{"id":46344,"date":"2022-12-08T20:00:00","date_gmt":"2022-12-08T11:00:00","guid":{"rendered":"https:\/\/www.charlezz.com\/?p=46344"},"modified":"2022-12-08T17:21:54","modified_gmt":"2022-12-08T08:21:54","slug":"opencv%eb%a1%9c-%eb%b0%b0%ec%9a%b0%eb%8a%94-%ec%95%88%eb%93%9c%eb%a1%9c%ec%9d%b4%eb%93%9c-%ec%bc%80%ec%8a%a4%ec%bc%80%ec%9d%b4%eb%93%9c-%eb%b6%84%eb%a5%98%ea%b8%b0%ec%96%bc%ea%b5%b4%ea%b2%80","status":"publish","type":"post","link":"https:\/\/charlezz.com\/?p=46344","title":{"rendered":"[OpenCV\ub85c \ubc30\uc6b0\ub294 \uc548\ub4dc\ub85c\uc774\ub4dc] \ucf00\uc2a4\ucf00\uc774\ub4dc \ubd84\ub958\uae30:\uc5bc\uad74\uac80\ucd9c"},"content":{"rendered":"\n

\uc774\ubc88 \ud3ec\uc2a4\ud305\uc5d0\uc11c\ub294 Haar \ud2b9\uc9d5 \uae30\ubc18\uc758 \ucf00\uc2a4\ucf00\uc774\ub4dc \uac1d\uccb4 \uac80\ucd9c\uc6d0\ub9ac\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uace0 \uc5bc\uad74\uc744 \b\uac10\uc9c0\ud558\ub294 \ud2b9\uc9d5(feature)\uc744 \uad6c\ud604\ud55c\ub2e4.<\/p>\n\n\n\n

Cascade Classifier\uc640 \uc5bc\uad74 \uac80\ucd9c \uc6d0\ub9ac<\/h2>\n\n\n\n

Haar \uac1d\uccb4 \uac80\ucd9c\uae30\ub97c \uc0ac\uc6a9\ud558\ub294 \uac1d\uccb4 \uac80\ucd9c\uc740 \ud6a8\uacfc\uc801\uc778 \uac1d\uccb4 \uac80\ucd9c \ubc29\uc2dd\uc73c\ub85c Paul Viola \uc640 Michael Jones\uc758 \uc758\ud574 2001\ub144\uc5d0 \uace0\uc548\ub418\uc5c8\ub2e4. (\ub17c\ubb38<\/a>)<\/p>\n\n\n\n

\ud574\ub2f9 \ub17c\ubb38\uc740 \uba38\uc2e0\ub7ec\ub2dd \uae30\ubc18\uc758 \uc811\uadfc\ubc29\uc2dd\uc73c\ub85c, Positive \uc774\ubbf8\uc9c0\uc640 Negative \uc774\ubbf8\uc9c0\ub4e4\ub85c\ubd80\ud130 \ucf00\uc774\uc2a4\ucf00\uc774\ub4dc \ud2b9\uc9d5\uc744 \ud559\uc2b5\uc2dc\ud0a4\uace0, \ub2e4\ub978 \uc774\ubbf8\uc9c0\ub0b4\uc5d0 \uc788\ub294 \uac1d\uccb4\ub4e4\uc744 \uac80\ucd9c\ud558\ub294\ub370 \uadf8\uac83\uc744 \uc0ac\uc6a9\ud558\uac8c \ub41c\ub2e4.<\/p>\n\n\n\n

Positive \uc774\ubbf8\uc9c0\ub294 \uac80\ucd9c\ud558\uace0\uc790 \ud558\ub294 \uac1d\uccb4\uac00 \ud3ec\ud568\ub41c \uc774\ubbf8\uc9c0\ub97c \uc758\ubbf8\ud569\ub2c8\ub2e4. Negative \uc774\ubbf8\uc9c0\ub294 \uadf8 \ubc18\ub300\uc758 \uacbd\uc6b0\ub97c \uc758\ubbf8\ud55c\ub2e4.<\/p><\/blockquote>\n\n\n\n

