{"id":6490,"date":"2019-03-25T09:24:22","date_gmt":"2019-03-25T00:24:22","guid":{"rendered":"http:\/\/www.gisdeveloper.co.kr\/?p=6490"},"modified":"2020-05-28T12:35:07","modified_gmt":"2020-05-28T03:35:07","slug":"python%ea%b3%bc-opencv-9-%ea%b8%b0%ed%95%98%ed%95%99-%eb%b3%80%ed%99%98","status":"publish","type":"post","link":"http:\/\/www.gisdeveloper.co.kr\/?p=6490","title":{"rendered":"Python\uacfc OpenCV \u2013 10 : \uae30\ud558\ud559 \ubcc0\ud658"},"content":{"rendered":"

\uc774 \uae00\uc758 \uc6d0\ubb38\uc740 https:\/\/opencv-python-tutroals.readthedocs.io\/en\/latest\/py_tutorials\/py_imgproc\/py_geometric_transformations\/py_geometric_transformations.html#geometric-transformations \uc785\ub2c8\ub2e4.<\/p>\n

OpenCV\ub294 cv2.wrapAffine, cv2.warpPerspective\ub77c\ub294 2\uac1c\uc758 \ubcc0\ud658 \ud568\uc218\ub97c \uc81c\uacf5\ud558\ub294\ub370 \uac01\uac01 2×3 \ud589\ub82c\uacfc 3×3 \ud589\ub82c\uc744 \uc778\uc790\ub85c \ubc1b\uc2b5\ub2c8\ub2e4. \uc774 \ud568\uc218\ub97c \ud1b5\ud574 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \ud06c\uae30 \ubcc0\ud658, \uc774\ub3d9, \ud68c\uc804, Affine \ubcc0\ud658, Perspective \ubcc0\ud658\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

\uba3c\uc800 \uc774\ubbf8\uc9c0 \ud06c\uae30 \ubcc0\ud658\uc778\ub370, \uc774 \uacbd\uc6b0 \uc704\uc758 \ud568\uc218\ub97c \ud1b5\ud55c \ubcc0\ud658\ub3c4 \uac00\ub2a5\ud558\uc9c0\ub9cc OpenCV\uc5d0\uc11c\ub294 cv2.resize \ud568\uc218\ub97c \uc774\uc6a9\ud574 \ud06c\uae30 \ubcc0\ud658\uc744 \uc790\uc8fc \uc218\ud589\ud558\uba70 \uc608\uc81c\ub294 \uc544\ub798\uc640 \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n

\r\nimport cv2\r\nimport numpy as np\r\n\r\nimg = cv2.imread('.\/data\/Penguins.jpg', 0)\r\n\r\nres1 = cv2.resize(img,None,fx=2, fy=2, interpolation = cv2.INTER_CUBIC)\r\n\r\nheight, width = img.shape[:2]\r\nres2 = cv2.resize(img,(2*width, 2*height), interpolation = cv2.INTER_CUBIC)\r\n\r\ncv2.imshow('res1', res1)\r\ncv2.imshow('res2', res2)\r\n\r\ncv2.waitKey()\r\n\r\ncv2.destroyAllWindows()\r\n<\/pre>\n
6\ubc88\uacfc 9\ubc88 \ucf54\ub4dc \ubaa8\ub450 \uc774\ubbf8\uc9c0\ub97c 2\ubc30 \ud655\ub300\ud558\ub294\ub370, 9\ubc88 \ucf54\ub4dc\uc758 \uacbd\uc6b0 \uc774\ubbf8\uc9c0\uc758 \ud53d\uc140 \ud06c\uae30\ub85c \ud655\ub300\uc815\ub3c4\ub97c \uc9c0\uc815\ud558\ubbc0\ub85c \uc18c\uc218\uc810\uc73c\ub85c \ud655\ub300, \ucd95\uc18c\ub294 \ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/p>\n
\ub2e4\uc74c\uc740 \uc774\ubbf8\uc9c0\ub97c \uc774\ub3d9\ud558\ub294 \ubcc0\ud658\uc785\ub2c8\ub2e4. \uc774\ub3d9 \ubcc0\ud658\uc744 \uc704\ud55c \ud589\ub82c\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\"\"<\/p>\n
\uc704\uc758 \ud589\ub82c\uc744 \uc801\uc6a9\ud558\ub294 \ucf54\ub4dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740\ub370, \uc774\ubbf8\uc9c0\ub97c x\ucd95\uc73c\ub85c 100\ub9cc\ud07c, y\ucd95\uc73c\ub85c 50\ub9cc\ud07c \uc774\ub3d9\ud569\ub2c8\ub2e4. \uc774\ub3d9\ub418\uace0 \ub0a8\uc740 \uacf5\uac04\uc740 0\uac12\uc73c\ub85c \ucc44\uc6cc\uc9c0\ubbc0\ub85c \uac80\uc815\uc0c9\uc73c\ub85c \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/p>\n
\r\nimport cv2\r\nimport numpy as np\r\n\r\nimg = cv2.imread('.\/data\/Penguins.jpg', 0)\r\n\r\nM = np.float32(\r\n    [\r\n        [1, 0,100],\r\n        [0, 1, 50]\r\n    ]\r\n)\r\n\r\nrows,cols = img.shape\r\n\r\ndst = cv2.warpAffine(img, M, (cols,rows))\r\n\r\ncv2.imshow('img',dst)\r\ncv2.waitKey(0)\r\ncv2.destroyAllWindows()\r\n<\/pre>\n
