{"id":38848,"date":"2024-11-02T01:39:33","date_gmt":"2024-11-02T01:39:33","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38848"},"modified":"2024-11-26T06:43:11","modified_gmt":"2024-11-26T06:43:11","slug":"yolo-%eb%aa%a8%eb%8d%b8%ec%9d%98-%ec%a0%84%ec%9d%b4-%ed%95%99%ec%8a%b5transfer-learning-%ed%81%b4%eb%9e%98%ec%8a%a4-%ec%b6%94%ea%b0%80-%eb%b0%8f-%ec%a0%9c%ea%b1%b0%eb%a5%bc-%ed%86%b5%ed%95%9c","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38848\/","title":{"rendered":"YOLO \ubaa8\ub378\uc758 \uc804\uc774 \ud559\uc2b5(Transfer Learning), \ud074\ub798\uc2a4 \ucd94\uac00 \ubc0f \uc81c\uac70\ub97c \ud1b5\ud55c \ucee4\uc2a4\ud140 \uac1d\uccb4 \uac80\ucd9c \ubaa8\ub378 \uad6c\ucd95"},"content":{"rendered":"

<\/p>\n

\ub525\ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\ub2ec\uacfc \ud568\uaed8 \uac1d\uccb4 \uac80\ucd9c \uae30\uc220\ub3c4 \ube44\uc57d\uc801\uc73c\ub85c \ubc1c\uc804\ud558\uc600\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c YOLO(You Only Look Once) \ubaa8\ub378\uc740 \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c\uc744 \uac00\ub2a5\ud558\uac8c \ud574\uc8fc\uba70, \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \uc804\uc774 \ud559\uc2b5(Transfer Learning)\uc744 \ud1b5\ud574 \uac1c\ubc1c\uc790\ub294 \uae30\uc874 \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\ub97c \ud559\uc2b5\uc2dc\ucf1c \uc27d\uac8c \ucee4\uc2a4\ud140 \uac1d\uccb4 \uac80\ucd9c \ubaa8\ub378\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 YOLO \ubaa8\ub378\uc758 \uc804\uc774 \ud559\uc2b5, \ud074\ub798\uc2a4 \ucd94\uac00 \ubc0f \uc81c\uac70\ub97c \ud1b5\ud55c \ucee4\uc2a4\ud140 \uac1d\uccb4 \uac80\ucd9c \ubaa8\ub378 \uad6c\ucd95 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. YOLO \ubaa8\ub378 \uc18c\uac1c<\/h2>\n

YOLO(You Only Look Once)\ub294 CNN(Convolutional Neural Network) \uae30\ubc18\uc758 \uac1d\uccb4 \uac80\ucd9c \uc54c\uace0\ub9ac\uc998\uc73c\ub85c, \uc774\ubbf8\uc9c0\ub97c \uaca9\uc790(grid)\ub85c \ub098\ub204\uace0 \uac01 \uaca9\uc790\uc5d0\uc11c \uac1d\uccb4\ub97c \ub3d9\uc2dc\uc5d0 \uc608\uce21\ud558\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4. YOLO\uc758 \uac00\uc7a5 \ud070 \uc7a5\uc810\uc740 \uc2e4\uc2dc\uac04\uc73c\ub85c \uac1d\uccb4 \uac80\ucd9c\uc744 \uc218\ud589\ud560 \uc218 \uc788\ub2e4\ub294 \uac83\uc774\uba70, \ub192\uc740 \uc815\ud655\ub3c4\uc640 \uc18d\ub3c4\ub97c \uc5b4\ub290 \uc815\ub3c4\ub85c \ud568\uaed8 \uc81c\uacf5\ud558\ub294 \uac83\uc774 \ud2b9\uc9d5\uc785\ub2c8\ub2e4.<\/p>\n

