{"id":38808,"date":"2024-11-02T00:57:14","date_gmt":"2024-11-02T00:57:14","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38808"},"modified":"2024-11-26T06:43:17","modified_gmt":"2024-11-26T06:43:17","slug":"opencv-%ea%b0%95%ec%a2%8c-%ea%b2%bd%ea%b3%84-%ea%b2%80%ec%b6%9c-%ed%9b%84-%ec%9d%b4%eb%af%b8%ec%a7%80-%ed%9b%84%ec%b2%98%eb%a6%ac","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38808\/","title":{"rendered":"OpenCV \uac15\uc88c, \uacbd\uacc4 \uac80\ucd9c \ud6c4 \uc774\ubbf8\uc9c0 \ud6c4\ucc98\ub9ac"},"content":{"rendered":"<p><body><\/p>\n<p>OpenCV\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774\ubbf8\uc9c0 \uc778\uc2dd, \ube44\ub514\uc624 \ubd84\uc11d, \uac1d\uccb4 \ucd94\uc801 \ub4f1 \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud558\uba70, \uc774\ub97c \ud1b5\ud574 \uac15\ub825\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\uc5d0\uc11c \uacbd\uacc4\ub97c \uac80\ucd9c\ud55c \ud6c4, \uadf8 \uacb0\uacfc\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ud6c4\ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uacbd\uacc4 \uac80\ucd9c\uc774\ub780?<\/h2>\n<p>\uacbd\uacc4 \uac80\ucd9c\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\uc758 \uacbd\uacc4\ub97c \ucc3e\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774\ub294 \uac1d\uccb4 \uc778\uc2dd \ubc0f \ubd84\ud560 \uc791\uc5c5\uc758 \ud575\uc2ec\uc73c\ub85c, \uc774\ubbf8\uc9c0\uc758 \ud2b9\uc9d5\uc744 \ud3ec\ucc29\ud558\uc5ec \uace0\uc720\ud55c \uac1d\uccb4\ub97c \uad6c\ubd84\ud560 \uc218 \uc788\uac8c \ud574\uc90d\ub2c8\ub2e4. \ub300\ud45c\uc801\uc778 \uacbd\uacc4 \uac80\ucd9c \uc54c\uace0\ub9ac\uc998\uc73c\ub85c\ub294 Canny, Sobel, Laplacian \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>2. OpenCV \uc124\uce58\ud558\uae30<\/h2>\n<p>\uba3c\uc800, OpenCV\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. Python \ud658\uacbd\uc5d0\uc11c OpenCV\ub97c \uc124\uce58\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 pip\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \ub2e4\uc74c \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec OpenCV\ub97c \uc124\uce58\ud558\uc2ed\uc2dc\uc624:<\/p>\n<pre><code>pip install opencv-python<\/code><\/pre>\n<h2>3. Canny \uacbd\uacc4 \uac80\ucd9c \uc54c\uace0\ub9ac\uc998<\/h2>\n<p>Canny \uacbd\uacc4 \uac80\ucd9c\uc740 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc778 \uacbd\uacc4 \uac80\ucd9c \uae30\ubc95\uc785\ub2c8\ub2e4. \uc774 \uc54c\uace0\ub9ac\uc998\uc740 \ub2e4\uc74c\uc758 \uc8fc\uc694 \ub2e8\uacc4\ub97c \ub530\ub985\ub2c8\ub2e4:<\/p>\n<ol>\n<li>\uccab \ubc88\uc9f8 \ub2e8\uacc4: Gaussian Blur\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub178\uc774\uc988 \uc81c\uac70<\/li>\n<li>\ub450 \ubc88\uc9f8 \ub2e8\uacc4: \uc774\ubbf8\uc9c0\uc758 \uac15\ub3c4\ub97c \uacc4\uc0b0\ud558\uc5ec \uadf8\ub77c\ub514\uc5b8\ud2b8Magnitude\uc640 \ubc29\ud5a5\uc744 \uc5bb\uc74c<\/li>\n<li>\uc138 \ubc88\uc9f8 \ub2e8\uacc4: \ube44\ucd5c\ub300 \uc5b5\uc81c (Non-maximum Suppression)<\/li>\n<li>\ub124 \ubc88\uc9f8 \ub2e8\uacc4: \uc774\uc911 thresholds\ub97c \uc0ac\uc6a9\ud558\uc5ec \uacbd\uacc4\uc120 \uacb0\uc815<\/li>\n<\/ol>\n<h2>4. Canny \uacbd\uacc4 \uac80\ucd9c \uc608\uc81c<\/h2>\n<p>\ub2e4\uc74c\uc740 Canny \uacbd\uacc4 \uac80\ucd9c\uc744 \uad6c\ud604\ud55c \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4:<\/p>\n<pre class=\"example\"><code>import cv2\nimport numpy as np\n\n# \uc774\ubbf8\uc9c0 \ub85c\ub4dc\nimage = cv2.imread('image.png')\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n# Canny \uacbd\uacc4 \uac80\ucd9c\nedges = cv2.Canny(gray, 100, 200)\n\n# \uacb0\uacfc \ud45c\uc2dc\ncv2.imshow('Original Image', image)\ncv2.imshow('Canny Edges', edges)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n<h2>5. \uacbd\uacc4 \ud6c4\ucc98\ub9ac<\/h2>\n<p>\uacbd\uacc4 \uac80\ucd9c\uc744 \ud55c \ud6c4, \uc5ec\ub7ec \uac00\uc9c0 \ud6c4\ucc98\ub9ac \uc791\uc5c5\uc744 \uac70\uccd0 \uacb0\uacfc\ub97c \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uacbd\uacc4\uc758 \ub450\uaed8\ub97c \uc870\uc815\ud558\uac70\ub098 \ubd88\ud544\uc694\ud55c \ub178\uc774\uc988\ub97c \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \ud6c4\ucc98\ub9ac \uae30\ubc95\uc73c\ub85c\ub294 \ubaa8\ud3f4\ub85c\uc9c0 \ubcc0\ud658, \ube14\ub7ec\ub9c1, \uc724\uacfd\uc120 \ucd94\ucd9c \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>6. \ubaa8\ud3f4\ub85c\uc9c0 \ubcc0\ud658 (Morphological Transformations)<\/h2>\n<p>\ubaa8\ud3f4\ub85c\uc9c0 \ubcc0\ud658\uc740 \uc774\ubbf8\uc9c0\uc758 \ud615\ud0dc\uc5d0 \ub300\ud55c \ucc98\ub9ac\ub97c \uc218\ud589\ud569\ub2c8\ub2e4. \uc774 \uae30\ubc95\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uc774\uc9c4 \uc774\ubbf8\uc9c0\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ub450 \uac00\uc9c0 \uc8fc\uc694 \ud615\ud0dc\uc758 \uc5f0\uc0b0\uc740 \uce68\uc2dd(Erosion)\uacfc \ud33d\ucc3d(Dilation)\uc785\ub2c8\ub2e4.<\/p>\n<h3>6.1 \uce68\uc2dd(Erosion)<\/h3>\n<p>\uce68\uc2dd\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc791\uc740 \uac1d\uccb4\ub97c \uc81c\uac70\ud558\uace0 \uacbd\uacc4\ub97c \ucd95\uc18c\ud558\ub294 \ud6a8\uacfc\ub97c \uc90d\ub2c8\ub2e4.<\/p>\n<pre class=\"example\"><code># \uce68\uc2dd\nkernel = np.ones((5,5), np.uint8)\neroded = cv2.erode(edges, kernel, iterations = 1)\n\ncv2.imshow('Eroded Image', eroded)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n<h3>6.2 \ud33d\ucc3d(Dilation)<\/h3>\n<p>\ud33d\ucc3d\uc740 \ubc18\ub300\ub85c \uacbd\uacc4\ub97c \ud655\uc7a5\ud558\uace0 \uc791\uc740 \uad6c\uba4d\uc744 \uba54\uc6b0\ub294 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.<\/p>\n<pre class=\"example\"><code># \ud33d\ucc3d\ndilated = cv2.dilate(edges, kernel, iterations = 1)\n\ncv2.imshow('Dilated Image', dilated)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n<h2>7. \ube14\ub7ec\ub9c1 (Blurring)<\/h2>\n<p>\ube14\ub7ec\ub9c1\uc740 \uc774\ubbf8\uc9c0\uc758 \uc138\ubd80 \uc815\ubcf4\ub97c \ubd80\ub4dc\ub7fd\uac8c \ud558\uace0 \ub178\uc774\uc988\ub97c \uc904\uc774\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. Gaussian Blur\ub294 \uac00\uc7a5 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ube14\ub7ec\ub9c1 \uae30\ubc95\uc785\ub2c8\ub2e4.