{"id":29576,"date":"2024-10-28T01:55:32","date_gmt":"2024-10-28T01:55:32","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29576"},"modified":"2024-11-26T06:52:12","modified_gmt":"2024-11-26T06:52:12","slug":"%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%8a%b8%eb%a0%8c%ec%8a%a4%ed%8f%ac%eb%a8%b8-%ed%99%9c%ec%9a%a9%ea%b0%95%ec%a2%8c-clip-%ec%ba%a1%ec%85%98-%ec%98%88%ec%b8%a1-%ea%b2%b0%ea%b3%bc","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29576\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, CLIP \ucea1\uc158 \uc608\uce21 \uacb0\uacfc"},"content":{"rendered":"<p><body><\/p>\n<p>\ub525\ub7ec\ub2dd\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP), \uc774\ubbf8\uc9c0 \ucc98\ub9ac, \uc74c\uc131 \uc778\uc2dd \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud070 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4 CLIP(Contrastive Language\u2013Image Pretraining) \ubaa8\ub378\uc740 \uc774\ubbf8\uc9c0\uc640 \ud14d\uc2a4\ud2b8\ub97c \uc5f0\uacb0\ud558\ub294 \ud601\uc2e0\uc801\uc778 \uc811\uadfc\ubc95\uc785\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face) \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud558\uc5ec CLIP \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uace0, \uc774\ubbf8\uc9c0 \ucea1\uc158 \uc608\uce21 \uacb0\uacfc\ub97c \ub3c4\ucd9c\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. CLIP \ubaa8\ub378 \uc18c\uac1c<\/h2>\n<p>CLIP \ubaa8\ub378\uc740 OpenAI\uc5d0\uc11c \uac1c\ubc1c\ud55c \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8\uc640 \uc774\ubbf8\uc9c0\ub97c \ub3d9\uc2dc\uc5d0 \ud559\uc2b5\ud558\uc5ec \uc11c\ub85c\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud560 \uc218 \uc788\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 \ud14d\uc2a4\ud2b8\uc640 \uc774\ubbf8\uc9c0\ub97c \uace0\ucc28\uc6d0 \uc784\ubca0\ub529 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec, \uc8fc\uc5b4\uc9c4 \ud14d\uc2a4\ud2b8\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \uc774\ubbf8\uc9c0\ub97c \uc120\ud0dd\ud558\uac70\ub098, \uc8fc\uc5b4\uc9c4 \uc774\ubbf8\uc9c0\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \ud14d\uc2a4\ud2b8\ub97c \uc120\ud0dd\ud558\ub294 \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>1.1 CLIP\uc758 \uc791\ub3d9 \uc6d0\ub9ac<\/h3>\n<p>CLIP \ubaa8\ub378\uc758 \ud575\uc2ec\uc740 \ub300\uc870 \ud559\uc2b5\uc785\ub2c8\ub2e4. \ud14d\uc2a4\ud2b8\uc640 \uc774\ubbf8\uc9c0 \uc30d\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec, \ubaa8\ub378\uc740 \uc774\ubbf8\uc9c0\uc640 \ud14d\uc2a4\ud2b8 \uac04\uc758 \uc720\uc0ac\uc131\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. CLIP\uc740 \uc774\ubbf8\uc9c0 \uc778\ucf54\ub354\uc640 \ud14d\uc2a4\ud2b8 \uc778\ucf54\ub354\ub77c\ub294 \ub450 \uac00\uc9c0 \uc8fc \uc778\ucf54\ub354\ub97c \uc0ac\uc6a9\ud558\uba70, \ub458 \ub2e4 \uc11c\ub85c \ub2e4\ub978 \ubc29\uc2dd\uc73c\ub85c \uc785\ub825\uc744 \ucc98\ub9ac\ud569\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc774\ubbf8\uc9c0 \uc778\ucf54\ub354:<\/strong> CNN(Convolutional Neural Network) \ub610\ub294 \ube44\uc804 \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub97c \ud1b5\ud574 \uc774\ubbf8\uc9c0\ub97c \ubca1\ud130\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ud14d\uc2a4\ud2b8 \uc778\ucf54\ub354:<\/strong> BERT(Bidirectional Encoder