brain-tumor.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"from IPython.display import clear_output\n!pip install imutils\n!pip install colorama\nclear_output()","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-07-04T17:51:21.716994Z","iopub.execute_input":"2023-07-04T17:51:21.717426Z","iopub.status.idle":"2023-07-04T17:51:48.804816Z","shell.execute_reply.started":"2023-07-04T17:51:21.717391Z","shell.execute_reply":"2023-07-04T17:51:48.803556Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"code","source":"import numpy as np\nimport matplotlib.pyplot as plt\nimport cv2\nimport os\nimport tensorflow as tf\nfrom PIL import Image\nimport tqdm\n\nfrom sklearn.model_selection import train_test_split\n\nfrom tensorflow.keras.utils import normalize, to_categorical\n\nfrom tensorflow.keras.layers import Conv2D, MaxPooling2D, Activation, Dropout, Flatten, Dense\nfrom tensorflow.keras import layers, Sequential\nfrom tensorflow.keras.utils import plot_model\nfrom sklearn.metrics import accuracy_score, f1_score, matthews_corrcoef\nfrom sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:51:48.807585Z","iopub.execute_input":"2023-07-04T17:51:48.808227Z","iopub.status.idle":"2023-07-04T17:51:49.844661Z","shell.execute_reply.started":"2023-07-04T17:51:48.808181Z","shell.execute_reply":"2023-07-04T17:51:49.843588Z"},"trusted":true},"execution_count":3,"outputs":[]},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport cv2\nfrom PIL import Image\nimport scipy\n\nimport tensorflow as tf\nfrom tensorflow.keras.applications import *\nfrom tensorflow.keras.optimizers import *\nfrom tensorflow.keras.losses import *\nfrom tensorflow.keras.layers import *\nfrom tensorflow.keras.models import *\nfrom tensorflow.keras.callbacks import *\nfrom tensorflow.keras.preprocessing.image import *\nfrom tensorflow.keras.utils import *\n# import pydot\n\nfrom sklearn.metrics import *\nfrom sklearn.model_selection import *\nimport tensorflow.keras.backend as K\n\nfrom tqdm import tqdm, tqdm_notebook\nfrom colorama import Fore\nimport json\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom glob import glob\nfrom skimage.io import *\n%config Completer.use_jedi = False\nimport time\nfrom sklearn.decomposition import PCA\nfrom sklearn.svm import LinearSVC\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.metrics import accuracy_score\nimport lightgbm as lgb\nimport xgboost as xgb\nimport numpy as np \nfrom tqdm import tqdm\nimport cv2\nimport os\nimport shutil\nimport itertools\nimport imutils\nimport matplotlib.pyplot as plt\nfrom sklearn.preprocessing import LabelBinarizer\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import confusion_matrix\n\nimport plotly.graph_objs as go\nfrom plotly.offline import init_notebook_mode, iplot\nfrom plotly import tools\n\nfrom keras.preprocessing.image import ImageDataGenerator\nfrom keras.applications.vgg16 import VGG16, preprocess_input\nfrom keras import layers\nfrom keras.models import Model, Sequential\nfrom keras.optimizers import Adam, RMSprop\nfrom keras.callbacks import EarlyStopping\n\n\nfrom keras.models import Model\nfrom keras.layers import Flatten,Dense, Input, Conv2D, MaxPooling2D, GlobalAveragePooling2D , GlobalMaxPooling2D, Dropout\n\ninit_notebook_mode(connected=True)\nRANDOM_SEED = 50  #123\n\nprint(\"All modules have been imported\")","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:51:49.846320Z","iopub.execute_input":"2023-07-04T17:51:49.846689Z","iopub.status.idle":"2023-07-04T17:51:54.431736Z","shell.execute_reply.started":"2023-07-04T17:51:49.846649Z","shell.execute_reply":"2023-07-04T17:51:54.430662Z"},"trusted":true},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":"<IPython.core.display.HTML object>","text/html":"<style type='text/css'>\n.datatable table.frame { margin-bottom: 0; }\n.datatable table.frame thead { border-bottom: none; }\n.datatable table.frame tr.coltypes td {  color: #FFFFFF;  line-height: 6px;  padding: 0 0.5em;}\n.datatable .bool    { background: #DDDD99; }\n.datatable .object  { background: #565656; }\n.datatable .int     { background: #5D9E5D; }\n.datatable .float   { background: #4040CC; }\n.datatable .str     { background: #CC4040; }\n.datatable .time    { background: #40CC40; }\n.datatable .row_index {  background: var(--jp-border-color3);  border-right: 1px solid var(--jp-border-color0);  color: var(--jp-ui-font-color3);  font-size: 9px;}\n.datatable .frame tbody td { text-align: left; }\n.datatable .frame tr.coltypes .row_index {  background: var(--jp-border-color0);}\n.datatable th:nth-child(2) { padding-left: 12px; }\n.datatable .hellipsis {  color: var(--jp-cell-editor-border-color);}\n.datatable .vellipsis {  background: var(--jp-layout-color0);  color: var(--jp-cell-editor-border-color);}\n.datatable .na {  color: var(--jp-cell-editor-border-color);  font-size: 80%;}\n.datatable .sp {  opacity: 0.25;}\n.datatable .footer { font-size: 9px; }\n.datatable .frame_dimensions {  background: var(--jp-border-color3);  border-top: 1px solid var(--jp-border-color0);  color: var(--jp-ui-font-color3);  display: inline-block;  opacity: 0.6;  padding: 1px 10px 1px 5px;}\n</style>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/html":"        <script type=\"text/javascript\">\n        window.PlotlyConfig = {MathJaxConfig: 'local'};\n        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n        if (typeof require !