\uc5bc\uad74 \uac80\ucd9c\uc744 \ud558\uae30 \uc704\ud574\uc11c\ub294 \ubd84\ub958\uae30(classifier)\ub97c \ud559\uc2b5\uc2dc\ucf1c\uc57c \ud558\ub294\ub370, (Postive \ubc0f Negative \ub458 \ub2e4) \ub9ce\uc740\uc591\uc758 \uc774\ubbf8\uc9c0\uac00 \ud544\uc694\ud558\ub2e4. \uadf8\ub7f4\ub824\uba74 \uc774\ubbf8\uc9c0\ub4e4\ub85c\ubd80\ud130 \ud2b9\uc9d5(feature)\ub4e4\uc744 \ucd94\ucd9c\ud574\uc57c \ud558\ub294\ub370, \ud5dd\uac00\ub9ac\uc758 \uc218\ud559\uc790 Haar\uac00 \ub9cc\ub4e0 \ud2b9\uc9d5 \ucd94\ucd9c \ubc29\uc2dd\uc744 \uc774\uc6a9\ud558\uac8c \ub41c\ub2e4.<\/p>\n\n\n\n

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Haar \ud2b9\uc9d5 \ucd94\ucd9c \ubc29\uc2dd<\/em><\/figcaption><\/figure>\n\n\n\n

\uc704 \uadf8\ub9bc\uc5d0 \ubcf4\uc774\ub294 \uac83\ub4e4\uc740 \ub2e8\uc9c0 \ub098\uc120\ud615 \ucee4\ub110\uc5d0 \ubd88\uacfc\ud558\ub2e4. \uac01 \ud2b9\uc9d5\uc740 \uac80\uc740\uc0c9 \uc0ac\uac01\ud615 \ud53d\uc140 \ud569<\/strong>\uc5d0\uc11c \ud770\uc0c9 \uc0ac\uac01\ud615 \ud53d\uc140 \ud569<\/strong>\uc744 \ube80 \ub2e8\uc77c\uac12\uc774\ub2e4.<\/p>\n\n\n\n

\uac01 \ucee4\ub110\uc758 \uac00\ub2a5\ud55c \ubaa8\ub4e0 \ud06c\uae30\uc640 \uc704\uce58\ub97c \uc774\uc6a9\ud558\uc5ec \ub9ce\uc740 \ud2b9\uc9d5\ub4e4\uc744 \uacc4\uc0b0\ud558\uac8c \ub41c\ub2e4. \ud55c\ubc88 \uc0c1\uc0c1\ud574\ubcf4\uc790, 24*24 \uc708\ub3c4\uc6b0\ub77c\uba74 160,000\uac1c\uac00 \ub118\ub294 \ud2b9\uc9d5\uc774 \uc0dd\uc131\ub41c\ub2e4.<\/p>\n\n\n\n

\uc544\uae4c \uc5b8\uae09\ud588\ub4ef\uc774 \uac01 \ud2b9\uc9d5 \uacc4\uc0b0\uc744 \uc704\ud574\uc11c \ud770\uc0c9 \uc0ac\uac01\ud615\uacfc \uac80\uc740\uc0c9 \uc0ac\uac01\ud615\uc5d0 \uc788\ub294 \ud53d\uc140\ub4e4\uc758 \ud569\uc744 \ucc3e\uc544\uc57c\ud558\ub294\ub370, \uc774\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 \uc801\ubd84 \uc774\ubbf8\uc9c0(integral image)\ub97c \ub3c4\uc785\ud588\ub2e4. \uc774\ub294 \uc774\ubbf8\uc9c0\uac00 \uc544\ubb34\ub9ac \ud06c\ub354\ub77c\ub3c4 \uc8fc\uc5b4\uc9c4 \ud53d\uc140\uc5d0 \ub300\ud55c \uacc4\uc0b0\uc744 4\ud53d\uc140\ub9cc \ud3ec\ud568\ud558\ub294 \uc791\uc5c5\uc73c\ub85c, \uc5f0\uc0b0\ub7c9\uc744 \ud68d\uae30\uc801\uc73c\ub85c \uc904\uc774\uac8c \ub41c\ub2e4.<\/p>\n\n\n\n

