from google.colab import drive drive.mount

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

from google.colab import drive

drive.mount('/content/drive')

!ls "/content/drive/My Drive"

import os 

os.getcwd()

os.chdir('/content/drive/MyDrive/IDEC_Khaoula/')

import tensorflow as tf

gpu_available = tf.test.is_gpu_available()

is_cuda_gpu_available = tf.test.is_gpu_available(cuda_only=True)

#is_cuda_gpu_min_3 = tf.test.is_gpu_available(True, (3,0))

print(is_cuda_gpu_available)

WARNING:tensorflow:From <ipython-input-6-27712600f2d0>:2: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.

Instructions for updating:

Use `tf.config.list_physical_devices('GPU')` instead.

True

from PIL import Image

import numpy as np

import glob

Data=[]

path=glob.glob('/content/drive/MyDrive/Work Fatima/brain_tumor_dataset/no/*')

import cv2

from PIL import Image

from skimage import color

from skimage import io

#img = color.rgb2gray(io.imread('image.png'))

Data=[]

for i in path:

  image = cv2.imread(i, cv2.IMREAD_COLOR)

  gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

  bigger = cv2.resize(gray_image, (28,28))

  image1=np.array(bigger)

  #print(image1.shape[0],image1.shape[1])

  vect=image1.reshape(image1.shape[0]*image1.shape[1])

  Data.append(vect)

DataNO=np.array(Data)

YNO=np.zeros((DataNO.shape[0],1))

 

 

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