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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":""OpenCV"\uc5d0\uc11c","block_context":{"text":"OpenCV","link":"https:\/\/atmokpo.com\/w\/category\/opencv\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38732,"url":"https:\/\/atmokpo.com\/w\/38732\/","url_meta":{"origin":38730,"position":3},"title":"OpenCV \uac15\uc88c, \ubaa8\uc591\uc758 \uba74\uc801, \ub458\ub808 \uae38\uc774 \ub4f1 \uae30\ubcf8 \ubd84\uc11d","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"OpenCV(\uc624\ud508\uc18c\uc2a4 \ucef4\ud4e8\ud130 \ube44\uc804 \ub77c\uc774\ube0c\ub7ec\ub9ac)\ub294 \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc720\uc6a9\ud55c \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ubaa8\uc591\uc758 \uba74\uc801\uacfc \ub458\ub808 \uae38\uc774\ub97c \uce21\uc815\ud558\ub294 \uae30\ubcf8\uc801\uc778 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub294 Python\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uba70, \ub2e4\uc591\ud55c \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\uc5d0\uc11c\uc758 \uc801\uc6a9 \uac00\ub2a5\uc131\uc744 \uace0\ub824\ud558\uc600\uc2b5\ub2c8\ub2e4. 1. OpenCV \uc18c\uac1c OpenCV\ub294 2000\ub144\ub300 \ucd08\ubc18\uc5d0 \uac1c\ubc1c\ub41c \uc624\ud508\uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc5d0 \ud544\uc694\ud55c\u2026","rel":"","context":""OpenCV"\uc5d0\uc11c","block_context":{"text":"OpenCV","link":"https:\/\/atmokpo.com\/w\/category\/opencv\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38915,"url":"https:\/\/atmokpo.com\/w\/38915\/","url_meta":{"origin":38730,"position":4},"title":"YOLO\ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uad6c\ucd95, YOLO\ub97c OpenCV\uc640 \uc5f0\ub3d9\ud558\uc5ec \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc2dc\uc2a4\ud15c \ub9cc\ub4e4\uae30","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"\ubcf8 \uae00\uc5d0\uc11c\ub294 YOLO(You Only Look Once) \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. YOLO\ub294 \uace0\uc18d\uc73c\ub85c \uac1d\uccb4\ub97c \ud0d0\uc9c0\ud560 \uc218 \uc788\ub294 \uc54c\uace0\ub9ac\uc998\uc73c\ub85c, \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. OpenCV\uc640 \ud568\uaed8 YOLO\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc6f9\ucea0\uc5d0\uc11c \uc2e4\uc2dc\uac04\uc73c\ub85c \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \uc2dc\uc2a4\ud15c\uc744 \ub9cc\ub4dc\ub294 \uacfc\uc815\uc744 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. YOLO\ub780? YOLO\ub294 \uac1d\uccb4 \uac80\ucd9c\uc744 \uc704\ud574 \uc124\uacc4\ub41c \uc2e0\uacbd\ub9dd \uae30\ubc18\uc758 \uc54c\uace0\ub9ac\uc998\uc73c\ub85c, \uac1d\uccb4\ub97c\u2026","rel":"","context":""YOLO"\uc5d0\uc11c","block_context":{"text":"YOLO","link":"https:\/\/atmokpo.com\/w\/category\/yolo\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38784,"url":"https:\/\/atmokpo.com\/w\/38784\/","url_meta":{"origin":38730,"position":5},"title":"OpenCV \uac15\uc88c, KLT Tracker\ub85c \uac1d\uccb4 \ucd94\uc801\ud558\uae30","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \ub0a0\uc9dc: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 \ucef4\ud4e8\ud130 \ube44\uc804\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \uac1d\uccb4 \ucd94\uc801\uc740 \ub9ce\uc740 \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc774\uc6a9\ud558\uc5ec KLT(Kanade-Lucas-Tomasi) Tracker\ub85c \uac1d\uccb4\ub97c \ucd94\uc801\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud558\uc5ec \ub2e4\ub8f0 \uac83\uc785\ub2c8\ub2e4. KLT \ud2b8\ub798\ucee4\ub294 \ud2b9\uc9d5 \uc810 \ud328\ud134\uc744 \uae30\ubc18\uc73c\ub85c\ud558\uc5ec, \uc601\uc0c1\uc5d0\uc11c \uc6c0\uc9c1\uc774\ub294 \uac1d\uccb4\ub97c \ucd94\uc801\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4. 