Representations from Transformers)\uc640 \ube44\uc2b7\ud55c \uc544\ud0a4\ud14d\ucc98\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub97c \ubca1\ud130\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>2. CLIP \ubaa8\ub378 \uc124\uce58<\/h2>\n<p>\uc6b0\ub9ac\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec CLIP \ubaa8\ub378\uc5d0 \uc811\uadfc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574 \uba3c\uc800 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\ub294 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58 \uba85\ub839\uc5b4\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>!pip install transformers torch torchvision<\/code><\/pre>\n<h2>3. \ucf54\ub4dc \uc608\uc81c<\/h2>\n<p>\uc774\uc81c CLIP \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0 \ucea1\uc158\uc744 \uc608\uce21\ud558\ub294 Python \ucf54\ub4dc\ub97c \uc791\uc131\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\uc5d0\uc11c\ub294 \uc774\ubbf8\uc9c0 \ud30c\uc77c\uc744 \uc785\ub825\uc73c\ub85c \ubc1b\uace0, \ud574\ub2f9 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \ucea1\uc158 \ud6c4\ubcf4 \ubb38\uc7a5\ub4e4\uc744 \ubc14\ud0d5\uc73c\ub85c \uac00\uc7a5 \uc801\ud569\ud55c \ucea1\uc158\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/p>\n<h3>3.1 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uac00\uc838\uc624\uae30<\/h3>\n<pre><code>import torch\nfrom PIL import Image\nfrom transformers import CLIPProcessor, CLIPModel<\/code><\/pre>\n<h3>3.2 \ubaa8\ub378 \ubc0f \ud504\ub85c\uc138\uc11c \ucd08\uae30\ud654<\/h3>\n<pre><code>model = CLIPModel.from_pretrained(\"openai\/clip-vit-base-patch16\")\nprocessor = CLIPProcessor.from_pretrained(\"openai\/clip-vit-base-patch16\")<\/code><\/pre>\n<h3>3.3 \uc774\ubbf8\uc9c0\uc640 \ud14d\uc2a4\ud2b8 \ucc98\ub9ac\ud558\uae30<\/h3>\n<p>\uc6b0\ub9ac\ub294 \uc774\ubbf8\uc9c0\ub97c \ub85c\ub4dc\ud558\uace0, \uc5ec\ub7ec \ud6c4\ubcf4 \ucea1\uc158 \ubb38\uc7a5\uc744 \uc900\ube44\ud55c \ub4a4, \uc774\ub97c \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uc5ec \ucea1\uc158 \uc608\uce21\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/p>\n<pre><code># \uc774\ubbf8\uc9c0 \ub85c\ub4dc\nimage = Image.open(\"your_image.jpg\")\n\n# \ucea1\uc158 \ud6c4\ubcf4 \ub9ac\uc2a4\ud2b8\ncandidate_captions = [\n    \"\ud558\ub298\uc744 \ub098\ub294 \uc0c8\",\n    \"\uc0b0 \uc704\uc5d0 \uc790\ub9ac\ud55c \uc9d1\",\n    \"\ud587\ube5b \ube44\uce58\ub294 \ubc14\ub2e4\",\n    \"\ub208 \ub0b4\ub9ac\ub294 \uac70\ub9ac\"\n]\n\n# \ud14d\uc2a4\ud2b8\uc640 \uc774\ubbf8\uc9c0\ub97c \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uae30 \uc704\ud55c \ud504\ub85c\uc138\uc2f1\ninputs = processor(text=candidate_captions, images=image, return_tensors=\"pt\", padding=True)<\/code><\/pre>\n<h3>3.4 \ub2e4\uc911 \ucea1\uc158 \ubaa8\ub378 \uc608\uce21<\/h3>\n<p>\ubaa8\ub378\uc5d0 \uc785\ub825\ud55c \ud6c4, \uc720\uc0ac\ub3c4\ub97c \uacc4\uc0b0\ud558\uace0 \uac00\uc7a5 \ub192\uc740 \uc810\uc218\ub97c \uac00\uc9c4 \ucea1\uc158\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/p>\n<pre><code# #=\"\" best_caption=\"candidate_captions[best_caption_idx.item()]\" best_caption_idx=\"probs.argmax()\" code=\"\" logits_per_image=\"outputs.logits_per_image\" outputs=\"model(**inputs)\" print(f\"\uc608\uce21\ub41c=\"\" probs=\"logits_per_image.softmax(dim=1)\" torch.no_grad():=\"\" with=\"\" {best_caption}\")<=\"\" \uac00\uc7a5=\"\" \uac00\uc9c4=\"\" \ub192\uc740=\"\" \ubaa8\ub378=\"\" \ubcc0\ud658=\"\" \uc608\uce21=\"\" \uc720\uc0ac\ub3c4=\"\" \uc810\uc218=\"\" \ucd94\ucd9c=\"\" \ucea1\uc158=\"\" \ucea1\uc158:=\"\" \ud655\ub960\ub85c=\"\" \ud655\ub960\uc744=\"\"><\/code#><\/pre>\n<h2>4. \ucf54\ub4dc \uc124\uba85<\/h2>\n<p>\uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c \uc6b0\ub9ac\uac00 \uc218\ud589\ud558\ub294 \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc774\ubbf8\uc9c0 \ud30c\uc77c\uc744 \ub85c\ub4dc\ud558\uace0, \ud6c4\ubcf4 \ucea1\uc158 \ub9ac\uc2a4\ud2b8\ub97c \uc900\ube44\ud569\ub2c8\ub2e4.<\/li>\n<li>\uc774\ubbf8\uc9c0\uc640 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud558\uc5ec \ud504\ub85c\uc138\uc11c\uc5d0 \uc758\ud574 \uc0ac\uc804\ucc98\ub9ac\ub429\ub2c8\ub2e4.<\/li>\n<li>\ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uace0, \ucea1\uc158 \ud6c4\ubcf4\ub9c8\ub2e4\uc758 \uc720\uc0ac\ub3c4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/li>\n<li>\uacc4\uc0b0\ub41c \uc720\uc0ac\ub3c4 \uc810\uc218\uc5d0\uc11c \uac00\uc7a5 \ub192\uc740 \uac12\uc744 \uac00\uc9c4 \ucea1\uc158\uc744 \uc120\ud0dd\ud558\uc5ec \ucd9c\ub825\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>5. CLIP\uc758 \uc7a5\uc810\uacfc \uc751\uc6a9<\/h2>\n<p>CLIP \ubaa8\ub378\uc740 \ub2e4\uc591\ud55c \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc5d0\uc11c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911 \uc77c\ubd80\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc774\ubbf8\uc9c0 \uac80\uc0c9: \uc0ac\uc6a9\uc790\uac00 \uc785\ub825\ud55c \ud14d\uc2a4\ud2b8\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \uc774\ubbf8\uc9c0\ub97c \uac80\uc0c9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li>\ube44\ub514\uc624 \ucf58\ud150\uce20 \ubd84\uc11d: \ube44\ub514\uc624 \ud074\ub9bd\uc758 \ub0b4\uc6a9\uc5d0 \ub300\ud55c \uc790\ub3d9 \ucea1\uc158 \uc0dd\uc131 \ubc0f \uc694\uc57d\uc774 \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/li>\n<li>\uc2dc\uac01\uc801 \uc9c8\ubb38 \uc751\ub2f5: \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \uc9c8\ubb38\uc5d0 \ucd5c\uc801\uc758 \ub2f5\ubcc0\uc744 \uc81c\uacf5\ud558\ub294 \uc2dc\uc2a4\ud15c \uac1c\ubc1c\uc5d0 \ud65c\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>6. \uc2dc\uc0ac\uc810\uacfc \uacb0\ub860<\/h2>\n<p>CLIP \ubaa8\ub378\uc740 \ud14d\uc2a4\ud2b8\uc640 \uc774\ubbf8\uc9c0\ub97c \uacb0\ud569\ud558\uc5ec \ub354 \ub098\uc740 \uc774\ud574\ub97c \uc81c\uacf5\ud558\uba70, \uc774\ub7ec\ud55c \uc811\uadfc\ubc29\uc2dd\uc740 \ub2e4\uc591\ud55c \uc2e4\uc81c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub370\uc5d0 \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 CLIP \ubc0f \uc720\uc0ac\ud55c \ubaa8\ub378\ub4e4\uc740 \uc2dc\uac01\uc801 \uc778\uc2dd\uacfc \uc5b8\uc5b4 \uc774\ud574\uc758 \uc735\ud569\uc744 \ud1b5\ud574 \ub354\uc6b1 \ubc1c\uc804\ud560 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>\n<h2>7. \ucc38\uace0 \uc790\ub8cc<\/h2>\n<p>\ubaa8\ub378\uc5d0 \ub300\ud55c \ucd94\uac00 \uc815\ubcf4\uc640 \uc608\uc81c\ub294 [Hugging Face CLIP Documentation](https:\/\/huggingface.co\/docs\/transformers\/model_doc\/clip)\uc5d0\uc11c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ubb38\uc11c\ub97c \ud1b5\ud574 \ub2e4\uc591\ud55c \uc0ac\uc6a9 \uc0ac\ub840\uc640 \ubaa8\ub378\uc744 \ub354 \uae4a\uc774 \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc774 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec CLIP \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uace0, \uc774\ubbf8\uc9c0 \ucea1\uc158 \uc608\uce21\uc744 \uc2e4\uc81c\ub85c \uc218\ud589\ud574 \ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub525\ub7ec\ub2dd\uacfc \uc778\uacf5\uc9c0\ub2a5\uc758 \uc138\uacc4\ub294 \ud56d\uc0c1 \ubcc0\ud558\uace0 \uc131\uc7a5\ud558\uace0 \uc788\uc73c\uba70, \uacc4\uc18d\ud574\uc11c \uc0c8\ub85c\uc6b4 \uae30\uc220\ub4e4\uc774 \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c \uc6b0\ub9ac\uc758 \uc811\uadfc \ubc29\uc2dd\ub3c4 \ub354\uc6b1 \ucc3d\uc758\uc801\uc774 \ub420 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub525\ub7ec\ub2dd\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP), \uc774\ubbf8\uc9c0 \ucc98\ub9ac, \uc74c\uc131 \uc778\uc2dd \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud070 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4 CLIP(Contrastive Language\u2013Image Pretraining) \ubaa8\ub378\uc740 \uc774\ubbf8\uc9c0\uc640 \ud14d\uc2a4\ud2b8\ub97c \uc5f0\uacb0\ud558\ub294 \ud601\uc2e0\uc801\uc778 \uc811\uadfc\ubc95\uc785\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face) \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud558\uc5ec CLIP \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uace0, \uc774\ubbf8\uc9c0 \ucea1\uc158 \uc608\uce21 \uacb0\uacfc\ub97c \ub3c4\ucd9c\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. CLIP \ubaa8\ub378 \uc18c\uac1c CLIP \ubaa8\ub378\uc740 OpenAI\uc5d0\uc11c \uac1c\ubc1c\ud55c \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8\uc640 \uc774\ubbf8\uc9c0\ub97c \ub3d9\uc2dc\uc5d0 \ud559\uc2b5\ud558\uc5ec \uc11c\ub85c\uc758 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/29576\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, CLIP \ucea1\uc158 \uc608\uce21 \uacb0\uacfc&#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":[30],"tags":[],"class_list":["post-29576","post","type-post","status-publish","format-standard","hentry","category-30"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, CLIP \ucea1\uc158 \uc608\uce21 \uacb0\uacfc - \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\/29576\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, CLIP \ucea1\uc158 \uc608\uce21 \uacb0\uacfc - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ub525\ub7ec\ub2dd\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP), \uc774\ubbf8\uc9c0 \ucc98\ub9ac, \uc74c\uc131 \uc778\uc2dd \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud070 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8\uc911\uc5d0\uc11c\ub3c4 CLIP(Contrastive Language\u2013Image Pretraining) \ubaa8\ub378\uc740 \uc774\ubbf8\uc9c0\uc640 \ud14d\uc2a4\ud2b8\ub97c \uc5f0\uacb0\ud558\ub294 \ud601\uc2e0\uc801\uc778 \uc811\uadfc\ubc95\uc785\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face) \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud558\uc5ec CLIP \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uace0, \uc774\ubbf8\uc9c0 \ucea1\uc158 \uc608\uce21 \uacb0\uacfc\ub97c \ub3c4\ucd9c\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. 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