\uac1d\uccb4 \uac80\ucd9c(Object Detection)\uc740 \uc774\ubbf8\uc9c0\ub098 \ube44\ub514\uc624\uc758 \uac1d\uccb4\ub97c \uc2dd\ubcc4\ud558\uace0 \uadf8 \uc704\uce58\ub97c \ucc3e\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc YOLO(You Only Look Once) \ubaa8\ub378\uc774 \uac1d\uccb4 \uac80\ucd9c \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \uc131\uacfc\ub97c \ubcf4\uc774\uba70 \ub110\ub9ac \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO \ubaa8\ub378\uc744 \uc774\uc6a9\ud55c \uac1d\uccb4 \ucd94\uc801\uacfc \ub2e4\uc911 \uac1d\uccb4 \uac80\ucd9c \ubc29\ubc95, \uadf8\ub9ac\uace0 SORT(Simple Online and Realtime Tracking) \uc54c\uace0\ub9ac\uc998\uacfc \uc5f0\ub3d9\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
YOLO\ub294 2016\ub144 Joseph Redmon\uc774 \ucc98\uc74c \uc81c\uc548\ud55c \uac1d\uccb4 \uac80\ucd9c \uc2dc\uc2a4\ud15c\uc73c\ub85c, \uc804\uccb4 \uc774\ubbf8\uc9c0\ub97c \ud55c \ubc88\uc5d0 \ucc98\ub9ac\ud558\uc5ec \uc18d\ub3c4\uc640 \uc815\ud655\uc131\uc758 \uade0\ud615\uc744 \uc774\ub8f9\ub2c8\ub2e4. YOLO\uc758 \uae30\ubcf8 \uc6d0\ub9ac\ub294 \uc774\ubbf8\uc9c0\ub97c \uadf8\ub9ac\ub4dc\ub85c \ub098\ub204\uace0 \uac01 \uadf8\ub9ac\ub4dc \uc140\uc5d0\uc11c \uac1d\uccb4\ub97c \uc608\uce21\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. YOLO\ub294 \ub2e4\uc591\ud55c \ubc84\uc804\uc774 \uc788\uc73c\uba70, YOLOv3, YOLOv4, YOLOv5 \ub4f1 \ucd5c\uc2e0 \ubc84\uc804\ub4e4\uc774 \ucd9c\uc2dc\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n
YOLO\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574 \uba3c\uc800 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ud328\ud0a4\uc9c0\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\ub294 Python \ud658\uacbd\uc5d0\uc11c YOLOv5\ub97c \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n
!git clone https:\/\/github.com\/ultralytics\/yolov5.git\n%cd yolov5\n!pip install -r requirements.txt<\/code><\/pre>\n3. YOLO \ubaa8\ub378\uc744 \uc774\uc6a9\ud55c \uac1d\uccb4 \uac80\ucd9c<\/h2>\n
\ub2e4\uc74c\uc73c\ub85c YOLO \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \ucf54\ub4dc\ub97c \uc791\uc131\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. YOLOv5 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uac80\ucd9c\ud558\uace0, \uac80\ucd9c\ub41c \uac1d\uccb4\ub97c \uc2dc\uac01\ud654\ud569\ub2c8\ub2e4.<\/p>\n
import torch\nfrom PIL import Image\nimport cv2\n\n# YOLOv5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30\nmodel = torch.hub.load('ultralytics\/yolov5:v5.0', 'yolov5s')\n\n# \uc774\ubbf8\uc9c0 \ub85c\ub4dc\nimg_path = 'path\/to\/your\/image.jpg'\nimg = Image.open(img_path)\n\n# \uac1d\uccb4 \uac80\ucd9c\nresults = model(img)\n\n# \uac80\ucd9c \uacb0\uacfc \uc2dc\uac01\ud654\nresults.show()<\/code><\/pre>\n\uc704 \ucf54\ub4dc\ub294 \ud2b9\uc815 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\uace0 \ud574\ub2f9 \uacb0\uacfc\ub97c \uc2dc\uac01\ud654\ud569\ub2c8\ub2e4. YOLOv5 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec ‘yolov5s’\ub77c\ub294 \uacbd\ub7c9 \ubaa8\ub378\uc744 \ub85c\ub4dc\ud558\uace0, \uc8fc\uc5b4\uc9c4 \uc774\ubbf8\uc9c0\ub97c \uae30\ubc18\uc73c\ub85c \uac1d\uccb4\ub97c \uac80\ucd9c\ud569\ub2c8\ub2e4.<\/p>\n