== 'undefined') {\n        require.undef(\"plotly\");\n        requirejs.config({\n            paths: {\n                'plotly': ['https://cdn.plot.ly/plotly-2.18.0.min']\n            }\n        });\n        require(['plotly'], function(Plotly) {\n            window._Plotly = Plotly;\n        });\n        }\n        </script>\n        "},"metadata":{}},{"name":"stdout","text":"All modules have been imported\n","output_type":"stream"}]},{"cell_type":"code","source":"!apt-get install tree\nclear_output()\n# create new folders\n!mkdir TRAIN TEST VAL TRAIN/YES TRAIN/NO TEST/YES TEST/NO VAL/YES VAL/NO\n!tree -d","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:51:54.437930Z","iopub.execute_input":"2023-07-04T17:51:54.439532Z","iopub.status.idle":"2023-07-04T17:51:59.818060Z","shell.execute_reply.started":"2023-07-04T17:51:54.439483Z","shell.execute_reply":"2023-07-04T17:51:59.816777Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"\u001b[01;34m.\u001b[00m\n├── \u001b[01;34mTEST\u001b[00m\n│   ├── \u001b[01;34mNO\u001b[00m\n│   └── \u001b[01;34mYES\u001b[00m\n├── \u001b[01;34mTEST_CROP\u001b[00m\n│   └── \u001b[01;34mfiltered\u001b[00m\n│       ├── \u001b[01;34mNO\u001b[00m\n│       └── \u001b[01;34mYES\u001b[00m\n├── \u001b[01;34mTRAIN\u001b[00m\n│   ├── \u001b[01;34mNO\u001b[00m\n│   └── \u001b[01;34mYES\u001b[00m\n├── \u001b[01;34mTRAIN_CROP\u001b[00m\n│   └── \u001b[01;34mfiltered\u001b[00m\n│       ├── \u001b[01;34mNO\u001b[00m\n│       └── \u001b[01;34mYES\u001b[00m\n├── \u001b[01;34mVAL\u001b[00m\n│   ├── \u001b[01;34mNO\u001b[00m\n│   └── \u001b[01;34mYES\u001b[00m\n└── \u001b[01;34mVAL_CROP\u001b[00m\n    └── \u001b[01;34mfiltered\u001b[00m\n        ├── \u001b[01;34mNO\u001b[00m\n        └── \u001b[01;34mYES\u001b[00m\n\n21 directories\n","output_type":"stream"}]},{"cell_type":"code","source":"IMG_PATH = \"/kaggle/input/brain-tumor-detection\"\n\n# split the data by train/val/test\n# ignored = {\"pred\",\"Br35H-Mask-RCNN\"}\naccepted = {\"no\", \"yes\"}\n# split the data by train/val/test\nfor CLASS in os.listdir(IMG_PATH):\n    if CLASS in accepted:\n        if not CLASS.startswith('.'):\n            IMG_NUM = len(os.listdir(IMG_PATH +\"/\"+ CLASS))\n            for (n, FILE_NAME) in enumerate(os.listdir(IMG_PATH +\"/\"+ CLASS)):\n                img = IMG_PATH+ '/' +  CLASS + '/' + FILE_NAME\n                if n < 200:\n                    shutil.copy(img, 'TEST/' + CLASS.upper() + '/' + FILE_NAME)\n                elif n < 0.80*IMG_NUM:\n                    shutil.copy(img, 'TRAIN/'+ CLASS.upper() + '/' + FILE_NAME)\n                else:\n                    shutil.copy(img, 'VAL/'+ CLASS.upper() + '/' + FILE_NAME)","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:51:59.820542Z","iopub.execute_input":"2023-07-04T17:51:59.821847Z","iopub.status.idle":"2023-07-04T17:52:29.869497Z","shell.execute_reply.started":"2023-07-04T17:51:59.821783Z","shell.execute_reply":"2023-07-04T17:52:29.868274Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"code","source":"def load_data(dir_path, img_size=(100,100)):\n    \"\"\"\n    Load resized images as np.arrays to workspace\n    \"\"\"\n    X = []\n    y = []\n    i = 0\n    labels = dict()\n    for path in tqdm(sorted(os.listdir(dir_path))):\n        if not path.startswith('.'):\n            labels[i] = path\n            for file in os.listdir(dir_path + path):\n                if not file.startswith('.'):\n                    img = cv2.imread(dir_path + path + '/' + file)\n                    X.append(img)\n                    y.append(i)\n            i += 1\n    X = np.array(X)\n    y = np.array(y)\n    print(f'{len(X)} images loaded from {dir_path} directory.')\n    return X, y, labels\n\n\n\ndef plot_confusion_matrix(cm, classes,\n                          normalize=False,\n                          title='Confusion matrix',\n                          cmap=plt.cm.Blues):\n    \"\"\"\n    This function prints and plots the confusion matrix.\n    Normalization can be applied by setting `normalize=True`.