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\uc6d0\ubcf8 \uc774\ubbf8\uc9c0\ub97c \uc801\ubd84 \uc774\ubbf8\uc9c0\ub85c \ubcc0\ud658<\/em><\/figcaption><\/figure>\n\n\n\n

\uadf8\ub7ec\ub098 \uc6b0\ub9ac\uac00 \uacc4\uc0b0\ud55c \uc774\ub7ec\ud55c \ubaa8\ub4e0 \ud2b9\uc9d5\ub4e4 \ub300\ubd80\ubd84\uc740 \uad00\ub828\uc774 \uc5c6\ub2e4. \uc544\ub798\uc758 \uc774\ubbf8\uc9c0\ub97c \uc608\ub85c \ub4e4\uc5b4\ubcf4\uc790.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\ub9e8 \uc717 \ud589\uc740 \uc88b\uc740 \ud2b9\uc9d5 \ub450\uac00\uc9c0\ub97c \ubcf4\uc5ec\uc900\ub2e4. \uccab \ubc88\uc9f8\ub85c \uc120\ud0dd\ud55c \ud2b9\uc9d5\uc740 \ub208\uc758 \uc601\uc5ed\uc774 \ucf54\uc640 \ubea8\uc758 \uc601\uc5ed\ubcf4\ub2e4 \ub354 \uc5b4\ub461\ub2e4\ub294 \uc18d\uc131\uc5d0 \ucd08\uc810\uc744 \ub9de\ucd98\ub2e4. \uc120\ud0dd\ub41c \ub450 \ubc88\uc9f8 \ud2b9\uc9d5\uc740 \ub208\uc774 \ucf67\ub300\ubcf4\ub2e4 \uc5b4\ub461\ub2e4\ub294 \ud2b9\uc131\uc5d0 \uc758\uc874\ud55c\ub2e4. \uadf8\ub7ec\ub098 \uac19\uc740 \uc708\ub3c4\uc6b0\ub4e4\uc744 \ubcfc\uc774\ub098 \ub2e4\ub978 \uacf3\uc5d0 \uc801\uc6a9\ud558\ub294 \uac83\uc740 \ubd80\uc801\uc808\ud558\ub2e4. \uadf8\ub807\ub2e4\uba74 16\ub9cc\uac1c \uc774\uc0c1\uc758 \ud2b9\uc9d5 \uc911\uc5d0\uc11c \ud2b9\uc9d5\uc744 \uc5b4\ub5bb\uac8c \uc120\ud0dd\ud560\uae4c? \uc774 \ubd80\ubd84\uc740 Adaboost<\/a>\ub85c \ud574\uacb0\ud560 \uc218 \uc788\ub2e4.<\/p>\n\n\n\n

