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"}}},{"cell_type":"markdown","source":"# [목차]\n## 1. Setting Dataset\n## 2. Data Pre-Processing\n## 3. Prepare Model\n##    - Callback\n##    - Prepare Data\n##    - Generator\n## 4. Processing Model\n## 5. Final Model\n##    - Fit Model\n## 6. Predict","metadata":{}},{"cell_type":"markdown","source":"# 1. Setting Dataset","metadata":{}},{"cell_type":"markdown","source":"## Import Library","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nfrom keras.preprocessing.image import ImageDataGenerator, load_img\nfrom keras.utils import to_categorical\nfrom sklearn.model_selection import train_test_split\nimport matplotlib.pyplot as plt\nimport random\nimport zipfile\nimport os\nprint(os.listdir(\"../input/dogs-vs-cats\"))","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-06-02T04:25:37.158453Z","iopub.execute_input":"2021-06-02T04:25:37.158803Z","iopub.status.idle":"2021-06-02T04:25:37.166548Z","shell.execute_reply.started":"2021-06-02T04:25:37.158774Z","shell.execute_reply":"2021-06-02T04:25:37.165661Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Dataset 가져오기","metadata":{}},{"cell_type":"code","source":"# zip파일 압축해제하기\nwith zipfile.ZipFile(\"/kaggle/input/dogs-vs-cats/train.zip\",\"r\") as z:\n    z.extractall(\".\")\n    \nwith zipfile.ZipFile(\"/kaggle/input/dogs-vs-cats/test1.zip\",\"r\") as z:\n    z.extractall(\".\")","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:37.198250Z","iopub.execute_input":"2021-06-02T04:25:37.198490Z","iopub.status.idle":"2021-06-02T04:25:55.208761Z","shell.execute_reply.started":"2021-06-02T04:25:37.198466Z","shell.execute_reply":"2021-06-02T04:25:55.207954Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Dataset count\nprint(len(os.listdir('/kaggle/working/train')), 'training data')\nprint(len(os.listdir('/kaggle/working/test1')), 'test data')","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.210119Z","iopub.execute_input":"2021-06-02T04:25:55.210446Z","iopub.status.idle":"2021-06-02T04:25:55.234725Z","shell.execute_reply.started":"2021-06-02T04:25:55.210410Z","shell.execute_reply":"2021-06-02T04:25:55.233823Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 2. Data Pre-Processing","metadata":{}},{"cell_type":"markdown","source":"## Prepare Training Data","metadata":{}},{"cell_type":"code","source":"os.listdir(\"/kaggle/working/train\")[:5]","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.236423Z","iopub.execute_input":"2021-06-02T04:25:55.236754Z","iopub.status.idle":"2021-06-02T04:25:55.256205Z","shell.execute_reply.started":"2021-06-02T04:25:55.236720Z","shell.execute_reply":"2021-06-02T04:25:55.255318Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> #### Training data에 대해 dogs->1, cats->0 에 대한 각 레이블 생성한다.","metadata":{}},{"cell_type":"code","source":"filenames = os.listdir(\"/kaggle/working/train\")\ncategories = []\nfor filename in filenames:\n    category = filename.split('.')[0]\n    if category == 'dog':       # dog면 1\n        categories.append(1)\n    else:                       # cat이면 0\n        categories.append(0)\n\ndf = pd.DataFrame({\n    'filename': filenames,\n    'category': categories\n})","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.257625Z","iopub.execute_input":"2021-06-02T04:25:55.257966Z","iopub.status.idle":"2021-06-02T04:25:55.298941Z","shell.execute_reply.started":"2021-06-02T04:25:55.257919Z","shell.execute_reply":"2021-06-02T04:25:55.298243Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.300214Z","iopub.execute_input":"2021-06-02T04:25:55.300607Z","iopub.status.idle":"2021-06-02T04:25:55.320429Z","shell.execute_reply.started":"2021-06-02T04:25:55.300568Z","shell.execute_reply":"2021-06-02T04:25:55.319349Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## See Total In Conut","metadata":{}},{"cell_type":"code","source":"# category에 분류된 dog, cat의 수 보기\ndf['category'].replace({0: 'cat', 