\n    \"\"\"\n    plt.figure(figsize = (6,6))\n    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n    plt.title(title)\n    plt.colorbar()\n    tick_marks = np.arange(len(classes))\n    plt.xticks(tick_marks, classes, rotation=90)\n    plt.yticks(tick_marks, classes)\n    if normalize:\n        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n\n    thresh = cm.max() / 2.\n    cm = np.round(cm,2)\n    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n        plt.text(j, i, cm[i, j],\n                 horizontalalignment=\"center\",\n                 color=\"white\" if cm[i, j] > thresh else \"black\")\n    plt.tight_layout()\n    plt.ylabel('True label')\n    plt.xlabel('Predicted label')\n    plt.show()\n","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:29.873164Z","iopub.execute_input":"2023-07-04T17:52:29.874013Z","iopub.status.idle":"2023-07-04T17:52:29.891491Z","shell.execute_reply.started":"2023-07-04T17:52:29.873980Z","shell.execute_reply":"2023-07-04T17:52:29.890410Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"TRAIN_DIR = 'TRAIN/'\nTEST_DIR = 'TEST/'\nVAL_DIR = 'VAL/'\nIMG_SIZE = (224,224)\n\nX_train, y_train, labels = load_data(TRAIN_DIR, IMG_SIZE)\nX_test, y_test, _ = load_data(TEST_DIR, IMG_SIZE)\nX_val, y_val, _ = load_data(VAL_DIR, IMG_SIZE)","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:29.893274Z","iopub.execute_input":"2023-07-04T17:52:29.893643Z","iopub.status.idle":"2023-07-04T17:52:35.374692Z","shell.execute_reply.started":"2023-07-04T17:52:29.893605Z","shell.execute_reply":"2023-07-04T17:52:35.373549Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stderr","text":"100%|██████████| 2/2 [00:03<00:00,  1.86s/it]\n/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:18: VisibleDeprecationWarning:\n\nCreating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n\n","output_type":"stream"},{"name":"stdout","text":"2000 images loaded from TRAIN/ directory.\n","output_type":"stream"},{"name":"stderr","text":"100%|██████████| 2/2 [00:00<00:00,  2.88it/s]\n","output_type":"stream"},{"name":"stdout","text":"400 images loaded from TEST/ directory.\n","output_type":"stream"},{"name":"stderr","text":"100%|██████████| 2/2 [00:01<00:00,  1.95it/s]","output_type":"stream"},{"name":"stdout","text":"600 images loaded from VAL/ directory.\n","output_type":"stream"},{"name":"stderr","text":"\n","output_type":"stream"}]},{"cell_type":"code","source":"y = dict()\ny[0] = []\ny[1] = []\nfor set_name in (y_train, y_val, y_test):\n    y[0].append(np.sum(set_name == 0))\n    y[1].append(np.sum(set_name == 1))\n\ntrace0 = go.Bar(\n    x=['Train Set', 'Validation Set', 'Test Set'],\n    y=y[0],\n    name='No',\n    marker=dict(color='#33cc33'),\n    opacity=0.7\n)\ntrace1 = go.Bar(\n    x=['Train Set', 'Validation Set', 'Test Set'],\n    y=y[1],\n    name='Yes',\n    marker=dict(color='#ff3300'),\n    opacity=0.7\n)\ndata = [trace0, trace1]\nlayout = go.Layout(\n    title='Count of classes in each set',\n    xaxis={'title': 'Set'},\n    yaxis={'title': 'Count'}\n)\nfig = go.Figure(data, layout)\niplot(fig)","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:35.376643Z","iopub.execute_input":"2023-07-04T17:52:35.377491Z","iopub.status.idle":"2023-07-04T17:52:37.257318Z","shell.execute_reply.started":"2023-07-04T17:52:35.377448Z","shell.execute_reply":"2023-07-04T17:52:37.256259Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"data":[{"marker":{"color":"#33cc33"},"name":"No","opacity":0.7,"x":["Train Set","Validation Set","Test Set"],"y":[1000,300,200],"type":"bar"},{"marker":{"color":"#ff3300"},"name":"Yes","opacity":0.7,"x":["Train Set","Validation Set","Test 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"},"metadata":{}}]},{"cell_type":"code","source":"def plot_samples(X, y, labels_dict, n=50):\n    \"\"\"\n    Creates a gridplot for desired number of images (n) from the specified set\n    \"\"\"\n    for index in range(len(labels_dict)):\n        imgs = X[np.argwhere(y == index)][:n]\n        j = 10\n        i = int(n/j)\n\n        plt.figure(figsize=(15,6))\n        c = 1\n        for img in imgs:\n            plt.subplot(i,j,c)\n            plt.imshow(img[0])\n\n            plt.xticks([])\n            plt.yticks([])\n            c += 1\n        plt.suptitle('Tumor: {}'.format(labels_dict[index]))\n        plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:37.259200Z","iopub.execute_input":"2023-07-04T17:52:37.260032Z","iopub.status.idle":"2023-07-04T17:52:37.268682Z","shell.execute_reply.started":"2023-07-04T17:52:37.259988Z","shell.execute_reply":"2023-07-04T17:52:37.267674Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"code","source":"def crop_imgs(set_name, add_pixels_value=0):\n    \"\"\"\n    Finds the extreme points on the image and crops the rectangular out of them\n    \"\"\"\n    set_new = []\n    for img in set_name:\n        gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)\n        gray = cv2.GaussianBlur(gray, (5, 