\uc774\ub97c \uc704\ud574, \ubaa8\ub4e0 \ud559\uc2b5\uc6a9 \uc774\ubbf8\uc9c0\uc5d0 \uac01\uac01\uc758 \ubaa8\ub4e0 \ud2b9\uc9d5\ub4e4\uc744 \uc801\uc6a9\ud55c\ub2e4.\u00a0\uac01 \ud2b9\uc9d5\uc5d0 \ub300\ud574 \uc5bc\uad74(object)\uc744 Positive \ubc0f Negative\ub85c \ubd84\ub958\ud558\ub294 \ucd5c\uc0c1\uc758 \uc784\uacc4\uac12\uc744 \ucc3e\ub294\ub2e4.\u00a0\ubd84\uba85\ud788 \uc624\ub958 \ub610\ub294 \uc798 \ubabb \ubd84\ub958\ub41c \ucf00\uc774\uc2a4\ub4e4\uc774 \uc788\uc744 \uac83\uc774\ub2e4.\u00a0\uc5bc\uad74\uacfc \uc5bc\uad74\uc774 \ud3ec\ud568\ub418\uc9c0 \uc54a\uc740 \uc774\ubbf8\uc9c0\ub97c \uac00\uc7a5 \uc815\ud655\ud558\uac8c \ubd84\ub958\ud558\ub294 \ud2b9\uc9d5\uc778 \ucd5c\uc18c \uc624\ub958\uc728\uc744 \uac00\uc9c4 \ud2b9\uc9d5\uc744 \uc120\ud0dd\ud55c\ub2e4.\u00a0\ucc98\ub9ac\uacfc\uc815\uc774 \ub9d0\ucc98\ub7fc \uac04\ub2e8\ud558\uc9c4 \uc54a\ub2e4. \ucc98\uc74c\uc5d0 \uac01 \uc774\ubbf8\uc9c0\uc5d0 \ub3d9\uc77c\ud55c \uac00\uc911\uce58\uac00 \ubd80\uc5ec\ud558\uace0, \ubd84\ub958 \ud6c4 \uc798\ubabb \ubd84\ub958\ub41c \uc774\ubbf8\uc9c0\uc758 \uac00\uc911\uce58\ub97c \uc99d\uac00\uc2dc\ud0a8\ub2e4. \uadf8\ub7f0 \ub2e4\uc74c \ub3d9\uc77c\ud55c \ud504\ub85c\uc138\uc2a4\ub97c \ub2e4\uc2dc \uc218\ud589\ud55c\ub2e4. \uc0c8\ub85c\uc6b4 \uc624\ub958\uc728\uc774 \uacc4\uc0b0\ub418\uace0, \uc0c8\ub85c\uc6b4 \uac00\uc911\uce58\uac00 \ub610 \ubd80\uc5ec\ub41c\ub2e4. \uc774 \ud504\ub85c\uc138\uc2a4\ub294 \ud544\uc694\ud55c \uc815\ud655\ub3c4, \uc624\ub958\uc728 \ub2ec\uc131 \ub610\ub294 \ud544\uc694\ud55c \ud2b9\uc9d5 \uc218\ub97c \ucc3e\uc744 \ub54c\uae4c\uc9c0 \uacc4\uc18d\ud558\uba74 \ub41c\ub2e4.<\/p>\n\n\n\n

\ucd5c\uc885\uc801\uc73c\ub85c \uc0dd\uc120\ub418\ub294 \ubd84\ub958\uae30\ub294 \uc774\ub7ec\ud55c \uc57d\ud55c \ubd84\ub958\uae30(weak classifier)\uc758 \uac00\uc911 \ud569\uc774\ub2e4.\u00a0\uadf8\uac83\ub9cc\uc73c\ub85c\ub294 \uc774\ubbf8\uc9c0\ub97c \ubd84\ub958\ud560 \uc218 \uc5c6\uae30 \ub54c\ubb38\uc5d0 \uc57d\ud558\ub2e4\uace0 \ubd88\ub9ac\uc9c0\ub9cc, \ub2e4\ub978 \uac83\ub4e4\uacfc \ud568\uaed8 \uac15\ub825\ud55c \ubd84\ub958\uae30(strong classifier)\ub97c \ud615\uc131\ud55c\ub2e4.\u00a0\uc774 \ub17c\ubb38\uc740 \uc2ec\uc9c0\uc5b4 200\uac1c\uc758 \ud2b9\uc9d5\uc774 95%\uc758 \uc815\ud655\ub3c4\ub97c \uac00\uc9c0\uace0 \ud0d0\uc9c0\ud560 \uc218 \uc788\ub2e4\uace0 \uc124\uba85\ud55c\ub2e4.\u00a0\ucd5c\uc885 \uc124\uc815\ub41c \ubd84\ub958\uae30\uc5d0\ub294 \uc57d 6000\uac1c\uc758 \ud2b9\uc9d5\ub4e4\uc774 \ud3ec\ud568\ub418\uc5c8\ub2e4. 16\ub9cc\uac1c\uc774\uc0c1\uc758 \ud2b9\uc9d5\ub4e4\uc774 6000\uac1c\uc758 \ud2b9\uc9d5\ub4e4\ub85c \uac10\uc18c\ud55c\ub2e4\uace0 \uc0c1\uc0c1\ud574\ubcf4\uc790. (\uac1c\uc774\ub4dd)<\/p>\n\n\n\n

