{"id":38828,"date":"2024-11-02T00:57:24","date_gmt":"2024-11-02T00:57:24","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38828"},"modified":"2024-11-26T06:43:14","modified_gmt":"2024-11-26T06:43:14","slug":"opencv-%ea%b0%95%ec%a2%8c-affine-%eb%b3%80%ed%99%98-%ec%9d%b4%eb%8f%99-%ed%9a%8c%ec%a0%84-%ec%b6%95%ec%86%8c-%ed%99%95%eb%8c%80","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38828\/","title":{"rendered":"OpenCV \uac15\uc88c, Affine \ubcc0\ud658 (\uc774\ub3d9, \ud68c\uc804, \ucd95\uc18c \ud655\ub300)"},"content":{"rendered":"<p>OpenCV(Open Source Computer Vision Library)\ub294 \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc744 \uc704\ud55c \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec Afine \ubcc0\ud658\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, \uc774\ub3d9, \ud68c\uc804 \ubc0f \ucd95\uc18c\/\ud655\ub300\uc640 \uac19\uc740 \ubcc0\ud658\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8f0 \uac83\uc785\ub2c8\ub2e4. \ubcf8 \ubb38\uc11c\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc744 \uae30\ubcf8 \uc5b8\uc5b4\ub85c \uc0ac\uc6a9\ud558\uc9c0\ub9cc, \ud544\uc694\ud55c \uacbd\uc6b0 \ub2e4\ub978 \uc5b8\uc5b4\uc5d0 \ub300\ud55c \uc694\uc57d\ub3c4 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<h2>Affine \ubcc0\ud658\uc774\ub780?<\/h2>\n<p>Affine \ubcc0\ud658\uc740 \uc774\ubbf8\uc9c0\uc758 \uae30\ud558\ud559\uc801 \uad6c\uc870\ub97c \ubcc0\uacbd\ud558\ub294 \ubcc0\ud658\uc758 \ud558\ub098\ub85c, \uc120\ud615 \ubcc0\ud658\uacfc \ud3c9\ud589 \uc774\ub3d9\uc744 \ud568\uaed8 \uc218\ud589\ud569\ub2c8\ub2e4. \uc774 \ubcc0\ud658\uc740 2D \ud3c9\uba74\uc5d0\uc11c \uc810\uc758 \uc88c\ud45c\ub97c \ubcc0\uacbd\ud558\uba74\uc11c, \uc810 \uac04\uc758 \uc0c1\ub300\uc801\uc778 \uac70\ub9ac\uc640 \uac01\ub3c4\ub97c \uc720\uc9c0\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c Affine \ubcc0\ud658 \ud6c4\uc5d0\ub3c4.parallelism\uc774 \uc720\uc9c0\ub418\uba70, \ubcc0\ud658\ub41c \uc774\ubbf8\uc9c0\uc758 \ud615\ud0dc\ub098 \uad6c\uc870\uac00 \uc65c\uace1\ub418\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>Affine \ubcc0\ud658\uc758 \uc218\ud559\uc801 \ud45c\ud604<\/h3>\n<p>Affine \ubcc0\ud658\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc77c\ubc18\uc801\uc778 \ud615\ud0dc\uc758 \uc218\uc2dd\uc73c\ub85c \ud45c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<pre>\n<p>\uc5ec\uae30\uc11c:<\/p>\n<ul>\n<li>(x', y')\ub294 \ubcc0\ud658 \ud6c4\uc758 \uc88c\ud45c\uc785\ub2c8\ub2e4.<\/li>\n<li>(x, y)\ub294 \ubcc0\ud658 \uc804\uc758 \uc88c\ud45c\uc785\ub2c8\ub2e4.<\/li>\n<li>M\ub294 2x3 \ud06c\uae30\uc758 \ubcc0\ud658 \ud589\ub82c\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n<\/pre>\n<p>Affine \ubcc0\ud658 \ud589\ub82c M = [ [a, b, tx], [c, d, ty] ]\ub85c \uc815\uc758\ub418\uba70, \uc5ec\uae30\uc11c (tx, ty)\ub294 \uac01\uac01 x\ucd95\uacfc y\ucd95 \ubc29\ud5a5\uc758 \uc774\ub3d9\uac12\uc785\ub2c8\ub2e4. a, b, c, d\ub294 \ud68c\uc804 \ubc0f \ucd95\uc18c\/\ud655\ub300 \ubcc0\ud658\uc5d0 \uad00\ub828\ub41c \uac12\uc785\ub2c8\ub2e4.