{"id":38830,"date":"2024-11-02T00:57:25","date_gmt":"2024-11-02T00:57:25","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38830"},"modified":"2024-11-26T06:43:14","modified_gmt":"2024-11-26T06:43:14","slug":"opencv-%ea%b0%95%ec%a2%8c-perspective-%eb%b3%80%ed%99%98%ea%b3%bc-%eb%ac%b8%ec%84%9c-%ec%8a%a4%ec%ba%90%eb%84%88-%eb%a7%8c%eb%93%a4%ea%b8%b0","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38830\/","title":{"rendered":"OpenCV \uac15\uc88c, Perspective \ubcc0\ud658\uacfc \ubb38\uc11c \uc2a4\uce90\ub108 \ub9cc\ub4e4\uae30"},"content":{"rendered":"

<\/p>\n

\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \ud65c\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\uc758 Perspective(\uc6d0\uadfc) \ubcc0\ud658\uc744 \uc774\ud574\ud558\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ubb38\uc11c \uc2a4\uce90\ub108\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ubb38\uc11c \uc2a4\uce90\ub108\ub294 \ucd2c\uc601\ub41c \ubb38\uc11c \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc65c\uace1\ub41c \ubd80\ubd84\uc744 \uc218\uc815\ud558\uace0 \uc2e4\uc81c \ubb38\uc11c\uc640 \uac19\uc740 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\uc5ec \ud3b8\ub9ac\ud558\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc8fc\ub294 \uae30\ub2a5\uc785\ub2c8\ub2e4.<\/p>\n

OpenCV\ub780?<\/h2>\n

OpenCV(Open Source Computer Vision Library)\ub294 \uc2e4\uc2dc\uac04 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc640 \ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc744 \uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804 \uc54c\uace0\ub9ac\uc998\uc744 \uc81c\uacf5\ud558\uba70, Python, C++, Java \ub4f1 \uc5ec\ub7ec \uc5b8\uc5b4\uc5d0\uc11c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. OpenCV\ub294 \uc774\ubbf8\uc9c0 \ud544\ud130\ub9c1, \uac1d\uccb4 \uc778\uc2dd, \uc774\ubbf8\uc9c0 \ubcc0\ud615, \ubaa8\uc158 \ubd84\uc11d \ub4f1 \uc5ec\ub7ec \uae30\ub2a5\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4.<\/p>\n

Perspective \ubcc0\ud658\uc774\ub780?<\/h2>\n

Perspective \ubcc0\ud658\uc740 2\ucc28\uc6d0 \uc774\ubbf8\uc9c0\ub97c 3\ucc28\uc6d0 \uacf5\uac04\uc5d0\uc11c\uc758 \uad00\uc810\uc5d0 \ub530\ub77c \ubcc0\ud615\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\ub97c \ud55c\ucabd \uba74\uc774 \ub354 \ub113\uac8c \ubcf4\uc774\uac8c \ud558\uac70\ub098, \ud2b9\uc815 \uac01\ub3c4\uc5d0\uc11c \ubc14\ub77c\ubcf8 \ub4ef\ud55c \uc65c\uace1 \ud6a8\uacfc\ub97c \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc8fc\ub85c \ucd2c\uc601\ub41c \uc774\ubbf8\uc9c0\ub97c \uc65c\uace1 \uc5c6\uc774 \uad50\uc815\ud560 \ub54c \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n

Perspective \ubcc0\ud658\uc758 \uc815\uc758<\/h3>\n

\uc6d0\uadfc \ubcc0\ud658\uc740 4\uac1c\uc758 \uc810\uc744 \ud1b5\ud574 \uc815\uc758\ub429\ub2c8\ub2e4. \uc774 4\uac1c\uc758 \uc810\uc740 \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ubcc0\ud658\ud560 \uc0ac\uac01\ud615\uc758 \ucf54\ub108\ub97c \uad6c\uc131\ud558\uba70, \uc774\ub97c \ubaa9\ud45c \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc77c\uce58\ud558\ub294 4\uac1c\uc758 \uc810\uacfc \uc5f0\uacb0\ud558\uc5ec \ubcc0\ud658\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/p>\n