\uc774\uc81c \uc774\ubbf8\uc9c0\ub97c 24×24 \uc708\ub3c4\uc6b0\ub85c \uac00\uc838\uc624\uc790. \uc5ec\uae30\uc5d0 6000\uac1c\uc758 \ud2b9\uc9d5\ub4e4\uc744 \uc801\uc6a9\ud558\uace0, \uc5bc\uad74\uc778\uc9c0 \uc544\ub2cc\uc9c0 \ud655\uc778\ud574\ubcf4\uc790. \uc880 \ube44\ud6a8\uc728\uc801\uc774\uace0 \uc2dc\uac04\uc774 \ub9ce\uc774 \uac78\ub9ac\ub294\uac70 \uc544\ub2cc\uac00\ub77c\uace0 \uc758\uc2ec\ud560 \uc218 \uc788\ub2e4. \uc0ac\uc2e4 \uadf8\ub807\ub2e4, \uadf8\ub807\uae30\uc5d0 Viola\uc640 Jones\ub294 \uc774\uc5d0 \ub300\ud55c \uc88b\uc740 \ud574\uacb0\ucc45\uc744 \uc81c\uc2dc\ud588\ub2e4.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/p>\n\n\n\n

\uc0dd\uac01\ud574\ubcf4\uba74 \uc774\ubbf8\uc9c0\uc5d0\uc11c \ub300\ubd80\ubd84\uc740 \uc5bc\uad74\uc774 \uc544\ub2cc \uc601\uc5ed\uc774\ub2e4.\u00a0\ub530\ub77c\uc11c \uc708\ub3c4\uc6b0\uc5d0\uc11c \uc5bc\uad74 \uc601\uc5ed\uc774 \uc544\ub2cc \ubd80\ubd84\uc744 \ud655\uc778\ud574\ubcf4\ub294 \uac83\uc774\ub2e4.\u00a0\uc5bc\uad74\uc601\uc5ed\uc774 \uc544\ub2c8\ub77c\uba74 \ud3d0\uae30\ud574\ubc84\ub9ac\uace0 \ub354 \uc774\uc0c1 \uc791\uc5c5\uc744 \uc218\ud589\ud558\uc9c0 \uc54a\uc73c\uba74 \ub41c\ub2e4.\u00a0\uc5bc\uad74\uc774 \uc788\uc744 \uc218 \uc788\ub294 \uc601\uc5ed\uc5d0 \uc9d1\uc911\ud558\uba74 \ub41c\ub2e4.\u00a0\uc774\ub807\uac8c \ud558\uba74 \uc5bc\uad74\uc774 \uc788\uc744\ub9cc\ud55c \uc601\uc5ed\uc744 \ud655\uc778\ud558\ub294\ub370 \ub354 \ub9ce\uc740 \uc2dc\uac04\uc744 \ud560\uc560\ud560 \uc218 \uc788\ub2e4.<\/p>\n\n\n\n