1:'dog'}).value_counts()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.321846Z","iopub.execute_input":"2021-06-02T04:25:55.322234Z","iopub.status.idle":"2021-06-02T04:25:55.337859Z","shell.execute_reply.started":"2021-06-02T04:25:55.322195Z","shell.execute_reply":"2021-06-02T04:25:55.336984Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 시각화해보기\ndf['category'].value_counts().plot.bar()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.338983Z","iopub.execute_input":"2021-06-02T04:25:55.339307Z","iopub.status.idle":"2021-06-02T04:25:55.473743Z","shell.execute_reply.started":"2021-06-02T04:25:55.339275Z","shell.execute_reply":"2021-06-02T04:25:55.472842Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## See Sample Image","metadata":{}},{"cell_type":"code","source":"sample = random.choice(filenames) # filenames로 되어있는 경로의 파일 중 램덤으로 1개 선택\nimage = load_img(\"/kaggle/working/train/\" +sample) # 랜덤으로 선택된 파일의 이름 가져오기\nplt.imshow(image) # 가져온 파일 이미지화","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.476384Z","iopub.execute_input":"2021-06-02T04:25:55.476706Z","iopub.status.idle":"2021-06-02T04:25:55.622910Z","shell.execute_reply.started":"2021-06-02T04:25:55.476674Z","shell.execute_reply":"2021-06-02T04:25:55.622088Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 3. Prepare Model\n> ### Callback, Prepare Data, Generator","metadata":{}},{"cell_type":"markdown","source":"## 1) Callback\n> #### Callback(EarlyStopping, ReduceLROnPlateau)\n\n> #### EarlyStopping - Early Stop\n> - 과적합을 방지하기 위해 val_loss 값을 감소시키지 않은 상태로 n epoch 후에 학습을 정지시킨다.\n>\n> #### ReduceLRonPlateau - Learning Rate Reduction\n> - n epoch 동안 val_acc가 증가하지 않으면 학습률을 감소시킨다.","metadata":{}},{"cell_type":"code","source":"# 학습 조기종료를 사용하기 위해 import \nfrom keras.callbacks import EarlyStopping, ReduceLROnPlateau\n\nearlystop = EarlyStopping(patience=15) # 학습 조기종료\n# ㄴ overfitting을 막기 위해 15epoch 만큼 올라가 볼 때 val_loss 값이 감소하지 않으면 학습을 중단 ","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.624488Z","iopub.execute_input":"2021-06-02T04:25:55.624789Z","iopub.status.idle":"2021-06-02T04:25:55.629282Z","shell.execute_reply.started":"2021-06-02T04:25:55.624758Z","shell.execute_reply":"2021-06-02T04:25:55.628368Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"learning_rate_reduction = ReduceLROnPlateau(\n    monitor = 'val_acc', # ReduceLROnPlateau의 기준이 되는 값 : val_acc \n    patience = 2,        # 학습률이 감소한 후 개선되지 않은 epoch 수,\n                         # Training이 진행됨에도 더이상 monitor되는 값의 개선이 없을 경우 몇 번의 epoch을 진행하고 learning rate를 조정할지 정한다.\n    verbose = 1,         # 얼마나 자세하게 정보를 표시할 것인가를 지정(0, 1, 2)\n                         # 0 : 화면에 나타냄 없이 종료 \n                         # 1 : EarlyStopping이 적용될 때 화면에 적용되었다고 나타남 \n    factor = 0.5,        # Learning rate를 얼마나 감소시킬 지 정하는 인자 값  \n                         # - ( 새로운 learning rate = 기존 learning rate * factor )\n    min_lr = 0.00001     # 학습률의 하한선\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.630753Z","iopub.execute_input":"2021-06-02T04:25:55.631119Z","iopub.status.idle":"2021-06-02T04:25:55.638898Z","shell.execute_reply.started":"2021-06-02T04:25:55.631084Z","shell.execute_reply":"2021-06-02T04:25:55.638009Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"callbacks = [earlystop, learning_rate_reduction]","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.640333Z","iopub.execute_input":"2021-06-02T04:25:55.640763Z","iopub.status.idle":"2021-06-02T04:25:55.647237Z","shell.execute_reply.started":"2021-06-02T04:25:55.640719Z","shell.execute_reply":"2021-06-02T04:25:55.646510Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 2) Prepare Data","metadata":{}},{"cell_type":"code","source":"# 현재 category의 형태 : 정수형\ndf.head()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.650023Z","iopub.execute_input":"2021-06-02T04:25:55.650294Z","iopub.status.idle":"2021-06-02T04:25:55.662286Z","shell.execute_reply.started":"2021-06-02T04:25:55.650271Z","shell.execute_reply":"2021-06-02T04:25:55.661401Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> #### 아래에 나오는 Generator 에서 class_mode = 'categorical' 를 사용할 예정이므로 문자열로 바꿔줘야 한다. ( 1 -> dog, 0 -> cat )","metadata":{}},{"cell_type":"code","source":"# 현재 0과 1로 표기 -> cat과 dog로 변경\ndf['category'] = df['category'].replace({0: 'cat', 1: 'dog'})\n\ndf.head() # 변경됐는지 확인","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.664110Z","iopub.execute_input":"2021-06-02T04:25:55.664470Z","iopub.status.idle":"2021-06-02T04:25:55.678242Z","shell.execute_reply.started":"2021-06-02T04:25:55.664437Z","shell.execute_reply":"2021-06-02T04:25:55.677340Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# train과 vaild, temp_test 분류\ntrain_valid_df, temp_test_df = train_test_split(df, test_size=0.02, random_state=42) # test_size = 0.02 : 전체 데이터의 2%를 검증용 데이터로 만든다.