OpenCV \uac15\uc88c, \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815 - \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\/38806\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc548\ub155\ud558\uc138\uc694! \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc774\uc6a9\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774\ubbf8\uc9c0 \ud504\ub85c\uc138\uc2f1\uc5d0\uc11c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\ub294 \uc774\ubbf8\uc9c0\uc758 \ub300\ube44\ub97c \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud55c \uc720\uc6a9\ud55c \uae30\ubc95 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774 \uae30\uc220\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0\uc758 \uc2dc\uac01\uc801 \ud488\uc9c8\uc744 \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. 1. \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc774\ub780? \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc740 \uc774\ubbf8\uc9c0\uc758 \ud53d\uc140 \uac12\uc758 \ubd84\ud3ec\ub97c \ub098\ud0c0\ub0b4\ub294 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4. \uc218\ud3c9 \ucd95\uc740 \ud53d\uc140\uc758 \ubc1d\uae30 \uac12 (0\uc5d0\uc11c 255\uae4c\uc9c0)\uc744 \ub098\ud0c0\ub0b4\uace0, \uc218\uc9c1 \ucd95\uc740 \uac01 \ubc1d\uae30 \uac12\uc5d0 \ud574\ub2f9\ud558\ub294 … \ub354 \ubcf4\uae30 "OpenCV \uac15\uc88c, \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/38806\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-02T00:57:13+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\/38806\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38806\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"OpenCV \uac15\uc88c, \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815\",\"datePublished\":\"2024-11-02T00:57:13+00:00\",\"dateModified\":\"2024-11-26T06:43:17+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38806\/\"},\"wordCount\":11,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"OpenCV\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/38806\/\",\"url\":\"https:\/\/atmokpo.com\/w\/38806\/\",\"name\":\"OpenCV \uac15\uc88c, \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815 - 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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":38915,"url":"https:\/\/atmokpo.com\/w\/38915\/","url_meta":{"origin":38806,"position":2},"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":[]},{"id":38822,"url":"https:\/\/atmokpo.com\/w\/38822\/","url_meta":{"origin":38806,"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":38798,"url":"https:\/\/atmokpo.com\/w\/38798\/","url_meta":{"origin":38806,"position":4},"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. PyTorch\ub294 \uba38\uc2e0\ub7ec\ub2dd \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ud2b9\ud788 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc758 \uac1c\ubc1c\uacfc \ud559\uc2b5\uc5d0 \ub9ce\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 PyTorch\ub85c \ud559\uc2b5\ud55c \ubaa8\ub378\uc744 OpenCV\ub97c \ud1b5\ud574 \ub85c\ub4dc\ud558\uc5ec \uc2e4\uc2dc\uac04\uc73c\ub85c \uc2e4\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc124\uba85\ud558\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":38806,"position":5},"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":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38806","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=38806"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38806\/revisions"}],"predecessor-version":[{"id":38807,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38806\/revisions\/38807"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=38806"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=38806"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=38806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":38806,"date":"2024-11-02T00:57:13","date_gmt":"2024-11-02T00:57:13","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38806"},"modified":"2024-11-26T06:43:17","modified_gmt":"2024-11-26T06:43:17","slug":"opencv-%ea%b0%95%ec%a2%8c-%ed%9e%88%ec%8a%a4%ed%86%a0%ea%b7%b8%eb%9e%a8-%ed%8f%89%ed%99%9c%ed%99%94%ec%99%80-%eb%aa%85%ec%95%94-%eb%b3%b4%ec%a0%95","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38806\/","title":{"rendered":"OpenCV \uac15\uc88c, \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815"},"content":{"rendered":"