<\/p>\n<pre class=\"example\"><code># Gaussian \ube14\ub7ec\nblurred = cv2.GaussianBlur(edges, (5, 5), 0)\n\ncv2.imshow('Blurred Image', blurred)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n<h2>8. \uc724\uacfd\uc120 \ucd94\ucd9c (Contour Detection)<\/h2>\n<p>\uc724\uacfd\uc120\uc744 \uc0ac\uc6a9\ud558\uba74 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\uc758 \uacbd\uacc4\ub97c \ucd94\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. cv2.findContours() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc724\uacfd\uc120\uc744 \ucc3e\uace0, cv2.drawContours()\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc724\uacfd\uc120\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"example\"><code># \uc724\uacfd\uc120 \ucd94\ucd9c\ncontours, _ = cv2.findContours(edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\ncontour_image = np.zeros_like(image)\n\ncv2.drawContours(contour_image, contours, -1, (0, 255, 0), 2)\n\ncv2.imshow('Contours', contour_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n<h2>9. \ucd5c\uc885 \uacb0\uacfc<\/h2>\n<p>\uc704\uc758 \ubaa8\ub4e0 \uae30\ubc95\ub4e4\uc744 \uc870\ud569\ud558\uc5ec, \uacbd\uacc4 \uac80\ucd9c \ud6c4\uc758 \ucd5c\uc885 \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, Canny\ub85c \uacbd\uacc4\ub97c \uac80\ucd9c\ud55c \ud6c4, \ubaa8\ud3f4\ub85c\uc9c0 \ubcc0\ud658\uc744 \uc801\uc6a9\ud558\uc5ec \ub178\uc774\uc988\ub97c \uc81c\uac70\ud558\uace0 \uc724\uacfd\uc120\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"example\"><code># \uacbd\uacc4 \uac80\ucd9c + \ubaa8\ud3f4\ub85c\uc9c0 \ud6c4\ucc98\ub9ac + \uc724\uacfd\uc120 \uadf8\ub9ac\uae30\nedges = cv2.Canny(gray, 100, 200)\ndilated = cv2.dilate(edges, kernel, iterations=1)\ncontours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\n\nfinal_image = np.zeros_like(image)\ncv2.drawContours(final_image, contours, -1, (0, 255, 0), 2)\n\ncv2.imshow('Final Result', final_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n<h2>10. \uacb0\ub860<\/h2>\n<p>OpenCV\ub97c \uc0ac\uc6a9\ud55c \uacbd\uacc4 \uac80\ucd9c\uacfc \ud6c4\ucc98\ub9ac\ub294 \ucef4\ud4e8\ud130 \ube44\uc804\uc758 \ud575\uc2ec \uacfc\uc815\uc785\ub2c8\ub2e4. Canny \uc54c\uace0\ub9ac\uc998\uc744 \ud1b5\ud574 \uacbd\uacc4\ub97c \uac80\ucd9c\ud55c \ud6c4, \ub2e4\uc591\ud55c \ud6c4\ucc98\ub9ac \uae30\ubc95\uc744 \uc801\uc6a9\ud558\uc5ec \uacb0\uacfc\ub97c \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\ub97c \ud1b5\ud574 OpenCV\uc758 \uae30\ubcf8\uc801\uc778 \uacbd\uacc4 \uac80\ucd9c \uae30\ubc95\uacfc \ud6c4\ucc98\ub9ac \ubc29\ubc95\uc5d0 \ub300\ud574 \uc775\ud614\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<p>\uc55e\uc73c\ub85c \ub354 \ub9ce\uc740 OpenCV\uc758 \uae30\ub2a5\uc744 \ud0d0\uad6c\ud558\uc2dc\uace0, \uc2e4\uc804 \ud504\ub85c\uc81d\ud2b8\uc5d0 \ud65c\uc6a9\ud574 \ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4. Happy Coding!<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpenCV\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774\ubbf8\uc9c0 \uc778\uc2dd, \ube44\ub514\uc624 \ubd84\uc11d, \uac1d\uccb4 \ucd94\uc801 \ub4f1 \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud558\uba70, \uc774\ub97c \ud1b5\ud574 \uac15\ub825\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\uc5d0\uc11c \uacbd\uacc4\ub97c \uac80\ucd9c\ud55c \ud6c4, \uadf8 \uacb0\uacfc\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ud6c4\ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uacbd\uacc4 \uac80\ucd9c\uc774\ub780? \uacbd\uacc4 \uac80\ucd9c\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\uc758 \uacbd\uacc4\ub97c \ucc3e\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774\ub294 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/38808\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;OpenCV \uac15\uc88c, \uacbd\uacc4 \uac80\ucd9c \ud6c4 \uc774\ubbf8\uc9c0 \ud6c4\ucc98\ub9ac&#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-38808","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, \uacbd\uacc4 \uac80\ucd9c \ud6c4 \uc774\ubbf8\uc9c0 \ud6c4\ucc98\ub9ac - \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\/38808\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, \uacbd\uacc4 \uac80\ucd9c \ud6c4 \uc774\ubbf8\uc9c0 \ud6c4\ucc98\ub9ac - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"OpenCV\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774\ubbf8\uc9c0 \uc778\uc2dd, \ube44\ub514\uc624 \ubd84\uc11d, \uac1d\uccb4 \ucd94\uc801 \ub4f1 \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud558\uba70, \uc774\ub97c \ud1b5\ud574 \uac15\ub825\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\uc5d0\uc11c \uacbd\uacc4\ub97c \uac80\ucd9c\ud55c \ud6c4, \uadf8 \uacb0\uacfc\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ud6c4\ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uacbd\uacc4 \uac80\ucd9c\uc774\ub780? \uacbd\uacc4 \uac80\ucd9c\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\uc758 \uacbd\uacc4\ub97c \ucc3e\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774\ub294 &hellip; \ub354 \ubcf4\uae30 &quot;OpenCV \uac15\uc88c, \uacbd\uacc4 \uac80\ucd9c \ud6c4 \uc774\ubbf8\uc9c0 \ud6c4\ucc98\ub9ac&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/38808\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-02T00:57:14+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:43:17+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 name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/38808\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38808\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"OpenCV \uac15\uc88c, \uacbd\uacc4 \uac80\ucd9c \ud6c4 \uc774\ubbf8\uc9c0 \ud6c4\ucc98\ub9ac\",\"datePublished\":\"2024-11-02T00:57:14+00:00\",\"dateModified\":\"2024-11-26T06:43:17+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38808\/\"},\"wordCount\":44,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"OpenCV\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/38808\/\",\"url\":\"https:\/\/atmokpo.com\/w\/38808\/\",\"name\":\"OpenCV \uac15\uc88c, \uacbd\uacc4 \uac80\ucd9c \ud6c4 \uc774\ubbf8\uc9c0 \ud6c4\ucc98\ub9ac - 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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":"&quot;YOLO&quot;\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":38808,"position":2},"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":"&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":38808,"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":38732,"url":"https:\/\/atmokpo.com\/w\/38732\/","url_meta":{"origin":38808,"position":4},"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":"&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":38808,"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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