2. KLT Tracker \uae30\ubcf8\u2026","rel":"","context":""OpenCV"\uc5d0\uc11c","block_context":{"text":"OpenCV","link":"https:\/\/atmokpo.com\/w\/category\/opencv\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38730","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=38730"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38730\/revisions"}],"predecessor-version":[{"id":38731,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38730\/revisions\/38731"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=38730"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=38730"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=38730"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":38730,"date":"2024-11-02T00:56:39","date_gmt":"2024-11-02T00:56:39","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38730"},"modified":"2024-11-26T06:43:30","modified_gmt":"2024-11-26T06:43:30","slug":"opencv-%ea%b0%95%ec%a2%8c-%ec%96%bc%ea%b5%b4-%eb%88%88-%eb%af%b8%ec%86%8c-%eb%93%b1%ec%9d%98-%eb%b6%84%eb%a5%98%ea%b8%b0-%ed%95%99%ec%8a%b5","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38730\/","title":{"rendered":"OpenCV \uac15\uc88c, \uc5bc\uad74, \ub208, \ubbf8\uc18c \ub4f1\uc758 \ubd84\ub958\uae30 \ud559\uc2b5"},"content":{"rendered":"

<\/p>\n

OpenCV\ub294 \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804(Computer Vision) \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uc624\ud508 \uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc5bc\uad74, \ub208, \ubbf8\uc18c \uac10\uc9c0\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \ubd84\ub958\uae30\ub97c \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \ud30c\uc774\uc36c\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uc5ec \uc9c4\ud589\ud558\uba70, \uac01 \ub2e8\uacc4\uc5d0\uc11c \ud544\uc694\ud55c \uc608\uc81c \ucf54\ub4dc\ub3c4 \ud568\uaed8 \uc81c\uacf5\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. OpenCV \uc124\uce58\ud558\uae30<\/h2>\n

\uba3c\uc800, OpenCV \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc758 \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec OpenCV\ub97c \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n

pip install opencv-python<\/code><\/pre>\n\ucd94\uac00\uc801\uc73c\ub85c, \uc5bc\uad74 \uc778\uc2dd\uc5d0 \ud544\uc694\ud55c Haar Cascade \ubd84\ub958\uae30\ub97c \uc0ac\uc6a9\ud560 \uac83\uc774\ubbc0\ub85c, \ub2e4\uc74c\uc758 \uba85\ub839\uc5b4\ub85c OpenCV-contrib-python\ub3c4 \uc124\uce58\ud569\ub2c8\ub2e4:<\/p>\n
pip install opencv-python-headless<\/code><\/pre>\n2. Haar Cascade \ubd84\ub958\uae30 \uc774\ud574\ud558\uae30<\/h2>\nHaar Cascade\ub294 OpenCV\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 \uc0ac\uc804 \ud559\uc2b5\ub41c \ubd84\ub958\uae30\uc785\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\uc5d0\uc11c \ud2b9\uc815 \uac1d\uccb4(\uc608: \uc5bc\uad74, \ub208 \ub4f1)\ub97c \uac10\uc9c0\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubd84\ub958\uae30\ub294 \ub2e4\uc591\ud55c \ub2e8\uacc4\uc758 \ud2b9\uc9d5(feature)\uc744 \uae30\ubc18\uc73c\ub85c \uc791\ub3d9\ud558\uba70, \uae0d\uc815\uc801 \uc0d8\ud50c\uacfc \ubd80\uc815\uc801 \uc0d8\ud50c\uc744 \ud1b5\ud574 \ud559\uc2b5\ub429\ub2c8\ub2e4.<\/p>\n
