theibrr

# -*- coding: utf-8 -*-
"""
Created on Sat Apr 16 00:59:57 2022

@author: Ibrahim Kovan
https://ibrahimkovan.medium.com/
"""
import tensorflow as tf
import numpy as np
import tensorflow.keras.preprocessing.image as process_im

theibrr

"""
@author: Ibrahim Kovan
https://ibrahimkovan.medium.com/
"""
#%% Libraries
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn import preprocessing
from sklearn.model_selection import train_test_split

theibrr

"""
@author: Ibrahim Kovan
https://ibrahimkovan.medium.com/
"""
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score

theibrr

"""14"""
fig, ax = plt.subplots(5, 4, figsize = (16,20)) 
for i in range(0,5):
    test_img_number = random.randint(0, len(x_test))
    
    test_img = x_test[test_img_number]
    ground_truth=y_test_argmax[test_img_number] 
    test_img_input=np.expand_dims(test_img, 0) 
    prediction = (model.predict(test_img_input)) 
    predicted_img=np.argmax(prediction, axis=3)[0,:,:]    

theibrr

#%% pre-trained model
"""10"""
BACKBONE = 'resnet34'
preprocess_input = sm.get_preprocessing(BACKBONE)

# preprocess input
x_train_new = preprocess_input(x_train)
x_test_new = preprocess_input(x_test)

# define model

theibrr

#%% pre-trained model
"""10"""
BACKBONE = 'resnet34'
preprocess_input = sm.get_preprocessing(BACKBONE)

# preprocess input
x_train_new = preprocess_input(x_train)
x_test_new = preprocess_input(x_test)

# define model

theibrr

#%% U-Net
"""6"""
img_height = x_train.shape[1]
img_width  = x_train.shape[2]
img_channels = x_train.shape[3]


metrics=['accuracy', jacard]

def get_model():

theibrr

# -*- coding: utf-8 -*-
"""
@author: Ibrahim Kovan
https://ibrahimkovan.medium.com/

dataset: http://www.dronedataset.icg.tugraz.at/
dataset link: https://www.kaggle.com/awsaf49/semantic-drone-dataset
License: CC0: Public Domain

"""

theibrr

# -*- coding: utf-8 -*-
"""
@author: Ibrahim Kovan
https://ibrahimkovan.medium.com/
"""
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, UpSampling2D, concatenate, Conv2DTranspose, BatchNormalization, Dropout, Lambda
from tensorflow.keras import backend as K

def multiclass_unet_architecture(n_classes=2, height=256, width=256, channels=3):

theibrr

# -*- coding: utf-8 -*-
"""
@author: Ibrahim Kovan
https://ibrahimkovan.medium.com/

License: CC0: Public Domain
Dataset: https://www.kaggle.com/francoisraucent/western-europe-power-consumption
"""
""" [1] """
import pandas as pd