\ntrain_df, valid_df = train_test_split(train_valid_df, test_size=0.2, random_state=42) # test_size = 0.2 : 위의 2%를 빼고 나머지 98% 데이터에서 20%는 valid, 80%는 train data로 생성 \n\ntrain_df = train_df.reset_index(drop=True)\nvalid_df = valid_df.reset_index(drop=True)\ntemp_test_df = temp_test_df.reset_index(drop=True)\n\ntrain_df.shape, valid_df.shape, temp_test_df.shape","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.679474Z","iopub.execute_input":"2021-06-02T04:25:55.679908Z","iopub.status.idle":"2021-06-02T04:25:55.695177Z","shell.execute_reply.started":"2021-06-02T04:25:55.679870Z","shell.execute_reply":"2021-06-02T04:25:55.694219Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_df","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.696456Z","iopub.execute_input":"2021-06-02T04:25:55.696791Z","iopub.status.idle":"2021-06-02T04:25:55.707552Z","shell.execute_reply.started":"2021-06-02T04:25:55.696758Z","shell.execute_reply":"2021-06-02T04:25:55.706548Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_df['category'].value_counts()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.709056Z","iopub.execute_input":"2021-06-02T04:25:55.709489Z","iopub.status.idle":"2021-06-02T04:25:55.721607Z","shell.execute_reply.started":"2021-06-02T04:25:55.709454Z","shell.execute_reply":"2021-06-02T04:25:55.720806Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"valid_df","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.723026Z","iopub.execute_input":"2021-06-02T04:25:55.723405Z","iopub.status.idle":"2021-06-02T04:25:55.736226Z","shell.execute_reply.started":"2021-06-02T04:25:55.723370Z","shell.execute_reply":"2021-06-02T04:25:55.735316Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"valid_df['category'].value_counts()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.737526Z","iopub.execute_input":"2021-06-02T04:25:55.737866Z","iopub.status.idle":"2021-06-02T04:25:55.746130Z","shell.execute_reply.started":"2021-06-02T04:25:55.737832Z","shell.execute_reply":"2021-06-02T04:25:55.745160Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"total_train = train_df.shape[0]\ntotal_validate = valid_df.shape[0]\ntotal_temp_test = temp_test_df.shape[0]","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.747636Z","iopub.execute_input":"2021-06-02T04:25:55.748096Z","iopub.status.idle":"2021-06-02T04:25:55.754906Z","shell.execute_reply.started":"2021-06-02T04:25:55.748058Z","shell.execute_reply":"2021-06-02T04:25:55.753860Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(total_train, ',', total_validate, ',', total_temp_test)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.756183Z","iopub.execute_input":"2021-06-02T04:25:55.756600Z","iopub.status.idle":"2021-06-02T04:25:55.764885Z","shell.execute_reply.started":"2021-06-02T04:25:55.756566Z","shell.execute_reply":"2021-06-02T04:25:55.763997Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 3) Generator (Data Augmentation)","metadata":{}},{"cell_type":"code","source":"IMAGE_WIDTH = 128                        # 이미지 너비(행)\nIMAGE_HEIGHT = 128                       # 이미지 높이 (열)\nIMAGE_SIZE = (IMAGE_WIDTH, IMAGE_HEIGHT) # 이미지 크기\nIMAGE_CHANNELS = 3                       # 이미지 channel(깊이)\nbatch_size = 32","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.766081Z","iopub.execute_input":"2021-06-02T04:25:55.766694Z","iopub.status.idle":"2021-06-02T04:25:55.773777Z","shell.execute_reply.started":"2021-06-02T04:25:55.766659Z","shell.execute_reply":"2021-06-02T04:25:55.772965Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 신경망 모델의 성능을 높이기 위한 데이터 부풀리기(Data augmentation) - Overfitting 방지 방법\ntrain_datagen = ImageDataGenerator( # ImageDataGenerator : 학습 도중에 이미지에 임의 변형 및 정규화\n    rotation_range = 15,            # 지정된 각도(0 ~ 15) 범위내에서 임의로 원본이미지를 회전시킨다.