YOLO \uc124\uce58 \ubc0f \uc124\uc815, YOLO \uc124\uce58 \ubc29\ubc95 (PyTorch, TensorFlow, Darknet \ub4f1 \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95) - \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\/38901\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"YOLO \uc124\uce58 \ubc0f \uc124\uc815, YOLO \uc124\uce58 \ubc29\ubc95 (PyTorch, TensorFlow, Darknet \ub4f1 \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"YOLO(You Only Look Once)\ub294 \uc2e4\uc2dc\uac04 \uac1d\uccb4 \ud0d0\uc9c0 \uc54c\uace0\ub9ac\uc998 \uc911 \ud558\ub098\ub85c, \uace0\uc18d \ucc98\ub9ac \uc18d\ub3c4\uc640 \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uc720\uba85\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c (PyTorch, TensorFlow, Darknet \ub4f1)\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. 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{"id":38901,"date":"2024-11-02T01:39:54","date_gmt":"2024-11-02T01:39:54","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38901"},"modified":"2024-11-26T06:43:01","modified_gmt":"2024-11-26T06:43:01","slug":"yolo-%ec%84%a4%ec%b9%98-%eb%b0%8f-%ec%84%a4%ec%a0%95-yolo-%ec%84%a4%ec%b9%98-%eb%b0%a9%eb%b2%95-pytorch-tensorflow-darknet-%eb%93%b1-%eb%8b%a4%ec%96%91%ed%95%9c-%ed%94%84%eb%a0%88%ec%9e%84","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38901\/","title":{"rendered":"YOLO \uc124\uce58 \ubc0f \uc124\uc815, YOLO \uc124\uce58 \ubc29\ubc95 (PyTorch, TensorFlow, Darknet \ub4f1 \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95)"},"content":{"rendered":"

<\/p>\n

YOLO(You Only Look Once)\ub294 \uc2e4\uc2dc\uac04 \uac1d\uccb4 \ud0d0\uc9c0 \uc54c\uace0\ub9ac\uc998 \uc911 \ud558\ub098\ub85c, \uace0\uc18d \ucc98\ub9ac \uc18d\ub3c4\uc640 \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uc720\uba85\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c (PyTorch, TensorFlow, Darknet \ub4f1)\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. YOLO \uac1c\uc694<\/h2>\n
YOLO\ub294 \ub2e8\uc77c \uc2e0\uacbd\ub9dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uaca9\uc790(grid)\ub85c \ub098\ub204\uace0, \uac01 \uaca9\uc790\uc5d0\uc11c \uac1d\uccb4\ub97c \uc608\uce21\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc811\uadfc \ubc29\uc2dd\uc740 YOLO\uac00 \uc2e4\uc2dc\uac04 \uac1d\uccb4 \ud0d0\uc9c0\uc5d0 \ud6a8\uacfc\uc801\uc77c \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4. \ub610\ud55c YOLO\ub294 \ub2e4\uc591\ud55c \ubc84\uc804\uc744 \uc81c\uacf5\ud558\uba70, \uac01 \ubc84\uc804\uc740 \ud2b9\uc815 \uc6a9\ub3c4\uc5d0 \ucd5c\uc801\ud654\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

2. YOLO \uc124\uce58 \uc804 \uc900\ube44 \uc0ac\ud56d<\/h2>\n

\uc124\uce58\ub97c \uc2dc\uc791\ud558\uae30 \uc804\uc5d0, YOLO\ub97c \uc2e4\ud589\ud560 \uc2dc\uc2a4\ud15c\uacfc \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0 \ub300\ud55c \uc900\ube44\uac00 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n

\uc6b4\uc601 \uccb4\uc81c: Linux \ub610\ub294 Windows (Linux \ucd94\ucc9c)<\/li>\n
Python: 3.6 \uc774\uc0c1<\/li>\n

CUDA \ubc0f cuDNN (GPU \uac00\uc18d\uc744 \uc6d0\ud558\ub294 \uacbd\uc6b0)<\/li>\n<\/ul>\n

3. YOLO \uc124\uce58 \ubc29\ubc95<\/h2>\n

3.1. Darknet\uc5d0\uc11c YOLO \uc124\uce58<\/h3>\n

Darknet\uc740 YOLO\uc758 \uacf5\uc2dd \ud504\ub808\uc784\uc6cc\ud06c\uc785\ub2c8\ub2e4. \uc124\uce58\uac00 \uac04\ub2e8\ud558\uace0 \uc18d\ub3c4\uac00 \ube60\ub985\ub2c8\ub2e4. \uc544\ub798\uc758 \ub2e8\uacc4\ub97c \ub530\ub77c Darknet\uc744 \uc124\uce58\ud569\ub2c8\ub2e4.<\/p>\n

