{"id":38800,"date":"2024-11-02T00:57:11","date_gmt":"2024-11-02T00:57:11","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38800"},"modified":"2024-11-26T06:43:18","modified_gmt":"2024-11-26T06:43:18","slug":"opencv-%ea%b0%95%ec%a2%8c-%ec%99%b8%ea%b3%bd%ec%84%a0-%ed%99%9c%ec%9a%a9%ed%95%9c-%eb%8f%84%ed%98%95-%ec%9d%b8%ec%8b%9d%ea%b3%bc-%eb%9d%bc%eb%b2%a8%eb%a7%81","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38800\/","title":{"rendered":"OpenCV \uac15\uc88c, \uc678\uacfd\uc120 \ud65c\uc6a9\ud55c \ub3c4\ud615 \uc778\uc2dd\uacfc \ub77c\ubca8\ub9c1"},"content":{"rendered":"<p>OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \uad00\ub828 \uc791\uc5c5\uc744 \uc6a9\uc774\ud558\uac8c \uc218\ud589\ud558\uae30 \uc704\ud574 \uc124\uacc4\ub41c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \ucc98\ub9ac\ud558\uace0 \ub3c4\ud615\uc744 \uc778\uc2dd\ud558\uba70 \uc774\ub97c \ub77c\ubca8\ub9c1\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. \uc678\uacfd\uc120 \ucd94\ucd9c \ubc29\ubc95\uacfc \ub3c4\ud615 \uc778\uc2dd \uae30\uc220\uc744 \ud1b5\ud574 \ub2e4\uc591\ud55c \ub3c4\ud615\uc744 \uc790\ub3d9\uc73c\ub85c \uc2dd\ubcc4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc8fc\ub85c Python\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\ubaa9\ucc28<\/h2>\n<ul>\n<li><a href=\"#opencv\uc18c\uac1c\">OpenCV \uc18c\uac1c<\/a><\/li>\n<li><a href=\"#\ud658\uacbd\uc124\uc815\">\ud658\uacbd \uc124\uc815<\/a><\/li>\n<li><a href=\"#\uae30\ubcf8\uac1c\ub150\">\uae30\ubcf8 \uac1c\ub150<\/a><\/li>\n<li><a href=\"#\uc678\uacfd\uc120\ucd94\ucd9c\">\uc678\uacfd\uc120 \ucd94\ucd9c<\/a><\/li>\n<li><a href=\"#\ub3c4\ud615\uc778\uc2dd\">\ub3c4\ud615 \uc778\uc2dd<\/a><\/li>\n<li><a href=\"#\ub77c\ubca8\ub9c1\">\ub77c\ubca8\ub9c1<\/a><\/li>\n<li><a href=\"#\uc2e4\uc81c\ucf54\ub4dc\">\uc2e4\uc81c \ucf54\ub4dc \uc608\uc81c<\/a><\/li>\n<li><a href=\"#\uacb0\ub860\">\uacb0\ub860<\/a><\/li>\n<\/ul>\n<h2 id=\"opencv\uc18c\uac1c\">1. OpenCV \uc18c\uac1c<\/h2>\n<p>OpenCV\ub294 2000\ub144\uc5d0 \uc778\ud154\uc5d0\uc11c \ucc98\uc74c \uac1c\ubc1c\ub41c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \uc624\ub298\ub0a0 \ub370\uc774\ud130 \ubd84\uc11d\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud3ec\ud568\ud55c \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624 \ucc98\ub9ac \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ub370 \uac15\ub825\ud55c \ub3c4\uad6c\ub97c \uc81c\uacf5\ud558\uc5ec \uc5f0\uad6c \ubc0f \uc0c1\uc6a9 \uc81c\ud488\uc5d0 \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. OpenCV\ub294 C++, Python, Java \ub4f1 \uc5ec\ub7ec \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub97c \uc9c0\uc6d0\ud569\ub2c8\ub2e4.<\/p>\n<h2 id=\"\ud658\uacbd\uc124\uc815\">2. \ud658\uacbd \uc124\uc815<\/h2>\n<p>OpenCV\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \uba3c\uc800 Python \ud658\uacbd\uc744 \uc124\uc815\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ud544\uc694\ud55c \ud328\ud0a4\uc9c0 \uc124\uce58 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>pip install opencv-python\npip install opencv-python-headless\npip install numpy\n<\/code><\/pre>\n<p>\uc124\uce58\uac00 \uc644\ub8cc\ub418\uba74, \uae30\ubcf8\uc801\uc778 OpenCV \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud560 \uc900\ube44\uac00 \uc644\ub8cc\ub429\ub2c8\ub2e4.