\uc815\uaddc\ud654: \ud53d\uc140 \uac12(0-255)\uc744 0\uacfc 1 \uc0ac\uc774\ub85c \uc815\uaddc\ud654\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n2. \uadf8\ub9ac\ub4dc \uc140 \ubd84\ud560<\/h3>\n
YOLO\ub294 \uc785\ub825 \uc774\ubbf8\uc9c0\ub97c SxS \uadf8\ub9ac\ub4dc \uc140\ub85c \ubd84\ud560\ud569\ub2c8\ub2e4. \uac01 \uadf8\ub9ac\ub4dc \uc140\uc740 \uc774\ubbf8\uc9c0\uc758 \ud574\ub2f9 \uc601\uc5ed\uc5d0 \ub300\ud55c \uac1d\uccb4\ub97c \ud0d0\uc9c0\ud558\ub294 \ucc45\uc784\uc744 \uc9d1\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, 7×7 \uadf8\ub9ac\ub4dc \uc140\uc740 7\uac1c\uc758 \uac00\ub85c\uc640 7\uac1c\uc758 \uc138\ub85c \uc140\ub85c \uc774\ubbf8\uc9c0\uc758 \uc804\uccb4\ub97c \ub098\ub204\uac8c \ub429\ub2c8\ub2e4.<\/p>\n
3. \uc608\uce21 \ubc0f \ucd9c\ub825<\/h3>\n
\uac01 \uadf8\ub9ac\ub4dc \uc140\uc740 \uac01 \uac1d\uccb4\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \ud3ec\ud568\ud558\ub294 \ubc14\uc6b4\ub529 \ubc15\uc2a4\uc758 \uc608\uce21\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608\uce21 \uacb0\uacfc\ub294 \ud074\ub798\uc2a4 \ud655\ub960 \ubc0f \uacbd\uacc4 \uc0c1\uc790 \uc88c\ud45c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4. YOLO\uc758 \ucd5c\uc885 \ucd9c\ub825\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \ud3ec\ub9f7\uc744 \uac00\uc9d1\ub2c8\ub2e4:<\/p>\n
\ngrid_cell_x, grid_cell_y, width, height, confidence, class_probabilities\n<\/pre>\n\ud074\ub798\uc2a4 \uc608\uce21<\/h2>\n
YOLO\uc758 \uac01 \uadf8\ub9ac\ub4dc \uc140\uc740 \ud574\ub2f9 \uc140\uc5d0 \uac1d\uccb4\uac00 \uc874\uc7ac\ud558\ub294 \uacbd\uc6b0 classes \uc218\ub9cc\ud07c\uc758 \ud074\ub798\uc2a4 \ud655\ub960\uc744 \uc608\uce21\ud569\ub2c8\ub2e4. \uac1d\uccb4\uc758 \ud074\ub798\uc2a4 \uc608\uce21\uc740 \uc18c\ud504\ud2b8\ub9e5\uc2a4(Softmax) \ud568\uc218\ub97c \ud1b5\ud574 \ube44\uc728\ud654\ub41c \uac12\uc73c\ub85c \ub098\ud0c0\ub098\uba70, \uac00\uc7a5 \ub192\uc740 \ud655\ub960\uc744 \uac00\uc9c0\ub294 \ud074\ub798\uc2a4\uac00 \ucd5c\uc885 \uc608\uce21 \ud074\ub798\uc2a4\uac00 \ub429\ub2c8\ub2e4.<\/p>\n
\ud074\ub798\uc2a4 \uc608\uce21 \uc608\uc81c \ucf54\ub4dc<\/h3>\n
\uc544\ub798\ub294 YOLO \ubaa8\ub378\uc5d0\uc11c \ud074\ub798\uc2a4 \uc608\uce21\uc744 \uc218\ud589\ud558\ub294 \uae30\ubcf8\uc801\uc778 \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4:<\/p>\n
import numpy as np\n\n# \uc608\uce21\ub41c \ud074\ub798\uc2a4 \ud655\ub960 (3\uac1c\uc758 \ud074\ub798\uc2a4)\nclass_probs = np.array([0.1, 0.7, 0.2])\n\n# \uc18c\ud504\ud2b8\ub9e5\uc2a4 \ud568\uc218\ub97c \uc801\uc6a9\ud558\uc5ec \ud655\ub960\uc744 \ube44\uc728\ud654\ndef softmax(x):\n exp_x = np.exp(x - np.max(x)) # \uc548\uc815\uc801 \uacc4\uc0b0\uc744 \uc704\ud55c \uc218\uc2dd\n return exp_x \/ exp_x.sum()\n\nnormalized_probs = softmax(class_probs)\n\n# \uac00\uc7a5 \ub192\uc740 \ud655\ub960\uc744 \uac00\uc9c4 \ud074\ub798\uc2a4 \ucc3e\uae30\npredicted_class = np.argmax(normalized_probs)\npredicted_probability = normalized_probs[predicted_class]\n\nprint(f\"Predicted Class: {predicted_class}, Probability: {predicted_probability:.2f}\")\n<\/code><\/pre>\n\uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0<\/h2>\n