git clone https:\/\/github.com\/AlexeyAB\/darknet.git\ncd darknet\nmake\n<\/code><\/pre>\n\uc774\ud6c4 YOLOv4 \ubaa8\ub378\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud558\ub824\uba74 \ub2e4\uc74c \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc138\uc694.<\/p>\n
wget https:\/\/github.com\/AlexeyAB\/darknet\/releases\/download\/yolov4\/yolov4.weights\n<\/code><\/pre>\n\uc774\uc81c Darknet\uc744 \uc2e4\ud589\ud558\uc5ec YOLO\ub97c \uc2e4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
.\/darknet detect cfg\/yolov4.cfg yolov4.weights data\/dog.jpg\n<\/code><\/pre>\n3.2. PyTorch\uc5d0\uc11c YOLO \uc124\uce58<\/h3>\nPyTorch\ub294 \uba38\uc2e0 \ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c \uc911 \ud558\ub098\ub85c, YOLO\ub97c \uc0ac\uc6a9\ud558\ub294 \ub370 \ub9e4\uc6b0 \uc778\uae30\uac00 \ub9ce\uc2b5\ub2c8\ub2e4. PyTorch\uc5d0\uc11c YOLO\ub97c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
git clone https:\/\/github.com\/ultralytics\/yolov5.git\ncd yolov5\npip install -r requirements.txt\n<\/code><\/pre>\nYOLOv5 \ubaa8\ub378\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud558\ub824\uba74 \ub2e4\uc74c \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc138\uc694.<\/p>\n
python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data\/images\n<\/code><\/pre>\n3.3. TensorFlow\uc5d0\uc11c YOLO \uc124\uce58<\/h3>\nTensorFlow\uc5d0\uc11c YOLO\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 TensorFlow\uc6a9 YOLO \uad6c\ud604\uccb4\ub97c \ud074\ub860\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n
git clone https:\/\/github.com\/hungtcs\/yolov3-tf2.git\ncd yolov3-tf2\npip install -r requirements.txt\n<\/code><\/pre>\nYOLO \ubaa8\ub378\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uace0 \ud14c\uc2a4\ud2b8\ud558\ub824\uba74 \uc544\ub798 \uba85\ub839\uc5b4\ub97c \uc2e4\ud589\ud558\uc138\uc694.<\/p>\n
python predict.py --image_file data\/images\/image.jpg --output_file output.jpg\n<\/code><\/pre>\n3.4. YOLO \uc124\uce58 \ubb38\uc81c \ud574\uacb0<\/h3>\n\uc124\uce58 \uacfc\uc815\uc5d0\uc11c \ubb38\uc81c\uac00 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ubc1c\uc0dd\ud558\ub294 \uc624\ub958\uc640 \ud574\uacb0 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n
\nCUDA \uc624\ub958:<\/strong> CUDA\uac00 \uc81c\ub300\ub85c \uc124\uce58\ub418\uc5c8\ub294\uc9c0 \ud655\uc778\ud558\uace0, GPU \ub4dc\ub77c\uc774\ubc84\ub97c \ucd5c\uc2e0 \ubc84\uc804\uc73c\ub85c \uc5c5\ub370\uc774\ud2b8\ud558\uc138\uc694.<\/li>\n
\uc758\uc874\uc131 \uc624\ub958:<\/strong> \uac01 \ud504\ub808\uc784\uc6cc\ud06c\uc758 \uc694\uad6c \uc0ac\ud56d\uc744 \ucda9\uc871\ud558\ub294\uc9c0 \ud655\uc778\ud558\uace0, \ud544\uc694 \ud328\ud0a4\uc9c0\ub97c \ubaa8\ub450 \uc124\uce58\ud558\uc138\uc694.<\/li>\n<\/ul>\n4. YOLO \uc124\uc815<\/h2>\n\uc124\uce58\ud55c \ud6c4, \uac01 \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c YOLO\ub97c \uc124\uc815\ud558\uace0 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \uba87 \uac00\uc9c0 \uc124\uc815\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
4.1. Darknet \uc124\uc815<\/h3>\nDarknet\uc758 \uacbd\uc6b0, cfg\/yolov4.cfg<\/code> \ud30c\uc77c\uc744 \uc218\uc815\ud558\uc5ec \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud559\uc2b5\ub960(learning rate), \ubc30\uce58 \ud06c\uae30(batch size) \ub4f1\uc744 \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
4.2. PyTorch \uc124\uc815<\/h3>\nPyTorch\uc5d0\uc11c\ub294 \ubaa8\ub378 \ud559\uc2b5\uc744 \uc704\ud55c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\uc640 \ucee4\uc2a4\ud140 \ub370\uc774\ud130\uc14b\uc73c\ub85c\uc758 \ubcc0\ud658\uc744 \uc704\ud55c Config \ud30c\uc77c\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n
