OpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation - \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\/38758\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c Semantic Segmentation\uacfc Instance Segmentation\uc740 \uac1d\uccb4\ub97c \uc774\ud574\ud558\uace0 \ubd84\ub9ac\ud558\ub294 \ub370 \uc911\uc694\ud55c \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, OpenCV\uc640 Python\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ub97c \uad6c\ud604\ud560 \uc218 \uc788\ub294 \uc608\uc81c \ucf54\ub4dc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. 1. 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Semantic Segmentation\uc740 \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uac01 \ud53d\uc140\uc744 \ud2b9\uc815 \ud074\ub798\uc2a4\uc5d0 \ud560\ub2f9\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc790\ub3d9\ucc28, \ubcf4\ud589\uc790, \uc790\uc804\uac70 \ub4f1 \ub2e4\uc591\ud55c \ud074\ub798\uc2a4\uac00 \uc788\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c, \uac01 … \ub354 \ubcf4\uae30 "OpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/38758\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-02T00:56:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:43:25+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\/38758\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38758\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"OpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation\",\"datePublished\":\"2024-11-02T00:56:51+00:00\",\"dateModified\":\"2024-11-26T06:43:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38758\/\"},\"wordCount\":88,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"OpenCV\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/38758\/\",\"url\":\"https:\/\/atmokpo.com\/w\/38758\/\",\"name\":\"OpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation - 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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. 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YOLO\ub780 \ubb34\uc5c7\uc778\uac00? YOLO(You Only Look Once)\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \ud0d0\uc9c0\ud558\ub294 \uc54c\uace0\ub9ac\uc998\uc73c\ub85c, \ub2e8\uc77c \uc2e0\uacbd\ub9dd\uc744 \ud1b5\ud574 \uc785\ub825 \uc774\ubbf8\uc9c0\ub97c \ud1b5\uacfc\uc2dc\ud0a4\uba70 \ud574\ub2f9 \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uc5ec\ub7ec \uac1d\uccb4\ub97c \ub3d9\uc2dc\uc5d0 \uc778\uc2dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 YOLO\ub294 \uc804\ud1b5\uc801\uc778 \uac1d\uccb4 \ud0d0\uc9c0 \uae30\ubc95\ub4e4\ubcf4\ub2e4 \ube60\ub974\uace0 \ud6a8\uacfc\uc801\uc778 \uc131\ub2a5\uc744 \ubcf4\uc774\uac8c \ub429\ub2c8\ub2e4. YOLO\ub294 \ucc98\uc74c \ubc1c\ud45c\ub41c \uc774\ud6c4\ub85c \uc9c0\uc18d\uc801\uc73c\ub85c\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":38784,"url":"https:\/\/atmokpo.com\/w\/38784\/","url_meta":{"origin":38758,"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\/38758","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=38758"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38758\/revisions"}],"predecessor-version":[{"id":38759,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38758\/revisions\/38759"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=38758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=38758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=38758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":38758,"date":"2024-11-02T00:56:51","date_gmt":"2024-11-02T00:56:51","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38758"},"modified":"2024-11-26T06:43:25","modified_gmt":"2024-11-26T06:43:25","slug":"opencv-%ea%b0%95%ec%a2%8c-semantic-segmentation%ea%b3%bc-instance-segmentation","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38758\/","title":{"rendered":"OpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation"},"content":{"rendered":"

<\/p>\n

\n \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c Semantic Segmentation\uacfc Instance Segmentation\uc740 \uac1d\uccb4\ub97c \uc774\ud574\ud558\uace0 \ubd84\ub9ac\ud558\ub294 \ub370 \uc911\uc694\ud55c \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, OpenCV\uc640 Python\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ub97c \uad6c\ud604\ud560 \uc218 \uc788\ub294 \uc608\uc81c \ucf54\ub4dc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.\n <\/p>\n