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

\uc2dc\uc791\ud558\uae30\uc5d0 \uc55e\uc11c OpenCV\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. Python \ud658\uacbd\uc5d0\uc11c OpenCV\ub97c \uc124\uce58\ud558\ub824\uba74 \ub2e4\uc74c \uba85\ub839\uc5b4\ub97c \uc2e4\ud589\ud558\uc2ed\uc2dc\uc624:<\/p>\n

pip install opencv-python opencv-python-headless numpy<\/code><\/pre>\n
Perspective \ubcc0\ud658\uc744 \uc704\ud55c \uae30\ucd08 \uc608\uc81c<\/h2>\n
\uba3c\uc800 \uac04\ub2e8\ud55c \uc774\ubbf8\uc9c0\ub97c \ubd88\ub7ec\uc628 \ud6c4, Perspective \ubcc0\ud658\uc744 \uc801\uc6a9\ud558\ub294 \uae30\ubcf8\uc801\uc778 \uc608\uc81c\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
\uc608\uc81c \ucf54\ub4dc: \uae30\ubcf8 Perspective \ubcc0\ud658<\/h3>\n
import cv2\nimport numpy as np\n\n# \uc774\ubbf8\uc9c0 \ub85c\ub4dc\nimage = cv2.imread('document.jpg')\n\n# \ubcc0\ud658\ud560 \uc810\ub4e4 (\uc6d0\ubcf8)\npoints_src = np.float32([[100, 100], [400, 100], [100, 400], [400, 400]])\n\n# \ubcc0\ud658\ud560 \uc810\ub4e4 (\ubaa9\ud45c)\npoints_dst = np.float32([[0, 0], [300, 0], [0, 300], [300, 300]])\n\n# \ubcc0\ud658 \ud589\ub82c \uacc4\uc0b0\nmatrix = cv2.getPerspectiveTransform(points_src, points_dst)\n\n# Perspective \ubcc0\ud658 \uc801\uc6a9\nwarped_image = cv2.warpPerspective(image, matrix, (300, 300))\n\n# \uacb0\uacfc \uc774\ubbf8\uc9c0 \ubcf4\uae30\ncv2.imshow('Warped Image', warped_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
\uc704\uc758 \ucf54\ub4dc\ub97c \ud1b5\ud574 \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\ub97c \ubd88\ub7ec\uc624\uace0, \ubcc0\ud658\ud560 \uc0ac\uac01\ud615\uc758 \ub124 \uc810\uc744 \uc9c0\uc815\ud558\uc5ec \uc6d0\uadfc \ubcc0\ud658\uc744 \uc801\uc6a9\ud558\uc600\uc2b5\ub2c8\ub2e4. ‘document.jpg’\ub294 \uc5ec\ub7ec\ubd84\uc774 \ubcc0\ud658\ud558\uace0\uc790 \ud558\ub294 \uc774\ubbf8\uc9c0 \ud30c\uc77c\uc758 \uacbd\ub85c\ub85c \ubcc0\uacbd\ud574\uc8fc\uc5b4\uc57c \ud569\ub2c8\ub2e4.<\/p>\n
\ubb38\uc11c \uc2a4\uce90\ub108 \uad6c\ud604<\/h2>\n
\ubb38\uc11c \uc2a4\uce90\ub108\ub97c \ub9cc\ub4e4\uae30 \uc704\ud574\uc11c\ub294 \ucd2c\uc601\ub41c \ubb38\uc11c \uc774\ubbf8\uc9c0\ub85c\ubd80\ud130 \uc0ac\uac01\ud615 \ud615\ud0dc\uc758 \uc601\uc5ed\uc744 \ucc3e\uc544\ub0b4\uace0, \uc774\ub97c Perspective \ubcc0\ud658\uc744 \ud1b5\ud574 \uc815\uc0ac\uac01\ud615\uc73c\ub85c \ubcc0\ud658\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\ub85c \uc9c4\ud589\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
1\ub2e8\uacc4: \uc774\ubbf8\uc9c0 \uc804\ucc98\ub9ac<\/h3>\n
\uba3c\uc800, \uc785\ub825 \uc774\ubbf8\uc9c0\ub97c \uadf8\ub808\uc774\uc2a4\ucf00\uc77c\ub85c \ubcc0\ud658\ud558\uace0, \ube14\ub7ec\ub9c1 \ubc0f \uc5d0\uc9c0 \uac80\ucd9c\uc744 \uc218\ud589\ud558\uc5ec \ubb38\uc11c\uc758 \uacbd\uacc4\ub97c \uac15\uc870\ud569\ub2c8\ub2e4.<\/p>\n
# \uc774\ubbf8\uc9c0 \ub85c\ub4dc\nimage = cv2.imread('scanned_document.jpg')\n\n# \uadf8\ub808\uc774\uc2a4\ucf00\uc77c \ubcc0\ud658\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n# \uc774\ubbf8\uc9c0 \ube14\ub7ec\ub9c1\nblurred = cv2.GaussianBlur(gray, (5, 5), 0)\n\n# \uc5e3\uc9c0 \uac80\ucd9c\nedged = cv2.Canny(blurred, 75, 200)\n\n# \ud655\uc778\uc744 \uc704\ud574 \uc5e3\uc9c0 \uc774\ubbf8\uc9c0 \ud45c\uc2dc\ncv2.imshow('Edged Image', edged)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
2\ub2e8\uacc4: \uc724\uacfd\uc120 \ucc3e\uae30<\/h3>\n
\ubb38\uc11c\uc758 \uc724\uacfd\uc120\uc744 \ucc3e\uae30 \uc704\ud574\uc11c OpenCV\uc758 findContours \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ucc3e\uc740 \uc724\uacfd\uc120 \uc911\uc5d0\uc11c \uc0ac\uac01\ud615 \ud615\ud0dc\uc758 \uc724\uacfd\uc120\uc744 \uc120\ubcc4\ud558\uc5ec\uc57c \ud569\ub2c8\ub2e4.<\/p>\n