\ub2e4\uc74c\uc740 \ud68c\uc804\uc785\ub2c8\ub2e4. 2\ucc28\uc6d0\uc5d0 \ub300\ud55c \uc77c\ubc18\uc801\uc778 \ud68c\uc804 \ud589\ub82c\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\"\"<\/p>\n
\uc774\ub97c 2×3\uc778 \ud589\ub82c\ub85c \ud45c\ud604\ud574\uc57c Affine \ubcc0\ud658\uc774 \uac00\ub2a5\ud55c\ub370, \uc774\ub97c \uc704\ud574 OpenCV\ub294 cv2.getRotationMatrix2D \ub77c\ub294 \ud568\uc218\ub97c \ud1b5\ud574 \ud68c\uc804 \ud589\ub82c\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ud568\uc218\ub294 \uc7a5\uc810\uc740 \ud68c\uc804\uac12\uc758 \uc9c0\uc815\ubfd0\ub9cc \uc544\ub2c8\ub77c \ud06c\uae30 \ubcc0\ud658\uacfc \ud68c\uc804\uc911\uc2ec\uc810\ub3c4 \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ud568\uc218\ub97c \ud1b5\ud574 \uc5bb\uc744 \uc218 \uc788\ub294 \ud589\ub82c\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\"\"<\/p>\n
\uc704\uc758 \uae30\ud638\uc5d0 \ub300\ud574\uc11c<\/p>\n
\"\"<\/p>\n
\uc608\uc81c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\r\nimport cv2\r\nimport numpy as np\r\n\r\nimg = cv2.imread('.\/data\/Penguins.jpg', 0)\r\n\r\nrows,cols = img.shape\r\n\r\nM = cv2.getRotationMatrix2D((cols\/2,rows\/2), 45, 0.6)\r\nprint(M)\r\ndst = cv2.warpAffine(img,M,(cols,rows))\r\n\r\ncv2.imshow('img',dst)\r\ncv2.waitKey(0)\r\ncv2.destroyAllWindows()\r\n<\/pre>\n
8\ubc88 \ucf54\ub4dc\ub97c \ubcf4\uba74 \ud68c\uc804 \uc911\uc2ec\uc744 \uc774\ubbf8\uc9c0\uc758 \uc911\uc2ec \uc88c\ud45c\ub85c \ud588\uace0, \ud68c\uc804\uac01\ub3c4\ub294 45\ub3c4, \ud06c\uae30\ubcc0\ud658 \ube44\uc728\uc740 0.6\uc73c\ub85c \uc9c0\uc815\ud558\uc5ec \uc6d0\ub798 \ud06c\uae30\uc758 60%\ub85c \ubcc0\ud658\ub429\ub2c8\ub2e4. \uacb0\uacfc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\"\"<\/p>\n
Affine \ubcc0\ud658\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. Affine \ubcc0\ud658\uc740 \ud06c\uae30\ubcc0\ud658, \uc774\ub3d9\ubcc0\ud658, \ud68c\uc804\ubcc0\ud658\uc774 \ubc1c\uc0dd\ud574\ub3c4 \uc6d0\ub798 \ud3c9\ud589\ud588\ub358 \ud2b9\uc131\uc774 \uadf8\ub300\ub85c \uc720\uc9c0\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud2b9\uc131\uc744 \uac16\ub294 Affine \ubcc0\ud658\uc5d0 \ub300\ud55c \ud589\ub82c\uc740 cv2.getAffineTransform\uc744 \ud1b5\ud574 \uc5bb\uc744 \uc218 \uc788\uc73c\uba70 \uadf8 \uacb0\uacfc\ub294 2×3 \ud589\ub82c\uc785\ub2c8\ub2e4. \uc544\ub798\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/\/p><\/p>\n
\r\nimport cv2\r\nimport numpy as np\r\nfrom matplotlib import pyplot as plt\r\n\r\nimg = cv2.imread('.\/data\/chessboard2.jpg')\r\nrows,cols,ch = img.shape\r\n\r\npts1 = np.float32([[50,50],[200,50],[50,200]])\r\npts2 = np.float32([[10,100],[200,50],[100,250]])\r\n\r\nM = cv2.getAffineTransform(pts1,pts2)\r\n\r\ndst = cv2.warpAffine(img,M,(cols,rows))\r\n\r\nplt.subplot(121),plt.imshow(img),plt.title('Input')\r\nplt.subplot(122),plt.imshow(dst),plt.title('Output')\r\nplt.show()\r\n<\/pre>\n
\uacb0\uacfc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740\ub370..<\/p>\n
\"\"<\/p>\n
\uc704 \ucf54\ub4dc\uc5d0\uc11c 8\ubc88\uc758 3\uac1c\uc758 \uc88c\ud45c\uac00 9\ubc88\uc758 3\uac1c\uc758 \uac01\uac01\uc758 \uc88c\ud45c\ub85c \ubcc0\ud658\ub428\uc5d0 \uc788\uc5b4\uc11c \ud3c9\ud589\uc744 \uc720\uc9c0\ud558\ub3c4\ub85d \ud558\ub294 \ud589\ub82c\uc744 \uc5bb\ub294\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n