4. \ub2e4\uc911 \uac1d\uccb4 \uac80\ucd9c<\/h2>\n
YOLO\uc758 \uc7a5\uc810 \uc911 \ud558\ub098\ub294 \ub2e4\uc911 \uac1d\uccb4\ub97c \ub3d9\uc2dc\uc5d0 \uac80\ucd9c\ud560 \uc218 \uc788\ub294 \uac83\uc785\ub2c8\ub2e4. \ub2e4\uc74c \ucf54\ub4dc\uc5d0\uc11c\ub294 \ube44\ub514\uc624\uc5d0\uc11c \uc5ec\ub7ec \uac1d\uccb4\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \uac80\ucd9c\ud569\ub2c8\ub2e4.<\/p>\n
cap = cv2.VideoCapture('path\/to\/your\/video.mp4')\n\nwhile cap.isOpened():\n ret, frame = cap.read()\n if not ret:\n break\n\n # \uac1d\uccb4 \uac80\ucd9c\n results = model(frame)\n \n # \uacb0\uacfc\ub97c \uc774\ubbf8\uc9c0\ub85c \ubcc0\ud658\n img = results.render()\n\n # \uac80\ucd9c \uacb0\uacfc \ubcf4\uc5ec\uc8fc\uae30\n cv2.imshow('YOLO Object Detection', img[0])\n \n if cv2.waitKey(1) & 0xFF == ord('q'):\n break\n\ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n5. \uac1d\uccb4 \ucd94\uc801 \uc18c\uac1c: SORT (Simple Online and Realtime Tracking)<\/h2>\n
SORT\ub294 \uac1d\uccb4\uc758 \uc6c0\uc9c1\uc784\uc744 \ucd94\uc801\ud558\uae30 \uc704\ud55c \uac04\ub2e8\ud558\uace0 \uc2e4\uc2dc\uac04\uc73c\ub85c \ucc98\ub9ac \uac00\ub2a5\ud55c \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. SORT\ub294 Kalman Filter\uc640 Hungarian Algorithm\uc744 \uacb0\ud569\ud558\uc5ec \uc2e4\uc2dc\uac04\uc73c\ub85c \uac1d\uccb4\ub97c \ucd94\uc801\ud569\ub2c8\ub2e4. YOLO\uc640 \uacb0\ud569\uc2dc\ucf1c\uc11c \uac1d\uccb4\uc758 \uacbd\ub85c\ub97c \ucd94\uc801\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
6. YOLO\uc640 SORT \uc5f0\ub3d9\ud558\uae30<\/h2>\n
YOLO\ub85c \uac80\ucd9c\ud55c \uac1d\uccb4\ub97c SORT \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucd94\uc801\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub294 YOLO \ubaa8\ub378\uc5d0\uc11c \uac80\ucd9c\ud55c \uac1d\uccb4\ub97c SORT\ub97c \uc774\uc6a9\ud558\uc5ec \ucd94\uc801\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n
from sort import Sort\n\n# SORT \ud544\ud130 \ucd08\uae30\ud654\ntracker = Sort()\n\n# \ube44\ub514\uc624 \ucea1\ucc98\ncap = cv2.VideoCapture('path\/to\/your\/video.mp4')\n\nwhile cap.isOpened():\n ret, frame = cap.read()\n if not ret:\n break\n\n # \uac1d\uccb4 \uac80\ucd9c\n results = model(frame)\n \n # \uac80\ucd9c\ub41c \ubc15\uc2a4 \uac00\uc838\uc624\uae30\n detections = results.pandas().xyxy[0][['xmin', 'ymin', 'xmax', 'ymax', 'confidence', 'class']].to_numpy()\n\n # SORT\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac1d\uccb4 \ucd94\uc801\n trackers = tracker.update(detections)\n\n # \ucd94\uc801 \uacb0\uacfc\ub97c \uc2dc\uac01\ud654\n for d in trackers:\n x1, y1, x2, y2, track_id = int(d[0]), int(d[1]), int(d[2]), int(d[3]), int(d[4])\n cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n cv2.putText(frame, f'ID: {track_id}', (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2)\n\n cv2.imshow('YOLO and SORT Tracking', frame)\n \n if cv2.waitKey(1) & 0xFF == ord('q'):\n