<\/p>\n

\uc548\ub155\ud558\uc138\uc694! \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV<\/strong>\ub97c \uc774\uc6a9\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815<\/strong>\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774\ubbf8\uc9c0 \ud504\ub85c\uc138\uc2f1\uc5d0\uc11c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\ub294 \uc774\ubbf8\uc9c0\uc758 \ub300\ube44\ub97c \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud55c \uc720\uc6a9\ud55c \uae30\ubc95 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774 \uae30\uc220\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0\uc758 \uc2dc\uac01\uc801 \ud488\uc9c8\uc744 \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc774\ub780?<\/h2>\n
\ud788\uc2a4\ud1a0\uadf8\ub7a8\uc740 \uc774\ubbf8\uc9c0\uc758 \ud53d\uc140 \uac12\uc758 \ubd84\ud3ec\ub97c \ub098\ud0c0\ub0b4\ub294 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4. \uc218\ud3c9 \ucd95\uc740 \ud53d\uc140\uc758 \ubc1d\uae30 \uac12 (0\uc5d0\uc11c 255\uae4c\uc9c0)\uc744 \ub098\ud0c0\ub0b4\uace0, \uc218\uc9c1 \ucd95\uc740 \uac01 \ubc1d\uae30 \uac12\uc5d0 \ud574\ub2f9\ud558\ub294 \ud53d\uc140\uc758 \uc218\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/p>\n
1.1. \uc774\ubbf8\uc9c0 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc758 \uc911\uc694\uc131<\/h3>\n
\uc774\ubbf8\uc9c0\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc740 \uc774\ubbf8\uc9c0\uc758 \ubc1d\uae30 \ubc0f \ub300\ube44\ub97c \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc774 \uc67c\ucabd\uc73c\ub85c \uce58\uc6b0\uccd0\uc838 \uc788\ub2e4\uba74 \uc774\ubbf8\uc9c0\uac00 \uc5b4\ub450\uc6b4 \uac83\uc774\uace0, \uc624\ub978\ucabd\uc73c\ub85c \uce58\uc6b0\uccd0\uc838 \uc788\uc73c\uba74 \uc774\ubbf8\uc9c0\uac00 \ubc1d\uc2b5\ub2c8\ub2e4. \ub530\ub77c\uc11c, \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ubd84\uc11d\ud568\uc73c\ub85c\uc368 \uc774\ubbf8\uc9c0\uc758 \ud488\uc9c8\uc744 \uac1c\uc120\ud560 \ud544\uc694\uac00 \uc788\ub294\uc9c0 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
2. \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\ub780?<\/h2>\n
\ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\ub294 \uc774\ubbf8\uc9c0\uc758 \ub300\ube44\ub97c \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud55c \uae30\ubc95\uc785\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc740 \uc774\ubbf8\uc9c0\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uc7ac\uad6c\uc131\ud558\uc5ec \ud53d\uc140 \uac12\uc758 \ubd84\ud3ec\ub97c \uade0\ub4f1\ud654\ud569\ub2c8\ub2e4. \uacb0\uacfc\uc801\uc73c\ub85c, \ubcf4\ub2e4 \uade0\uc77c\ud558\uac8c \ubd84\ud3ec\ub41c \ud53d\uc140 \uac12\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0\uc758 \uc2dc\uac01\uc801 \ud488\uc9c8\uc774 \ud5a5\uc0c1\ub429\ub2c8\ub2e4.<\/p>\n
2.1. \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\ub97c \ud558\ub294 \uc774\uc720<\/h3>\n
\n
\ub300\ube44\ub97c \ud5a5\uc0c1\uc2dc\ucf1c \uc138\ubd80 \uc815\ubcf4\ub97c \ub354 \uc798 \ubcf4\uc774\uac8c \ud568<\/li>\n
\uc5b4\ub450\uc6b4 \uc774\ubbf8\uc9c0\ub97c \ubc1d\uac8c \ub9cc\ub4e4\uace0, \ubc1d\uc740 \uc774\ubbf8\uc9c0\ub97c \uace0\ub974\uac8c \ubcf4\uc774\ub3c4\ub85d \ud568<\/li>\n
\uc774\ubbf8\uc9c0 \ubd84\uc11d \ubc0f \ucef4\ud4e8\ud130 \ube44\uc804 \uae30\ub2a5 \ud5a5\uc0c1<\/li>\n<\/ul>\n
3. OpenCV\ub97c \uc774\uc6a9\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654 \uc608\uc81c<\/h2>\n
OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\ub97c \uc801\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ud30c\uc774\uc36c\uc744 \uc774\uc6a9\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc758 \ucf54\ub4dc \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n
import cv2\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# \uc774\ubbf8\uc9c0\ub97c \uc77d\uc5b4\uc628\ub2e4\nimage = cv2.imread('input_image.jpg', cv2.IMREAD_GRAYSCALE)\n\n# \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uacc4\uc0b0\ud55c\ub2e4\nhist_original = cv2.calcHist([image], [0], None, [256], [0, 256])\n\n# \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\ub97c \uc9c4\ud589\ud55c\ub2e4\nimage_equalized = cv2.equalizeHist(image)\n\n# \ud3c9\ud65c\ud654\ub41c \uc774\ubbf8\uc9c0\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uacc4\uc0b0\ud55c\ub2e4\nhist_equalized = cv2.calcHist([image_equalized], [0], None, [256], [0, 256])\n\n# \uacb0\uacfc\ub97c \ucd9c\ub825\ud55c\ub2e4\nplt.figure(figsize=(12, 6))\n\nplt.subplot(2, 2, 1)\nplt.title('Original Image')\nplt.imshow(image, cmap='gray')\nplt.axis('off')\n\nplt.subplot(2, 2, 2)\nplt.title('Histogram of Original Image')\nplt.plot(hist_original)\nplt.xlim([0, 256])\n\nplt.subplot(2, 2, 3)\nplt.title('Equalized Image')\nplt.imshow(image_equalized, cmap='gray')\nplt.axis('off')\n\nplt.subplot(2, 2, 4)\nplt.title('Histogram of Equalized Image')\nplt.plot(hist_equalized)\nplt.xlim([0, 256])\n\nplt.tight_layout()\nplt.show()<\/code><\/pre>\n\uc704\uc758 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74, \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\uc640 \ud3c9\ud65c\ud654\ub41c \uc774\ubbf8\uc9c0\ub97c \ube44\uad50\ud560 \uc218 \uc788\uc73c\uba70, \uac01\uac01\uc5d0 \ub300\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc740 \uc9d1\uc911\ub418\uc5b4 \uc788\uc744 \uc218 \uc788\uc9c0\ub9cc, \ud3c9\ud65c\ud654\ub41c \uc774\ubbf8\uc9c0\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc740 \ubcf4\ub2e4 \uade0\uc77c\ud558\uac8c \ubd84\ud3ec\ub420 \uac83\uc785\ub2c8\ub2e4.<\/p>\n 4. \uba85\uc554 \ubcf4\uc815 (Contrast Stretching)<\/h2>\n\uba85\uc554 \ubcf4\uc815\uc740 \uc774\ubbf8\uc9c0\uc758 \uba85\uc554\uc744 \uc870\uc808\ud558\uc5ec \uc774\ubbf8\uc9c0\uc758 \ub300\ube44\ub97c \uac1c\uc120\ud558\ub294 \ub610 \ub2e4\ub978 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774 \uae30\ubc95\uc740 \uc774\ubbf8\uc9c0\uc758 \ubaa8\ub4e0 \ud53d\uc140 \uac12\uc744 \ud2b9\uc815 \ubc94\uc704\ub85c \ub9e4\ud551\ud558\uc5ec \uba85\uc554\uc744 \ub298\ub9ac\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ud53d\uc140 \uac12\uc758 \ubc94\uc704\ub294 0\uacfc 255 \uc0ac\uc774\uc785\ub2c8\ub2e4.<\/p>\n 4.1. \uba85\uc554 \ubcf4\uc815\uc758 \ud544\uc694\uc131<\/h3>\n\uba85\uc554 \ubcf4\uc815\uc740 \uc774\ubbf8\uc9c0\uc758 \ub514\ud14c\uc77c\uc744 \ubcf4\uc874\ud558\uba74\uc11c \uc774\ubbf8\uc9c0\uc758 \uba85\ub3c4\uc640 \ub300\ube44\ub97c \uc870\uc808\ud560 \uc218 \uc788\uc5b4 \uc774\ubbf8\uc9c0 \ubd84\uc11d\uc5d0 \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc758\ub8cc \uc774\ubbf8\uc9c0, \uc704\uc131 \uc0ac\uc9c4, CCTV \uc601\uc0c1 \ub4f1\uc5d0\uc11c \uc138\ubd80 \uc815\ubcf4\ub97c \uac15\uc870\ud558\uace0 \uc798 \ubcf4\uc774\uac8c \ud558\uae30 \uc704\ud574 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n 4.2. OpenCV\ub97c \uc774\uc6a9\ud55c \uba85\uc554 \ubcf4\uc815 \uc608\uc81c<\/h3>\n\uc774\uc81c OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uba85\uc554 \ubcf4\uc815\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798 \uc608\uc81c\ub294 \uac04\ub2e8\ud55c \uba85\uc554 \ubcf4\uc815 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n # \uba85\uc554 \ubcf4\uc815 \ud568\uc218 \uc815\uc758\ndef contrast_stretching(image):\n # \uc774\ubbf8\uc9c0\uc758 \ucd5c\uc18c \ubc0f \ucd5c\ub300 \ud53d\uc140 \uac12 \uacc4\uc0b0\n min_val = np.min(image)\n max_val = np.max(image)\n\n # \uba85\uc554 \ubcf4\uc815 \uc218\ud589\n stretched = ((image - min_val) \/ (max_val - min_val)) * 255\n return stretched.astype(np.uint8)\n\n# \uc774\ubbf8\uc9c0 \uc77d\uae30\nimage = cv2.imread('input_image.jpg', cv2.IMREAD_GRAYSCALE)\n\n# \uba85\uc554 \ubcf4\uc815 \uc218\ud589\ncontrast_stretched_image = contrast_stretching(image)\n\n# \uacb0\uacfc \ud654\uba74\uc5d0 \ucd9c\ub825\ncv2.imshow('Original Image', image)\ncv2.imshow('Contrast Stretched Image', contrast_stretched_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n\uc774 \uc608\uc81c\ub97c \ud1b5\ud574 \uba85\uc554 \ubcf4\uc815 \uae30\ubc95\uc744 \uc801\uc6a9\ud55c \ud6c4 \uc6d0\ubcf8 \uc774\ubbf8\uc9c0\uc640 \ubcc0\ud658\ub41c \uc774\ubbf8\uc9c0\ub97c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \ud53d\uc140 \uac12\uc758 \ucd5c\uc18c\uac12\uacfc \ucd5c\ub300\uac12\uc744 \uc774\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \ubc94\uc704\ub85c \ud53d\uc140 \uac12\uc744 \uc7ac\uc870\uc815\ud569\ub2c8\ub2e4.<\/p>\n 5. \uacb0\ub860<\/h2>\n\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \ud65c\uc6a9\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uae30\ubc95\ub4e4\uc740 \uc774\ubbf8\uc9c0\uc758 \ud488\uc9c8\uc744 \uac1c\uc120\ud558\uace0, \uc138\ubd80 \uc815\ubcf4\ub97c \uac15\uc870\ud558\uc5ec \ub2e4\uc591\ud55c \ucef4\ud4e8\ud130 \ube44\uc804 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \ud65c\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0\ub97c \uac00\uc9c0\uace0 \uc2e4\ud5d8\ud558\uba74\uc11c \uac01 \uae30\ubc95\uc758 \ud6a8\uacfc\ub97c \uc9c1\uc811 \ud655\uc778\ud574\ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n \uc77d\uc5b4\uc8fc\uc154\uc11c \uac10\uc0ac\ud569\ub2c8\ub2e4! \ub354 \ub9ce\uc740 OpenCV \uad00\ub828 \ub0b4\uc6a9\uc774 \uad81\uae08\ud558\uc2e0 \ubd84\ub4e4\uc740 \ub313\uae00\ub85c \uc9c8\ubb38\ud574\uc8fc\uc2dc\uba74 \uc131\uc2ec\uaecf \ub2f5\ubcc0\ud574\ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n <\/body><\/p>\n","protected":false},"excerpt":{"rendered":" \uc548\ub155\ud558\uc138\uc694! \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 OpenCV\ub97c \uc774\uc6a9\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774\ubbf8\uc9c0 \ud504\ub85c\uc138\uc2f1\uc5d0\uc11c \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\ub294 \uc774\ubbf8\uc9c0\uc758 \ub300\ube44\ub97c \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud55c \uc720\uc6a9\ud55c \uae30\ubc95 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774 \uae30\uc220\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0\uc758 \uc2dc\uac01\uc801 \ud488\uc9c8\uc744 \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. 1. \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc774\ub780? \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc740 \uc774\ubbf8\uc9c0\uc758 \ud53d\uc140 \uac12\uc758 \ubd84\ud3ec\ub97c \ub098\ud0c0\ub0b4\ub294 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4. \uc218\ud3c9 \ucd95\uc740 \ud53d\uc140\uc758 \ubc1d\uae30 \uac12 (0\uc5d0\uc11c 255\uae4c\uc9c0)\uc744 \ub098\ud0c0\ub0b4\uace0, \uc218\uc9c1 \ucd95\uc740 \uac01 \ubc1d\uae30 \uac12\uc5d0 \ud574\ub2f9\ud558\ub294 … \ub354 \ubcf4\uae30 “OpenCV \uac15\uc88c, \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815”<\/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-38806","post","type-post","status-publish","format-standard","hentry","category-opencv"],"yoast_head":"\nOpenCV \uac15\uc88c, \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ud3c9\ud65c\ud654\uc640 \uba85\uc554 \ubcf4\uc815 - 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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":""YOLO"\uc5d0\uc11c","block_context":{"text":"YOLO","link":"https:\/\/atmokpo.com\/w\/category\/yolo\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38822,"url":"https:\/\/atmokpo.com\/w\/38822\/","url_meta":{"origin":38806,"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. 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