requirements.txt

import numpy as np
import pandas as pd 
import os
from google.colab.patches import cv2_imshow
import cv2 as cv
import matplotlib.pyplot as plt
from keras.preprocessing import image
from keras.applications.inception_resnet_v2 import InceptionResNetV2
from keras.applications.inception_resnet_v2 import preprocess_input,decode_predictions
from keras import backend as K
from keras.layers import add, Conv2D,MaxPooling2D,UpSampling2D,Input,BatchNormalization, RepeatVector, Reshape
from tensorflow.keras.layers import concatenate
from keras.models import Model
from keras.preprocessing.image import ImageDataGenerator
import tensorflow
from tensorflow.keras.layers import Conv2D, BatchNormalization, Activation, MaxPool2D, Conv2DTranspose, Concatenate, Input
tensorflow.random.set_seed(2)
np.random.seed(1)
import matplotlib.pyplot as plt
from keras.preprocessing import image
from keras.applications.inception_resnet_v2 import InceptionResNetV2
from keras.applications.inception_resnet_v2 import preprocess_input,decode_predictions
from keras.models import Sequential
from keras.layers import Dense, Conv2D
from keras.layers import Dropout
from keras.layers import Flatten
from keras.constraints import maxnorm
from keras.layers.convolutional import Convolution2D
from keras.layers.convolutional import MaxPooling2D
from keras.callbacks import ModelCheckpoint, LearningRateScheduler
from keras.callbacks import ReduceLROnPlateau
from keras.callbacks import EarlyStopping
from keras.regularizers import l2
from keras import backend as K
from keras.layers import add, Conv2D,MaxPooling2D,UpSampling2D,Input,BatchNormalization, RepeatVector, Reshape , Conv2DTranspose
from keras.layers import concatenate
from keras.models import Model
from keras.preprocessing.image import ImageDataGenerator
from keras.layers import Conv2D, MaxPooling2D, UpSampling2D, BatchNormalization, Reshape, Permute, Activation, Input, \
    add, multiply
from keras.layers import concatenate, core, Dropout
from keras.models import Model
#from keras.layers.merge import concatenate
from keras.layers.core import Lambda
from tensorflow.keras.layers import Input, Dropout, ConvLSTM2D, Lambda, Conv2D, Conv2DTranspose, MaxPooling2D, Concatenate, Activation, Add, multiply, add, concatenate, LeakyReLU, ZeroPadding2D, UpSampling2D, BatchNormalization
import keras.backend as K
from keras.optimizers import *
from keras.layers import *   
tensorflow.random.set_seed(2)
np.random.seed(1)
!pip install sewar