5), 0)\n\n        # threshold the image, then perform a series of erosions +\n        # dilations to remove any small regions of noise\n        thresh = cv2.threshold(gray, 45, 255, cv2.THRESH_BINARY)[1]\n        thresh = cv2.erode(thresh, None, iterations=2)\n        thresh = cv2.dilate(thresh, None, iterations=2)\n\n        # find contours in thresholded image, then grab the largest one\n        cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n        cnts = imutils.grab_contours(cnts)\n        c = max(cnts, key=cv2.contourArea)\n\n        # find the extreme points\n        extLeft = tuple(c[c[:, :, 0].argmin()][0])\n        extRight = tuple(c[c[:, :, 0].argmax()][0])\n        extTop = tuple(c[c[:, :, 1].argmin()][0])\n        extBot = tuple(c[c[:, :, 1].argmax()][0])\n\n        ADD_PIXELS = add_pixels_value\n        new_img = img[extTop[1]-ADD_PIXELS:extBot[1]+ADD_PIXELS, extLeft[0]-ADD_PIXELS:extRight[0]+ADD_PIXELS].copy()\n        set_new.append(new_img)\n\n    return np.array(set_new)","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:37.275805Z","iopub.execute_input":"2023-07-04T17:52:37.276191Z","iopub.status.idle":"2023-07-04T17:52:37.293280Z","shell.execute_reply.started":"2023-07-04T17:52:37.276148Z","shell.execute_reply":"2023-07-04T17:52:37.292121Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"code","source":"import imutils\nimg = cv2.imread('/kaggle/working/TRAIN/YES/y147.jpg')\nimg = cv2.resize(\n            img,\n            dsize=IMG_SIZE,\n            interpolation=cv2.INTER_CUBIC\n        )\ngray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)\ngray = cv2.GaussianBlur(gray, (5, 5), 0)\n\n# threshold the image, then perform a series of erosions +\n# dilations to remove any small regions of noise\nthresh = cv2.threshold(gray, 45, 255, cv2.THRESH_BINARY)[1]\nthresh = cv2.erode(thresh, None, iterations=2)\nthresh = cv2.dilate(thresh, None, iterations=2)\n\n# find contours in thresholded image, then grab the largest one\ncnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\ncnts = imutils.grab_contours(cnts)\nc = max(cnts, key=cv2.contourArea)\n\n# find the extreme points\nextLeft = tuple(c[c[:, :, 0].argmin()][0])\nextRight = tuple(c[c[:, :, 0].argmax()][0])\nextTop = tuple(c[c[:, :, 1].argmin()][0])\nextBot = tuple(c[c[:, :, 1].argmax()][0])\n\n# add contour on the image\nimg_cnt = cv2.drawContours(img.copy(), [c], -1, (0, 255, 255), 4)\n\n# add extreme points\nimg_pnt = cv2.circle(img_cnt.copy(), extLeft, 8, (0, 0, 255), -1)\nimg_pnt = cv2.circle(img_pnt, extRight, 8, (0, 255, 0), -1)\nimg_pnt = cv2.circle(img_pnt, extTop, 8, (255, 0, 0), -1)\nimg_pnt = cv2.circle(img_pnt, extBot, 8, (255, 255, 0), -1)\n\n# crop\nADD_PIXELS = 0\nnew_img = img[extTop[1]-ADD_PIXELS:extBot[1]+ADD_PIXELS, extLeft[0]-ADD_PIXELS:extRight[0]+ADD_PIXELS].copy()","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:37.296268Z","iopub.execute_input":"2023-07-04T17:52:37.296743Z","iopub.status.idle":"2023-07-04T17:52:37.406591Z","shell.execute_reply.started":"2023-07-04T17:52:37.296704Z","shell.execute_reply":"2023-07-04T17:52:37.405638Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"# os.listdir(\"/kaggle/working/TRAIN/YES\")","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:37.410128Z","iopub.execute_input":"2023-07-04T17:52:37.410443Z","iopub.status.idle":"2023-07-04T17:52:37.414742Z","shell.execute_reply.started":"2023-07-04T17:52:37.410415Z","shell.execute_reply":"2023-07-04T17:52:37.413546Z"},"trusted":true},"execution_count":13,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(15,6))\nplt.subplot(141)\nplt.imshow(img)\nplt.xticks([])\nplt.yticks([])\nplt.title('Step 1. Get the original image')\nplt.subplot(142)\nplt.imshow(img_cnt)\nplt.xticks([])\nplt.yticks([])\nplt.title('Step 2. Find the biggest contour')\nplt.subplot(143)\nplt.imshow(img_pnt)\nplt.xticks([])\nplt.yticks([])\nplt.title('Step 3. Find the extreme points')\nplt.subplot(144)\nplt.imshow(new_img)\nplt.xticks([])\nplt.yticks([])\nplt.title('Step 4. Crop the image')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:37.416568Z","iopub.execute_input":"2023-07-04T17:52:37.417341Z","iopub.status.idle":"2023-07-04T17:52:38.099514Z","shell.execute_reply.started":"2023-07-04T17:52:37.417300Z","shell.execute_reply":"2023-07-04T17:52:38.098447Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1500x600 with 4 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"X_train_crop = crop_imgs(set_name=X_train)\nX_val_crop = crop_imgs(set_name=X_val)\nX_test_crop = crop_imgs(set_name=X_test)","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:38.100732Z","iopub.execute_input":"2023-07-04T17:52:38.101136Z","iopub.status.idle":"2023-07-04T17:52:41.233286Z","shell.execute_reply.started":"2023-07-04T17:52:38.101086Z","shell.execute_reply":"2023-07-04T17:52:41.231734Z"},"trusted":true},"execution_count":15,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:31: VisibleDeprecationWarning:\n\nCreating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n\n","output_type":"stream"}]},{"cell_type":"code","source":"def save_new_images(x_set, y_set, folder_name):\n    i = 0\n    for (img, imclass) in zip(x_set, y_set):\n        if imclass == 0:\n            cv2.imwrite(folder_name+'NO/'+str(i)+'.jpg', img)\n        else:\n            cv2.imwrite(folder_name+'YES/'+str(i)+'.jpg', img)\n        i += 1","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:41.235223Z","iopub.execute_input":"2023-07-04T17:52:41.235726Z","iopub.status.idle":"2023-07-04T17:52:41.244956Z","shell.execute_reply.started":"2023-07-04T17:52:41.235672Z","shell.execute_reply":"2023-07-04T17:52:41.243560Z"},"trusted":true},"execution_count":16,"outputs":[]},{"cell_type":"code","source":"# saving new images to the folder\n!mkdir TRAIN_CROP TEST_CROP VAL_CROP TRAIN_CROP/YES TRAIN_CROP/NO TEST_CROP/YES TEST_CROP/NO VAL_CROP/YES VAL_CROP/NO\n\nsave_new_images(X_train_crop, y_train, folder_name='TRAIN_CROP/')\nsave_new_images(X_val_crop, y_val, folder_name='VAL_CROP/')\nsave_new_images(X_test_crop, y_test, folder_name='TEST_CROP/')","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:41.246866Z","iopub.execute_input":"2023-07-04T17:52:41.248328Z","iopub.status.idle":"2023-07-04T17:52:48.125677Z","shell.execute_reply.started":"2023-07-04T17:52:41.248277Z","shell.execute_reply":"2023-07-04T17:52:48.124332Z"},"trusted":true},"execution_count":17,"outputs":[{"name":"stdout","text":"mkdir: cannot create directory ‘TRAIN_CROP’: File exists\nmkdir: cannot create directory ‘TEST_CROP’: File exists\nmkdir: cannot create directory ‘VAL_CROP’: File exists\n","output_type":"stream"}]},{"cell_type":"code","source":"!zip -r /kaggle/working/output.zip /kaggle/working/","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:48.128088Z","iopub.execute_input":"2023-07-04T17:52:48.128547Z","iopub.status.idle":"2023-07-04T17:52:57.125945Z","shell.execute_reply.started":"2023-07-04T17:52:48.128499Z","shell.execute_reply":"2023-07-04T17:52:57.124632Z"},"collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"execution_count":18,"outputs":[{"name":"stdout","text":"  adding: kaggle/working/ (stored 0%)\n  adding: kaggle/working/TRAIN/ (stored 0%)\n  adding: kaggle/working/TRAIN/NO/ (stored 0%)\n  adding: kaggle/working/TRAIN/NO/no428.jpg (deflated 3%)\n  adding: kaggle/working/TRAIN/NO/no162.jpg (deflated 4%)\n  adding: kaggle/working/TRAIN/NO/no297.jpg (deflated 6%)\n  adding: kaggle/working/TRAIN/NO/no1393.jpg (deflated 2%)\n  adding: kaggle/working/TRAIN/NO/no831.jpg (deflated 2%)\n  adding: kaggle/working/TRAIN/NO/no807.jpg (deflated 2%)\n  adding: kaggle/working/TRAIN/NO/no342.jpg (deflated 1%)\n  adding: 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8%)\n","output_type":"stream"}]},{"cell_type":"code","source":"train_crop ='/kaggle/working/TRAIN_CROP'\ntest_crop ='/kaggle/working/TEST_CROP'\nval_crop ='/kaggle/working/VAL_CROP'","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:57.128191Z","iopub.execute_input":"2023-07-04T17:52:57.128709Z","iopub.status.idle":"2023-07-04T17:52:57.136199Z","shell.execute_reply.started":"2023-07-04T17:52:57.128664Z","shell.execute_reply":"2023-07-04T17:52:57.135060Z"},"trusted":true},"execution_count":19,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\n# Load the image\nimage_path = '/kaggle/working/TEST_CROP/YES/398.jpg'\nimage = cv2.imread(image_path)\n\n# Check if the image was successfully loaded\nif image is not None:\n    # Convert BGR image to RGB\n    image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n\n    # Display the image\n    plt.imshow(image_rgb)\n    plt.axis('off')\n    plt.show()\nelse:\n    print('Failed to load the image.')","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:57.138174Z","iopub.execute_input":"2023-07-04T17:52:57.139782Z","iopub.status.idle":"2023-07-04T17:52:57.329866Z","shell.execute_reply.started":"2023-07-04T17:52:57.139743Z","shell.execute_reply":"2023-07-04T17:52:57.328423Z"},"trusted":true},"execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"import tensorflow as tf\nimport tensorflow_addons as tfa\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img\nimport os\nfrom PIL import ImageOps\nfrom tqdm import tqdm\n\n# Custom preprocessing functions\ndef mean_filter(img):\n    img = tf.expand_dims(img, axis=0)\n    img_filtered = tf.nn.avg_pool2d(img, ksize=3, strides=1, padding='SAME')\n    img_filtered = tf.squeeze(img_filtered, axis=0)\n    return img_filtered\n\ndef median_filter(img):\n    return tfa.image.median_filter2d(img, filter_shape=(3, 3), padding='REFLECT')\n\ndef histogram_equalization(img):\n    