2. \uc804\uc774 \ud559\uc2b5(Transfer Learning)<\/h2>\n

\uc804\uc774 \ud559\uc2b5\uc740 \uc774\ubbf8 \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc0c8\ub85c\uc6b4 \uc791\uc5c5\uc5d0 \uc7ac\uc0ac\uc6a9\ud558\ub294 \uae30\ubc95\uc785\ub2c8\ub2e4. \uc8fc\ub85c \ub300\ub7c9\uc758 \ub370\uc774\ud130\uac00 \ubd80\uc871\ud560 \ub54c, \uc0ac\uc804 \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc801\uc740 \ub370\uc774\ud130\ub85c \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \uc5bb\uc744 \uc218 \uc788\uac8c \ud574\uc90d\ub2c8\ub2e4. YOLO \ubaa8\ub378\uc744 \ud65c\uc6a9\ud55c \uc804\uc774 \ud559\uc2b5\uc740 \uc5ec\ub7ec \uc885\ub958\uc758 \ub370\uc774\ud130\uc5d0 \uc801\uc6a9\ud558\uae30 \uc218\uc6d4\ud558\uba70, \uac1c\ubcc4 \uac1d\uccb4\uc5d0 \ub300\ud55c \ud559\uc2b5\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uc139\uc158\uc5d0\uc11c\ub294 YOLO v3 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc804\uc774 \ud559\uc2b5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc548\ub0b4\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

2.1 YOLO v3 \ud65c\uc6a9<\/h3>\n

YOLO v3\ub294 \ub2e4\uc591\ud55c \ud06c\uae30\uc758 \uac1d\uccb4\ub97c \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uac10\uc9c0\ud560 \uc218 \uc788\ub294 \ub2a5\ub825\uc744 \uac16\ucd94\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubaa8\ub378\uc744 \uc704\ud574 Darknet<\/code>\uc774\ub77c\ub294 \uc624\ud508\uc18c\uc2a4 \ud504\ub808\uc784\uc6cc\ud06c\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. YOLO v3 \ubaa8\ub378\uc744 \uc124\uce58\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e8\uacc4\ub97c \ub530\ub77c\uc57c \ud569\ub2c8\ub2e4.<\/p>\n

2.1.1 \ud658\uacbd \uc124\uc815<\/h4>\n

\uc6b0\ub9ac\ub294 darknet<\/code> \ud504\ub808\uc784\uc6cc\ud06c\ub97c \uc124\uce58\ud558\uc5ec YOLO v3\ub97c \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4. \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub85c \uc124\uce58\ud569\ub2c8\ub2e4:<\/p>\n