<\/p>\n<h2 id=\"\uae30\ubcf8\uac1c\ub150\">3. \uae30\ubcf8 \uac1c\ub150<\/h2>\n<p>\ub3c4\ud615 \uc778\uc2dd \ubc0f \ub77c\ubca8\ub9c1\uc744 \uc124\uba85\ud558\uae30 \uc704\ud574, \uba87 \uac00\uc9c0 \uae30\ubcf8 \uc54c\uace0\ub9ac\uc998\uacfc \uac1c\ub150\uc744 \uc774\ud574\ud574\uc57c \ud569\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \uc678\uacfd\uc120 \ucd94\ucd9c(contour extraction), \ub3c4\ud615\uc758 \ud615\ud0dc(circular, rectangular), \uadf8\ub9ac\uace0 \ub77c\ubca8\ub9c1(Labeling) \uacfc\uc815\uc5d0 \ub300\ud574 \ub2e4\ub8f0 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h3>3.1 \uc678\uacfd\uc120 (Contour)<\/h3>\n<p>\uc678\uacfd\uc120\uc774\ub780 2D \uc774\ubbf8\uc9c0\uc5d0\uc11c \ud53c\uc0ac\uccb4\ub97c \uc815\uc758\ud558\ub294 \uacbd\uacc4\uc120\uc785\ub2c8\ub2e4. OpenCV\uc5d0\uc11c\ub294 <code>cv2.findContours()<\/code> \ud568\uc218\ub97c \ud1b5\ud574 \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.2 \ub3c4\ud615 \uc778\uc2dd<\/h3>\n<p>\ub3c4\ud615 \uc778\uc2dd\uc740 \ud2b9\ud788 \uba74\uc801\uacfc \uc678\uacfd\uc120\uc744 \uae30\ubc18\uc73c\ub85c \ub3c4\ud615\uc744 \ubd84\ub958\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc6d0, \uc0ac\uac01\ud615, \ub2e4\uac01\ud615 \ub4f1\uc744 \uc778\uc2dd\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h3>3.3 \ub77c\ubca8\ub9c1<\/h3>\n<p>\ub77c\ubca8\ub9c1\uc774\ub780 \uc778\uc2dd\ub41c \ub3c4\ud615\uc5d0 \uc774\ub984\uc744 \ubd99\uc774\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc0dd\uc131\ub41c \uc678\uacfd\uc120 \uc815\ubcf4\ub97c \ubc14\ud0d5\uc73c\ub85c \uac01 \ub3c4\ud615\uc5d0 \uc758\ud574 \uc774\ub984 \ubd99\uc5ec\uc9c0\ub294 \ud504\ub85c\uc138\uc2a4\uc785\ub2c8\ub2e4.<\/p>\n<h2 id=\"\uc678\uacfd\uc120\ucd94\ucd9c\">4. \uc678\uacfd\uc120 \ucd94\ucd9c<\/h2>\n<p>\uc774\uc81c OpenCV\ub97c \ud65c\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \ubd88\ub7ec\uc624\uace0 \uc678\uacfd\uc120\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uc804\ucc98\ub9ac\ud55c \ud6c4 \uc678\uacfd\uc120\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>import cv2\nimport numpy as np\n\n# \uc774\ubbf8\uc9c0 \uc77d\uae30\nimage = cv2.imread('shapes.png')\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n# \uacbd\uacc4 \uac80\ucd9c\uc744 \uc704\ud55c \ubc14\uc774\ub108\ub9ac \uc774\ubbf8\uc9c0\ub85c \ubcc0\ud658\n_, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)\n\n# \uc678\uacfd\uc120 \ucc3e\uae30\ncontours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n\n# \uc678\uacfd\uc120 \uadf8\ub9ac\uae30\ncv2.drawContours(image, contours, -1, (0, 255, 0), 2)\n\n# \uacb0\uacfc \ud45c\uc2dc\ncv2.imshow('Contours', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<p>\uc774 \ucf54\ub4dc\ub294 \uc785\ub825 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc678\uacfd\uc120\uc744 \uac80\ucd9c\ud558\uace0 \uc774\ub97c \ub179\uc0c9\uc73c\ub85c \uac15\uc870\ud558\uc5ec \ud45c\uc2dc\ud569\ub2c8\ub2e4. <code>cv2.threshold()<\/code> \ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uc774\uc9c4\ud654\ud55c \ud6c4, <code>cv2.findContours()<\/code>\ub97c \ud638\ucd9c\ud558\uc5ec \uc678\uacfd\uc120\uc744 \ucc3e\uc2b5\ub2c8\ub2e4.