{"id":38854,"date":"2024-11-02T01:39:35","date_gmt":"2024-11-02T01:39:35","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=38854"},"modified":"2024-11-26T06:43:10","modified_gmt":"2024-11-26T06:43:10","slug":"yolo%eb%a5%bc-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%8b%a4%ec%8b%9c%ea%b0%84-%ea%b0%9d%ec%b2%b4-%ea%b2%80%ec%b6%9c-%ec%95%a0%ed%94%8c%eb%a6%ac%ec%bc%80%ec%9d%b4%ec%85%98-%ea%b5%ac%ec%b6%95-%ec%9b%b9","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/38854\/","title":{"rendered":"YOLO\ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uad6c\ucd95, \uc6f9\ucea0 \ub610\ub294 CCTV\uc640 \uc5f0\ub3d9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1 \uc2dc\uc2a4\ud15c \uad6c\ucd95"},"content":{"rendered":"<p><body><\/p>\n<article>\n<h2>1. \uc11c\ub860<\/h2>\n<p>\n            YOLO(You Only Look Once)\ub294 \uac1d\uccb4 \uac80\ucd9c \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub525\ub7ec\ub2dd \uae30\ubc18\uc758 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4.<br \/>\n            \uc774 \uae30\uc220\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \uac10\uc9c0\ud558\ub294 \ub2a5\ub825\uc744 \uac00\uc9c0\uace0 \uc788\uc5b4 \ub2e4\uc591\ud55c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4.<br \/>\n            \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c \ud65c\uc6a9\ud558\uc5ec \uc6f9\ucea0\uc774\ub098 CCTV\uc640 \uc5f0\ub3d9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n        <\/p>\n<h2>2. YOLO\ub780 \ubb34\uc5c7\uc778\uac00?<\/h2>\n<p>\n            YOLO\ub294 \uc774\ubbf8\uc9c0 \uc804\uccb4\ub97c \ud55c \ubc88\uc5d0 \ucc98\ub9ac\ud558\uc5ec \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c, \uc9e7\uc740 \uc2dc\uac04 \ub0b4\uc5d0 \ub192\uc740 \uc815\ud655\ub3c4\ub85c \uac1d\uccb4\ub97c \uc778\uc2dd\ud569\ub2c8\ub2e4.<br \/>\n            \uc774\ub294 \uae30\uc874\uc758 \ubc29\ubc95\uacfc\ub294 \ub2ec\ub9ac \uc804\uccb4 \uc774\ubbf8\uc9c0\ub97c \ud558\ub098\uc758 \ub124\ud2b8\uc6cc\ud06c\uc5d0\uc11c \ucc98\ub9ac\ud558\uae30 \ub54c\ubb38\uc5d0 \ub9e4\uc6b0 \ud6a8\uc728\uc801\uc785\ub2c8\ub2e4.<br \/>\n            YOLO\uc758 \uc7a5\uc810\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:\n        <\/p>\n<ul>\n<li>\uc2e4\uc2dc\uac04 \uc18d\ub3c4: \ub192\uc740 FPS(Frames Per Second)\uc5d0\uc11c \uc791\ub3d9 \uac00\ub2a5<\/li>\n<li>\uac04\ub2e8\ud55c \uad6c\uc870: \ud55c\ubc88\uc758 Forward Pass\ub85c \uc5ec\ub7ec \uac1d\uccb4\ub97c \ub3d9\uc2dc\uc5d0 \uac80\ucd9c<\/li>\n<li>\ub192\uc740 \uc815\ud655\ub3c4: \ub2e4\uc591\ud55c \uac1d\uccb4\ub97c \uc778\uc2dd\ud558\ub294 \ub370 \ud6a8\uacfc\uc801<\/li>\n<\/ul>\n<h2>3. YOLO \ubaa8\ub378 \ub2e4\uc6b4\ub85c\ub4dc<\/h2>\n<p>\n            YOLO\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \uba3c\uc800 \ubaa8\ub378 \ud30c\uc77c\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud574\uc57c \ud569\ub2c8\ub2e4.<br \/>\n            YOLO\ub294 \uc5ec\ub7ec \ubc84\uc804\uc774 \uc874\uc7ac\ud558\uc9c0\ub9cc, \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLOv3 \ub610\ub294 YOLOv4\ub97c \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4.<br \/>\n            GitHub\uc5d0\uc11c YOLO \ubaa8\ub378\uacfc \uac00\uc911\uce58 \ud30c\uc77c\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n        <\/p>\n<pre><code>git clone https:\/\/github.com\/AlexeyAB\/darknet.git\ncd darknet\nwget https:\/\/pjreddie.com\/media\/files\/yolov3.weights<\/code><\/pre>\n<h2>4. YOLO \ud658\uacbd \uc124\uc815<\/h2>\n<p>\n            YOLO\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 Python\uacfc OpenCV, Numpy \ub4f1\uc758 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58\uac00 \ud544\uc694\ud569\ub2c8\ub2e4.