yolov3.weights<\/a><\/li>\n<\/ul>\nYOLOv3\ub85c \uc774\ubbf8\uc9c0\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30<\/h2>\n
\uc774\uc81c YOLOv3 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \ucc98\ub9ac\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 YOLOv3\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uc785\ub825\uc73c\ub85c \ubc1b\uc544 \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \ucf54\ub4dc \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n
import cv2\nimport numpy as np\n\n# YOLOv3 \uc124\uc815 \ud30c\uc77c\uacfc \uac00\uc911\uce58 \ud30c\uc77c \uacbd\ub85c\nconfig_path = 'yolov3.cfg'\nweights_path = 'yolov3.weights'\nclass_file = 'coco.names'\n\n# \ud074\ub798\uc2a4 \ub85c\ub4dc\nwith open(class_file, 'r') as f:\n classes = [line.strip() for line in f.readlines()]\n\n# \ubaa8\ub378 \ub85c\ub4dc\nnet = cv2.dnn.readNet(weights_path, config_path)\n\ndef detect_objects(image):\n height, width = image.shape[:2]\n \n # \ubaa8\ub378 \uc785\ub825 \uc124\uc815\n blob = cv2.dnn.blobFromImage(image, 0.00392, (416, 416), (0, 0, 0), True, cropped=False)\n net.setInput(blob)\n\n # \ucd9c\ub825 \ub808\uc774\uc5b4 \uc774\ub984 \uac00\uc838\uc624\uae30\n layer_names = net.getLayerNames()\n output_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()]\n \n # \uac1d\uccb4 \uac10\uc9c0 \uc218\ud589\n outputs = net.forward(output_layers)\n\n boxes = []\n confidences = []\n class_ids = []\n\n for output in outputs:\n for detection in output:\n scores = detection[5:]\n class_id = np.argmax(scores)\n confidence = scores[class_id]\n if confidence > 0.5:\n center_x, center_y = int(detection[0] * width), int(detection[1] * height)\n w, h = int(detection[2] * width), int(detection[3] * height)\n\n # \ubc15\uc2a4 \uc88c\ud45c\uc5d0 \ub300\ud55c \uc815\ubcf4 \uacc4\uc0b0\n x = int(center_x - w \/ 2)\n y = int(center_y - h \/ 2)\n\n boxes.append([x, y, w, h])\n confidences.append(float(confidence))\n class_ids.append(class_id)\n\n # \ube44\ucd5c\ub300 \uc5b5\uc81c\n indexes = cv2.dnn.NMSBoxes(boxes, confidences, 0.5, 0.4)\n\n return indexes, boxes, confidences, class_ids\n\ndef draw_labels(image, indexes, boxes, confidences, class_ids):\n for i in range(len(boxes)):\n if i in indexes:\n x, y, w, h = boxes[i]\n label = str(classes[class_ids[i]])\n confidence = confidences[i]\n cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)\n cv2.putText(image, f\"{label} {confidence:.2f}\", (x, y + 30), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 2)\n\n# \uc774\ubbf8\uc9c0 \uc77d\uae30\nimage = cv2.imread('image.jpg')\nindexes, boxes, confidences, class_ids = detect_objects(image)\ndraw_labels(image, indexes, boxes, confidences, class_ids)\n\n# \uacb0\uacfc \uc774\ubbf8\uc9c0 \ud45c\uc2dc\ncv2.imshow('Image', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre>\n\uc704 \ucf54\ub4dc\ub294 YOLOv3\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uc785\ub825\ubc1b\uace0, \uac80\ucd9c\ub41c \uac1d\uccb4\ub97c \uc0ac\uac01\ud615\uc73c\ub85c \ud45c\uc2dc\ud558\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4. \uac10\uc9c0\ub41c \uac1d\uccb4\uc5d0 \ub300\ud55c \ud074\ub798\uc2a4 \uc774\ub984\uacfc \uc2e0\ub8b0\ub3c4\ub3c4 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/p>\n
\ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30<\/h2>\n
\uc774\uc81c \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4\ub97c \uac80\ucd9c\ud574\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4. \ube44\ub514\uc624 \ud30c\uc77c\uc744 \uc5f4\uace0 \ud504\ub808\uc784\ub9c8\ub2e4 \uac1d\uccb4 \uac80\ucd9c\uc744 \uc218\ud589\ud558\uc5ec \uacb0\uacfc\ub97c \ucd9c\ub825\ud558\ub294 \uc608\uc81c\ub97c \uc791\uc131\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