\n    rescale = 1./255,               # 1/255로 스케일링하여 0-1 범위로 변환시켜줌\n    # ㄴ 원본 영상 0-255의 RGB 계수로 구성되는 입력값은 모델을 효과적으로 학습시키기에 너무 높다.\n    shear_range = 0.1,              # 층밀리기 강도 (범위 내에서 층을 반시계방향으로 민다.)\n    zoom_range = 0.2,               # 임의로 원본이미지를 확대/축소\n    horizontal_flip = True,         # 좌우 반전 : 50% 확률로 이미지를 수평으로 뒤집는다.\n    width_shift_range = 0.1,        # 수평방향 이동 범위내에서 임의로 원본이미지를 이동시킴 - 전체 너비의 비율을 나타냄\n    height_shift_range = 0.1        # 수직방향 이동 범위내에서 임의로 원본이미지를 이동시킴 - 전체 높이의 비율을 나타냄\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.776706Z","iopub.execute_input":"2021-06-02T04:25:55.776978Z","iopub.status.idle":"2021-06-02T04:25:55.783589Z","shell.execute_reply.started":"2021-06-02T04:25:55.776956Z","shell.execute_reply":"2021-06-02T04:25:55.782729Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## See how our generator work","metadata":{}},{"cell_type":"code","source":"example_df = train_df.sample(n=1).reset_index(drop=True) # train set인 train_df에서 n=1개를 sample 함\nexample_generator = train_datagen.flow_from_dataframe(\n    example_df, # dataframe\n    \"./train/\", # 디렉토리 위치\n    x_col = 'filename',\n    y_col = 'category',\n    target_size = IMAGE_SIZE,\n    class_mode = 'categorical'\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.787753Z","iopub.execute_input":"2021-06-02T04:25:55.788095Z","iopub.status.idle":"2021-06-02T04:25:55.811247Z","shell.execute_reply.started":"2021-06-02T04:25:55.788071Z","shell.execute_reply":"2021-06-02T04:25:55.810439Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> #### 카테고리 별로 분류하기 위해 class_mode를 categorical로 사용\n> * #### 0 -> cat, 1 -> dog\n\n<br>\n\n> #### class_mode ( default : categorical )\n> * #### binary : 1D numpy array of binary labels (binary 레이블의 1D numpy 배열 )\n> * #### categorical : 2D numpy array of one-hot-encoding labels. ( One-Hot-Encoding 된 레이블의 2D numpy 배열 ) -> 자동으로 원-핫-인코딩 수행\n> * #### sparse : 1D numpy array of integer labels ( 정수 레이블의 1D numpy 배열 )\n> * #### input : images identical to input images ( 입력 이미지와 동일한 이미지 )\n","metadata":{"execution":{"iopub.status.busy":"2021-05-28T04:36:20.784034Z","iopub.execute_input":"2021-05-28T04:36:20.784402Z","iopub.status.idle":"2021-05-28T04:36:20.796146Z","shell.execute_reply.started":"2021-05-28T04:36:20.784363Z","shell.execute_reply":"2021-05-28T04:36:20.794808Z"}}},{"cell_type":"code","source":"# sample 된 데이터 확인\nexample_df","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.813022Z","iopub.execute_input":"2021-06-02T04:25:55.813350Z","iopub.status.idle":"2021-06-02T04:25:55.822527Z","shell.execute_reply.started":"2021-06-02T04:25:55.813317Z","shell.execute_reply":"2021-06-02T04:25:55.821407Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"image = load_img(\"./train/\" +example_df['filename'][0]) # example_df의 원본 이미지 보기\nplt.imshow(image) # 가져온 파일 이미지화","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.824047Z","iopub.execute_input":"2021-06-02T04:25:55.824453Z","iopub.status.idle":"2021-06-02T04:25:55.982718Z","shell.execute_reply.started":"2021-06-02T04:25:55.824417Z","shell.execute_reply":"2021-06-02T04:25:55.981754Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(12, 12)) # plot 출력 크기 설정\nfor i in range(0, 15):       # 총 15개의 이미지를 출력\n    plt.subplot(5, 3, i+1)   # 이미지 출력 위치 설정\n    for x_batch, y_batch in example_generator: # exaple_generator를 통해 원본 이미지 변형\n        image = x_batch[0]\n        plt.imshow(image)\n        break\n\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:55.984115Z","iopub.execute_input":"2021-06-02T04:25:55.984432Z","iopub.status.idle":"2021-06-02T04:25:57.839764Z","shell.execute_reply.started":"2021-06-02T04:25:55.984398Z","shell.execute_reply":"2021-06-02T04:25:57.838803Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# dataframe 