3. \uc5bc\uad74 \uac10\uc9c0 \uc608\uc81c<\/h2>\n\uc5bc\uad74 \uac10\uc9c0\ub97c \uc2dc\uc791\ud558\uae30 \uc804\uc5d0 Haar Cascade XML \ud30c\uc77c\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc5ec\uc57c \ud569\ub2c8\ub2e4. OpenCV\ub294 \uae30\ubcf8\uc801\uc73c\ub85c haarcascade_frontalface_default.xml<\/code>\ub77c\ub294 \ud30c\uc77c\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608\uc81c \ucf54\ub4dc\ub294 \uc544\ub798\uc640 \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
import cv2\n\n# Haar Cascade \ubd84\ub958\uae30 \ub85c\ub4dc\nface_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')\n\n# \uc774\ubbf8\uc9c0 \uc77d\uae30\nimage = cv2.imread('image.jpg')\n\n# \uadf8\ub808\uc774\uc2a4\ucf00\uc77c \ubcc0\ud658\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n# \uc5bc\uad74 \uac10\uc9c0\nfaces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)\n\n# \uacb0\uacfc \ucd9c\ub825\nfor (x, y, w, h) in faces:\n    cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 0), 2)\n\ncv2.imshow('Face Detection', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n\uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c \uc5bc\uad74 \uac10\uc9c0 \uacfc\uc815\uc744 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4:<\/p>\n
\nHaar Cascade \ub85c\ub4dc:<\/strong> cv2.CascadeClassifier<\/code>\ub97c \uc0ac\uc6a9\ud558\uc5ec Haar Cascade \ubaa8\ub378\uc744 \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/li>\n
\uc774\ubbf8\uc9c0 \uc77d\uae30:<\/strong> cv2.imread<\/code>\ub85c \uc774\ubbf8\uc9c0\ub97c \uc77d\uc5b4\uc635\ub2c8\ub2e4.<\/li>\n
\uadf8\ub808\uc774\uc2a4\ucf00\uc77c \ubcc0\ud658:<\/strong> \uac10\uc9c0 \uc131\ub2a5\uc744 \ub192\uc774\uae30 \uc704\ud574 \uc774\ubbf8\uc9c0\ub97c \uadf8\ub808\uc774\uc2a4\ucf00\uc77c\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/li>\n
\uc5bc\uad74 \uac10\uc9c0:<\/strong> detectMultiScale<\/code> \uba54\uc11c\ub4dc\ub97c \ud1b5\ud574 \uc5bc\uad74\uc744 \uac10\uc9c0\ud569\ub2c8\ub2e4.<\/li>\n
\uacb0\uacfc \ucd9c\ub825:<\/strong> \uac10\uc9c0\ub41c \uc5bc\uad74\uc744 \uc9c1\uc0ac\uac01\ud615\uc73c\ub85c \ud45c\uc2dc\ud558\uc5ec \uacb0\uacfc\ub97c \ucd9c\ub825\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n4. \ub208 \uac10\uc9c0 \uc608\uc81c<\/h2>\n\ub208 \uac10\uc9c0\ub97c \uc704\ud574 haarcascade_eye.xml<\/code> \ud30c\uc77c\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub97c \ucc38\uc870\ud558\uc138\uc694:<\/p>\n
# \ub208 \uac10\uc9c0 \ucf54\ub4dc\neye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')\n\n# \uc5bc\uad74 \uac10\uc9c0 \ud6c4 \ub208 \uac10\uc9c0\nfor (x, y, w, h) in faces:\n    roi_gray = gray[y:y + h, x:x + w]\n    roi_color = image[y:y + h, x:x + w]\n    eyes = eye_cascade.detectMultiScale(roi_gray)\n    for (ex, ey, ew, eh) in eyes:\n        cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)\ncv2.imshow('Eye Detection', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n\ub208 \uac10\uc9c0 \ucf54\ub4dc\uc758 \uc124\uba85:<\/p>\n
\n\uc5bc\uad74\uc774 \uac10\uc9c0\ub41c \ud6c4, \ud574\ub2f9 \uc601\uc5ed(ROI)\uc5d0\uc11c \ub208\uc744 \uac10\uc9c0\ud569\ub2c8\ub2e4.<\/li>\n