cap = cv2.VideoCapture('video.mp4')\n\nwhile cap.isOpened():\n ret, frame = cap.read()\n if not ret:\n break\n\n indexes, boxes, confidences, class_ids = detect_objects(frame)\n draw_labels(frame, indexes, boxes, confidences, class_ids)\n\n cv2.imshow('Video', frame)\n\n if cv2.waitKey(1) & 0xFF == ord('q'):\n break\n\ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n\uc704 \ucf54\ub4dc\ub294 \ube44\ub514\uc624 \ud30c\uc77c\uc744 \uc5f4\uace0, \uac01 \ud504\ub808\uc784\uc5d0\uc11c \uac1d\uccb4\ub97c \uac10\uc9c0\ud558\uc5ec \ud654\uba74\uc5d0 \ud45c\uc2dc\ud569\ub2c8\ub2e4. \uc0ac\uc6a9\uc790\uac00 ‘q’ \ud0a4\ub97c \ub204\ub974\uba74 \ube44\ub514\uc624\uac00 \uc885\ub8cc\ub429\ub2c8\ub2e4.<\/p>\n
\uc6f9\ucea0\uc5d0\uc11c \uc2e4\uc2dc\uac04 \uac1d\uccb4 \uac80\ucd9c\ud558\uae30<\/h2>\n
\uc6f9\ucea0\uc744 \ud1b5\ud574 \uc2e4\uc2dc\uac04\uc73c\ub85c \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \uac83\ub3c4 \uac00\ub2a5\ud569\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub294 \uc2e4\uc2dc\uac04\uc73c\ub85c \uc6f9\ucea0\uc5d0\uc11c \uac1d\uccb4\ub97c \uac10\uc9c0\ud558\uba70, \uc0ac\uc6a9\uc790\uac00 ‘q’ \ud0a4\ub97c \ub204\ub974\uba74 \uc885\ub8cc\ub429\ub2c8\ub2e4.<\/p>\n
cap = cv2.VideoCapture(0)\n\nwhile True:\n ret, frame = cap.read()\n if not ret:\n break\n\n indexes, boxes, confidences, class_ids = detect_objects(frame)\n draw_labels(frame, indexes, boxes, confidences, class_ids)\n\n cv2.imshow('Webcam', frame)\n\n if cv2.waitKey(1) & 0xFF == ord('q'):\n break\n\ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n\uc774 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74 \uc5f0\uacb0\ub41c \uc6f9\ucea0\uc5d0\uc11c \uac1d\uccb4\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \uac80\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\uacb0\ub860<\/h2>\n
YOLO\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \uacfc\uc815\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uae30\ubcf8\uc801\uc778 \uc774\ubbf8\uc9c0\uc5d0\uc11c\uc758 \uac1d\uccb4 \uac80\ucd9c, \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c\uc758 \uac1d\uccb4 \uac80\ucd9c, \uc2e4\uc2dc\uac04 \uc6f9\ucea0\uc5d0\uc11c\uc758 \uac1d\uccb4 \uac80\ucd9c\uc744 \ud3ec\ud568\ud558\uc600\uc2b5\ub2c8\ub2e4. YOLO\ub294 \ub2e4\uc591\ud55c \ud658\uacbd\uc5d0\uc11c \ud6a8\uc728\uc801\uc73c\ub85c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc73c\uba70, \uc2e4\uc2dc\uac04 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \uc801\ud569\ud55c \uae30\uc220\uc785\ub2c8\ub2e4. YOLO\ub97c \ub354\uc6b1 \uae4a\uc774 \uc774\ud574\ud558\uace0 \uc2f6\ub2e4\uba74, \ub2e4\uc591\ud55c \ud30c\ub77c\ubbf8\ud130 \uc870\uc815 \ubc0f \ucee4\uc2a4\ud130\ub9c8\uc774\uc9d5\uc744 \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ucd5c\uc801\ud654\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc5f0\uad6c\ud574 \ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
YOLO(You Only Look Once)\ub294 \uac1d\uccb4 \uac80\ucd9c \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \uc778\uae30 \uc788\ub294 \ubc29\ubc95 \uc911 \ud558\ub098\ub85c, \ube60\ub974\uace0 \uc815\ud655\ud558\uac8c \uac1d\uccb4\ub97c \ud0d0\uc9c0\ud560 \uc218 \uc788\ub294 \ud2b9\uc9d5\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. YOLO\ub294 \uc774\ubbf8\uc9c0\ub098 \ube44\ub514\uc624 \ud504\ub808\uc784\uc744 \ud55c \ubc88\ub9cc \ubcf4\uace0 \ubaa8\ub4e0 \uac1d\uccb4\ub97c \ub3d9\uc2dc\uc5d0 \uac80\ucd9c\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uc2e4\uc2dc\uac04 \uc6f9\ucea0 \ubc0f \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. YOLO\ub780 \ubb34\uc5c7\uc778\uac00? YOLO\ub294 \uac1d\uccb4 \uac80\ucd9c\uc758 \ucd5c\uc804\uc120\uc5d0\uc11c … \ub354 \ubcf4\uae30 “YOLO \ubaa8\ub378\ub85c \uac1d\uccb4 \uac80\ucd9c \uc2dc\uc791\ud558\uae30, \ube44\ub514\uc624\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30 \uc2e4\uc2dc\uac04 \uc6f9\ucea0 \ubc0f \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c”<\/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-38842","post","type-post","status-publish","format-standard","hentry","category-yolo"],"yoast_head":"\nYOLO \ubaa8\ub378\ub85c \uac1d\uccb4 \uac80\ucd9c \uc2dc\uc791\ud558\uae30, \ube44\ub514\uc624\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30 \uc2e4\uc2dc\uac04 \uc6f9\ucea0 \ubc0f \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c - \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\/38842\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"YOLO \ubaa8\ub378\ub85c \uac1d\uccb4 \uac80\ucd9c \uc2dc\uc791\ud558\uae30, \ube44\ub514\uc624\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30 \uc2e4\uc2dc\uac04 \uc6f9\ucea0 \ubc0f \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"YOLO(You Only Look Once)\ub294 \uac1d\uccb4 \uac80\ucd9c \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \uc778\uae30 \uc788\ub294 \ubc29\ubc95 \uc911 \ud558\ub098\ub85c, \ube60\ub974\uace0 \uc815\ud655\ud558\uac8c \uac1d\uccb4\ub97c \ud0d0\uc9c0\ud560 \uc218 \uc788\ub294 \ud2b9\uc9d5\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. YOLO\ub294 \uc774\ubbf8\uc9c0\ub098 \ube44\ub514\uc624 \ud504\ub808\uc784\uc744 \ud55c \ubc88\ub9cc \ubcf4\uace0 \ubaa8\ub4e0 \uac1d\uccb4\ub97c \ub3d9\uc2dc\uc5d0 \uac80\ucd9c\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 YOLO \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uc2e4\uc2dc\uac04 \uc6f9\ucea0 \ubc0f \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4\ub97c \uac80\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. YOLO\ub780 \ubb34\uc5c7\uc778\uac00? YOLO\ub294 \uac1d\uccb4 \uac80\ucd9c\uc758 \ucd5c\uc804\uc120\uc5d0\uc11c … \ub354 \ubcf4\uae30 "YOLO \ubaa8\ub378\ub85c \uac1d\uccb4 \uac80\ucd9c \uc2dc\uc791\ud558\uae30, \ube44\ub514\uc624\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30 \uc2e4\uc2dc\uac04 \uc6f9\ucea0 \ubc0f \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/38842\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-02T01:39:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:43:12+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=\"2\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/38842\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38842\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"YOLO \ubaa8\ub378\ub85c \uac1d\uccb4 \uac80\ucd9c \uc2dc\uc791\ud558\uae30, \ube44\ub514\uc624\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30 \uc2e4\uc2dc\uac04 \uc6f9\ucea0 \ubc0f \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\",\"datePublished\":\"2024-11-02T01:39:30+00:00\",\"dateModified\":\"2024-11-26T06:43:12+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38842\/\"},\"wordCount\":32,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"YOLO\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/38842\/\",\"url\":\"https:\/\/atmokpo.com\/w\/38842\/\",\"name\":\"YOLO \ubaa8\ub378\ub85c \uac1d\uccb4 \uac80\ucd9c \uc2dc\uc791\ud558\uae30, \ube44\ub514\uc624\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c\ud558\uae30 \uc2e4\uc2dc\uac04 \uc6f9\ucea0 \ubc0f \ube44\ub514\uc624 \ud30c\uc77c\uc5d0\uc11c \uac1d\uccb4 \uac80\ucd9c - 