img_pil = array_to_img(img)\n    img_eq = ImageOps.equalize(img_pil)\n    return img_to_array(img_eq)\n\n# Define the folders\nfolders = ['TRAIN_CROP', 'TEST_CROP', 'VAL_CROP']\nlabels = ['YES', 'NO']\n\n# Create the filtered image directories if they don't exist\nfor folder in folders:\n    filtered_folder = os.path.join(folder, 'filtered')\n    os.makedirs(filtered_folder, exist_ok=True)\n    for label in labels:\n        label_folder = os.path.join(filtered_folder, label)\n        os.makedirs(label_folder, exist_ok=True)\n\n# Loop through each folder and process the images\nfor folder in folders:\n    for label in labels:\n        folder_path = os.path.join(folder, label)\n        images = os.listdir(folder_path)\n\n        for image_name in tqdm(images, desc=f'Processing {folder}/{label}'):\n            # Load the image\n            image_path = os.path.join(folder_path, image_name)\n            img = load_img(image_path, color_mode='grayscale')\n            img_array = img_to_array(img)\n\n            # Apply histogram equalization\n            img_eq = histogram_equalization(img_array)\n\n            # Apply mean filter\n           # img_mean = mean_filter(img_eq)\n\n            # Apply median filter\n            img_median = median_filter(img_eq)\n\n            # Save the filtered image\n            filtered_folder = os.path.join(folder, 'filtered', label)\n            filtered_path = os.path.join(filtered_folder, image_name)\n            filtered_img = array_to_img(img_median, scale=False)\n            filtered_img.save(filtered_path)\n\nprint(\"Filters applied to all images!\")\n\n\n","metadata":{"execution":{"iopub.status.busy":"2023-07-04T17:52:57.336581Z","iopub.execute_input":"2023-07-04T17:52:57.340854Z","iopub.status.idle":"2023-07-04T18:00:38.245411Z","shell.execute_reply.started":"2023-07-04T17:52:57.340752Z","shell.execute_reply":"2023-07-04T18:00:38.244238Z"},"trusted":true},"execution_count":21,"outputs":[{"name":"stderr","text":"Processing TRAIN_CROP/YES: 100%|██████████| 1000/1000 [03:29<00:00,  4.78it/s]\nProcessing TRAIN_CROP/NO: 100%|██████████| 1000/1000 [01:54<00:00,  8.74it/s]\nProcessing TEST_CROP/YES: 100%|██████████| 200/200 [00:36<00:00,  5.48it/s]\nProcessing TEST_CROP/NO: 100%|██████████| 200/200 [00:21<00:00,  9.44it/s]\nProcessing VAL_CROP/YES: 100%|██████████| 300/300 [00:51<00:00,  5.85it/s]\nProcessing VAL_CROP/NO: 100%|██████████| 300/300 [00:28<00:00, 10.63it/s]","output_type":"stream"},{"name":"stdout","text":"Filters applied to all images!\n","output_type":"stream"},{"name":"stderr","text":"\n","output_type":"stream"}]},{"cell_type":"code","source":"TRAIN_FILTERED = '/kaggle/working/TRAIN_CROP/filtered'\nTEST_FILTERED = '/kaggle/working/TEST_CROP/filtered'\nVAL_FILTERED = '/kaggle/working/VAL_CROP/filtered'","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:00:38.246974Z","iopub.execute_input":"2023-07-04T18:00:38.247996Z","iopub.status.idle":"2023-07-04T18:00:38.253461Z","shell.execute_reply.started":"2023-07-04T18:00:38.247952Z","shell.execute_reply":"2023-07-04T18:00:38.252041Z"},"trusted":true},"execution_count":22,"outputs":[]},{"cell_type":"code","source":"/kaggle/working/VAL_CROP/filtered/YES/augmented_385.jpg_2.jpg","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:00:38.254866Z","iopub.execute_input":"2023-07-04T18:00:38.255870Z","iopub.status.idle":"2023-07-04T18:00:38.471070Z","shell.execute_reply.started":"2023-07-04T18:00:38.255826Z","shell.execute_reply":"2023-07-04T18:00:38.469161Z"},"trusted":true},"execution_count":23,"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_23/3491251233.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mkaggle\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mworking\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mVAL_CROP\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mfiltered\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mYES\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0maugmented_385\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjpg_2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjpg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;31mNameError\u001b[0m: name 'kaggle' is not defined"],"ename":"NameError","evalue":"name 'kaggle' is not defined","output_type":"error"}]},{"cell_type":"code","source":"batch_size = 32\nimage_size = (224, 224)\n\n# Use the ImageDataGenerator to preprocess and load the train dataset\ntrain_datagen = ImageDataGenerator(rescale=1.0/255.0)  # Rescale pixel values to [0, 1]\ntrain_generator = train_datagen.flow_from_directory(\n    TRAIN_FILTERED,\n    target_size=image_size,\n    batch_size=batch_size,\n    class_mode='binary',\n    shuffle=True,\n    \n)\n\n# Use the ImageDataGenerator to preprocess and load the validation