YCAyca

% reference : https://medium.com/data-breach/introduction-to-harris-corner-detector-32a88850b3f6
clear all; 
close all; 
clc;


% Take the grayscale of the original image

im=imread('corner2.png');
figure

YCAyca

import numpy as np


def loss_function(prediction, ground_truth): #mean square error with batch size = 1
    cost = (ground_truth-prediction)**2
    return cost


def prediction(x,current_weights,current_bias): 
    y_predicted = np.sum((current_weights * x)) + current_bias

YCAyca

# import necessary layers  
from tensorflow.keras.layers import Input, Conv2D , Dropout, MaxPool2D, Flatten, Dense 
from tensorflow.keras import Model
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.regularizers import l2
import tensorflow as tf
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint
import os
import matplotlib.pyplot as plt
import sys

YCAyca

# -*- coding: utf-8 -*-
"""
Created on Wed Dec 29 20:56:04 2021

@author: aktas
"""

# import necessary layers  
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.regularizers import l2

YCAyca

# import necessary layers  
from tensorflow.keras.layers import Input, Conv2D , Dropout, MaxPool2D, Flatten, Dense 
from tensorflow.keras import Model
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.regularizers import l2
import tensorflow as tf
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint
import os
import matplotlib.pyplot as plt
import sys

YCAyca

# -*- coding: utf-8 -*-
"""
Created on Mon Jan  3 14:34:44 2022

@author: aktas
"""

# import necessary layers  
from tensorflow.keras.layers import Input, Conv2D , Dropout, MaxPool2D, Flatten, Dense,  Activation, BatchNormalization 
from tensorflow.keras import Model