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import requests
from bs4 import BeautifulSoup
@haider11234
haider11234 / sdas.py
Last active May 8, 2020 14:27
dsds.py
import requests
from bs4 import BeauftifulSoup
url="https://www.zillow.com/homes/872-OLD-HICKORY-RD--PITTSBURGH,-PA-15243_rb/11659068_zpid/"
r=requests.get(ur)
print(r)
import requests
from bs4 import BeauftifulSoup
req_headers = {
'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'en-US,en;q=0.8',
'upgrade-insecure-requests': '1',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'
}
@haider11234
haider11234 / reading
Created June 23, 2020 12:30
reading image
import cv2
# colored Image
Img = cv2.imread ("image.png",1)
# Black and White (gray scale)
Img_1 = cv2.imread ("image.png",0)
@haider11234
haider11234 / reading.py
Last active June 23, 2020 12:47
reading_image
import cv2
# colored Image
Img = cv2.imread ("image.png",1)
# Black and White (gray scale)
Img_1 = cv2.imread ("image.png",0)
import cv2
# Black and White (gray scale)
Img = cv2.imread ("image.png";,0)
cv2.imshow("image.png";, img)
cv2.waitKey(0)
# cv2.waitKey(2000)
cv2.destroyAllWindows()
@haider11234
haider11234 / function.py
Created June 23, 2020 12:57
resolution
Import cv2
# Black and White (gray scale)
Img = cv2.imread ("image.png",0)
print(img.shape)
import cv2
# Black and White (gray scale)
img = cv2.imread (“Penguins.jpg”,0)
resized_image = cv2.resize(img, (650,500))
cv2.imshow("image.png", resized_image)
cv2.waitKey(0)
@haider11234
haider11234 / Gaussian.py
Created June 23, 2020 14:43
Gaussian Blur
import cv2
import numpy as np
image = cv2.imread('fruits.jpg')
cv2.imshow('Original Image', image)
cv2.waitKey(0)
# Gaussian Blur
Gaussian = cv2.GaussianBlur(image, (7, 7), 0)
@haider11234
haider11234 / Gaussian.py
Created June 23, 2020 14:43
Gaussian Blur
import cv2
import numpy as np
image = cv2.imread('C://Geeksforgeeks//image_processing//fruits.jpg')
cv2.imshow('Original Image', image)
cv2.waitKey(0)
# Gaussian Blur
Gaussian = cv2.GaussianBlur(image, (7, 7), 0)