dataset\nvalidation_datagen = ImageDataGenerator(rescale=1.0/255.0)  # Rescale pixel values to [0, 1]\nvalidation_generator = validation_datagen.flow_from_directory(\n    VAL_FILTERED,\n    target_size=image_size,\n    batch_size=batch_size,\n    class_mode='binary',\n    shuffle=False\n)\n\n# Use the ImageDataGenerator to preprocess and load the test dataset\ntest_datagen = ImageDataGenerator(rescale=1.0/255.0)  # Rescale pixel values to [0, 1]\ntest_generator = test_datagen.flow_from_directory(\n    TEST_FILTERED,\n    target_size=image_size,\n    batch_size=batch_size,\n    class_mode='binary',\n    shuffle=False\n)","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:01:20.087224Z","iopub.execute_input":"2023-07-04T18:01:20.087704Z","iopub.status.idle":"2023-07-04T18:01:20.415593Z","shell.execute_reply.started":"2023-07-04T18:01:20.087657Z","shell.execute_reply":"2023-07-04T18:01:20.414314Z"},"trusted":true},"execution_count":24,"outputs":[{"name":"stdout","text":"Found 2000 images belonging to 2 classes.\nFound 600 images belonging to 2 classes.\nFound 400 images belonging to 2 classes.\n","output_type":"stream"}]},{"cell_type":"code","source":"def cnn_model():\n    cnn_sequential=Sequential([\n        layers.Input(shape=(224,224,3), name='input_image'),\n\n        layers.Conv2D(32, kernel_size=3, activation='relu',kernel_initializer='he_uniform'),\n         layers.Conv2D(32, kernel_size=3, activation='relu',kernel_initializer='he_uniform'),\n        layers.MaxPool2D(pool_size=2),\n\n        layers.Conv2D(64, kernel_size=3, activation='relu',kernel_initializer='he_uniform'),\n        layers.MaxPool2D(pool_size=2),\n\n        layers.Conv2D(64, kernel_size=3, activation='relu',kernel_initializer='he_uniform'),\n        layers.MaxPool2D(pool_size=2),\n\n        layers.Conv2D(128, kernel_size=3, activation='relu',kernel_initializer='he_uniform'),\n        layers.MaxPool2D(pool_size=2),\n\n        layers.Flatten(),\n        layers.Dense(64,activation='relu'),\n\n        layers.Dropout(0.5),\n        layers.Dense(1,activation='sigmoid')\n\n    ], name='cnn_sequential_model')\n\n    return cnn_sequential","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:01:33.894266Z","iopub.execute_input":"2023-07-04T18:01:33.895192Z","iopub.status.idle":"2023-07-04T18:01:33.906003Z","shell.execute_reply.started":"2023-07-04T18:01:33.895151Z","shell.execute_reply":"2023-07-04T18:01:33.904784Z"},"trusted":true},"execution_count":25,"outputs":[]},{"cell_type":"code","source":"model = cnn_model()","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:01:39.115718Z","iopub.execute_input":"2023-07-04T18:01:39.116259Z","iopub.status.idle":"2023-07-04T18:01:39.357210Z","shell.execute_reply.started":"2023-07-04T18:01:39.116194Z","shell.execute_reply":"2023-07-04T18:01:39.356161Z"},"trusted":true},"execution_count":26,"outputs":[]},{"cell_type":"code","source":"early_stopping_callback = tf.keras.callbacks.EarlyStopping(\n    monitor='val_loss',\n    patience=7,\n    restore_best_weights=True)\n","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:01:43.747721Z","iopub.execute_input":"2023-07-04T18:01:43.748800Z","iopub.status.idle":"2023-07-04T18:01:43.755328Z","shell.execute_reply.started":"2023-07-04T18:01:43.748744Z","shell.execute_reply":"2023-07-04T18:01:43.753787Z"},"trusted":true},"execution_count":27,"outputs":[]},{"cell_type":"code","source":"model.compile(loss='binary_crossentropy',optimizer='adam', metrics=['accuracy'])","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:01:49.392508Z","iopub.execute_input":"2023-07-04T18:01:49.393299Z","iopub.status.idle":"2023-07-04T18:01:49.842394Z","shell.execute_reply.started":"2023-07-04T18:01:49.393225Z","shell.execute_reply":"2023-07-04T18:01:49.841295Z"},"trusted":true},"execution_count":28,"outputs":[]},{"cell_type":"code","source":"\n# Set the number of training steps per epoch\nsteps_per_epoch = train_generator.samples // train_generator.batch_size\n\n# Set the number of validation steps\nvalidation_steps = validation_generator.samples // validation_generator.batch_size\n\n","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:01:55.078179Z","iopub.execute_input":"2023-07-04T18:01:55.079278Z","iopub.status.idle":"2023-07-04T18:01:55.085238Z","shell.execute_reply.started":"2023-07-04T18:01:55.079212Z","shell.execute_reply":"2023-07-04T18:01:55.083701Z"},"trusted":true},"execution_count":29,"outputs":[]},{"cell_type":"code","source":"history = model.fit_generator(\n    train_generator,\n    steps_per_epoch=steps_per_epoch,\n    epochs=30,\n    validation_data=validation_generator,\n    validation_steps=validation_steps\n)","metadata":{"execution":{"iopub.status.busy":"2023-07-04T18:01:58.852492Z","iopub.execute_input":"2023-07-04T18:01:58.852882Z","iopub.status.idle":"2023-07-04T18:06:59.393757Z","shell.execute_reply.started":"2023-07-04T18:01:58.852846Z","shell.execute_reply":"2023-07-04T18:06:59.392588Z"},"trusted":true},"execution_count":30,"outputs":[{"name":"stdout","text":"Epoch 1/30\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:6: UserWarning:\n\n`Model.fit_generator` is deprecated and will be removed in a future version. Please use `Model.fit`, which supports generators.