<\/p>\n<h2>OpenCV\uc5d0\uc11c Affine \ubcc0\ud658 \uc218\ud589\ud558\uae30<\/h2>\n<p>OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec Affine \ubcc0\ud658\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc740 \uc5ec\ub7ec \uac00\uc9c0\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc5d0\uc11c OpenCV\ub97c \ud65c\uc6a9\ud55c \uc774\ub3d9, \ud68c\uc804, \ucd95\uc18c\/\ud655\ub300 \ubcc0\ud658\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>1. \uc774\ub3d9 \ubcc0\ud658 (Translation)<\/h3>\n<p>\uc774\ub3d9 \ubcc0\ud658\uc740 \uc774\ubbf8\uc9c0\uc758 \uc704\uce58\ub97c \ubcc0\uacbd\ud558\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \uc774\ub3d9 \ubcc0\ud658\uc744 \uc704\ud574\uc11c\ub294 \ubcc0\ud658 \ud589\ub82c\uc5d0 \uc774\ub3d9 \ubca1\ud130\ub97c \ucd94\uac00\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<pre><code>python\nimport cv2\nimport numpy as np\n\n# \uc774\ubbf8\uc9c0 \ubd88\ub7ec\uc624\uae30\nimage = cv2.imread('example.jpg')\n\n# \uc774\ub3d9 \ubcc0\ud658 \ud589\ub82c \uc0dd\uc131\ntx = 100  # x\ucd95\uc73c\ub85c 100\ud53d\uc140 \uc774\ub3d9\nty = 50   # y\ucd95\uc73c\ub85c 50\ud53d\uc140 \uc774\ub3d9\nM = np.float32([[1, 0, tx], [0, 1, ty]])\n\n# \ubcc0\ud658 \uc801\uc6a9\ntranslated_image = cv2.warpAffine(image, M, (image.shape[1], image.shape[0]))\n\n# \uacb0\uacfc \uc774\ubbf8\uc9c0 \ubcf4\uc5ec\uc8fc\uae30\ncv2.imshow('Translated Image', translated_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<p>\uc704 \ucf54\ub4dc\uc5d0\uc11c \uc0ac\uc6a9\ub41c <code>warpAffine<\/code> \ud568\uc218\ub294 \ubcc0\ud658 \ud589\ub82c M\uacfc \uc774\ubbf8\uc9c0\uc758 \uc0ac\uc774\uc988\ub97c \uc774\uc6a9\ud558\uc5ec \uc774\ub3d9 \ubcc0\ud658\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \ubcc0\ud658\ub41c \uc774\ubbf8\uc9c0\ub294 \uc6d0\ub798 \uc774\ubbf8\uc9c0\ubcf4\ub2e4 \uc624\ub978\ucabd\uc73c\ub85c 100\ud53d\uc140, \uc544\ub798\ub85c 50\ud53d\uc140 \uc774\ub3d9\ud569\ub2c8\ub2e4.<\/p>\n<h3>2. \ud68c\uc804 \ubcc0\ud658 (Rotation)<\/h3>\n<p>\ud68c\uc804 \ubcc0\ud658\uc740 \uc774\ubbf8\uc9c0\ub97c \uc911\uc2ec\uc744 \uae30\uc900\uc73c\ub85c \ud68c\uc804\uc2dc\ud0a4\ub294 \ubcc0\ud658\uc785\ub2c8\ub2e4. \uc6d0\ud558\ub294 \uac01\ub3c4\ub9cc\ud07c \uc774\ubbf8\uc9c0\ub97c \ud68c\uc804\uc2dc\ud0a4\uae30 \uc704\ud574 \ud68c\uc804 \ubcc0\ud658 \ud589\ub82c\uc744 \uc815\uc758\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<pre><code>python\n# \ud68c\uc804 \ubcc0\ud658 \ud589\ub82c \uc0dd\uc131\nangle = 45  # 45\ub3c4 \ud68c\uc804\ncenter = (image.shape[1] \/ 2, image.shape[0] \/ 2)  # \ud68c\uc804 \uc911\uc2ec\nM = cv2.getRotationMatrix2D(center, angle, 1.0)  # \uc2a4\ucf00\uc77c 1.0(\ube44\uc728 \uc720\uc9c0)\n\n# \ubcc0\ud658 \uc801\uc6a9\nrotated_image = cv2.warpAffine(image, M, (image.shape[1], image.shape[0]))\n\n# \uacb0\uacfc \uc774\ubbf8\uc9c0 \ubcf4\uc5ec\uc8fc\uae30\ncv2.imshow('Rotated Image', rotated_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<p>\uc704 \ucf54\ub4dc\uc5d0\uc11c <code>getRotationMatrix2D<\/code> \ud568\uc218\ub294 \ud68c\uc804 \uc911\uc2ec, \uac01\ub3c4, \uc2a4\ucf00\uc77c \uac12\uc744 \uc774\uc6a9\ud558\uc5ec \ud68c\uc804 \ubcc0\ud658 \ud589\ub82c\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. <code>warpAffine<\/code>\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubcc0\ud658\uc744 \uc801\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<h3>3. \ucd95\uc18c\/\ud655\ub300 \ubcc0\ud658 (Scaling)<\/h3>\n<p>\ucd95\uc18c\/\ud655\ub300 \ubcc0\ud658\uc740 \uc774\ubbf8\uc9c0\ub97c \ube44\uc728\uc5d0 \ub530\ub77c \ud06c\uae30\ub97c \uc870\uc808\ud558\ub294 \ubcc0\ud658\uc785\ub2c8\ub2e4. \ucd95\uc18c\/\ud655\ub300\ub97c \uc704\ud574\uc11c\ub294 \ubcc0\ud658 \ud589\ub82c\uc5d0 \uc2a4\ucf00\uc77c \uac12\uc744 \uc801\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>python\n# \ucd95\uc18c\/\ud655\ub300 \ubcc0\ud658 \ud589\ub82c \uc0dd\uc131\nscale_x = 0.5  # x\ucd95 \ubc29\ud5a5\uc73c\ub85c 50% \ucd95\uc18c\nscale_y = 0.5  # y\ucd95 \ubc29\ud5a5\uc73c\ub85c 50% \ucd95\uc18c\nM = np.float32([[scale_x, 0, 0], [0, scale_y, 0]])\n\n# \ubcc0\ud658 \uc801\uc6a9\nscaled_image = cv2.warpAffine(image, M, (int(image.shape[1] * scale_x), int(image.shape[0] * scale_y)))\n\n# \uacb0\uacfc \uc774\ubbf8\uc9c0 \ubcf4\uc5ec\uc8fc\uae30\ncv2.imshow('Scaled Image', scaled_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<p>\uc704 \ucf54\ub4dc\uc5d0\uc11c\ub294 x\ucd95\uacfc y\ucd95 \ubc29\ud5a5\uc73c\ub85c \uac01\uac01 50% \ucd95\uc18c\ud558\ub294 \uc2a4\ucf00\uc77c \ubcc0\ud658 \ud589\ub82c\uc744 \uc0dd\uc131\ud558\uace0, <code>warpAffine<\/code>\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubcc0\ud658\uc744 \uc801\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<h2>Affine \ubcc0\ud658\uc758 \uc2e4\uc6a9 \uc608\uc81c<\/h2>\n<p>\uc2e4\uc81c\ub85c Affine \ubcc0\ud658\uc740 \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uba87 \uac00\uc9c0 \uc2e4\uc6a9\uc801\uc778 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n<h3>1. \uc774\ubbf8\uc9c0 \uc815\ub82c<\/h3>\n<p>\ub2e4\uc591\ud55c \uac01\ub3c4\uc5d0\uc11c \ucd2c\uc601\ub41c \uc774\ubbf8\uc9c0\ub97c \ubcf4\uc815\ud558\uc5ec \uc815\ub82c\ud558\ub294 \uacbd\uc6b0\uc5d0 Affine \ubcc0\ud658\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>2. \uc774\ubbf8\uc9c0 \uc65c\uace1 \ubcf4\uc815<\/h3>\n<p>\uce74\uba54\ub77c \ub80c\uc988\uc5d0 \uc758\ud574 \ubc1c\uc0dd\ud558\ub294 \uc65c\uace1\uc744 \ubcf4\uc815\ud558\uc5ec \uc65c\uace1\ub418\uc9c0 \uc54a\uc740 \uc774\ubbf8\uc9c0\ub97c \ub9cc\ub4e4\uae30 \uc704\ud574 Affine \ubcc0\ud658\uc744 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3. \uc774\ubbf8\uc9c0 \ud569\uc131<\/h3>\n<p>\uc5ec\ub7ec \uc7a5\uc758 \uc774\ubbf8\uc9c0\ub97c \uc870\ud569\ud558\uc5ec \ud558\ub098\uc758 \ubcf5\ud569\uc801\uc778 \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud560 \ub54c Affine \ubcc0\ud658\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0\uc758 \uae30\ud558\ud559\uc801 \uc18d\uc131\uc744 \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>OpenCV Affine \ubcc0\ud658 \uc694\uc57d<\/h2>\n<p>AFFINE \ubcc0\ud658\uc740 \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uac1c\ub150\uc785\ub2c8\ub2e4. \uc774\ub3d9, \ud68c\uc804 \ubc0f \ucd95\uc18c\/\ud655\ub300 \ubcc0\ud658\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0\ub97c \uc870\uc815\ud558\uace0 \ubcc0\ud615\ud560 \uc218 \uc788\uc73c\uba70, OpenCV\ub294 \uc774\ub7ec\ud55c \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ub370 \ud544\uc694\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<p>\uc55e\uc11c \uc5b8\uae09\ud55c \uc608\uc81c \ucf54\ub4dc\ub4e4\uc744 \ud1b5\ud574 OpenCV\uc758 \ub2e4\uc591\ud55c \ubcc0\ud658 \uae30\ub2a5\uc744 \uc2e4\ud5d8\ud574\ubcf4\uba74\uc11c Affine \ubcc0\ud658\uc758 \uc6d0\ub9ac\ub97c \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uacc4\uc18d\ud574\uc11c OpenCV\uc758 \uae30\ubcf8 \uae30\ub2a5\uc744 \uc775\ud788\uace0, \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac \uae30\ubc95\uc744 \ud65c\uc6a9\ud574\ubcf4\uc138\uc694!