1. Semantic Segmentation\uc774\ub780?<\/h2>\n
\n Semantic Segmentation\uc740 \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uac01 \ud53d\uc140\uc744 \ud2b9\uc815 \ud074\ub798\uc2a4\uc5d0 \ud560\ub2f9\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc790\ub3d9\ucc28, \ubcf4\ud589\uc790, \uc790\uc804\uac70 \ub4f1 \ub2e4\uc591\ud55c \ud074\ub798\uc2a4\uac00 \uc788\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c, \uac01 \ud53d\uc140\uc740 \uadf8\uac00 \uc18d\ud558\ub294 \ud074\ub798\uc2a4\ub97c \ub098\ud0c0\ub0b4\uac8c \ub429\ub2c8\ub2e4. \uc774 \uc791\uc5c5\uc740 \uac1d\uccb4\ub97c \uad6c\ubd84\ud558\ub294 \uac83\ubfd0\ub9cc \uc544\ub2c8\ub77c, \uac01 \uac1d\uccb4\uc758 \ud615\ud0dc\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.\n <\/p>\n

1.1 \uc0ac\uc6a9 \uc608<\/h3>\n
\n Semantic Segmentation\uc740 \uc790\uc728 \uc8fc\ud589 \uc790\ub3d9\ucc28, \uc758\ub8cc \uc774\ubbf8\uc9c0 \ubd84\uc11d, \ub85c\ubd07 \ube44\uc804 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\uc758 \uac01 \ud53d\uc140\uc774 \uc5b4\ub5a4 \uac1d\uccb4\uc5d0 \uc18d\ud558\ub294\uc9c0\ub97c \uc544\ub294 \uac83\uc740 \uadf8 \uac1d\uccb4\uc758 \uc704\uce58\uc640 \ud615\ud0dc\ub97c \uc774\ud574\ud558\ub294 \ub370 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4.\n <\/p>\n

1.2 Semantic Segmentation \ubaa8\ub378<\/h3>\n
\n \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 Semantic Segmentation \ubaa8\ub378 \uc911 \ud558\ub098\ub294 U-Net\uc785\ub2c8\ub2e4. U-Net \uad6c\uc870\ub294 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub85c, \uc800\ucc28\uc6d0 \ud45c\ud604\uacfc \uace0\ucc28\uc6d0 \uc138\ubd80\uc815\ubcf4\ub97c \uacb0\ud569\ud558\uc5ec \ud53d\uc140 \uc218\uc900\uc758 \uc138\ubd84\ud654\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \ub2e4\ub978 \ub300\ud45c\uc801\uc778 \ubaa8\ub378\ub85c\ub294 DeepLab, FCN(Fully Convolutional Networks) \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n

2. Instance Segmentation\uc774\ub780?<\/h2>\n
\n Instance Segmentation\uc740 \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uac01\uac01\uc758 \uac1d\uccb4 \uc778\uc2a4\ud134\uc2a4\ub97c \ubd84\ub9ac\ud558\uc5ec \uc2dd\ubcc4\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. \ub3d9\uc77c\ud55c \ud074\ub798\uc2a4\uc5d0 \uc18d\ud558\ub294 \uac1d\uccb4\ub77c\ub3c4 \uc11c\ub85c \ub2e4\ub978 \uc778\uc2a4\ud134\uc2a4\ub85c \uac04\uc8fc\ub418\ubbc0\ub85c, \uac01 \uac1d\uccb4\uc758 \uacbd\uacc4\ub97c \ubd84\ub9ac\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub450 \ub300\uc758 \uc790\ub3d9\ucc28\uac00 \uc788\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c, \uac01\uac01\uc758 \uc790\ub3d9\ucc28\ub97c \ubcc4\uac1c\uc758 \uac1d\uccb4\ub85c \uc778\uc2dd\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.\n <\/p>\n

2.1 \uc0ac\uc6a9 \uc608<\/h3>\n
\n Instance Segmentation\uc740 \uc0ac\ub78c, \ub3d9\ubb3c, \uc5ec\ub7ec \uac1d\uccb4\uac00 \ud63c\uc7ac\ub41c \uc7a5\uba74\uc5d0\uc11c \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc774 \uae30\uc220\uc740 \ub3d9\uc601\uc0c1 \ubd84\uc11d, \uc0c1\ud638\uc791\uc6a9\ud558\ub294 \ub85c\ubd07 \uc2dc\uc2a4\ud15c, \uc99d\uac15 \ud604\uc2e4 \ub4f1 \ub2e4\uc591\ud55c \uc751\uc6a9 \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4.\n <\/p>\n