\uac01 \uadf8\ub9ac\ub4dc \uc140\uc740 \uac1d\uccb4\ub97c \ud0d0\uc9c0\ud558\uae30 \uc704\ud574 \uacbd\uacc4 \uc0c1\uc790\uc758 \uc704\uce58\ub97c \ud68c\uadc0\ud569\ub2c8\ub2e4. YOLO\ub294 \uacbd\uacc4 \uc0c1\uc790\uc758 \uc911\uc559 \uc88c\ud45c, \ub108\ube44 \ubc0f \ub192\uc774\ub97c \uc608\uce21\ud569\ub2c8\ub2e4. \ud68c\uadc0\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc218\uc2dd\uc744 \ud1b5\ud574 \uacc4\uc0b0\ub429\ub2c8\ub2e4:<\/p>\n
\n- \uc911\uc2ec \uc88c\ud45c (bx, by):<\/strong> \ud574\ub2f9 \uadf8\ub9ac\ub4dc \uc140\uc758 \uc88c\ud45c\ub97c \uae30\uc900\uc73c\ub85c \uacc4\uc0b0\ub429\ub2c8\ub2e4.<\/li>\n
- \ub108\ube44 (bw) \ubc0f \ub192\uc774 (bh):<\/strong> \uc608\uce21\ub41c \uacbd\uacc4 \uc0c1\uc790\ub294 \uc2e4\uc81c \uc774\ubbf8\uc9c0 \ud06c\uae30\uc5d0 \uc0c1\ub300\uc801\uc73c\ub85c scaling\ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n
\uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0 \uc608\uc81c \ucf54\ub4dc<\/h3>\n
\uacbd\uacc4 \uc0c1\uc790\ub97c \ud68c\uadc0\ud558\ub294 \ucf54\ub4dc\uc758 \uc608\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
# \uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0 \uc608\uc81c\n\n# \uc608\uce21\ub41c \ubc14\uc6b4\ub529 \ubc15\uc2a4 (bx, by, bw, bh)\npredicted_box = [0.5, 0.5, 0.3, 0.4] # \uadf8\ub9ac\ub4dc \uc140\uc758 \uc911\uc559 \uae30\uc900\ngrid_size = 416 # \uc6d0\ubcf8 \uc774\ubbf8\uc9c0 \ud06c\uae30\n\n# \uacbd\uacc4 \uc0c1\uc790 \uc88c\ud45c \uacc4\uc0b0\nx1 = (predicted_box[0] - predicted_box[2] \/ 2) * grid_size\ny1 = (predicted_box[1] - predicted_box[3] \/ 2) * grid_size\nx2 = (predicted_box[0] + predicted_box[2] \/ 2) * grid_size\ny2 = (predicted_box[1] + predicted_box[3] \/ 2) * grid_size\n\nprint(f\"Bounding Box coordinates: ({x1}, {y1}) to ({x2}, {y2})\")\n<\/code><\/pre>\n\uc2e0\ub8b0\ub3c4(confidence) \uc774\ud574\ud558\uae30<\/h2>\n
\uc2e0\ub8b0\ub3c4\ub294 \uac1d\uccb4 \ud0d0\uc9c0\uc758 \uc815\ud655\uc131\uc744 \ub098\ud0c0\ub0b4\ub294 \uc9c0\ud45c\ub85c, \ubc14\uc6b4\ub529 \ubc15\uc2a4\uac00 \ud2b9\uc815 \ud074\ub798\uc2a4\uc5d0 \ub300\ud574 \uc5bc\ub9c8\ub098 \ubbff\uc744 \uc218 \uc788\ub294\uc9c0\ub97c \ud3c9\uac00\ud569\ub2c8\ub2e4. YOLO\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uc2e0\ub8b0\ub3c4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4:<\/p>\n
\n- \uc2e0\ub8b0\ub3c4 = P(Object) * IoU (Intersection over Union)<\/li>\n<\/ul>\n
\uc5ec\uae30\uc11c P(Object)\ub294 \ud574\ub2f9 \uadf8\ub9ac\ub4dc \uc140\uc5d0 \uac1d\uccb4\uac00 \uc874\uc7ac\ud560 \ud655\ub960\uc774\uba70 IoU\ub294 \uc608\uce21\ub41c \ubc15\uc2a4\uc640 \uc2e4\uc81c \uac1d\uccb4 \ubc15\uc2a4 \uac04\uc758 \uacb9\uce58\ub294 \uc815\ub3c4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/p>\n
\uc2e0\ub8b0\ub3c4 \uc608\uce21 \uc608\uc81c \ucf54\ub4dc<\/h3>\n
\uc544\ub798\ub294 YOLO\uc5d0\uc11c \uc2e0\ub8b0\ub3c4\ub97c \uacc4\uc0b0\ud558\ub294 \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4:<\/p>\n
# \uc2e0\ub8b0\ub3c4 \uc608\uce21 \uc608\uc81c\n\n# \uc608\uce21\ub41c \ud074\ub798\uc2a4 \ud655\ub960\np_object = 0.8 # \uac1d\uccb4\uac00 \uc874\uc7ac\ud560 \ud655\ub960\niou = 0.5 # IoU \uac12\n\nconfidence_score = p_object * iou\nprint(f\"Confidence Score: {confidence_score:.2f}\")\n<\/code><\/pre>\n\uacb0\ub860<\/h2>\n
YOLO\ub294 \uac1d\uccb4 \ud0d0\uc9c0\uc758 \uc18d\ub3c4\uc640 \uc815\ud655\uc131 \uce21\uba74\uc5d0\uc11c \uac15\ub825\ud55c \uc131\ub2a5\uc744 \uc81c\uacf5\ud558\ub294 \ubaa8\ub378\uc785\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c \uc124\uba85\ud55c \ud074\ub798\uc2a4 \uc608\uce21, \uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0, \uc2e0\ub8b0\ub3c4 \ub4f1 \uc810\ucc28\uc801\uc73c\ub85c YOLO\uc758 \ub0b4\ubd80 \uad6c\uc870\uc640 \uadf8 \uc791\ub3d9 \ubc29\uc2dd\uc744 \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc8fc\uc5c8\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c YOLO \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \ubcf4\ub2e4 \ubc1c\uc804\ub41c \ube44\uc804 \uc18c\ud504\ud2b8\uc6e8\uc5b4\ub97c \uac1c\ubc1c\ud574 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
YOLO(You Only Look Once)\ub294 \uac1d\uccb4 \ud0d0\uc9c0\ub97c \uc704\ud55c \uc778\uacf5 \uc2e0\uacbd\ub9dd \ubaa8\ub378\ub85c, \uc774\ubbf8\uc9c0 \uc804\uccb4\ub97c \ud55c \ubc88\uc5d0 \ubd84\uc11d\ud558\uc5ec \uac1d\uccb4\uc758 \uc720\ud615 \ubc0f \uc704\uce58\ub97c \ud0d0\uc9c0\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. YOLO\ub294 \ube60\ub974\uace0 \uc815\ud655\ud55c \uc131\ub2a5\uc744 \uc790\ub791\ud558\uc5ec, \ub2e4\uc591\ud55c \ucef4\ud4e8\ud130 \ube44\uc804 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \uad11\ubc94\uc704\ud558\uac8c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 YOLO\uc758 \uad6c\uc870\uc640 \ud074\ub798\uc2a4 \uc608\uce21, \uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0, \uc2e0\ub8b0\ub3c4(confidence)\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc124\uba85\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. YOLO\uc758 \uae30\ubcf8 \uad6c\uc870 YOLO\ub294 CNN(Convolutional Neural Network) \uc544\ud0a4\ud14d\ucc98\ub97c … \ub354 \ubcf4\uae30 “YOLO\uc758 \uad6c\uc870 \uc774\ud574\ud558\uae30, \ud074\ub798\uc2a4 \uc608\uce21, \uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0 \ubc0f \uc2e0\ub8b0\ub3c4(confidence) \uc774\ud574”<\/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-38864","post","type-post","status-publish","format-standard","hentry","category-yolo"],"yoast_head":"\nYOLO\uc758 \uad6c\uc870 \uc774\ud574\ud558\uae30, \ud074\ub798\uc2a4 \uc608\uce21, \uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0 \ubc0f \uc2e0\ub8b0\ub3c4(confidence) \uc774\ud574 - \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\/38864\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"YOLO\uc758 \uad6c\uc870 \uc774\ud574\ud558\uae30, \ud074\ub798\uc2a4 \uc608\uce21, \uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0 \ubc0f \uc2e0\ub8b0\ub3c4(confidence) \uc774\ud574 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"YOLO(You Only Look Once)\ub294 \uac1d\uccb4 \ud0d0\uc9c0\ub97c \uc704\ud55c \uc778\uacf5 \uc2e0\uacbd\ub9dd \ubaa8\ub378\ub85c, \uc774\ubbf8\uc9c0 \uc804\uccb4\ub97c \ud55c \ubc88\uc5d0 \ubd84\uc11d\ud558\uc5ec \uac1d\uccb4\uc758 \uc720\ud615 \ubc0f \uc704\uce58\ub97c \ud0d0\uc9c0\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. YOLO\ub294 \ube60\ub974\uace0 \uc815\ud655\ud55c \uc131\ub2a5\uc744 \uc790\ub791\ud558\uc5ec, \ub2e4\uc591\ud55c \ucef4\ud4e8\ud130 \ube44\uc804 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \uad11\ubc94\uc704\ud558\uac8c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 YOLO\uc758 \uad6c\uc870\uc640 \ud074\ub798\uc2a4 \uc608\uce21, \uacbd\uacc4 \uc0c1\uc790 \ud68c\uadc0, \uc2e0\ub8b0\ub3c4(confidence)\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc124\uba85\uc744 \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 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