n                frame = recognize_face(frame)\n                cv2.imshow('Face Recognition', frame)\n\n                # 'q' \ud0a4\ub97c \ub20c\ub7ec \uc885\ub8cc\n                if cv2.waitKey(1) &amp; 0xFF == ord('q'):\n                    break\n\n            cap.release()\n            cv2.destroyAllWindows()\n\n        start_video_recognition()\n        <\/code>\n    <\/pre>\n<h2>6. \uc131\ub2a5 \ud3c9\uac00 \ubc0f \uac1c\uc120 \ubc29\uc548<\/h2>\n<p>\n        \uc5bc\uad74 \uc778\uc2dd \uc2dc\uc2a4\ud15c\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uae30\uc900\uc744 \uace0\ub824\ud574\uc57c \ud569\ub2c8\ub2e4:\n    <\/p>\n<ul>\n<li><strong>\uc815\ud655\ub3c4:<\/strong> \uc778\uc2dd\uc758 \uc815\ud655\uc131.<\/li>\n<li><strong>\uc18d\ub3c4:<\/strong> \uc778\uc2dd \uc18d\ub3c4.<\/li>\n<li><strong>\uc2e0\ub8b0\ub3c4:<\/strong> \ub2e4\uc591\ud55c \ud658\uacbd\uc5d0\uc11c\uc758 \uc548\uc815\uc131.<\/li>\n<\/ul>\n<h2>7. \uacb0\ub860<\/h2>\n<p>\n        OpenCV\ub97c \ud65c\uc6a9\ud55c \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9 \uc2dc\uc2a4\ud15c \uad6c\ud604\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ubc29\ubc95\uc73c\ub85c \uc790\ub3d9\ud654\ub41c \uc5bc\uad74 \uc778\uc2dd \uae30\uc220\uc744 \uac1c\ubc1c\ud560 \uc218 \uc788\uc73c\uba70, \uc774\ub97c \ud1b5\ud574 \ub2e4\uc591\ud55c \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc744 \uc27d\uac8c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub354 \ub098\uc544\uac00 \ub2e4\uc591\ud55c \uc54c\uace0\ub9ac\uc998\uacfc \uae30\ubc95\uc744 \uc811\ubaa9\ud558\uc5ec \uc131\ub2a5\uc744 \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n    <\/p>\n<p>\n        \uc774\ubc88 \uac15\uc88c\uac00 \uc5ec\ub7ec\ubd84\uc758 OpenCV\uc640 \uc5bc\uad74 \uc778\uc2dd \uae30\uc220 \uc774\ud574\uc5d0 \ub3c4\uc6c0\uc774 \ub418\uc5c8\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.\n    <\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uba38\uc2e0 \ub7ec\ub2dd\uc744 \uc704\ud55c \uc624\ud508 \uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624 \ucc98\ub9ac\ub97c \uc704\ud55c \uc218\ub9ce\uc740 \ud568\uc218\uc640 \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc5bc\uad74 \uc778\uc2dd \uae30\uc220\uc758 \uae30\ucd08\ubd80\ud130 \ub370\uc774\ud130\uc14b \uad6c\ucd95, \uc2e4\uc2dc\uac04 \uac80\uc0c9 \uc2dc\uc2a4\ud15c \uad6c\ud604\uc5d0 \uc774\ub974\uae30\uae4c\uc9c0 \ub2e4\uc591\ud55c \ub0b4\uc6a9\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4. 1. \uc5bc\uad74 \uc778\uc2dd \uae30\uc220 \uc774\ud574\ud558\uae30 \uc5bc\uad74 \uc778\uc2dd &hellip; <a href=\"https:\/\/atmokpo.com\/w\/38722\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;OpenCV \uac15\uc88c, \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9&#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-38722","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, \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9 - \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\/38722\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uba38\uc2e0 \ub7ec\ub2dd\uc744 \uc704\ud55c \uc624\ud508 \uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624 \ucc98\ub9ac\ub97c \uc704\ud55c \uc218\ub9ce\uc740 \ud568\uc218\uc640 \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc5bc\uad74 \uc778\uc2dd \uae30\uc220\uc758 \uae30\ucd08\ubd80\ud130 \ub370\uc774\ud130\uc14b \uad6c\ucd95, \uc2e4\uc2dc\uac04 \uac80\uc0c9 \uc2dc\uc2a4\ud15c \uad6c\ud604\uc5d0 \uc774\ub974\uae30\uae4c\uc9c0 \ub2e4\uc591\ud55c \ub0b4\uc6a9\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4. 1. \uc5bc\uad74 \uc778\uc2dd \uae30\uc220 \uc774\ud574\ud558\uae30 \uc5bc\uad74 \uc778\uc2dd &hellip; \ub354 \ubcf4\uae30 &quot;OpenCV \uac15\uc88c, \ub300\uaddc\ubaa8 \uc5bc\uad74 \ub370\uc774\ud130\uc14b\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac80\uc0c9&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/38722\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-02T00:56:33+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:43:31+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta 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