<br \/>\n            Python\uc758 \ud328\ud0a4\uc9c0 \uad00\ub9ac\uc790\uc778 pip\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac04\ub2e8\ud788 \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<br \/>\n            \ub2e4\uc74c \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud558\uc138\uc694.\n        <\/p>\n<pre><code>pip install opencv-python numpy<\/code><\/pre>\n<h2>5. YOLO \ubaa8\ub378 \ub85c\ub4dc \ubc0f \ucd08\uae30\ud654<\/h2>\n<p>\n            YOLO \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub124\ud2b8\uc6cc\ud06c \uad6c\uc870\uc640 \uac00\uc911\uce58 \ud30c\uc77c\uc744 \ub85c\ub4dc\ud574\uc57c \ud569\ub2c8\ub2e4.<br \/>\n            \uc544\ub798\ub294 YOLO\ub97c \ucd08\uae30\ud654\ud558\ub294 \ud30c\uc774\uc36c \ucf54\ub4dc\uc785\ub2c8\ub2e4.\n        <\/p>\n<pre><code>import cv2\nimport numpy as np\n\n# \ud074\ub798\uc2a4 \uc774\ub984 \ub85c\ub4dc\nclasses = []\nwith open(\"coco.names\", \"r\") as f:\n    classes = [line.strip() for line in f.readlines()]\n\n# YOLO \ubaa8\ub378 \ub85c\ub4dc\nnet = cv2.dnn.readNet(\"yolov3.weights\", \"yolov3.cfg\")\n<\/code><\/pre>\n<h2>6. \uc6f9\ucea0 \ub610\ub294 CCTV \uc5f0\uacb0<\/h2>\n<p>\n            OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc6f9\ucea0\uc774\ub098 CCTV \uc5f0\uacb0\uc744 \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<br \/>\n            \uc544\ub798 \ucf54\ub4dc\ub294 \uc6f9\ucea0\uc5d0\uc11c \ube44\ub514\uc624 \uc2a4\ud2b8\ub9bc\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n        <\/p>\n<pre><code>cap = cv2.VideoCapture(0)  # \uc6f9\ucea0 \uc5f0\uacb0\n\nwhile True:\n    ret, frame = cap.read()\n    if not ret:\n        break\n    # \uc601\uc0c1 \ucc98\ub9ac \ubc0f YOLO \uac80\ucd9c \ucf54\ub4dc\n    cv2.imshow(\"Webcam\", frame)\n\n    if cv2.waitKey(1) &amp; 0xFF == ord('q'):\n        break\n\ncap.release()\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<h2>7. YOLO\ub85c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30<\/h2>\n<p>\n            \ube44\ub514\uc624 \uc2a4\ud2b8\ub9bc\uc744 \uac00\uc838\uc628 \ud6c4 YOLO\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac1d\uccb4\ub97c \uac80\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<br \/>\n            \ub2e4\uc74c \ucf54\ub4dc\ub294 \ube44\ub514\uc624 \ud504\ub808\uc784\uc5d0\uc11c \uac1d\uccb4\ub97c \uac10\uc9c0\ud558\uace0 \uacb0\uacfc\ub97c \ud654\uba74\uc5d0 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n        <\/p>\n<pre><code>while True:\n    ret, frame = cap.read()\n    if not ret:\n        break\n\n    height, width, _ = frame.shape\n    blob = cv2.dnn.blobFromImage(frame, 0.00392, (416, 416), (0, 0, 0), swapRB=True, crop=False)\n    net.setInput(blob)\n\n    out_layers = net.getUnconnectedOutLayersNames()\n    detections = net.forward(out_layers)\n\n    for detection in detections:\n        for obj in detection:\n            scores = obj[5:]\n            class_id = np.argmax(scores)\n            confidence = scores[class_id]\n            \n            if confidence &gt; 0.5:  # \uc2e0\ub8b0\ub3c4 \uae30\uc900\n                center_x = int(obj[0] * width)\n                center_y = int(obj[1] * height)\n                w = int(obj[2] * width)\n                h = int(obj[3] * height)\n\n                # \ubc14\uc6b4\ub529 \ubc15\uc2a4 \uadf8\ub9ac\uae30\n                x = int(center_x - w \/ 2)\n                y = int(center_y - h \/ 2)\n                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)\n                cv2.putText(frame, f\"{classes[class_id]}: {confidence:.2f}\", (x, y - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)\n\n    cv2.imshow(\"YOLO Object Detection\", frame)\n\n    if cv2.waitKey(1) &amp; 0xFF == ord('q'):\n        break\n\ncap.release()\ncv2.destroyAllWindows()\n<\/code><\/pre>\n<h2>8. \uacb0\ub860<\/h2>\n<p>\n            \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4.