# \uc724\uacfd\uc120 \ucc3e\uae30\ncontours, _ = cv2.findContours(edged, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n\n# \uac00\uc7a5 \ud070 \uc724\uacfd\uc120 \uc120\ud0dd\ncontour = max(contours, key=cv2.contourArea)\n\n# \uadf8\ub824\uc9c4 \uc724\uacfd\uc120 \uc2dc\uac01\ud654\nimage_contours = image.copy()\ncv2.drawContours(image_contours, [contour], -1, (0, 255, 0), 2)\n\ncv2.imshow('Contours', image_contours)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n
3\ub2e8\uacc4: \uc0ac\uac01\ud615 \ubcc0\ud658 \ud3ec\uc778\ud2b8 \uacb0\uc815<\/h3>\n
\uc120\ud0dd\ud55c \uc724\uacfd\uc120\uc5d0\uc11c \uc0ac\uac01\ud615\uc758 \ub124 \uc810\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4. \uc774 \uc810\ub4e4\uc740 Perspective \ubcc0\ud658\uc744 \uc704\ud574 \uc0ac\uc6a9\ub420 \uac83\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc774 \uc810\ub4e4\uc740 \uc2dc\uacc4 \ubc29\ud5a5\uc73c\ub85c \uc815\ub82c\ub418\uc5b4\uc57c \ud569\ub2c8\ub2e4.<\/p>\n
# \uc0ac\uac01\ud615 \ubcc0\ud658 \ud3ec\uc778\ud2b8 \uc815\ub9ac\nepsilon = 0.02 * cv2.arcLength(contour, True)\napprox = cv2.approxPolyDP(contour, epsilon, True)\n\nif len(approx) == 4:\n    points = approx.reshape(4, 2)\nelse:\n    print(\"\uc0ac\uac01\ud615\uc744 \ucc3e\uc744 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.\")\n    points = None<\/code><\/pre>\n
4\ub2e8\uacc4: Perspective \ubcc0\ud658 \uc801\uc6a9<\/h3>\n
\ub9c8\uc9c0\ub9c9\uc73c\ub85c, \uc120\ud0dd\ub41c \uc0ac\uac01\ud615 \ubcc0\ud658 \ud3ec\uc778\ud2b8\ub97c \uae30\uc900\uc73c\ub85c Perspective \ubcc0\ud658\uc744 \uc801\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n
if points is not None:\n    # \ubaa9\ud45c \uc810 \uc0dd\uc131 (\uc815\uc0ac\uac01\ud615 \ud615\ud0dc)\n    width = max(np.linalg.norm(points[0]-points[1]), np.linalg.norm(points[2]-points[3]))\n    height = max(np.linalg.norm(points[0]-points[3]), np.linalg.norm(points[1]-points[2]))\n    \n    destination_points = np.float32([[0, 0], [width, 0], [0, height], [width, height]])\n    \n    # \ubcc0\ud658 \ud589\ub82c \uacc4\uc0b0\n    matrix = cv2.getPerspectiveTransform(points, destination_points)\n    \n    # Perspective \ubcc0\ud658 \uc801\uc6a9\n    warped = cv2.warpPerspective(image, matrix, (int(width), int(height)))\n    \n    # \uacb0\uacfc \uc774\ubbf8\uc9c0 \ubcf4\uae30\n    cv2.imshow('Scanned Document', warped)\n    cv2.waitKey(0)\n    cv2.destroyAllWindows()<\/code><\/pre>\n
\ub9c8\ubb34\ub9ac<\/h2>\n
\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc774\uc6a9\ud55c \uc6d0\uadfc \ubcc0\ud658 \uae30\ubc95\uacfc \ubb38\uc11c \uc2a4\uce90\ub108\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774\ubbf8\uc9c0 \ub0b4 \uc0ac\uac01\ud615 \uc601\uc5ed\uc744 \ucc3e\uc544\ub0b4\uace0, \uc774 \uc601\uc5ed\uc744 \uc815\uc0ac\uac01\ud615\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc740 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc758 \uae30\ucd08\ub97c \ub2e4\uc9c0\ub294\ub370 \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \uc774 \uae30\uc220\uc744 \uae30\ubc18\uc73c\ub85c \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ud504\ub85c\uc81d\ud2b8\ub85c \ud655\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\ud3b8\ub9ac\ud55c \ubb38\uc11c \uc2a4\uce90\ub108\ub97c \ub9cc\ub4dc\ub294 \uac83 \uc678\uc5d0\ub3c4, \ub2e4\ub978 \ud615\ud0dc\uc758 \uc774\ubbf8\uc9c0 \ubcc0\ud658\uc774\ub098 \ucc98\ub9ac\uc5d0 \uc751\uc6a9\ud560 \uc218 \uc788\uc73c\ub2c8, \uc2e4\uc2b5\uc744 \ud1b5\ud574 \ub2e4\uc591\ud55c \uc2dc\ub3c4\ub97c \ud574\ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4. \ub2e4\uc74c \uac15\uc88c\uc5d0\uc11c\ub294 \ub354 \uc2ec\ud654\ub41c OpenCV \uae30\ub2a5\uc5d0 \ub300\ud574 \ub2e4\ub904\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uac10\uc0ac\ud569\ub2c8\ub2e4!