\ub208\uc744 \uac10\uc9c0\ub41c \uc601\uc5ed\uc5d0 \uc0ac\uac01\ud615\uc73c\ub85c \uadf8\ub824 \uacb0\uacfc\ub97c \ucd9c\ub825\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n5. \ubbf8\uc18c \uac10\uc9c0 \uc608\uc81c<\/h2>\n\ubbf8\uc18c \uac10\uc9c0\ub294 \uc880 \ub354 \ubcf5\uc7a1\ud55c \uacfc\uc815\uc785\ub2c8\ub2e4. \ubbf8\uc18c\ub97c \uac10\uc9c0\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc5bc\uad74\uc758 \ud558\ub2e8 \uc601\uc5ed\uc5d0\uc11c \ud2b9\uc815 \ud2b9\uc9d5\uc744 \ud559\uc2b5\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574\uc11c\ub294 OpenCV\uc640 \ud568\uaed8 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\uc544\ub798\ub294 \ubbf8\uc18c\ub97c \uac10\uc9c0\ud558\uae30 \uc704\ud55c \uac04\ub2e8\ud55c \uc54c\uace0\ub9ac\uc998\uc744 \uc124\uba85\ud569\ub2c8\ub2e4:<\/p>\n
def smile_detection(image):\n    smile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')\n    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)\n    for (x, y, w, h) in faces:\n        roi_gray = gray[y + h \/\/ 2:y + h, x:x + w]\n        roi_color = image[y + h \/\/ 2:y + h, x:x + w]\n        smiles = smile_cascade.detectMultiScale(roi_gray, scaleFactor=1.8, minNeighbors=20)\n        for (sx, sy, sw, sh) in smiles:\n            cv2.rectangle(roi_color, (sx, sy + h \/\/ 2), (sx + sw, sy + h \/\/ 2 + sh), (255, 0, 255), 2)\n    return image\n\nimage = cv2.imread('image.jpg')\nresult_image = smile_detection(image)\ncv2.imshow('Smile Detection', result_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n\ubbf8\uc18c \uac10\uc9c0 \ucf54\ub4dc\uc758 \uc124\uba85:<\/p>\n
\n\ubbf8\uc18c\ub97c \uac10\uc9c0\ud558\uae30 \uc704\ud574 \uc5bc\uad74 \uac10\uc9c0\uc640 \uc720\uc0ac\ud55c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc9c0\ub9cc, \uc5bc\uad74 \ud558\ub2e8 \ubd80\ubd84\uc5d0\uc11c\ub9cc \uac10\uc9c0\ud569\ub2c8\ub2e4.<\/li>\n
scaleFactor<\/code>\uc640 minNeighbors<\/code> \uac12\uc744 \uc870\uc815\ud558\uc5ec \uac10\uc9c0 \uc131\ub2a5\uc744 \uac1c\uc120\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n6. \ud559\uc2b5 \ub370\uc774\ud130 \uc0dd\uc131<\/h2>\n\uc790\uc2e0\ub9cc\uc758 \ubd84\ub958\uae30\ub97c \ub9cc\ub4e4\uace0\uc790 \ud560 \uacbd\uc6b0, \uae0d\uc815\uc801 \uc0d8\ud50c\uacfc \ubd80\uc815\uc801 \uc0d8\ud50c\uc744 \uc218\uc9d1\ud558\uc5ec \ud559\uc2b5 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud574\uc57c \ud569\ub2c8\ub2e4. \uae0d\uc815\uc801 \uc0d8\ud50c\uc740 \uac10\uc9c0\ud558\uace0\uc790 \ud558\ub294 \uac1d\uccb4\uc758 \uc774\ubbf8\uc9c0\uc774\uba70, \ubd80\uc815\uc801 \uc0d8\ud50c\uc740 \ud574\ub2f9 \uac1d\uccb4\uac00 \ud3ec\ud568\ub418\uc9c0 \uc54a\uc740 \uc774\ubbf8\uc9c0\uc785\ub2c8\ub2e4.<\/p>\n
\uc774\ub7ec\ud55c \uc0d8\ud50c\uc744 \uc218\uc9d1\ud55c \ud6c4, OpenCV\uc758 opencv_createsamples<\/code>\uc640 opencv_traincascade<\/code> \ub3c4\uad6c\ub97c \ud65c\uc6a9\ud558\uc5ec \ubd84\ub958\uae30\ub97c \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