2.2 Instance Segmentation \ubaa8\ub378<\/h3>\n
\n \ub300\ud45c\uc801\uc778 Instance Segmentation \ubaa8\ub378\uc5d0\ub294 Mask R-CNN\uc774 \uc788\uc2b5\ub2c8\ub2e4. Mask R-CNN\uc740 Faster R-CNN\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uba70, \uac1d\uccb4 \ud0d0\uc9c0 \uc678\uc5d0\ub3c4 \uac01 \uac1d\uccb4\uc5d0 \ub300\ud55c \ub9c8\uc2a4\ud06c\ub97c \uc0dd\uc131\ud558\uc5ec \uac1d\uccb4\uc758 \ud615\ud0dc\ub97c \ud06c\uc9c0 \uc54a\uc740 \uc601\uc5ed\uc73c\ub85c \uc798\ub77c\ub0c5\ub2c8\ub2e4.\n <\/p>\n

3. OpenCV\uc640 Python\uc73c\ub85c \uad6c\ud604\ud558\uae30<\/h2>\n
\n OpenCV\ub294 \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624\ub97c \ucc98\ub9ac\ud558\uace0 \ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\ub294 \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \ubcf8 \ubb38\uc11c\uc5d0\uc11c\ub294 OpenCV\uc640 \ud568\uaed8 \uc0ac\uc804 \ud6c8\ub828\ub41c \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec Semantic Segmentation\uacfc Instance Segmentation\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n

3.1 Semantic Segmentation \uc608\uc81c<\/h3>\n

\n \uc774 \uc608\uc81c\uc5d0\uc11c\ub294 OpenCV\uc640 TensorFlow\ub97c \uc0ac\uc6a9\ud558\uc5ec Semantic Segmentation\uc744 \uad6c\ud604\ud569\ub2c8\ub2e4. \ubbf8\ub9ac \ud6c8\ub828\ub41c DeepLab v3 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4. \uba3c\uc800, \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uac00\uc838\uc624\uace0 \uc774\ubbf8\uc9c0\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.\n <\/p>\n