\n\n","output_type":"stream"},{"name":"stdout","text":"62/62 [==============================] - 25s 137ms/step - loss: 0.7710 - accuracy: 0.6123 - val_loss: 0.5500 - val_accuracy: 0.7170\nEpoch 2/30\n62/62 [==============================] - 8s 131ms/step - loss: 0.4836 - accuracy: 0.7851 - val_loss: 0.4476 - val_accuracy: 0.8056\nEpoch 3/30\n62/62 [==============================] - 9s 140ms/step - loss: 0.3982 - accuracy: 0.8359 - val_loss: 0.2986 - val_accuracy: 0.8924\nEpoch 4/30\n62/62 [==============================] - 7s 115ms/step - loss: 0.3012 - accuracy: 0.8791 - val_loss: 0.2592 - val_accuracy: 0.8993\nEpoch 5/30\n62/62 [==============================] - 7s 118ms/step - loss: 0.2230 - accuracy: 0.9116 - val_loss: 0.2462 - val_accuracy: 0.9115\nEpoch 6/30\n62/62 [==============================] - 8s 136ms/step - loss: 0.1877 - accuracy: 0.9324 - val_loss: 0.1789 - val_accuracy: 0.9549\nEpoch 7/30\n62/62 [==============================] - 7s 116ms/step - loss: 0.1575 - accuracy: 0.9339 - val_loss: 0.1983 - val_accuracy: 0.9392\nEpoch 8/30\n62/62 [==============================] - 8s 132ms/step - loss: 0.1185 - accuracy: 0.9461 - val_loss: 0.1753 - val_accuracy: 0.9479\nEpoch 9/30\n62/62 [==============================] - 7s 113ms/step - loss: 0.0915 - accuracy: 0.9644 - val_loss: 0.1713 - val_accuracy: 0.9444\nEpoch 10/30\n62/62 [==============================] - 9s 141ms/step - loss: 0.0723 - accuracy: 0.9695 - val_loss: 0.1769 - val_accuracy: 0.9497\nEpoch 11/30\n62/62 [==============================] - 8s 135ms/step - loss: 0.0878 - accuracy: 0.9619 - val_loss: 0.1753 - val_accuracy: 0.9497\nEpoch 12/30\n62/62 [==============================] - 7s 110ms/step - loss: 0.0719 - accuracy: 0.9715 - val_loss: 0.2298 - val_accuracy: 0.9427\nEpoch 13/30\n62/62 [==============================] - 7s 116ms/step - loss: 0.0618 - accuracy: 0.9766 - val_loss: 0.2036 - val_accuracy: 0.9583\nEpoch 14/30\n62/62 [==============================] - 7s 115ms/step - loss: 0.0805 - accuracy: 0.9721 - val_loss: 0.2057 - val_accuracy: 0.9514\nEpoch 15/30\n62/62 [==============================] - 7s 119ms/step - loss: 0.0550 - accuracy: 0.9802 - val_loss: 0.2148 - val_accuracy: 0.9497\nEpoch 16/30\n62/62 [==============================] - 8s 135ms/step - loss: 0.0356 - accuracy: 0.9832 - val_loss: 0.2235 - val_accuracy: 0.9514\nEpoch 17/30\n62/62 [==============================] - 9s 139ms/step - loss: 0.0391 - accuracy: 0.9797 - val_loss: 0.1391 - val_accuracy: 0.9688\nEpoch 18/30\n62/62 [==============================] - 7s 114ms/step - loss: 0.0375 - accuracy: 0.9827 - val_loss: 0.2470 - val_accuracy: 0.9375\nEpoch 19/30\n62/62 [==============================] - 8s 136ms/step - loss: 0.0511 - accuracy: 0.9807 - val_loss: 0.2229 - val_accuracy: 0.9618\nEpoch 20/30\n62/62 [==============================] - 7s 119ms/step - loss: 0.0293 - accuracy: 0.9878 - val_loss: 0.3117 - val_accuracy: 0.9514\nEpoch 21/30\n62/62 [==============================] - 7s 114ms/step - loss: 0.0214 - accuracy: 0.9924 - val_loss: 0.2235 - val_accuracy: 0.9601\nEpoch 22/30\n62/62 [==============================] - 7s 113ms/step - loss: 0.0249 - accuracy: 0.9868 - val_loss: 0.2804 - val_accuracy: 0.9427\nEpoch 23/30\n62/62 [==============================] - 8s 131ms/step - loss: 0.0306 - accuracy: 0.9868 - val_loss: 0.2220 - val_accuracy: 0.9618\nEpoch 24/30\n62/62 [==============================] - 7s 118ms/step - loss: 0.0295 - accuracy: 0.9868 - val_loss: 0.2554 - val_accuracy: 0.9618\nEpoch 25/30\n62/62 [==============================] - 8s 132ms/step - loss: 0.0169 - accuracy: 0.9909 - val_loss: 0.2160 - val_accuracy: 0.9566\nEpoch 26/30\n62/62 [==============================] - 7s 112ms/step - loss: 0.0113 - accuracy: 0.9944 - val_loss: 0.2636 - val_accuracy: 0.9653\nEpoch 27/30\n62/62 [==============================] - 9s 137ms/step - loss: 0.0392 - accuracy: 0.9842 - val_loss: 0.2067 - val_accuracy: 0.9653\nEpoch 28/30\n62/62 [==============================] - 7s 113ms/step - loss: 0.0236 - accuracy: 0.9893 - val_loss: 0.2374 - val_accuracy: 0.9601\nEpoch 29/30\n62/62 [==============================] - 7s 109ms/step - loss: 0.0210 - accuracy: 0.9909 - val_loss: 0.2732 - val_accuracy: 0.9549\nEpoch 30/30\n62/62 [==============================] - 7s 110ms/step - loss: 0.0422 - accuracy: 0.9822 - val_loss: 0.2750 - val_accuracy: 0.9566\n","output_type":"stream"}]}]}