break\n\ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n\uc704 \ucf54\ub4dc\ub294 YOLO\ub85c \uac80\ucd9c\ub41c \uac1d\uccb4\uc758 \uacbd\uacc4 \uc0c1\uc790 \uc815\ubcf4\ub97c SORT\uc5d0 \uc804\ub2ec\ud558\uace0, \uac01\uac01\uc758 \uac1d\uccb4\ub97c \ucd94\uc801\ud569\ub2c8\ub2e4. \ucd94\uc801\ub41c \uac1d\uccb4\uc5d0\ub294 \uace0\uc720\ud55c ID\uac00 \ubd80\uc5ec\ub418\uba70, \ube44\ub514\uc624 \ud504\ub808\uc784\uc5d0 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/p>\n
7. \uc131\ub2a5 \uac1c\uc120 \ubc0f \ucd5c\uc801\ud654<\/h2>\n
YOLO\uc640 SORT\ub97c \uacb0\ud569\ud558\uc5ec \uac1d\uccb4 \ucd94\uc801 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud560 \ub54c \uba87 \uac00\uc9c0 \uc131\ub2a5 \uac1c\uc120 \uc804\ub7b5\uc744 \uace0\ub824\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- \ubaa8\ub378 \ucd5c\uc801\ud654:<\/strong> YOLO\uc758 \uacbd\ub7c9 \ubc84\uc804\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc88b\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, YOLOv5s \ub300\uc2e0 YOLOv5m \ub610\ub294 YOLOv5l\ub97c \uace0\ub824\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
- \ud504\ub808\uc784 \uc218 \uac10\uc18c:<\/strong> \ube44\ub514\uc624\uc758 \ud504\ub808\uc784 \uc218\ub97c \uc904\uc774\ub294 \uac83\ub3c4 \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, 2\ucd08\ub9c8\ub2e4 \ud558\ub098\uc758 \ud504\ub808\uc784\uc744 \ucc98\ub9ac\ud558\ub3c4\ub85d \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
- GPU \uac00\uc18d:<\/strong> \ucef4\ud4e8\ud130 \ube44\uc804 \uc791\uc5c5\uc740 GPU\uc5d0\uc11c \ud6e8\uc52c \ub354 \ube60\ub974\uac8c \uc774\ub8e8\uc5b4\uc9d1\ub2c8\ub2e4. NVIDIA GPU\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uacbd\uc6b0 CUDA\ub97c \ud65c\uc6a9\ud558\uc5ec YOLO \ubaa8\ub378\uc744 \ub354 \ube60\ub974\uac8c \uc2e4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
8. \uacb0\ub860<\/h2>\n
YOLO\uc640 SORT\ub97c \uc870\ud569\ud558\uc5ec \uac1d\uccb4 \uac80\ucd9c \ubc0f \ucd94\uc801 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. YOLO\ub294 \ube60\ub974\uace0 \uc815\ud655\ud55c \uac1d\uccb4 \uac80\ucd9c\uc744 \uc81c\uacf5\ud558\uba70, SORT\ub294 \uc774\ub97c \uae30\ubc18\uc73c\ub85c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \ucd94\uc801\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc2dc\uc2a4\ud15c\uc740 \uc790\uc728\uc8fc\ud589\ucc28, \ubcf4\uc548 \uc2dc\uc2a4\ud15c, \uc2a4\ub9c8\ud2b8 \uc2dc\ud2f0 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0 \uc751\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\uc774 \uac15\uc88c\uac00 YOLO\uc640 SORT\ub97c \ud65c\uc6a9\ud55c \uac1d\uccb4 \ucd94\uc801 \uc2dc\uc2a4\ud15c\uc744 \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uc5c8\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4. \ucd94\uac00\uc801\uc73c\ub85c YOLO \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uace0, \ub354 \ub9ce\uc740 \uac1d\uccb4 \ud074\ub798\uc2a4\ub97c \ucd94\uac00\ud558\uc5ec \uc2dc\uc2a4\ud15c\uc744 \ub354 \ubc1c\uc804\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"