<br \/>\n            YOLO\uc758 \ud6a8\uc728\uc131\uacfc \uc815\ud655\ub3c4\ub97c \ud65c\uc6a9\ud558\uc5ec \uc6f9\ucea0 \ubc0f CCTV\uc640 \uc5f0\ub3d9\ud55c \ub2e4\uc591\ud55c \ubaa8\ub2c8\ud130\ub9c1 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<br \/>\n            \uc774 \uae30\uc220\uc744 \ubc14\ud0d5\uc73c\ub85c \ub354 \ub9ce\uc740 \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc744 \uac1c\ubc1c\ud574 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n        <\/p>\n<h2>9. \ucc38\uace0 \uc790\ub8cc<\/h2>\n<ul>\n<li><a href=\"https:\/\/pjreddie.com\/darknet\/yolo\/\">YOLO \uacf5\uc2dd \ud398\uc774\uc9c0<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/AlexeyAB\/darknet\">YOLO GitHub Repository<\/a><\/li>\n<li><a href=\"https:\/\/opencv.org\/\">OpenCV \uacf5\uc2dd \ud648\ud398\uc774\uc9c0<\/a><\/li>\n<\/ul>\n<\/article>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>1. \uc11c\ub860 YOLO(You Only Look Once)\ub294 \uac1d\uccb4 \uac80\ucd9c \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub525\ub7ec\ub2dd \uae30\ubc18\uc758 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. \uc774 \uae30\uc220\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \uac10\uc9c0\ud558\ub294 \ub2a5\ub825\uc744 \uac00\uc9c0\uace0 \uc788\uc5b4 \ub2e4\uc591\ud55c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c \ud65c\uc6a9\ud558\uc5ec \uc6f9\ucea0\uc774\ub098 CCTV\uc640 \uc5f0\ub3d9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 2. YOLO\ub780 \ubb34\uc5c7\uc778\uac00? YOLO\ub294 \uc774\ubbf8\uc9c0 \uc804\uccb4\ub97c \ud55c \ubc88\uc5d0 \ucc98\ub9ac\ud558\uc5ec \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c, \uc9e7\uc740 \uc2dc\uac04 \ub0b4\uc5d0 \ub192\uc740 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/38854\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;YOLO\ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uad6c\ucd95, \uc6f9\ucea0 \ub610\ub294 CCTV\uc640 \uc5f0\ub3d9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1 \uc2dc\uc2a4\ud15c \uad6c\ucd95&#8221;<\/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-38854","post","type-post","status-publish","format-standard","hentry","category-yolo"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>YOLO\ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uad6c\ucd95, \uc6f9\ucea0 \ub610\ub294 CCTV\uc640 \uc5f0\ub3d9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1 \uc2dc\uc2a4\ud15c \uad6c\ucd95 - \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\/38854\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"YOLO\ub97c \uc774\uc6a9\ud55c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uad6c\ucd95, \uc6f9\ucea0 \ub610\ub294 CCTV\uc640 \uc5f0\ub3d9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1 \uc2dc\uc2a4\ud15c \uad6c\ucd95 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"1. \uc11c\ub860 YOLO(You Only Look Once)\ub294 \uac1d\uccb4 \uac80\ucd9c \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub525\ub7ec\ub2dd \uae30\ubc18\uc758 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. \uc774 \uae30\uc220\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \uac10\uc9c0\ud558\ub294 \ub2a5\ub825\uc744 \uac00\uc9c0\uace0 \uc788\uc5b4 \ub2e4\uc591\ud55c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO\ub97c \ud65c\uc6a9\ud558\uc5ec \uc6f9\ucea0\uc774\ub098 CCTV\uc640 \uc5f0\ub3d9\ud55c \uc2e4\uc2dc\uac04 \ubaa8\ub2c8\ud130\ub9c1 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 2. YOLO\ub780 \ubb34\uc5c7\uc778\uac00? 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