git clone https:\/\/github.com\/AlexeyAB\/darknet.git \ncd darknet \nmake<\/code><\/pre>\n
2.1.2 \uc0ac\uc804 \ud559\uc2b5\ub41c \ubaa8\ub378 \ub2e4\uc6b4\ub85c\ub4dc<\/h4>\n
YOLO v3\uc5d0\uc11c \uc0ac\uc804 \ud559\uc2b5\ub41c \uac00\uc911\uce58\ub97c \ub2e4\uc6b4\ub85c\ub4dc\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc804\uc774 \ud559\uc2b5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
wget https:\/\/pjreddie.com\/media\/files\/yolov3.weights<\/code><\/pre>\n
3. \ucee4\uc2a4\ud140 \ub370\uc774\ud130\uc14b \uad6c\ucd95<\/h2>\n
\ucee4\uc2a4\ud140 \uac1d\uccb4 \uac80\ucd9c \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc6b0\uc120 \uac80\ucd9c\ud558\uace0\uc790 \ud558\ub294 \uac1d\uccb4\uc758 \uc774\ubbf8\uc9c0\uc640 \uadf8\uc5d0 \ub300\ud55c \ub77c\ubca8\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\ub85c \ucee4\uc2a4\ud140 \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud558\ub294 \ubc29\ubc95\uc744 \uc18c\uac1c\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
3.1 \ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \ub77c\ubca8\ub9c1<\/h3>\n
\ud655\uc778\ud558\uace0\uc790 \ud558\ub294 \ud2b9\uc815 \ud074\ub798\uc2a4\uc758 \uc774\ubbf8\uc9c0\ub97c \uc218\uc9d1\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, ‘\uace0\uc591\uc774’\uc640 ‘\uac15\uc544\uc9c0’\ub97c \uac80\ucd9c\ud558\uace0 \uc2f6\ub2e4\uba74, \ud574\ub2f9 \uc774\ubbf8\uc9c0\ub97c \uc218\uc9d1\ud55c \ud6c4 \ub77c\ubca8\ub9c1\uc744 \uc218\ud589\ud574\uc57c \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ub77c\ubca8\ub9c1 \ud234\ub85c\ub294 LabelImg<\/code>\uac00 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub85c \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
git clone https:\/\/github.com\/tzutalin\/labelImg.git \ncd labelImg \npip install -r requirements\/requirements-linux-python3.txt \nmake qt5py3<\/code><\/pre>\n
3.2 \ub370\uc774\ud130\uc14b \uad6c\uc870\ud654<\/h3>\n
\ub77c\ubca8\ub9c1\uc774 \uc644\ub8cc\ub41c \ud6c4, YOLO\uac00 \uc694\uad6c\ud558\ub294 \ud615\ud0dc\ub85c \ub370\uc774\ud130\uc14b\uc744 \uad6c\uc131\ud574\uc57c \ud569\ub2c8\ub2e4. \uad6c\uc870\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
dataset\/\n    \u251c\u2500\u2500 images\/\n    \u2502   \u251c\u2500\u2500 image1.jpg\n    \u2502   \u251c\u2500\u2500 image2.jpg\n    \u2502   \u2514\u2500\u2500 ...\n    \u2514\u2500\u2500 labels\/\n        \u251c\u2500\u2500 image1.txt\n        \u251c\u2500\u2500 image2.txt\n        \u2514\u2500\u2500 ...<\/code><\/pre>\n
4. YOLO \uad6c\uc131 \ud30c\uc77c \uc218\uc815<\/h2>\n
YOLO \ubaa8\ub378\uc758 \ud559\uc2b5\uc744 \uc704\ud574\uc11c\ub294 \uba87 \uac00\uc9c0 \uad6c\uc131 \ud30c\uc77c\uc744 \uc218\uc815\ud574\uc57c \ud569\ub2c8\ub2e4:<\/p>\n
4.1 .cfg \ud30c\uc77c \uc218\uc815<\/h3>\n
YOLO v3\uc758 .cfg \ud30c\uc77c\uc744 \uc5f4\uace0 \ud074\ub798\uc2a4 \uc218\uc640 \ud544\ud130\ub97c \uc218\uc815\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc6b0\ub9ac\uac00 ‘\uace0\uc591\uc774’\uc640 ‘\uac15\uc544\uc9c0’ \ub450 \ud074\ub798\uc2a4\ub97c \uac80\ucd9c\ud560 \uacbd\uc6b0, yolo<\/code> \ub808\uc774\uc5b4\uc758 \ud544\ud130 \uc218\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uc124\uc815\ud574\uc57c \ud569\ub2c8\ub2e4:<\/p>\n
[yolo]\n    ...\n    filters=18  ; (classes + 5) * 3 (\uace0\uc591\uc774 + \uac15\uc544\uc9c0 2) \n    classes=2<\/code><\/pre>\n