<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \ud65c\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\uc758 Perspective(\uc6d0\uadfc) \ubcc0\ud658\uc744 \uc774\ud574\ud558\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ubb38\uc11c \uc2a4\uce90\ub108\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ubb38\uc11c \uc2a4\uce90\ub108\ub294 \ucd2c\uc601\ub41c \ubb38\uc11c \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc65c\uace1\ub41c \ubd80\ubd84\uc744 \uc218\uc815\ud558\uace0 \uc2e4\uc81c \ubb38\uc11c\uc640 \uac19\uc740 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\uc5ec \ud3b8\ub9ac\ud558\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc8fc\ub294 \uae30\ub2a5\uc785\ub2c8\ub2e4. OpenCV\ub780? OpenCV(Open Source Computer Vision Library)\ub294 \uc2e4\uc2dc\uac04 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc640 \ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc744 \uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804 … \ub354 \ubcf4\uae30 “OpenCV \uac15\uc88c, Perspective \ubcc0\ud658\uacfc \ubb38\uc11c \uc2a4\uce90\ub108 \ub9cc\ub4e4\uae30”<\/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-38830","post","type-post","status-publish","format-standard","hentry","category-opencv"],"yoast_head":"\nOpenCV \uac15\uc88c, Perspective \ubcc0\ud658\uacfc \ubb38\uc11c \uc2a4\uce90\ub108 \ub9cc\ub4e4\uae30 - \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\/38830\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, Perspective \ubcc0\ud658\uacfc \ubb38\uc11c \uc2a4\uce90\ub108 \ub9cc\ub4e4\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \ud65c\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\uc758 Perspective(\uc6d0\uadfc) \ubcc0\ud658\uc744 \uc774\ud574\ud558\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ubb38\uc11c \uc2a4\uce90\ub108\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ubb38\uc11c \uc2a4\uce90\ub108\ub294 \ucd2c\uc601\ub41c \ubb38\uc11c \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc65c\uace1\ub41c \ubd80\ubd84\uc744 \uc218\uc815\ud558\uace0 \uc2e4\uc81c \ubb38\uc11c\uc640 \uac19\uc740 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\uc5ec \ud3b8\ub9ac\ud558\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc8fc\ub294 \uae30\ub2a5\uc785\ub2c8\ub2e4. OpenCV\ub780? 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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":38756,"url":"https:\/\/atmokpo.com\/w\/38756\/","url_meta":{"origin":38830,"position":2},"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":""OpenCV"\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":38830,"position":3},"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":""OpenCV"\uc5d0\uc11c","block_context":{"text":"OpenCV","link":"https:\/\/atmokpo.com\/w\/category\/opencv\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38784,"url":"https:\/\/atmokpo.com\/w\/38784\/","url_meta":{"origin":38830,"position":4},"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":[]},{"id":38915,"url":"https:\/\/atmokpo.com\/w\/38915\/","url_meta":{"origin":38830,"position":5},"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":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38830","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=38830"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38830\/revisions"}],"predecessor-version":[{"id":38831,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38830\/revisions\/38831"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=38830"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=38830"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=38830"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}