4.3. TensorFlow \uc124\uc815<\/h3>\nTensorFlow\uc5d0\uc11c\ub294 config.py<\/code> \ud30c\uc77c\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \ubaa8\ub378 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \uc218\uc815\ud558\uace0, \uc804\ucc98\ub9ac \uc870\uac74\uc744 \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
5. YOLO \uc0ac\uc6a9 \uc608\uc81c<\/h2>\nYOLO\ub97c \uc124\uce58\ud558\uace0 \uc124\uc815\ud55c \ud6c4, \uc2e4\uc81c\ub85c \uac1d\uccb4 \ud0d0\uc9c0\ub97c \uc218\ud589\ud558\ub294 \uac04\ub2e8\ud55c \uc608\uc81c\ub97c \uc18c\uac1c\ud569\ub2c8\ub2e4.<\/p>\n
# PyTorch YOLOv5 \uc0ac\uc6a9 \uc608\uc81c\n\nimport torch\n\n# \ubaa8\ub378 \ub85c\ub4dc\nmodel = torch.hub.load('ultralytics\/yolov5:v5.0', 'yolov5s')\n\n# \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4 \ud0d0\uc9c0\nresults = model('data\/images\/image.jpg')\n\n# \uacb0\uacfc \ucd9c\ub825\nresults.show()\n<\/code><\/pre>\n6. \uacb0\ub860<\/h2>\n\ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c Darknet, PyTorch, TensorFlow\uc5d0\uc11c \uc124\uce58\ud558\uace0 \uc124\uc815\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c YOLO\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc2dc\uac04 \uac1d\uccb4 \ud0d0\uc9c0 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \ud504\ub808\uc784\uc6cc\ud06c\ub9c8\ub2e4 \uc124\uce58 \ubc29\ubc95\uacfc \uc124\uc815\uc774 \ub2e4\ub974\ubbc0\ub85c, \ud544\uc694\uc5d0 \ub530\ub77c \uc801\uc808\ud55c \ubc29\ubc95\uc744 \uc120\ud0dd\ud558\uc5ec \uc0ac\uc6a9\ud558\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
7. \ucd94\uac00 \uc790\ub8cc<\/h2>\n\nDarknet YOLO \uacf5\uc2dd \ubb38\uc11c<\/a><\/li>\n
YOLOv5 GitHub \ub808\ud3ec\uc9c0\ud1a0\ub9ac<\/a><\/li>\n
TensorFlow \uac1d\uccb4 \ud0d0\uc9c0 API \ubb38\uc11c<\/a><\/li>\n<\/ul>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"YOLO(You Only Look Once)\ub294 \uc2e4\uc2dc\uac04 \uac1d\uccb4 \ud0d0\uc9c0 \uc54c\uace0\ub9ac\uc998 \uc911 \ud558\ub098\ub85c, \uace0\uc18d \ucc98\ub9ac \uc18d\ub3c4\uc640 \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uc720\uba85\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c (PyTorch, TensorFlow, Darknet \ub4f1)\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. YOLO \uac1c\uc694 YOLO\ub294 \ub2e8\uc77c \uc2e0\uacbd\ub9dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uaca9\uc790(grid)\ub85c \ub098\ub204\uace0, \uac01 \uaca9\uc790\uc5d0\uc11c \uac1d\uccb4\ub97c \uc608\uce21\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc811\uadfc \ubc29\uc2dd\uc740 YOLO\uac00 \uc2e4\uc2dc\uac04 \uac1d\uccb4 \ud0d0\uc9c0\uc5d0 \ud6a8\uacfc\uc801\uc77c \uc218 … \ub354 \ubcf4\uae30 “YOLO \uc124\uce58 \ubc0f \uc124\uc815, YOLO \uc124\uce58 \ubc29\ubc95 (PyTorch, TensorFlow, Darknet \ub4f1 \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95)”<\/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":[189],"tags":[],"class_list":["post-38901","post","type-post","status-publish","format-standard","hentry","category-yolo"],"yoast_head":"\nYOLO \uc124\uce58 \ubc0f \uc124\uc815, YOLO \uc124\uce58 \ubc29\ubc95 (PyTorch, TensorFlow, Darknet \ub4f1 \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95) - \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\/38901\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"YOLO \uc124\uce58 \ubc0f \uc124\uc815, YOLO \uc124\uce58 \ubc29\ubc95 (PyTorch, TensorFlow, Darknet \ub4f1 \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"YOLO(You Only Look Once)\ub294 \uc2e4\uc2dc\uac04 \uac1d\uccb4 \ud0d0\uc9c0 \uc54c\uace0\ub9ac\uc998 \uc911 \ud558\ub098\ub85c, \uace0\uc18d \ucc98\ub9ac \uc18d\ub3c4\uc640 \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uc720\uba85\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c (PyTorch, TensorFlow, Darknet \ub4f1)\uc5d0\uc11c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. 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