<\/p>\n<h2>\ucc45\uc784 \ubc0f \ucc38\uace0 \uc790\ub8cc<\/h2>\n<p>\uc774 \uac15\uc88c\uc5d0\uc11c \ub2e4\ub8ec \ub0b4\uc6a9\uc740 OpenCV\uc758 \uacf5\uc2dd \ubb38\uc11c\uc640 \ub2e4\uc591\ud55c \uc628\ub77c\uc778 \uc790\ub8cc\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uc600\uc2b5\ub2c8\ub2e4. \ub354 \ub9ce\uc740 \uc815\ubcf4\ub97c \uc6d0\ud558\uc2e0\ub2e4\uba74 OpenCV \uacf5\uc2dd \ubb38\uc11c \ubc0f \uad00\ub828 \uc11c\uc801\uc744 \ucc38\uace0\ud558\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<p><strong>\ucc38\uace0 \ub9c1\ud06c:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/opencv.org\/\">OpenCV \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8<\/a><\/li>\n<li><a href=\"https:\/\/docs.opencv.org\/master\/\">OpenCV \ubb38\uc11c<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>OpenCV(Open Source Computer Vision Library)\ub294 \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc744 \uc704\ud55c \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec Afine \ubcc0\ud658\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, \uc774\ub3d9, \ud68c\uc804 \ubc0f \ucd95\uc18c\/\ud655\ub300\uc640 \uac19\uc740 \ubcc0\ud658\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8f0 \uac83\uc785\ub2c8\ub2e4. \ubcf8 \ubb38\uc11c\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc744 \uae30\ubcf8 \uc5b8\uc5b4\ub85c \uc0ac\uc6a9\ud558\uc9c0\ub9cc, \ud544\uc694\ud55c \uacbd\uc6b0 \ub2e4\ub978 \uc5b8\uc5b4\uc5d0 \ub300\ud55c \uc694\uc57d\ub3c4 \uc81c\uacf5\ud569\ub2c8\ub2e4. Affine \ubcc0\ud658\uc774\ub780? Affine \ubcc0\ud658\uc740 \uc774\ubbf8\uc9c0\uc758 \uae30\ud558\ud559\uc801 \uad6c\uc870\ub97c \ubcc0\uacbd\ud558\ub294 \ubcc0\ud658\uc758 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/38828\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;OpenCV \uac15\uc88c, Affine \ubcc0\ud658 (\uc774\ub3d9, \ud68c\uc804, \ucd95\uc18c \ud655\ub300)&#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-38828","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, Affine \ubcc0\ud658 (\uc774\ub3d9, \ud68c\uc804, \ucd95\uc18c \ud655\ub300) - \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\/38828\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, Affine \ubcc0\ud658 (\uc774\ub3d9, \ud68c\uc804, \ucd95\uc18c \ud655\ub300) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"OpenCV(Open Source Computer Vision Library)\ub294 \uc774\ubbf8\uc9c0 \ucc98\ub9ac \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc744 \uc704\ud55c \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec Afine \ubcc0\ud658\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, \uc774\ub3d9, \ud68c\uc804 \ubc0f \ucd95\uc18c\/\ud655\ub300\uc640 \uac19\uc740 \ubcc0\ud658\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8f0 \uac83\uc785\ub2c8\ub2e4. \ubcf8 \ubb38\uc11c\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc744 \uae30\ubcf8 \uc5b8\uc5b4\ub85c \uc0ac\uc6a9\ud558\uc9c0\ub9cc, \ud544\uc694\ud55c \uacbd\uc6b0 \ub2e4\ub978 \uc5b8\uc5b4\uc5d0 \ub300\ud55c \uc694\uc57d\ub3c4 \uc81c\uacf5\ud569\ub2c8\ub2e4. Affine \ubcc0\ud658\uc774\ub780? 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