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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":38842,"position":2},"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":[]},{"id":38752,"url":"https:\/\/atmokpo.com\/w\/38752\/","url_meta":{"origin":38842,"position":3},"title":"OpenCV \uac15\uc88c, Canny Edge Detection \ud30c\ub77c\ubbf8\ud130 \uc870\uc815\ubc95","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"2023\ub144 10\uc6d4 7\uc77c \uc791\uc131\uc790: \uc870\uad11\ud615 1. Canny Edge Detection\uc774\ub780? Canny Edge Detection\uc740 \uc774\ubbf8\uc9c0\uc5d0\uc11c \uacbd\uacc4\ub97c \uac80\ucd9c\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4. \uc774 \uc54c\uace0\ub9ac\uc998\uc740 \uc874 \ub9e5\uce90\ubc14\ub2c8\uac00 \uac1c\ubc1c\ud558\uc600\uc73c\uba70, \ub6f0\uc5b4\ub09c \uc131\ub2a5\uacfc \uc800\ud56d\uc131\uc744 \uac00\uc9c0\uace0 \uc788\uc5b4 \ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4. Canny Edge Detection\uc740 \uc774\ub7ec\ud55c \uacfc\uc815\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0 \ubd84\uc11d \ubc0f \uac1d\uccb4 \uac10\uc9c0\uc5d0 \ud544\uc218\uc801\uc778 \uacbd\uacc4\ub97c \uc815\ud655\ud558\uac8c \ud0d0\uc9c0\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744\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":[]},{"id":38798,"url":"https:\/\/atmokpo.com\/w\/38798\/","url_meta":{"origin":38842,"position":4},"title":"OpenCV \uac15\uc88c, PyTorch \ubaa8\ub378\uc744 OpenCV\ub85c \ub85c\ub4dc\ud558\uc5ec \uc2e4\ud589\ud558\uae30","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"\uc800\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 OpenCV(Open Source Computer Vision Library)\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uba38\uc2e0\ub7ec\ub2dd\uc744 \uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0 \ubc0f \ube44\ub514\uc624 \ucc98\ub9ac \uae30\uc220\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. PyTorch\ub294 \uba38\uc2e0\ub7ec\ub2dd \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ud2b9\ud788 \ub525\ub7ec\ub2dd \ubaa8\ub378\uc758 \uac1c\ubc1c\uacfc \ud559\uc2b5\uc5d0 \ub9ce\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 PyTorch\ub85c \ud559\uc2b5\ud55c \ubaa8\ub378\uc744 OpenCV\ub97c \ud1b5\ud574 \ub85c\ub4dc\ud558\uc5ec \uc2e4\uc2dc\uac04\uc73c\ub85c \uc2e4\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 2.\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":[]},{"id":38822,"url":"https:\/\/atmokpo.com\/w\/38822\/","url_meta":{"origin":38842,"position":5},"title":"OpenCV \uac15\uc88c, \ub2e4\uc591\ud55c \uc0ac\uc804 \ud559\uc2b5 \ubaa8\ub378 \ube44\uad50 \ubc0f \ud29c\ub2dd","author":"root","date":"2024\ub144 11\uc6d4 02\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: [\ub0a0\uc9dc] 1. 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. C++, Python, Java \ub4f1 \ub2e4\uc591\ud55c \uc5b8\uc5b4\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc73c\uba70, \uc774 \uae00\uc5d0\uc11c\ub294 \uc8fc\ub85c Python\uacfc \ud568\uaed8 OpenCV\ub97c \ud65c\uc6a9\ud55c \ub2e4\uc591\ud55c \uc0ac\uc804 \ud559\uc2b5 \ubaa8\ub378\uc744 \ube44\uad50\ud558\uace0 \ud29c\ub2dd\ud558\ub294 \ubc29\ubc95\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 2.\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\/38842","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=38842"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38842\/revisions"}],"predecessor-version":[{"id":38843,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/38842\/revisions\/38843"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=38842"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=38842"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=38842"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}