6.1 \uae0d\uc815\uc801 \uc0d8\ud50c \ub9cc\ub4e4\uae30<\/h3>\n$ opencv_createsamples -info positives.txt -w 20 -h 20 -num 500 -show<\/code><\/pre>\n6.2 \ubd84\ub958\uae30 \ud559\uc2b5\ud558\uae30<\/h3>\n$ opencv_traincascade -data data -vec positives.vec -bg negatives.txt -numPos 400 -numNeg 1000 -numStages 10 -featureType HAAR -mode ALL<\/code><\/pre>\n7. \uacb0\ub860<\/h2>\nOpenCV\ub97c \ud65c\uc6a9\ud55c \uc5bc\uad74, \ub208, \ubbf8\uc18c \uac10\uc9c0\ub294 \ub2e4\uc591\ud55c \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc5d0 \ud65c\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub97c \ud1b5\ud574 basic\ud55c \uac10\uc9c0 \ubc29\ubc95\uc744 \uc775\ud78c \ud6c4, \ub354 \uace0\uae09 \uae30\uc220\uc744 \uc775\ud788\uace0\uc790 \ud55c\ub2e4\uba74 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ubc29\ubc95\ub3c4 \ud0d0\uad6c\ud574\ubcf4\ub294 \uac83\uc744 \ucd94\ucc9c\ub4dc\ub9bd\ub2c8\ub2e4. \ub610\ud55c, \ub2e4\ub978 \uac1d\uccb4 \uac10\uc9c0 \uae30\ubc95\ub4e4\uacfc\uc758 \ube44\uad50 \ub4f1\uc744 \ud1b5\ud574 \ub354 \ub098\uc740 \uacb0\uacfc\ub97c \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
8. \ucc38\uace0 \ubb38\ud5cc<\/h2>\n\nOpenCV \uacf5\uc2dd \ud648\ud398\uc774\uc9c0<\/a><\/li>\n
OpenCV \uc5bc\uad74 \uac10\uc9c0 \ud29c\ud1a0\ub9ac\uc5bc<\/a><\/li>\n<\/ul>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"OpenCV\ub294 \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804(Computer Vision) \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uc624\ud508 \uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc5bc\uad74, \ub208, \ubbf8\uc18c \uac10\uc9c0\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \ubd84\ub958\uae30\ub97c \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \ud30c\uc774\uc36c\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uc5ec \uc9c4\ud589\ud558\uba70, \uac01 \ub2e8\uacc4\uc5d0\uc11c \ud544\uc694\ud55c \uc608\uc81c \ucf54\ub4dc\ub3c4 \ud568\uaed8 \uc81c\uacf5\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. OpenCV \uc124\uce58\ud558\uae30 \uba3c\uc800, OpenCV \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc758 \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec OpenCV\ub97c \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4: pip … \ub354 \ubcf4\uae30 “OpenCV \uac15\uc88c, \uc5bc\uad74, \ub208, \ubbf8\uc18c \ub4f1\uc758 \ubd84\ub958\uae30 \ud559\uc2b5”<\/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-38730","post","type-post","status-publish","format-standard","hentry","category-opencv"],"yoast_head":"\nOpenCV \uac15\uc88c, \uc5bc\uad74, \ub208, \ubbf8\uc18c \ub4f1\uc758 \ubd84\ub958\uae30 \ud559\uc2b5 - \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\/38730\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, \uc5bc\uad74, \ub208, \ubbf8\uc18c \ub4f1\uc758 \ubd84\ub958\uae30 \ud559\uc2b5 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"OpenCV\ub294 \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804(Computer Vision) \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uc624\ud508 \uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc5bc\uad74, \ub208, \ubbf8\uc18c \uac10\uc9c0\uc640 \uac19\uc740 \ub2e4\uc591\ud55c \ubd84\ub958\uae30\ub97c \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \ud30c\uc774\uc36c\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uc5ec \uc9c4\ud589\ud558\uba70, \uac01 \ub2e8\uacc4\uc5d0\uc11c \ud544\uc694\ud55c \uc608\uc81c \ucf54\ub4dc\ub3c4 \ud568\uaed8 \uc81c\uacf5\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. 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