\ub2e4\uc74c\uc740 Perspective \ubcc0\ud658, \uc989 \ud22c\uc601\ubcc0\ud658\uc785\ub2c8\ub2e4. \uc774 \ubcc0\ud658\uc740 \uc9c0\uae08\uae4c\uc9c0\uc758 2×3 \ud589\ub82c\uc774 \uc544\ub2cc 3×3 \ud589\ub82c\uc785\ub2c8\ub2e4. \ubcc0\ud658 \ud6c4\uc5d0 \ud3c9\ud589\uc131\uc740 \ub354 \uc774\uc0c1 \uc720\ud6a8\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. \uc608\uc81c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\r\nimport cv2\r\nimport numpy as np\r\nfrom matplotlib import pyplot as plt\r\n\r\nimg = cv2.imread('.\/data\/chessboard2.jpg')\r\n\r\nrows,cols,ch = img.shape\r\n\r\npts1 = np.float32([[0,0],[368,52],[28,387],[389,390]])\r\npts2 = np.float32([[32,32],[300,0],[0,300],[300,300]])\r\n\r\nM = cv2.getPerspectiveTransform(pts1,pts2)\r\n\r\ndst = cv2.warpPerspective(img,M,(cols,rows))\r\n\r\nplt.subplot(121),plt.imshow(img),plt.title('Input')\r\nplt.subplot(122),plt.imshow(dst),plt.title('Output')\r\nplt.show()\r\n<\/pre>\n
\uacb0\uacfc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\"\"<\/p>\n
9\ubc88\uc5d0\uc11c \uc9c0\uc815\ud55c 4\uac1c\uc758 \uc88c\ud45c\uac00 10\ubc88\uc5d0\uc11c \uc9c0\uc815\ud55c 4\uac1c\uc758 \uc88c\ud45c\ub85c, \uac01\uac01 \ub9e4\uce6d\ub418\uc5b4 \ubcc0\ud658\uc774 \uc774\ub8e8\uc5b4\uc9c0\ub294 \ud589\ub82c\uc744 \uc5bb\ub294 \uac83\uc774\uace0 \uc774\ub807\uac8c \uc5bb\uc740 \ud589\ub82c\uc740 14\ubc88 \ucf54\ub4dc\uc758 cv2.warpPerspective \ud568\uc218\uc5d0 \uc758\ud574 \ubcc0\ud658\uc774 \uc218\ud589\ub429\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"
\uc774 \uae00\uc758 \uc6d0\ubb38\uc740 https:\/\/opencv-python-tutroals.readthedocs.io\/en\/latest\/py_tutorials\/py_imgproc\/py_geometric_transformations\/py_geometric_transformations.html#geometric-transformations \uc785\ub2c8\ub2e4. OpenCV\ub294 cv2.wrapAffine, cv2.warpPerspective\ub77c\ub294 2\uac1c\uc758 \ubcc0\ud658 \ud568\uc218\ub97c \uc81c\uacf5\ud558\ub294\ub370 \uac01\uac01 2×3 \ud589\ub82c\uacfc 3×3 \ud589\ub82c\uc744 \uc778\uc790\ub85c \ubc1b\uc2b5\ub2c8\ub2e4. \uc774 \ud568\uc218\ub97c \ud1b5\ud574 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \ud06c\uae30 \ubcc0\ud658, \uc774\ub3d9, \ud68c\uc804, Affine \ubcc0\ud658, Perspective \ubcc0\ud658\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uba3c\uc800 \uc774\ubbf8\uc9c0 \ud06c\uae30 \ubcc0\ud658\uc778\ub370, \uc774 \uacbd\uc6b0 \uc704\uc758 \ud568\uc218\ub97c \ud1b5\ud55c \ubcc0\ud658\ub3c4 \uac00\ub2a5\ud558\uc9c0\ub9cc OpenCV\uc5d0\uc11c\ub294 cv2.resize \ud568\uc218\ub97c \uc774\uc6a9\ud574 \ud06c\uae30 \ubcc0\ud658\uc744 \uc790\uc8fc \uc218\ud589\ud558\uba70 \uc608\uc81c\ub294 … <\/p>\n
\ub354 \ubcf4\uae30 “Python\uacfc OpenCV \u2013 10 : \uae30\ud558\ud559 \ubcc0\ud658”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[130,131],"tags":[],"class_list":["post-6490","post","type-post","status-publish","format-standard","hentry","category-opencv","category-python"],"_links":{"self":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6490","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6490"}],"version-history":[{"count":14,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6490\/revisions"}],"predecessor-version":[{"id":9479,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/6490\/revisions\/9479"}],"wp:attachment":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6490"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6490"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6490"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}