\uc774\ub97c \uc704\ud574 Viola\uc640 Jones\ub294<\/strong> Cascade of Classifiers<\/strong>\u00a0\uac1c\ub150\uc744 \ub3c4\uc785\ud588\uace0, 6000\uac1c \ud2b9\uc9d5\uc744 \ud558\ub098\uc758 \uc708\ub3c4\uc6b0\uc5d0 \ubaa8\ub450 \uc801\uc6a9\ud558\ub294 \ub300\uc2e0 \ud2b9\uc9d5\ub4e4\uc744 \ubd84\ub958\uae30\uc758 \uc5ec\ub7ec \ub2e8\uacc4\ub85c \uadf8\ub8f9\ud654\ud558\uc5ec \ud558\ub098\uc529 \uc801\uc6a9\ud55c\ub2e4.\u00a0\uc77c\ubc18\uc801\uc73c\ub85c \ucc98\uc74c \uba87 \ub2e8\uacc4\uc5d0\ub294 \ub9e4\uc6b0 \uc801\uc740 \uc218\uc758 \ud2b9\uc9d5\ub4e4\ub9cc \ud3ec\ud568\ub41c\ub2e4.\u00a0\uc708\ub3c4\uc6b0\uac00 \uccab \ubc88\uc9f8 \ub2e8\uacc4\uc5d0\uc11c \uc2e4\ud328\ud558\uba74 \ub354 \uc774\uc0c1 \uc9c4\ud589\ud558\uc9c0 \uc54a\uace0 \ud3d0\uae30\ud574\ubc84\ub9b0\ub2e4.\u00a0\ub098\uba38\uc9c0 \ud2b9\uc9d5\ub4e4\uc740 \uace0\ub824\ud558\uc9c0 \uc54a\ub294\ub2e4. \ub9cc\uc57d \ud1b5\uacfc\ud55c\ub2e4\uba74 \ub450 \ubc88\uc9f8 \ub2e8\uacc4\ub97c \uc801\uc6a9\ud558\uace0 \ud504\ub85c\uc138\uc2a4\ub97c \uacc4\uc18d \uc9c4\ud589\ud55c\ub2e4.\u00a0\ubaa8\ub4e0 \ub2e8\uacc4\ub97c \ud1b5\uacfc\ud558\ub294 \uc708\ub3c4\uc6b0\uac00 \uc5bc\uad74 \uc601\uc5ed\uc774 \ub418\ub294 \uac83\uc774\ub2e4.<\/p>\n\n\n\n

\uc704 \ub17c\ubb38\uc5d0\uc11c\uc758 \uc5bc\uad74 \uac80\ucd9c\uae30\ub294 \ucc98\uc74c 5\ub2e8\uacc4\uc5d0\uc11c (\uc21c\uc11c\ub300\ub85c) 1, 10, 25, 25 \ubc0f 50\uac1c\uc758 \ud2b9\uc9d5\uc744 \uac16\uace0 38\ub2e8\uacc4\uc5d0\uc11c 6000\uac1c \uc774\uc0c1\uc758 \ud2b9\uc9d5\uc744 \uac16\ub294\ub2e4.\u00a0(\uc704 \uc774\ubbf8\uc9c0\uc758 \ud2b9\uc9d5 2\uac1c\ub294 \uc2e4\uc81c\ub85c Adaboost\uc5d0\uc11c \uac00\uc7a5 \uc88b\uc740 \ud2b9\uc9d5 \ub450\uac00\uc9c0\ub97c \uac00\uc838\uc628 \uac83\uc774\ub2e4).\u00a0\uc800\uc790\uc5d0 \ub530\ub974\uba74 6000\uac1c \uc774\uc0c1\uc758 \ud2b9\uc9d5 \uc911 \ud3c9\uade0 10\uac1c \ud2b9\uc9d5\uc774 \uc708\ub3c4\uc6b0 \uc77c\ubd80 \uc601\uc5ed\uc5d0 \uc0ac\uc6a9\ub41c\ub2e4\uace0 \ud55c\ub2e4.<\/p>\n\n\n\n

