aishwarya-singh25

#importing the required libraries
import numpy as np
from skimage.io import imread, imshow
from skimage.filters import prewitt_h,prewitt_v
import matplotlib.pyplot as plt
%matplotlib inline

#reading the image 
image = imread('puppy.jpeg',as_gray=True)

aishwarya-singh25

#creating hog features 
fd, hog_image = hog(resized_img, orientations=9, pixels_per_cell=(8, 8), 
                    cells_per_block=(2, 2), visualize=True, multichannel=True)

aishwarya-singh25

from skimage import exposure

#adjusting brightness
image = imread('images.jpeg')
image_bright = exposure.adjust_gamma(image, gamma=0.5,gain=1)
image_dark = exposure.adjust_gamma(image, gamma=1.5,gain=1)

# plotting images
plt.subplot(131), imshow(image)
plt.title('Original Image')

aishwarya-singh25

import cv2 
import matplotlib.pyplot as plt
%matplotlib inline

# read images
img1 = cv2.imread('eiffel_2.jpeg')  
img2 = cv2.imread('eiffel_1.jpg') 

img1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
img2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)

aishwarya-singh25

#training k-means model
from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters=4)
kmeans.fit(data)

#predictions from kmeans
pred = kmeans.predict(data)
frame = pd.DataFrame(data)
frame['cluster'] = pred
frame.columns = ['Weight', 'Height', 'cluster']

aishwarya-singh25

import pandas as pd
data = pd.read_csv('Train_SU63ISt.csv')
data['Datetime'] = pd.to_datetime(data['Datetime'],format='%d-%m-%Y %H:%M')
data.dtypes

aishwarya-singh25

#loading data
import pandas as pd
data = pd.read_csv('train_LZdllcl.csv')

#data summary
data.info()

aishwarya-singh25

filter_update = []
for i in range(f.shape[2]):
    for j in range(f.shape[0]):
        for k in range(f.shape[1]):            
            temp = 0
            spos_row = j
            spos_col = k
            epos_row = spos_row + s_row
            epos_col = spos_col + s_col
            for l in range(X.shape[2]):

aishwarya-singh25

import matplotlib.pyplot as plt
import matplotlib.patches as patches

image = plt.imread('index.jpg')

# draw emtpy figure
fig = plt.figure()

# define axis
ax = fig.add_axes([0, 0, 1, 1])