\ub2e4\uc591\ud55c \ud50c\ub7ab\ud3fc(\ubaa8\ubc14\uc77c, \uc6f9) \ubc30\ud3ec \uac00\ub2a5<\/li>\n<\/ul>\nOpenCV\uc640 TensorFlow \uc5f0\ub3d9\ud558\uae30<\/h2>\n
\n OpenCV\uc640 TensorFlow\uc758 \uc5f0\ub3d9\uc740 \ucef4\ud4e8\ud130 \ube44\uc804 \ud504\ub85c\uc81d\ud2b8\uc5d0\uc11c \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc774\ubbf8\uc9c0 \uc804\ucc98\ub9ac \ubc0f \ud6c4\ucc98\ub9ac\uc5d0 OpenCV\ub97c \uc0ac\uc6a9\ud558\uace0, \uc774 \ub370\uc774\ud130\ub97c TensorFlow \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uc5ec \uc608\uce21\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\ub85c OpenCV\uc640 TensorFlow\ub97c \uc5f0\ub3d9\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
1\ub2e8\uacc4: Python \ud658\uacbd \uc124\uc815<\/h3>\n
\n Python\uc5d0\uc11c OpenCV\uc640 TensorFlow\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574 \uc8fc\uc138\uc694.\n <\/p>\n
pip install opencv-python tensorflow<\/code><\/pre>\n2\ub2e8\uacc4: \ub370\uc774\ud130\uc14b \uc900\ube44<\/h3>\n
\n \uc774\ubbf8\uc9c0 \ubd84\ub958 \uc608\uc81c\ub97c \uc704\ud574 CIFAR-10 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4. \uc774 \ub370\uc774\ud130\uc14b\uc740 10\uac1c\uc758 \uce74\ud14c\uace0\ub9ac\ub85c \ub098\ub258\uc5b4\uc9c4 60,000\uac1c\uc758 32×32 \ud06c\uae30\uc758 \uceec\ub7ec \uc774\ubbf8\uc9c0\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
import tensorflow as tf\n\n# CIFAR-10 \ub370\uc774\ud130\uc14b \ubd88\ub7ec\uc624\uae30\n(x_train, y_train), (x_test, y_test) = tf.keras.datasets.cifar10.load_data()\n <\/code><\/pre>\n3\ub2e8\uacc4: OpenCV\ub97c \uc0ac\uc6a9\ud55c \uc774\ubbf8\uc9c0 \uc804\ucc98\ub9ac<\/h3>\n
\n \ub370\uc774\ud130\uc14b\uc744 \ubd88\ub7ec\uc628 \ud6c4, OpenCV\ub97c \uc0ac\uc6a9\ud574 \uc774\ubbf8\uc9c0\ub97c \uc804\ucc98\ub9ac\ud569\ub2c8\ub2e4. \uc81c\ubaa9\uc5d0 \ub530\ub77c \uc774\ubbf8\uc9c0\ub97c \ub9ac\uc0ac\uc774\uc988\ud558\uac70\ub098 \ud2b9\uc815\ud55c \ubcc0\ud658\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
import cv2\nimport numpy as np\n\n# \uc774\ubbf8\uc9c0 \uc804\ucc98\ub9ac \ud568\uc218\ndef preprocess_image(image):\n # \uc774\ubbf8\uc9c0\ub97c \ub9ac\uc0ac\uc774\uc988\n image = cv2.resize(image, (32, 32))\n # \uc774\ubbf8\uc9c0 \uc815\uaddc\ud654\n image = image.astype('float32') \/ 255.0\n return image\n\n# \uccab \ubc88\uc9f8 \uc774\ubbf8\uc9c0 \uc804\ucc98\ub9ac \uc608\uc81c\nprocessed_image = preprocess_image(x_train[0])\n <\/code><\/pre>\n4\ub2e8\uacc4: TensorFlow \ubaa8\ub378 \uad6c\ucd95<\/h3>\n
\n TensorFlow\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2ec\uce35 \uc2e0\uacbd\ub9dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud569\ub2c8\ub2e4. \uac04\ub2e8\ud55c CNN(Convolutional Neural Network) \uc544\ud0a4\ud14d\ucc98\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0 \ubd84\ub958 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.\n <\/p>\n
from tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense\n\n# CNN \ubaa8\ub378 \uad6c\ucd95\nmodel = Sequential()\nmodel.add(Conv2D(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))\nmodel.add(MaxPooling2D((2, 2)))\nmodel.add(Conv2D(64, (3, 3), activation='relu'))\nmodel.add(MaxPooling2D((2, 2)))\nmodel.add(Flatten())\nmodel.add(Dense(64, activation='relu'))\nmodel.add(Dense(10, activation='softmax'))\n\n# \ubaa8\ub378 \ucef4\ud30c\uc77c\nmodel.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n <\/code><\/pre>\n5\ub2e8\uacc4: \ubaa8\ub378 \ud6c8\ub828<\/h3>\n