\uc5bc\uad74 \uac80\ucd9c \uc608\uc81c\ucf54\ub4dc<\/h2>\n\n\n\n

CascasdeClassifier \uac1d\uccb4 \uc0dd\uc131<\/h3>\n\n\n\n
val cascadeClassifier = CascadeClassifier(\ubaa8\ub378 \ud30c\uc77c\uba85)\n\n\/\/ \ub610\ub294 \n\nval cascadeClassifier = CascadeClassifier().apply {\n    load(\ubaa8\ub378 \ud30c\uc77c\uba85)\n}<\/code><\/pre>\n\n\n\n
\ubaa8\ub378 \ud559\uc2b5<\/h3>\n\n\n\n
OpenCV\uc5d0\uc11c\ub294 \ud559\uc2b5\ud558\uae30 \uc704\ud55c \ubc29\ubc95\uc774\ub098 \ud559\uc2b5\ub41c \ubaa8\ub378<\/a>\ub4e4\uc744 \uc81c\uacf5\ud558\uace0 \uc788\ub2e4.<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
OpenCV\ub97c \ud65c\uc6a9\ud55c \ucef4\ud4e8\ud130 \ube44\uc804\uacfc \ub525\ub7ec\ub2dd<\/p>\n\n\n\n
\uba40\ud2f0\uc2a4\ucf00\uc77c \uac1d\uccb4 \uac80\ucd9c \ud568\uc218<\/h3>\n\n\n\n
detectMultiScale(\n    Mat image, \n    MatOfRect objects, \n    double scaleFactor, \n    int minNeighbors,\n    int flags, \n    Size minSize, \n    Size maxSize\n)<\/code><\/pre>\n\n\n\n
  • image: \uc785\ub825 \uc601\uc0c1(\ud68c\uc0c9\uc870 \uc774\ubbf8\uc9c0; CV_8U)<\/li>
  • objects: \uac80\ucd9c\ub41c \uac1d\uccb4\uc758 \uc0ac\uac15\ud615 \uc815\ubcf4<\/li>
  • scaleFactor: \uc601\uc0c1 \ucd95\uc18c \ube44\uc728. \uae30\ubcf8\uac12 1.1<\/li>
  • minNeighbors: \uc5bc\ub9c8\ub098 \ub9ce\uc740 \uc774\uc6c3 \uc0ac\uac01\ud615\uc774 \uac80\ucd9c\ub418\uc5b4\uc57c \ucd5c\uc885 \uac80\ucd9c \uc601\uc5ed\uc73c\ub85c \uc124\uc815\ud560\uc9c0\ub97c \uc9c0\uc815. \uae30\ubcf8\uac12\uc740 3<\/li>
  • flags: (\ud604\uc7ac) \uc0ac\uc6a9\ub418\uc9c0 \uc54a\uc74c<\/li>
  • minSize: \ucd5c\uc18c \uac1d\uccb4 \ud06c\uae30<\/li>
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    \ucd5c\uc885 \ucf54\ub4dc<\/h3>\n\n\n\n
    val image by remember {\n        mutableStateOf(\n            Utils.loadResource(context, R.drawable.lenna)\n                .also { Imgproc.cvtColor(it, it, Imgproc.COLOR_BGR2RGB) })\n    }\n    val faceModelName = \"haarcascade_frontalface_alt.xml\"\n    val eyesModelName = \"haarcascade_eye.xml\"\n    val faceModelFile = copyToCacheDir(context, faceModelName)\n    val eyesModelFile = copyToCacheDir(context, eyesModelName)\n    val faceCascade = CascadeClassifier().apply {\n        load(faceModelFile.absolutePath)\n    }\n    val eyesCascade = CascadeClassifier().apply {\n        load(eyesModelFile.absolutePath)\n    }\n\n    val grayImage = Mat().apply {\n        Imgproc.cvtColor(image, this, Imgproc.COLOR_RGB2GRAY)\n        Imgproc.equalizeHist(this, this)\n    }\n\n    val dstImage = Mat().apply {\n        Core.copyTo(image, this, Mat())\n    }\n    \/\/ -- Detect faces\n    val faces = MatOfRect()\n    faceCascade.detectMultiScale(grayImage, faces)\n    val listOfFaces: List<Rect> = faces.toList()\n    for (face in listOfFaces) {\n        val center = Point(\n            (face.x + face.width \/ 