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import tensorflow as tf
print(tf.__version__)
2.8.0
!pip install git+https://github.com/keras-team/keras-preprocessing.git
Collecting git+https://github.com/keras-team/keras-preprocessing.git Cloning https://github.com/keras-team/keras-preprocessing.git to c:\users\batcomputer\appdata\local\temp\pip-req-build-tary93ud Resolved https://github.com/keras-team/keras-preprocessing.git to commit 3e380065d4afc7347aaee8d89325a16b22158438 Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: numpy>=1.9.1 in c:\users\batcomputer\anaconda3\lib\site-packages (from Keras-Preprocessing==1.1.2) (1.22.3)
WARNING: Ignoring invalid distribution -illow (c:\users\batcomputer\anaconda3\lib\site-packages) WARNING: Ignoring invalid distribution -illow (c:\users\batcomputer\anaconda3\lib\site-packages) Running command git clone --filter=blob:none --quiet https://github.com/keras-team/keras-preprocessing.git 'C:\Users\BATCOMPUTER\AppData\Local\Temp\pip-req-build-tary93ud' WARNING: Ignoring invalid distribution -illow (c:\users\batcomputer\anaconda3\lib\site-packages) WARNING: Ignoring invalid distribution -illow (c:\users\batcomputer\anaconda3\lib\site-packages) WARNING: Ignoring invalid distribution -illow (c:\users\batcomputer\anaconda3\lib\site-packages)
from keras_preprocessing.image import ImageDataGenerator

import tensorflow as tf
from tensorflow.keras.layers import Input, Lambda, Dense, Flatten
from tensorflow.keras.models import Model
from tensorflow.keras.applications.resnet50 import ResNet50
#from keras.applications.vgg16 import VGG16
from tensorflow.keras.applications.resnet50 import preprocess_input
from tensorflow.keras.models import Sequential
import numpy as np
from glob import glob
import matplotlib.pyplot as plt
import pandas as pd
traindf=pd.read_csv("C:/Users/BATCOMPUTER/Desktop/DHPi_competition_data_sprint_68/Dataset/training_set.csv",dtype=str)
testdf=pd.read_csv("C:/Users/BATCOMPUTER/Desktop/DHPi_competition_data_sprint_68/Dataset/Testing_set.csv",dtype=str)
datagen=ImageDataGenerator(rescale=1./255.,validation_split=0.25)