과 디렉토리의 위치를 전달받아 증강/정규화된 데이터의 배치를 생성\ntrain_generator = train_datagen.flow_from_dataframe( # 데이터프레임을 불러오는 함수\n    train_df,                                        # 아까 split한 train dataframe\n    \"./train/\",                                      # 전체 data가 있는 디렉토리 경로\n    x_col = 'filename',                              # train_df DataFrame에 filename col의 값들을 가져옴\n    y_col = 'category',                              # train_df DataFrame에 category col의 값들을 가져옴\n    target_size = IMAGE_SIZE,                        # 모든 이미지의 크기를 재조정할 치수 - 디폴트 값(256, 256)\n    class_mode = 'categorical', \n    batch_size = batch_size\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:57.841249Z","iopub.execute_input":"2021-06-02T04:25:57.841572Z","iopub.status.idle":"2021-06-02T04:25:58.021988Z","shell.execute_reply.started":"2021-06-02T04:25:57.841539Z","shell.execute_reply":"2021-06-02T04:25:58.021013Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"validation_datagen = ImageDataGenerator(rescale=1./255)\nvalidation_generator = validation_datagen.flow_from_dataframe(\n    valid_df, \n    \"/kaggle/working/train/\", \n    x_col='filename',\n    y_col='category',\n    target_size=IMAGE_SIZE,\n    class_mode='categorical',\n    batch_size=batch_size\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:58.023371Z","iopub.execute_input":"2021-06-02T04:25:58.023719Z","iopub.status.idle":"2021-06-02T04:25:58.078023Z","shell.execute_reply.started":"2021-06-02T04:25:58.023683Z","shell.execute_reply":"2021-06-02T04:25:58.077088Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 4. Processing Model\n## PPT 참고","metadata":{}},{"cell_type":"markdown","source":"# 5. Final Model","metadata":{}},{"cell_type":"code","source":"from keras.models import Sequential\nfrom keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D, Dropout, Dense, Activation, BatchNormalization\n\n\nmodel = Sequential()\n\n# block 1 ( VGGNet 구현 3*3 레이어 추가 )\nmodel.add(Conv2D(32, (3, 3), input_shape=(IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS)))  # (126, 126, 32)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu')) \n\nmodel.add(Conv2D(64, (3, 3), strides=2))  # (62, 62, 64)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu'))\n\n\n# block 2\nmodel.add(Conv2D(64, (3, 3)))  # (60, 60, 64)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu')) \n\nmodel.add(Conv2D(128, (3, 3), strides=2))  # (29, 29, 128)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu'))\n\n\n# block 3\nmodel.add(Conv2D(128, (3, 3)))  # (27, 27, 128)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu')) \n\nmodel.add(Conv2D(256, (3, 3), strides=2))  # (13, 13, 256)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu')) \n\n\n# block 4\nmodel.add(Conv2D(256, (3, 3)))  # (11, 11, 256)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu')) \n\nmodel.add(Conv2D(512, (3, 3), strides=2))  # (5, 5, 512)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu')) \n\n\n# block 5\nmodel.add(Conv2D(512, (3, 3)))  # (3, 3, 512)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu')) \n\nmodel.add(Conv2D(1024, (3, 3), strides=2))  # (1, 1, 1024)\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu')) \n\n# Output\nmodel.add(GlobalAveragePooling2D()) # Flatten 대신 GAP 사용 (GoogleNet 논문 적용, 과적합 방지 효과)\n\nmodel.add(Dense(1024))\nmodel.add(BatchNormalization())\nmodel.add(Activation('relu'))\nmodel.add(Dropout(0.25))\nmodel.add(Dense(2, activation='softmax'))  # cat and dog classes\n\nmodel.compile(loss='categorical_crossentropy', optimizer='nadam', metrics=['accuracy'])\n\nmodel.summary()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:25:58.079327Z","iopub.execute_input":"2021-06-02T04:25:58.079715Z","iopub.status.idle":"2021-06-02T04:26:00.581907Z","shell.execute_reply.started":"2021-06-02T04:25:58.079672Z","shell.execute_reply":"2021-06-02T04:26:00.580610Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![image.png](attachment:029dc9f6-655e-4145-9803-5c9ae1d8c022.png)","metadata":{},"attachments":{"029dc9f6-655e-4145-9803-5c9ae1d8c022.