2).toDouble(),\n            (face.y + face.height \/ 2).toDouble()\n        )\n        Imgproc.ellipse(\n            dstImage, center, Size((face.width \/ 2).toDouble(), (face.height \/ 2).toDouble()), 0.0, 0.0, 360.0,\n            RED\n        )\n        val faceROI: Mat = grayImage.submat(face)\n        \/\/ -- In each face, detect eyes\n        val eyes = MatOfRect()\n        eyesCascade.detectMultiScale(faceROI, eyes)\n        val listOfEyes: List<Rect> = eyes.toList()\n        for (eye in listOfEyes) {\n            val eyeCenter = Point(\n                (face.x + eye.x + eye.width \/ 2).toDouble(),\n                (face.y + eye.y + eye.height \/ 2).toDouble()\n            )\n            val radius = ((eye.width + eye.height) * 0.25).roundToInt()\n            Imgproc.circle(dstImage, eyeCenter, radius, BLUE, 4)\n        }\n    }<\/code><\/pre>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
    <\/p>\n","protected":false},"excerpt":{"rendered":"
    \uc774\ubc88 \ud3ec\uc2a4\ud305\uc5d0\uc11c\ub294 Haar \ud2b9\uc9d5 \uae30\ubc18\uc758 \ucf00\uc2a4\ucf00\uc774\ub4dc \uac1d\uccb4 \uac80\ucd9c\uc6d0\ub9ac\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uace0 \uc5bc\uad74\uc744 \b\uac10\uc9c0\ud558\ub294 \ud2b9\uc9d5(feature)\uc744 \uad6c\ud604\ud55c\ub2e4. Cascade Classifier\uc640 \uc5bc\uad74 \uac80\ucd9c \uc6d0\ub9ac Haar \uac1d\uccb4 \uac80\ucd9c\uae30\ub97c \uc0ac\uc6a9\ud558\ub294 \uac1d\uccb4 \uac80\ucd9c\uc740 \ud6a8\uacfc\uc801\uc778 \uac1d\uccb4 \uac80\ucd9c \ubc29\uc2dd\uc73c\ub85c Paul Viola \uc640 Michael Jones\uc758 \uc758\ud574 2001\ub144\uc5d0 \uace0\uc548\ub418\uc5c8\ub2e4. (\ub17c\ubb38) \ud574\ub2f9 \ub17c\ubb38\uc740 \uba38\uc2e0\ub7ec\ub2dd \uae30\ubc18\uc758 \uc811\uadfc\ubc29\uc2dd\uc73c\ub85c, Positive \uc774\ubbf8\uc9c0\uc640 Negative \uc774\ubbf8\uc9c0\ub4e4\ub85c\ubd80\ud130 \ucf00\uc774\uc2a4\ucf00\uc774\ub4dc \ud2b9\uc9d5\uc744 \ud559\uc2b5\uc2dc\ud0a4\uace0, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[27],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/posts\/46344"}],"collection":[{"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/charlezz.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=46344"}],"version-history":[{"count":1,"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/posts\/46344\/revisions"}],"predecessor-version":[{"id":46352,"href":"https:\/\/charlezz.com\/index.php?rest_route=\/wp\/v2\/posts\/46344\/revisions\/46352"}],"wp:attachment":[{"href":"https:\/\/charlezz.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=46344"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/charlezz.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=46344"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/charlezz.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=46344"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}