\n \uc804\ucc98\ub9ac\ub41c \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \ud6c8\ub828\ud569\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub294 10 \uc5d0\ud3ec\ud06c \ub3d9\uc548 \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.\n <\/p>\n
model.fit(x_train, y_train, epochs=10, batch_size=64)\n <\/code><\/pre>\n\uc608\uc81c: OpenCV\uc640 TensorFlow\uc758 \uc5f0\ub3d9 \ud65c\uc6a9\ud558\uae30<\/h2>\n
\n \uc544\ub798 \uc608\uc81c\ub294 OpenCV\ub85c \uc2e4\uc2dc\uac04 \uce74\uba54\ub77c \ud53c\ub4dc\ub97c \uc77d\uace0, TensorFlow \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \ubd84\ub958\ud558\ub294 \uac04\ub2e8\ud55c \uc5b4\ud50c\ub9ac\ucf00\uc774\uc158\uc785\ub2c8\ub2e4.\n <\/p>\n
cap = cv2.VideoCapture(0) # 0\uc740 \uae30\ubcf8 \uce74\uba54\ub77c\ub97c \uc758\ubbf8\ud569\ub2c8\ub2e4.\n\nwhile True:\n ret, frame = cap.read()\n if not ret:\n break\n\n # \ud504\ub808\uc784\uc744 \uc804\ucc98\ub9ac\n input_image = preprocess_image(frame)\n input_image = np.expand_dims(input_image, axis=0) # \ubc30\uce58 \ucc28\uc6d0 \ucd94\uac00\n\n # \uc608\uce21 \uc218\ud589\n predictions = model.predict(input_image)\n class_idx = np.argmax(predictions)\n\n # \uacb0\uacfc \ucd9c\ub825\n cv2.putText(frame, f'Predicted Class: {class_idx}', (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)\n cv2.imshow('Video', frame)\n\n if cv2.waitKey(1) & 0xFF == ord('q'):\n break\n\ncap.release()\ncv2.destroyAllWindows()\n <\/code><\/pre>\n\uacb0\ub860<\/h2>\n
\n OpenCV\uc640 TensorFlow\ub97c \uc5f0\ub3d9\ud558\uc5ec \uc2e4\uc2dc\uac04 \uc774\ubbf8\uc9c0 \ubd84\ub958 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774 \ub450 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc11c\ub85c \ubcf4\uc644\uc801\uc778 \uad00\uacc4\uc5d0 \uc788\uc73c\uba70, \uac15\ub825\ud55c \ucef4\ud4e8\ud130 \ube44\uc804 \ubc0f \uba38\uc2e0 \ub7ec\ub2dd \ud504\ub85c\uc81d\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ub370 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc608\uc81c\ub97c \ud65c\uc6a9\ud558\uc5ec \uc5ec\ub7ec\ubd84\uc758 \ud504\ub85c\uc81d\ud2b8\uc5d0 \uc774 \uae30\uc220\uc744 \uc801\uc6a9\ud574 \ubcf4\uc2dc\uae38 \ubc14\ub78d\ub2c8\ub2e4.\n <\/p>\n
\n \uc55e\uc73c\ub85c\ub3c4 OpenCV\uc640 TensorFlow\ub97c \ud65c\uc6a9\ud55c \ub2e4\uc591\ud55c \uae30\uc220\uacfc \ud301\uc744 \uacf5\uc720\ud560 \uc608\uc815\uc774\ub2c8 \ub9ce\uc740 \uad00\uc2ec \ubd80\ud0c1\ub4dc\ub9bd\ub2c8\ub2e4. \uac10\uc0ac\ud569\ub2c8\ub2e4!\n <\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c OpenCV\uc640 TensorFlow\uc758 \uc870\ud569\uc740 \uac15\ub825\ud55c \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. OpenCV\ub294 \uc8fc\ub85c \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624 \ucc98\ub9ac\uc5d0 \ud2b9\ud654\ub418\uc5b4 \uc788\uc73c\uba70, TensorFlow\ub294 \uc2ec\uce35 \ud559\uc2b5 \ubc0f \uba38\uc2e0 \ub7ec\ub2dd\uc744 \uc704\ud55c \ucd5c\uace0\uc758 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ud558\ub098\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 OpenCV\uc640 TensorFlow\ub97c \uc5f0\ub3d9\ud558\uc5ec \uc2ec\uce35 \ud559\uc2b5 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc774\ubbf8\uc9c0 \ucc98\ub9ac\ub97c \ud1b5\ud574 \uacb0\uacfc\ub97c \uac1c\uc120\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. OpenCV \uac1c\uc694 OpenCV(Open Source Computer Vision Library)\ub294 \uc2e4\uc2dc\uac04 … \ub354 \ubcf4\uae30 “OpenCV \uac15\uc88c, OpenCV\uc640 TensorFlow \uc5f0\ub3d9”<\/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":[187],"tags":[],"class_list":["post-38778","post","type-post","status-publish","format-standard","hentry","category-opencv"],"yoast_head":"\nOpenCV \uac15\uc88c, OpenCV\uc640 TensorFlow \uc5f0\ub3d9 - \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\/38778\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV \uac15\uc88c, OpenCV\uc640 TensorFlow \uc5f0\ub3d9 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ucef4\ud4e8\ud130 \ube44\uc804 \ubd84\uc57c\uc5d0\uc11c OpenCV\uc640 TensorFlow\uc758 \uc870\ud569\uc740 \uac15\ub825\ud55c \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. OpenCV\ub294 \uc8fc\ub85c \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624 \ucc98\ub9ac\uc5d0 \ud2b9\ud654\ub418\uc5b4 \uc788\uc73c\uba70, TensorFlow\ub294 \uc2ec\uce35 \ud559\uc2b5 \ubc0f \uba38\uc2e0 \ub7ec\ub2dd\uc744 \uc704\ud55c \ucd5c\uace0\uc758 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ud558\ub098\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 OpenCV\uc640 TensorFlow\ub97c \uc5f0\ub3d9\ud558\uc5ec \uc2ec\uce35 \ud559\uc2b5 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc774\ubbf8\uc9c0 \ucc98\ub9ac\ub97c \ud1b5\ud574 \uacb0\uacfc\ub97c \uac1c\uc120\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. OpenCV \uac1c\uc694 OpenCV(Open Source Computer Vision Library)\ub294 \uc2e4\uc2dc\uac04 … \ub354 \ubcf4\uae30 "OpenCV \uac15\uc88c, OpenCV\uc640 TensorFlow \uc5f0\ub3d9"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/38778\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-02T00:57:01+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:43:22+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=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/38778\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38778\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"OpenCV \uac15\uc88c, OpenCV\uc640 TensorFlow \uc5f0\ub3d9\",\"datePublished\":\"2024-11-02T00:57:01+00:00\",\"dateModified\":\"2024-11-26T06:43:22+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/38778\/\"},\"wordCount\":58,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"OpenCV\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/38778\/\",\"url\":\"https:\/\/atmokpo.com\/w\/38778\/\",\"name\":\"OpenCV \uac15\uc88c, OpenCV\uc640 TensorFlow \uc5f0\ub3d9 - 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OpenCV\ub294 \uc8fc\ub85c \uc774\ubbf8\uc9c0\uc640 \ube44\ub514\uc624 \ucc98\ub9ac\uc5d0 \ud2b9\ud654\ub418\uc5b4 \uc788\uc73c\uba70, TensorFlow\ub294 \uc2ec\uce35 \ud559\uc2b5 \ubc0f \uba38\uc2e0 \ub7ec\ub2dd\uc744 \uc704\ud55c \ucd5c\uace0\uc758 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ud558\ub098\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 OpenCV\uc640 TensorFlow\ub97c \uc5f0\ub3d9\ud558\uc5ec \uc2ec\uce35 \ud559\uc2b5 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc774\ubbf8\uc9c0 \ucc98\ub9ac\ub97c \ud1b5\ud574 \uacb0\uacfc\ub97c \uac1c\uc120\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 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