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"> ### Optimizer : 학습 속도를 빠르고 안정적이게 하는 방법\n> - 방향성 고려\n>   - Momentum\n>   - NAG\n> - 스텝 사이즈 고려\n>   - Adagrad\n>   - RMSProp\n>   - AdaDelta\n> - 방향성 + 스텝사이즈\n>   - Adam ( Momentum + RMSProp )\n>   - Nadam ( NAG + Adam )\n>     - 스텝 방향 : 최대한 일직선 (휘지 않도록)\n>     - 스텝 속도 : 최대한 빠르게","metadata":{}},{"cell_type":"markdown","source":"## Fit Model","metadata":{}},{"cell_type":"code","source":"epochs = 30\nhistory = model.fit(\n    train_generator,\n    epochs = epochs,\n    validation_data = validation_generator,\n    validation_steps = total_validate // batch_size,\n    steps_per_epoch = total_train//batch_size,\n    callbacks = callbacks\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T04:26:00.583192Z","iopub.execute_input":"2021-06-02T04:26:00.583511Z","iopub.status.idle":"2021-06-02T05:26:58.078677Z","shell.execute_reply.started":"2021-06-02T04:26:00.583475Z","shell.execute_reply":"2021-06-02T05:26:58.077783Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Virtualize Training","metadata":{}},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 12))\nax1.plot(history.history['loss'], color='b', label='Training loss')\nax1.plot(history.history['val_loss'], color='r', label='Validation loss')\nax1.set_xticks(np.arange(1, epochs, 1))\nax1.set_yticks(np.arange(0, 1, 0.1))\n\nax2.plot(history.history['accuracy'], color='b', label='Training accuracy')\nax2.plot(history.history['val_accuracy'], color='r', label='Validation accuracy')\nax2.set_xticks(np.arange(1, epochs, 1))\n\nlegend = plt.legend(loc='best', shadow=True)\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:26:58.080318Z","iopub.execute_input":"2021-06-02T05:26:58.080671Z","iopub.status.idle":"2021-06-02T05:26:58.587814Z","shell.execute_reply.started":"2021-06-02T05:26:58.080628Z","shell.execute_reply":"2021-06-02T05:26:58.587032Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Save Model","metadata":{}},{"cell_type":"code","source":"model.save_weights('model.h5')","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:26:58.589070Z","iopub.execute_input":"2021-06-02T05:26:58.589396Z","iopub.status.idle":"2021-06-02T05:26:58.709326Z","shell.execute_reply.started":"2021-06-02T05:26:58.589361Z","shell.execute_reply":"2021-06-02T05:26:58.708517Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 6. Predict","metadata":{}},{"cell_type":"markdown","source":"## Predict Target Data","metadata":{}},{"cell_type":"code","source":"# test data\ntemp_test_datagen = ImageDataGenerator(rescale=1./255)\ntemp_test_generator = temp_test_datagen.flow_from_dataframe(\n    temp_test_df, \n    \"/kaggle/working/train/\", \n    x_col='filename',\n    y_col='category',\n    target_size=IMAGE_SIZE,\n    class_mode='categorical',\n    batch_size=batch_size,\n    shuffle=False\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:26:58.710641Z","iopub.execute_input":"2021-06-02T05:26:58.710998Z","iopub.status.idle":"2021-06-02T05:26:58.729223Z","shell.execute_reply.started":"2021-06-02T05:26:58.710961Z","shell.execute_reply":"2021-06-02T05:26:58.728060Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"predict = model.predict(\n    temp_test_generator, # temp_test_generator : 입력 샘플의 batch를 생성하는 생성기\n    steps = np.ceil(total_temp_test/batch_size) # np.ceil : 올림, 중지되기 전까지 generator로 부터 얻는 단계의 총 갯수\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:26:58.730590Z","iopub.execute_input":"2021-06-02T05:26:58.730937Z","iopub.status.idle":"2021-06-02T05:27:00.234432Z","shell.execute_reply.started":"2021-06-02T05:26:58.730889Z","shell.execute_reply":"2021-06-02T05:27:00.233585Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"temp_test_df['predict'] = np.argmax(predict, axis=-1)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:00.235750Z","iopub.execute_input":"2021-06-02T05:27:00.236100Z","iopub.status.idle":"2021-06-02T05:27:00.243800Z","shell.execute_reply.started":"2021-06-02T05:27:00.236063Z","shell.execute_reply":"2021-06-02T05:27:00.243002Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"temp_test_df","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:00.245008Z","iopub.execute_input":"2021-06-02T05:27:00.245541Z","iopub.status.idle":"2021-06-02T05:27:00.264946Z","shell.execute_reply.started":"2021-06-02T05:27:00.245504Z","shell.execute_reply":"2021-06-02T05:27:00.264175Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"label_map = dict((v,k) for k,v in train_generator.class_indices.items())  # {0: 'cat', 1: 'dog'}\n\n\ntemp_test_df['category'] = temp_test_df['category'].replace(label_map)\ntemp_test_df['category'] = temp_test_df['category'].replace({ 'dog': 1, 'cat': 0 })","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:00.266287Z","iopub.execute_input":"2021-06-02T05:27:00.266684Z","iopub.status.idle":"2021-06-02T05:27:00.276946Z","shell.execute_reply.started":"2021-06-02T05:27:00.266649Z","shell.execute_reply":"2021-06-02T05:27:00.276143Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"temp_test_df[0:100]","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:00.279801Z","iopub.execute_input":"2021-06-02T05:27:00.280133Z","iopub.status.idle":"2021-06-02T05:27:00.294306Z","shell.execute_reply.started":"2021-06-02T05:27:00.280106Z","shell.execute_reply":"2021-06-02T05:27:00.293479Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"accuracy_count = 0  # 정답 맞춘 개수\n\nfor i in range(total_temp_test):\n    \n    accuracy_count += ( temp_test_df['category'][i] == temp_test_df['predict'][i] )\n\nprint('정답일 확률 : {:.3f}'. format(float(accuracy_count/total_temp_test)))\nprint('정답 맞춘 개수 : 500개 중 {}개'.format(accuracy_count))","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:00.295384Z","iopub.execute_input":"2021-06-02T05:27:00.295723Z","iopub.status.idle":"2021-06-02T05:27:00.316447Z","shell.execute_reply.started":"2021-06-02T05:27:00.295690Z","shell.execute_reply":"2021-06-02T05:27:00.315622Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"check = temp_test_df.head(12)\ncheck.head()\nplt.figure(figsize=(12, 24))\nfor index, row in check.iterrows():\n    filename = row['filename']\n    category = row['category']\n    img = load_img(\"/kaggle/working/train/\"+filename, target_size=IMAGE_SIZE)\n    plt.subplot(6, 3, index+1)\n    plt.imshow(img)\n    plt.xlabel(filename + '(' + \"{}\".format(category) + ')' )\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:00.317658Z","iopub.execute_input":"2021-06-02T05:27:00.317995Z","iopub.status.idle":"2021-06-02T05:27:02.406806Z","shell.execute_reply.started":"2021-06-02T05:27:00.317962Z","shell.execute_reply":"2021-06-02T05:27:02.405834Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Predict Test Data","metadata":{}},{"cell_type":"code","source":"test_filenames = os.listdir(\"/kaggle/working/test1\")\ntest_df = pd.DataFrame(\n    {'filename': test_filenames}\n)\ntest = test_df.shape[0]","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:02.408278Z","iopub.execute_input":"2021-06-02T05:27:02.408661Z","iopub.status.idle":"2021-06-02T05:27:02.424573Z","shell.execute_reply.started":"2021-06-02T05:27:02.408621Z","shell.execute_reply":"2021-06-02T05:27:02.423422Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:02.425917Z","iopub.execute_input":"2021-06-02T05:27:02.426287Z","iopub.status.idle":"2021-06-02T05:27:02.431468Z","shell.execute_reply.started":"2021-06-02T05:27:02.426249Z","shell.execute_reply":"2021-06-02T05:27:02.430676Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:02.432744Z","iopub.execute_input":"2021-06-02T05:27:02.433133Z","iopub.status.idle":"2021-06-02T05:27:02.451797Z","shell.execute_reply.started":"2021-06-02T05:27:02.433099Z","shell.execute_reply":"2021-06-02T05:27:02.450914Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# test data\ntest_datagen = ImageDataGenerator(rescale=1./255)\ntest_generator = test_datagen.flow_from_dataframe(\n    test_df, \n    \"/kaggle/working/test1/\", \n    x_col='filename',\n    y_col=None,\n    target_size=IMAGE_SIZE,\n    class_mode=None,\n    batch_size=batch_size,\n    