<\/p>\n<h2 id=\"\ub3c4\ud615\uc778\uc2dd\">5. \ub3c4\ud615 \uc778\uc2dd<\/h2>\n<p>\uc678\uacfd\uc120\uc774 \ucd94\ucd9c\ub41c \ud6c4, \uac01 \ub3c4\ud615\uc758 \ud615\ud0dc\ub97c \ubd84\uc11d\ud558\uc5ec \uc778\uc2dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub294 \uac01 \uc678\uacfd\uc120\uc758 \ud615\ud0dc\ub97c \uc2dd\ubcc4\ud558\uace0 \uc774\uc5d0 \ub530\ub77c \ub3c4\ud615\uc758 \uc774\ub984\uc744 \ucd9c\ub825\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n<pre><code>for contour in contours:\n    # \uc678\uacfd\uc120\uc758 \uba74\uc801\n    area = cv2.contourArea(contour)\n\n    # \uc791\uc740 \uc678\uacfd\uc120 \ubb34\uc2dc\n    if area &lt; 100:\n        continue\n\n    # \uc678\uacfd\uc120\uc744 \uadfc\uc0ac\ud558\uc5ec \ub3c4\ud615\uc758 \uaf2d\uc9d3\uc810 \uc218 \uacc4\uc0b0\n    epsilon = 0.02 * cv2.arcLength(contour, True)\n    approx = cv2.approxPolyDP(contour, epsilon, True)\n\n    # \ub3c4\ud615 \uc778\uc2dd\n    if len(approx) == 3:\n        cv2.putText(image, 'Triangle', tuple(approx[0][0]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n    elif len(approx) == 4:\n        # \uba74\uc801\ube44\uc728\ub85c \uc0ac\uac01\ud615\uc778\uc9c0 \ud655\uc778\n        x, y, w, h = cv2.boundingRect(contour)\n        aspectRatio = float(w) \/ h\n        if aspectRatio &gt;= 0.95 and aspectRatio &lt;= 1.05:\n            cv2.putText(image, 'Square', (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n        else:\n            cv2.putText(image, 'Rectangle', (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n    elif len(approx) == 5:\n        cv2.putText(image, 'Pentagon', tuple(approx[0][0]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n    elif len(approx) == 6:\n        cv2.putText(image, 'Hexagon', tuple(approx[0][0]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n    else:\n        cv2.putText(image, 'Circle', (int(contour[0][0][0]), int(contour[0][0][1])), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n<\/code><\/pre>\n<p>\uc774 \ucf54\ub4dc\ub294 \uac01 \ub3c4\ud615\uc744 \uc678\uacfd\uc120\uc758 \uaf2d\uc9d3\uc810 \uc218\uc640 \uba74\uc801 \ube44\uc728\uc744 \ubc14\ud0d5\uc73c\ub85c \uc2dd\ubcc4\ud569\ub2c8\ub2e4. \uc0bc\uac01\ud615, \uc0ac\uac01\ud615, \uc6d0 \ub4f1\uc758 \ub3c4\ud615\uc744 \uc778\uc2dd\ud558\uace0 \ud574\ub2f9 \uc774\ub984\uc744 \uc774\ubbf8\uc9c0\uc5d0 \ucd94\uac00\ud558\uc5ec \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/p>\n<h2 id=\"\ub77c\ubca8\ub9c1\">6. \ub77c\ubca8\ub9c1<\/h2>\n<p>\ub77c\ubca8\ub9c1 \uc791\uc5c5\uc740 \uc778\uc2dd\ub41c \ub3c4\ud615\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \uc0ac\uc6a9\uc790\uac00 \uc774\ud574\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ud45c\ud604\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \uac01 \ub3c4\ud615\uc758 \uc704\uce58\uc640 \ud615\ud0dc\ub97c \uae30\ubc18\uc73c\ub85c \uc774\ub984\uc744 \ubd99\uc600\uc2b5\ub2c8\ub2e4. \uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c\ub3c4 \uc774\ubbf8\uc9c0\ub97c \ud45c\uc2dc\ud560 \ub54c \ub3c4\ud615 \uc774\ub984\uc744 \uc801\uc5b4\uc90c\uc73c\ub85c\uc368 \ub77c\ubca8\ub9c1\uc744 \uc218\ud589\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<h2 id=\"\uc2e4\uc81c\ucf54\ub4dc\">7. \uc2e4\uc81c \ucf54\ub4dc \uc608\uc81c<\/h2>\n<p>\uc804\uccb4 \ucf54\ub4dc\ub97c \ud558\ub098\ub85c \ubb36\uc73c\uba74 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. \uc8fc\uc5b4\uc9c4 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ub3c4\ud615\uc744 \uc778\uc2dd\ud558\uace0 \ub77c\ubca8\ub9c1\ud558\ub294 \uc804\uccb4\uc801\uc778 \ud504\ub85c\uc138\uc2a4\ub97c \uad6c\ud604\ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n<pre><code>import cv2\nimport numpy as np\n\n# \uc774\ubbf8\uc9c0 \uc77d\uae30\nimage = cv2.imread('shapes.png')\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n# \uc774\uc9c4\ud654\n_, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)\ncontours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n\nfor contour in contours:\n    area = cv2.contourArea(contour)\n    if area &lt; 100:\n        continue\n    epsilon = 0.02 * cv2.arcLength(contour, True)\n    approx = cv2.approxPolyDP(contour, epsilon, True)\n    \n    # \ub3c4\ud615 \uc778\uc2dd \ubc0f \ub77c\ubca8\ub9c1\n    if len(approx) == 3:\n        cv2.putText(image, 'Triangle', tuple(approx[0][0]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n    elif len(approx) == 4:\n        x, y, w, h = cv2.boundingRect(contour)\n        aspectRatio = float(w) \/ h\n        if aspectRatio &gt;= 0.95 and aspectRatio &lt;= 1.05:\n            cv2.putText(image, 'Square', (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n        else:\n            cv2.putText(image, 'Rectangle', (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n    elif len(approx) == 5:\n        cv2.putText(image, 'Pentagon', tuple(approx[0][0]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n    elif len(approx) == 6:\n        cv2.putText(image, 'Hexagon', tuple(approx[0][0]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n    else:\n        cv2.putText(image, 'Circle', (int(contour[0][0][0]), int(contour[0][0][1])), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n\n# \uacb0\uacfc \ud45c\uc2dc\ncv2.imshow('Shapes', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<h2 id=\"\uacb0\ub860\">8. \uacb0\ub860<\/h2>\n<p>\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc774\uc6a9\ud558\uc5ec \uc678\uacfd\uc120\uc744 \ucd94\ucd9c\ud558\uace0 \ub3c4\ud615\uc744 \uc778\uc2dd\ud558\uba70 \ub77c\ubca8\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. OpenCV\uc758 \ub2e4\uc591\ud55c \uae30\ub2a5\uc744 \ud65c\uc6a9\ud558\uc5ec \ub354\uc6b1 \ubcf5\uc7a1\ud55c \uc774\ubbf8\uc9c0 \ucc98\ub9ac\uc640 \ubd84\uc11d \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c \ub354 \ub9ce\uc740 \uc608\uc81c\uc640 \uae30\uc220\uc744 \ud1b5\ud574 \uc5ec\ub7ec\ubd84\uc758 \ucef4\ud4e8\ud130 \ube44\uc804 \uc9c0\uc2dd\uc744 \ud655\uc7a5\ud574 \ub098\uac00\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<p>\uc790\uc138\ud55c \ub0b4\uc6a9\uc740 OpenCV\uc758 \uacf5\uc2dd \ubb38\uc11c \ubc0f \ucee4\ubba4\ub2c8\ud2f0 \uc790\ub8cc\ub97c \ucc38\uc870\ud558\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<p>\uac10\uc0ac\ud569\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \uad00\ub828 \uc791\uc5c5\uc744 \uc6a9\uc774\ud558\uac8c \uc218\ud589\ud558\uae30 \uc704\ud574 \uc124\uacc4\ub41c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \ucc98\ub9ac\ud558\uace0 \ub3c4\ud615\uc744 \uc778\uc2dd\ud558\uba70 \uc774\ub97c \ub77c\ubca8\ub9c1\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. \uc678\uacfd\uc120 \ucd94\ucd9c \ubc29\ubc95\uacfc \ub3c4\ud615 \uc778\uc2dd \uae30\uc220\uc744 \ud1b5\ud574 \ub2e4\uc591\ud55c \ub3c4\ud615\uc744 \uc790\ub3d9\uc73c\ub85c \uc2dd\ubcc4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc8fc\ub85c Python\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \ubaa9\ucc28 OpenCV \uc18c\uac1c \ud658\uacbd \uc124\uc815 \uae30\ubcf8 \uac1c\ub150 \uc678\uacfd\uc120 \ucd94\ucd9c &hellip; <a href=\"https:\/\/atmokpo.com\/w\/38800\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;OpenCV \uac15\uc88c, \uc678\uacfd\uc120 \ud65c\uc6a9\ud55c \ub3c4\ud615 \uc778\uc2dd\uacfc \ub77c\ubca8\ub9c1&#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-38800","post","type-post","status-publish","format-standard","hentry","category-opencv"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - 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