![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\"){kind=icon}
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "jEr6k8y2xIPc"
},
"source": [
"# **Import libraries or install unavailable libraries**"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "8jjrK3pp-GVk",
"outputId": "5633c30a-78fe-4ec6-f3da-1acb38699664"
},
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib as plt\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sn\n",
"%matplotlib inline\n",
"%pylab inline\n",
"%config InlineBackend.figure_formats = ['retina']\n",
"from imutils import paths\n",
"import time # time1 = time.time(); print('Time taken: {:.1f} sec'.format(time.time() - time1))\n",
"import cv2\n",
"import pickle\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\")"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "limMZVyBxF0a"
},
"source": [
"import tensorflow as tf\n",
"from tensorflow.keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img\n",
"import keras\n",
"from keras.models import Sequential\n",
"from keras.layers import Dense, Dropout, Flatten\n",
"from keras.layers import Conv2D, MaxPooling2D\n",
"from keras.layers import BatchNormalization\n",
"from keras.optimizers import Adam\n",
"from tensorflow.keras.utils import to_categorical\n",
"from keras.preprocessing import image\n",
"from sklearn.model_selection import train_test_split\n",
"from tensorflow.keras.utils import to_categorical\n",
"from tqdm import tqdm\n",
"from sklearn.metrics import plot_confusion_matrix"
],
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "8K6TDbq000Sr"
},
"source": [
"# **Mount google drive with cropped images**"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vlZKvH8So7IT",
"outputId": "9cc38e2f-10af-48fe-83fd-7555211b392b"
},
"source": [
"from google.colab import drive\n",
"drive.mount._DEBUG = True\n",
"drive.mount('/content/MyDrive', force_remount=True)\n",
"!ls /content/MyDrive/MyDrive/ECG/data_v2/"
],
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": [
"unset HISTFILE; export PS1=\"root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: \"\n",
"bash: cannot set terminal process group (-1): Inappropriate ioctl for device\n",
"bash: no job control in this shell\n",
"\u001b[01;34m/content\u001b[00m# root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: umount -f /content/MyDrive || umount /content/MyDrive; pkill -9 -x drive\n",
"umount: /content/MyDrive: no mount point specified.\n",
"umount: /content/MyDrive: no mount point specified.\n",
"root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: pkill -9 -f /opt/google/drive/directoryprefetcher_binary\n",
"root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: ( while `sleep 0.5`; do if [[ -d \"/content/MyDrive\" && \"$(ls -A /content/MyDrive)\" != \"\" ]]; then echo \"google.colab.drive MOUNTED\"; break; fi; done ) &\n",
"[1] 117\n",
"root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: cat /tmp/tmp7l54t7q8/drive.fifo | head -1 | ( /opt/google/drive/drive --features=fuse_max_background:1000,max_read_qps:1000,max_write_qps:1000,max_operation_batch_size:15,max_parallel_push_task_instances:10,opendir_timeout_ms:120000,virtual_folders_omit_spaces:true --inet_family=IPV4_ONLY --preferences=trusted_root_certs_file_path:/opt/google/drive/roots.pem,mount_point_path:/content/MyDrive --console_auth 2>&1 | grep --line-buffered -E \"(Go to this URL in a browser: https://.*)$|Drive File Stream encountered a problem and has stopped|Authorization failed|The domain policy has disabled Drive File Stream\"; echo \"drive EXITED\"; ) &\n",
"[2] 121\n",
"root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.activity.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fexperimentsandconfigs%20https%3a%2f%2fwww.googleapis.com%2fauth%2fphotos.native&response_type=code\n",
"google.colab.drive MOUNTED\n",
"fuser -kw \"/root/.config/Google/DriveFS/Logs/timeouts.txt\" ; rm -rf \"/root/.config/Google/DriveFS/Logs/timeouts.txt\"\n",
"Specified filename /root/.config/Google/DriveFS/Logs/timeouts.txt does not exist.\n",
"root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: nohup bash -c 'tail -n +0 -F \"/root/.config/Google/DriveFS/Logs/drive_fs.txt\" | python3 /opt/google/drive/drive-filter.py > \"/root/.config/Google/DriveFS/Logs/timeouts.txt\" ' < /dev/null > /dev/null 2>&1 &\n",
"[3] 249\n",
"root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: disown -a\n",
"root@26d12269733b-bc2a916dc46e489ba3e6ad1a6b5ebff1: exit\n",
"Mounted at /content/MyDrive\n",
"ECGImagesofMyocardialInfarctionPatients\n",
"ECGImagesofPatientthathaveabnormalheartbeat\n",
"ECGImagesofPatientthathaveHistoryofMI\n",
"NormalPersonECGImages\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "cyHaVBFm1R9o"
},
"source": [
"# **Display an example cropped image after resizing and do sanity check after converting it to np array** \n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 353
},
"id": "B1PANBkOvk_k",
"outputId": "22b23bee-a790-48a4-9c6f-44d5e566d5d5"
},
"source": [
"img = image.load_img('/content/MyDrive/MyDrive/ECG/data_v2/NormalPersonECGImages/Cropped_Images/Normal_100Cropped_lead4.png', grayscale=True, target_size=(150,150)) #target_size=(28,28), grayscale=True\n",
"\n",
"print(type(img))\n",
"print(img.format)\n",
"print(img.mode)\n",
"print(img.size)\n",
"# show the image\n",
"plt.imshow(img)"
],
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": [
"| \n", " | image | \n", "label | \n", "
|---|---|---|
| 0 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/ECGImages... | \n", "1 | \n", "
| 1 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/ECGImages... | \n", "1 | \n", "
| 2 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/ECGImages... | \n", "1 | \n", "
| 3 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/ECGImages... | \n", "1 | \n", "
| 4 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/ECGImages... | \n", "1 | \n", "
| ... | \n", "... | \n", "... | \n", "
| 923 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/NormalPer... | \n", "0 | \n", "
| 924 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/NormalPer... | \n", "0 | \n", "
| 925 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/NormalPer... | \n", "0 | \n", "
| 926 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/NormalPer... | \n", "0 | \n", "
| 927 | \n", "/content/MyDrive/MyDrive/ECG/data_v2/NormalPer... | \n", "0 | \n", "
928 rows × 2 columns
\n", "| precision | recall | f1-score | support | |
|---|---|---|---|---|
| Normal | \n", "1.000000 | \n", "0.904762 | \n", "0.950000 | \n", "63 | \n", "
| Myocardial Infarction (MI) | \n", "1.000000 | \n", "1.000000 | \n", "1.000000 | \n", "48 | \n", "
| Abnormal HB | \n", "0.829787 | \n", "0.829787 | \n", "0.829787 | \n", "47 | \n", "
| History of MI | \n", "0.705882 | \n", "0.857143 | \n", "0.774194 | \n", "28 | \n", "