shuffle=False\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:02.453184Z","iopub.execute_input":"2021-06-02T05:27:02.453522Z","iopub.status.idle":"2021-06-02T05:27:02.560340Z","shell.execute_reply.started":"2021-06-02T05:27:02.453487Z","shell.execute_reply":"2021-06-02T05:27:02.559514Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"predict2 = model.predict(\n    test_generator, # test_generator : 입력 샘플의 batch를 생성하는 생성기\n    steps = np.ceil(test/batch_size) # np.ceil : 올림, 중지되기 전까지 generator로 부터 얻는 단계의 총 갯수\n)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:02.561526Z","iopub.execute_input":"2021-06-02T05:27:02.561856Z","iopub.status.idle":"2021-06-02T05:27:31.280167Z","shell.execute_reply.started":"2021-06-02T05:27:02.561821Z","shell.execute_reply":"2021-06-02T05:27:31.279287Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df['predict'] = np.argmax(predict2, axis=-1)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:31.281527Z","iopub.execute_input":"2021-06-02T05:27:31.282099Z","iopub.status.idle":"2021-06-02T05:27:31.287623Z","shell.execute_reply.started":"2021-06-02T05:27:31.282061Z","shell.execute_reply":"2021-06-02T05:27:31.286842Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:31.289060Z","iopub.execute_input":"2021-06-02T05:27:31.289675Z","iopub.status.idle":"2021-06-02T05:27:31.304430Z","shell.execute_reply.started":"2021-06-02T05:27:31.289638Z","shell.execute_reply":"2021-06-02T05:27:31.303624Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"label_map = dict((v,k) for k,v in train_generator.class_indices.items())  # {0: 'cat', 1: 'dog'}\n\n\ntest_df['predict'] = test_df['predict'].replace(label_map)\ntest_df['predict'] = test_df['predict'].replace({ 'dog': 1, 'cat': 0 })","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:31.306522Z","iopub.execute_input":"2021-06-02T05:27:31.306805Z","iopub.status.idle":"2021-06-02T05:27:31.323838Z","shell.execute_reply.started":"2021-06-02T05:27:31.306781Z","shell.execute_reply":"2021-06-02T05:27:31.323143Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df[0:100]","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:27:31.325590Z","iopub.execute_input":"2021-06-02T05:27:31.325906Z","iopub.status.idle":"2021-06-02T05:27:31.337911Z","shell.execute_reply.started":"2021-06-02T05:27:31.325873Z","shell.execute_reply":"2021-06-02T05:27:31.337070Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Submission","metadata":{}},{"cell_type":"code","source":"submission_df = test_df.copy()\nsubmission_df['id'] = submission_df['filename'].str.split('.').str[0]\nsubmission_df['label'] = submission_df['predict']\nsubmission_df.drop(['filename', 'predict'], axis=1, inplace=True)\nsubmission_df.to_csv('submission_final.csv', index=False)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:31:14.945527Z","iopub.execute_input":"2021-06-02T05:31:14.945840Z","iopub.status.idle":"2021-06-02T05:31:15.211016Z","shell.execute_reply.started":"2021-06-02T05:31:14.945811Z","shell.execute_reply":"2021-06-02T05:31:15.210178Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission_df.head(10)","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:31:15.372115Z","iopub.execute_input":"2021-06-02T05:31:15.372419Z","iopub.status.idle":"2021-06-02T05:31:15.384341Z","shell.execute_reply.started":"2021-06-02T05:31:15.372391Z","shell.execute_reply":"2021-06-02T05:31:15.383067Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"check = test_df.head(12)\ncheck.head()\nplt.figure(figsize=(12, 24))\nfor index, row in check.iterrows():\n    filename = row['filename']\n    category = row['predict']\n    img = load_img(\"/kaggle/working/test1/\"+filename, target_size=IMAGE_SIZE)\n    plt.subplot(6, 3, index+1)\n    plt.imshow(img)\n    plt.xlabel(filename + '(' + \"{}\".format(category) + ')' )\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-06-02T05:31:20.874345Z","iopub.execute_input":"2021-06-02T05:31:20.874657Z","iopub.status.idle":"2021-06-02T05:31:22.728871Z","shell.execute_reply.started":"2021-06-02T05:31:20.874628Z","shell.execute_reply":"2021-06-02T05:31:22.727828Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}