데이터셋 합치기.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"데이터셋 합치기.ipynb","provenance":[],"collapsed_sections":[],"mount_file_id":"16GPkxDB1nCKuArtTe0frdDwPd05TfVLc","authorship_tag":"ABX9TyPdKUoziOMAfj0Z6h1qqRY3"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"id":"_Rsvv5fWucEV","executionInfo":{"status":"ok","timestamp":1654577967246,"user_tz":-540,"elapsed":3253,"user":{"displayName":"문지영","userId":"17671481004354526232"}},"outputId":"ed1feff0-e50a-4b44-a2b2-66add9656f03"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'2.8.2'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":1}],"source":["import tensorflow as tf\n","tf.__version__"]},{"cell_type":"code","source":["import os, shutil, glob\n","\n","# 분할 데이터셋을 저장할 디렉터리\n","base_dir = '/content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/'\n","train_dir = os.path.join(base_dir, 'train/')\n","test_dir = os.path.join(base_dir, 'test/')\n","dataadd = '/content/drive/MyDrive/mynet/datasets/new/'"],"metadata":{"id":"4zgdQKAvNBI4","executionInfo":{"status":"ok","timestamp":1654577974565,"user_tz":-540,"elapsed":394,"user":{"displayName":"문지영","userId":"17671481004354526232"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["dataset_source = '/content/drive/Shareddrives/Deep Learning/2022-DL/'\n"],"metadata":{"id":"_wyOt4w_cZq0","executionInfo":{"status":"ok","timestamp":1654577978556,"user_tz":-540,"elapsed":405,"user":{"displayName":"문지영","userId":"17671481004354526232"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["for d in ['2차', 'JDATASET2', 'mydataset', 'Jdataset', '손글씨데이터', '3차']:\n","  dir = os.path.join(dataset_source, d)\n","  for i in range(10):\n","      fnames = os.listdir(dir+'/'+str(i)+\"/\")\n","      for fname in fnames:\n","        src = os.path.join(dir+'/'+str(i), fname)\n","        dst = os.path.join(train_dir+str(i), d+'_'+fname)\n","        shutil.copyfile(src, dst)"],"metadata":{"id":"KVGp7gSgc2pb","executionInfo":{"status":"ok","timestamp":1654578364458,"user_tz":-540,"elapsed":266756,"user":{"displayName":"문지영","userId":"17671481004354526232"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["# 각 데이터셋에서 train_dir로 복사\n","for d in ['train','validation','test']:\n","  for i in range(10):\n","      dir = os.path.join(dataadd, d)\n","      dir = os.path.join(dir, str(i))\n","      fnames = os.listdir(dir)\n","      for fname in fnames:\n","        src = os.path.join(dir, fname)\n","        dst = os.path.join(base_dir, 'train')\n","        dst = os.path.join(dst, str(i))\n","        dst = os.path.join(dst, d[:3]+'_new_'+fname)\n","        print(src, dst)\n","        shutil.copyfile(src, dst)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rZjtcYRuNSUt","executionInfo":{"status":"ok","timestamp":1654578572308,"user_tz":-540,"elapsed":62063,"user":{"displayName":"문지영","userId":"17671481004354526232"}},"outputId":"3a237efd-8d49-419c-9bc5-5be3accacf1d"},"execution_count":10,"outputs":[{"output_type":"stream","name":"stdout","text":["/content/drive/MyDrive/mynet/datasets/new/train/0/0-1.jpg /content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/train/0/tra_new_0-1.jpg\n","/content/drive/MyDrive/mynet/datasets/new/train/0/0-2.jpg /content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/train/0/tra_new_0-2.jpg\n","/content/drive/MyDrive/mynet/datasets/new/train/0/0-3.jpg /content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/train/0/tra_new_0-3.jpg\n","/content/drive/MyDrive/mynet/datasets/new/train/0/0-4.jpg /content/drive/Shareddrives/Deep 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Learning/2022-DL/OurDataset/train/9/tes_new_9-17.jpg\n","/content/drive/MyDrive/mynet/datasets/new/test/9/9-18.jpg /content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/train/9/tes_new_9-18.jpg\n","/content/drive/MyDrive/mynet/datasets/new/test/9/9-19.jpg /content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/train/9/tes_new_9-19.jpg\n","/content/drive/MyDrive/mynet/datasets/new/test/9/9-20.jpg /content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/train/9/tes_new_9-20.jpg\n"]}]},{"cell_type":"code","source":["\n","if os.path.exists(base_dir):\n","    shutil.rmtree(base_dir)\n","os.mkdir(base_dir)\n","\n","# 훈련, 검증, 테스트 분할을 위한 디렉터리\n","train_dir = os.path.join(base_dir, 'train/')\n","os.mkdir(train_dir)\n","test_dir = os.path.join(base_dir, 'test/')\n","os.mkdir(test_dir)\n","\n","# 레이블 디렉터리 생성\n","for i in range(10):\n","    train_label_dir = os.path.join(train_dir, str(i))\n","    test_label_dir = os.path.join(test_dir, str(i))\n","    os.mkdir(train_label_dir)\n","    os.mkdir(test_label_dir)\n","\n"],"metadata":{"id":"NLZE1MTRucyz","executionInfo":{"status":"ok","timestamp":1654578071370,"user_tz":-540,"elapsed":350,"user":{"displayName":"문지영","userId":"17671481004354526232"}}},"execution_count":5,"outputs":[]},{"cell_type":"code","source":["print('레이블 별 데이터 수')\n","for i in range(10):\n","  fnames = os.listdir(train_dir+str(i)+\"/\")\n","  print(i, len(fnames))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cNgZQdEO9WON","executionInfo":{"status":"ok","timestamp":1654578577017,"user_tz":-540,"elapsed":618,"user":{"displayName":"문지영","userId":"17671481004354526232"}},"outputId":"13a6d3a5-463e-48b6-ced1-0d846c850fa7"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["레이블 별 데이터 수\n","0 108\n","1 107\n","2 111\n","3 106\n","4 108\n","5 107\n","6 108\n","7 106\n","8 100\n","9 105\n"]}]},{"cell_type":"code","source":["import random\n","\n","for i in range(10):\n","  fnames = os.listdir(train_dir+str(i)+\"/\")\n","  #print(fnames)\n","  for f in random.sample(fnames, 20):\n","\n","    src = os.path.join(train_dir+str(i), f)\n","    dst = os.path.join(test_dir+str(i), f)\n","    print(src, dst)\n","    shutil.move(src, dst)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oxozsZLn9xOB","executionInfo":{"status":"ok","timestamp":1654578623619,"user_tz":-540,"elapsed":1274,"user":{"displayName":"문지영","userId":"17671481004354526232"}},"outputId":"bb262e28-512d-41fe-fdd4-79bcc41c538e"},"execution_count":14,"outputs":[{"output_type":"stream","name":"stdout","text":["/content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/train/0/tra_new_0-8.jpg /content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/test/0/tra_new_0-8.jpg\n","/content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/train/0/JDATASET2_0 (8).jpg /content/drive/Shareddrives/Deep Learning/2022-DL/OurDataset/test/0/JDATASET2_0 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len(fnames))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"YKACUdKC_NFU","executionInfo":{"status":"ok","timestamp":1654578688944,"user_tz":-540,"elapsed":459,"user":{"displayName":"문지영","userId":"17671481004354526232"}},"outputId":"9fa9316b-ffd3-4733-8561-ca0123b0450d"},"execution_count":15,"outputs":[{"output_type":"stream","name":"stdout","text":["트레이닝 데이터 수\n","0 88\n","1 87\n","2 91\n","3 86\n","4 88\n","5 87\n","6 88\n","7 86\n","8 80\n","9 85\n"]}]},{"cell_type":"code","source":["print('테스트 데이터 수')\n","for i in range(10):\n","  fnames = os.listdir(test_dir+str(i)+\"/\")\n","  print(i, len(fnames))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fbv5phKF_Ryy","executionInfo":{"status":"ok","timestamp":1654578709099,"user_tz":-540,"elapsed":339,"user":{"displayName":"문지영","userId":"17671481004354526232"}},"outputId":"fdcca05f-ff2e-4976-8df9-9cff75d830fc"},"execution_count":16,"outputs":[{"output_type":"stream","name":"stdout","text":["테스트 데이터 수\n","0 20\n","1 20\n","2 20\n","3 20\n","4 20\n","5 20\n","6 20\n","7 20\n","8 20\n","9 20\n"]}]}]}