4.2 .data \ud30c\uc77c \uc0dd\uc131<\/h3>\n
\ub2e4\uc74c\uc73c\ub85c, YOLO \ubaa8\ub378\uc774 \uc0ac\uc6a9\ud560 \ub370\uc774\ud130\uc14b\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \ub2f4\uace0 \uc788\ub294 .data \ud30c\uc77c\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4:<\/p>\n
classes= 2\n    train  = data\/train.txt\n    valid  = data\/valid.txt\n    names = data\/obj.names\n    backup = backup\/<\/code><\/pre>\n
4.3 \uac1d\uccb4 \uc774\ub984 \ud30c\uc77c \uc0dd\uc131<\/h3>\n
\uac80\ucd9c\ud558\uace0\uc790 \ud558\ub294 \uac1d\uccb4\uc758 \uc774\ub984\uc744 \ub2f4\uace0 \uc788\ub294 obj.names<\/code> \ud30c\uc77c\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/p>\n
\uace0\uc591\uc774\n    \uac15\uc544\uc9c0<\/code><\/pre>\n
5. \ubaa8\ub378 \ud559\uc2b5<\/h2>\n
\ubaa8\ub4e0 \uc900\ube44\uac00 \uc644\ub8cc\ub418\uc5c8\uc73c\ubbc0\ub85c \uc774\uc81c \ubaa8\ub378\uc744 \ud559\uc2b5\ud560 \ucc28\ub840\uc785\ub2c8\ub2e4. YOLO\ub294 \uba85\ub839\uc5b4\ub97c \ud1b5\ud574 \uc27d\uac8c \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc758 \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4:<\/p>\n
.\/darknet detector train data\/obj.data cfg\/yolov3_custom.cfg yolov3.weights<\/code><\/pre>\n
6. \uac80\uc99d \ubc0f \ud14c\uc2a4\ud2b8<\/h2>\n
\ubaa8\ub378 \ud559\uc2b5 \ud6c4, \ucd5c\uc885\uc801\uc778 \uc131\ub2a5 \ud3c9\uac00\ub97c \uc704\ud574 \uac80\uc99d \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \ud559\uc2b5\uc774 \ub05d\ub09c \ubaa8\ub378\uc740 \ub2e4\uc74c \uba85\ub839\uc5b4\ub85c \ud14c\uc2a4\ud2b8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
.\/darknet detector test data\/obj.data cfg\/yolov3_custom.cfg backup\/yolov3_custom_final.weights data\/test.jpg<\/code><\/pre>\n
7. \uacb0\uacfc \ubd84\uc11d<\/h2>\n
\ucd5c\uc885\uc801\uc73c\ub85c \uc5bb\uc5b4\uc9c4 \uac80\ucd9c \uacb0\uacfc\ub97c \uae30\uc900\uc73c\ub85c \uc815\ud655\ub3c4 \ubc0f \uc131\ub2a5\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc131\ub2a5 \uc9c0\ud45c\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ube44\uad50\ud558\uace0 \ubd84\uc11d\ud569\ub2c8\ub2e4. \ub610\ud55c \ub2e4\uc591\ud55c \uc2dc\ub098\ub9ac\uc624\ub97c \uc2dc\ubbac\ub808\uc774\uc158\ud558\uc5ec \ud5a5\ud6c4 \uac1c\uc120\ud574\uc57c \ud560 \uc0ac\ud56d\uc744 \ub3c4\ucd9c\ud569\ub2c8\ub2e4.<\/p>\n
8. \uacb0\ub860<\/h2>\n
YOLO \ubaa8\ub378\uc740 \uac1d\uccb4 \uac80\ucd9c \ubd84\uc57c\uc5d0\uc11c \uac15\ub825\ud55c \uc131\ub2a5\uc744 \ubc1c\ud718\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \uc804\uc774 \ud559\uc2b5\uc744 \ud65c\uc6a9\ud558\uc5ec \uc801\uc740 \ub370\uc774\ud130\ub85c\ub3c4 \ud6a8\uacfc\uc801\uc778 \ud559\uc2b5\uc744 \uc9c4\ud589\ud560 \uc218 \uc788\uace0, \ud074\ub798\uc2a4\uc758 \ucd94\uac00 \ubc0f \uc81c\uac70\ub97c \ud1b5\ud574 \ub2e4\uc591\ud55c \uc751\uc6a9\ubd84\uc57c\uc5d0 \ub9de\uac8c \ucee4\uc2a4\ud140 \ubaa8\ub378\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc744 \ud1b5\ud574 \ub3c5\uc790\ub4e4\uc774 YOLO \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uc790\uc2e0\ub9cc\uc758 \uac1d\uccb4 \uac80\ucd9c \ubaa8\ub378\uc744 \uc190\uc27d\uac8c \ub9cc\ub4e4 \uc218 \uc788\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
\ucc38\uace0\uc790\ub8cc<\/h2>\n
YOLO \ubc0f \uc804\uc774 \ud559\uc2b5 \uad00\ub828 \uc790\ub8cc:<\/p>\n