\nimport cv2\nimport numpy as np\nimport tensorflow as tf\n\n# \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378 \ub85c\ub4dc\nmodel = tf.keras.applications.DenseNet121(weights='imagenet', include_top=False)\n\n# \uc774\ubbf8\uc9c0 \ub85c\ub4dc \ubc0f \uc804\ucc98\ub9ac\nimage = cv2.imread('image.jpg')\nimage_resized = cv2.resize(image, (512, 512))\ninput_image = np.expand_dims(image_resized, axis=0)\ninput_image = tf.keras.applications.densenet.preprocess_input(input_image)\n\n# \uc608\uce21\npredictions = model.predict(input_image)\n\n# \uacb0\uacfc \ud6c4\ucc98\ub9ac\npredicted_mask = np.argmax(predictions[0], axis=-1)\npredicted_mask = np.expand_dims(predicted_mask, axis=-1)\nsegmented_image = np.concatenate([image_resized, np.uint8(predicted_mask)], axis=-1)\ncv2.imshow('Segmented Image', segmented_image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n    <\/code><\/pre>\n3.2 Instance Segmentation \uc608\uc81c<\/h3>\n\n        \uc774\ubc88\uc5d0\ub294 Mask R-CNN\uc744 \uc0ac\uc6a9\ud558\uc5ec Instance Segmentation\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. Mask R-CNN\uc740 Keras\uc640 TensorFlow\ub85c \uad6c\ud604\ud560 \uc218 \uc788\uc73c\uba70, \ub2e4\uc591\ud55c \ub525\ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.\n    <\/p>\n
\nimport cv2\nimport numpy as np\nfrom mrcnn import utils, model as mask_rcnn, visualize\nfrom mrcnn.config import Config\n\nclass CustomConfig(Config):\n    NAME = \"custom_cfg\"\n    NUM_CLASSES = 1 + 80  # 80\uac1c \ud074\ub798\uc2a4\uc640 \ubc30\uacbd\n\n# Mask R-CNN \ubaa8\ub378 \ub85c\ub4dc\nmodel = mask_rcnn.MaskRCNN(mode=\"inference\", model_dir='.\/', config=CustomConfig())\nmodel.load_weights('mask_rcnn_coco.h5', by_name=True)\n\n# \uc774\ubbf8\uc9c0 \ub85c\ub4dc\nimage = cv2.imread('image.jpg')\n\n# \uc608\uce21\nresults = model.detect([image], verbose=1)\nr = results[0]\n\n# Mask \uc2dc\uac01\ud654\nvisualize.display_instances(image, r['rois'], r['masks'], r['class_ids'], \n                            class_names, r['scores'])\n    <\/code><\/pre>\n4. \uacb0\ub860<\/h2>\n\n        Semantic Segmentation\uacfc Instance Segmentation\uc740 \ucef4\ud4e8\ud130 \ube44\uc804\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uc774 \uae30\uc220\ub4e4\uc744 \uc0ac\uc6a9\ud558\uba74 \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uac1d\uccb4\ub97c \ubcf4\ub2e4 \uc815\uad50\ud558\uac8c \ubd84\uc11d\ud558\uace0 \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. OpenCV\uc640 Python\uc744 \ud1b5\ud574 \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc18c\uac1c\ud558\uc600\uc73c\uba70, \uc2e4\uc81c \uc608\uc81c\ub97c \ud1b5\ud574 \uc0ac\uc6a9\ubc95\uc744 \ubcf4\uc5ec\uc8fc\uc5c8\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c \ub354 \ub9ce\uc740 \ub2e4\uc591\ud55c \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud1b5\ud574 \ubc1c\uc804\ub418\ub294 \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc744 \ud0d0\uad6c\ud574 \ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.\n    <\/p>\n
5. \ucc38\uace0 \uc790\ub8cc<\/h2>\n\nOpenCV \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8<\/a><\/li>\n
TensorFlow \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8<\/a><\/li>\n
Mask R-CNN GitHub \uc800\uc7a5\uc18c<\/a><\/li>\n
Mask R-CNN: https:\/\/arxiv.org\/abs\/1703.06870<\/a><\/li>\n<\/ul>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"\ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c Semantic Segmentation\uacfc Instance Segmentation\uc740 \uac1d\uccb4\ub97c \uc774\ud574\ud558\uace0 \ubd84\ub9ac\ud558\ub294 \ub370 \uc911\uc694\ud55c \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, OpenCV\uc640 Python\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ub97c \uad6c\ud604\ud560 \uc218 \uc788\ub294 \uc608\uc81c \ucf54\ub4dc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. 1. Semantic Segmentation\uc774\ub780? Semantic Segmentation\uc740 \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uac01 \ud53d\uc140\uc744 \ud2b9\uc815 \ud074\ub798\uc2a4\uc5d0 \ud560\ub2f9\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc790\ub3d9\ucc28, \ubcf4\ud589\uc790, \uc790\uc804\uac70 \ub4f1 \ub2e4\uc591\ud55c \ud074\ub798\uc2a4\uac00 \uc788\ub294 \uc774\ubbf8\uc9c0\uc5d0\uc11c, \uac01 … \ub354 \ubcf4\uae30 “OpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation”<\/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-38758","post","type-post","status-publish","format-standard","hentry","category-opencv"],"yoast_head":"\nOpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation - \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\/38758\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, Semantic Segmentation\uacfc Instance Segmentation - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c Semantic Segmentation\uacfc Instance Segmentation\uc740 \uac1d\uccb4\ub97c \uc774\ud574\ud558\uace0 \ubd84\ub9ac\ud558\ub294 \ub370 \uc911\uc694\ud55c \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, OpenCV\uc640 Python\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ub97c \uad6c\ud604\ud560 \uc218 \uc788\ub294 \uc608\uc81c \ucf54\ub4dc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. 1. 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