palaashatri

# Enter your code here. Read input from STDIN. Print output to STDOUT
import collections

x = int(input())
str_num = input().split( )
numbers = []
for num in str_num:
    numbers.append(int(num))

palaashatri

# A simple program that captures video from webcam and displays it on the screen
import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while(True):
    ret,frame = cap.read()

    frame = cv2.resize(frame,(0,0),fx = 0.5, fy = 0.5)

palaashatri

import numpy as np
import cv2

# Global Variables
canvas = np.ones([500,500,3],'uint8')*255
radius = 3
color = (0,255,0)
pressed = False

# click callback

palaashatri

import numpy as np
import cv2

black = np.zeros([150,200,1],'uint8')
cv2.imshow("Black",black)
print(black[0,0,:])

ones = np.ones([15,200,3],'uint8')
cv2.imshow("Ones",ones)
print(ones[0,0,:])

palaashatri

import numpy as np
import cv2

image = cv2.imread("image.jpg")
cv2.imshow("Original",image)

#@ Gaussian Blur :
# Gaussian Blur filter smooths an image by averaging pixel values with its neighbors. 
# It's called a Gaussian Blur because the average has a Gaussian falloff effect. 
# In other words, pixels that are closer to the target pixel have a higher impact with the average than pixels that are far away. 

palaashatri

import numpy as np
import cv2

color = cv2.imread("image.jpg",1) # Read image in color (1) mode
cv2.imshow("Image",color)
cv2.moveWindow("Image",0,0)
print(color.shape)
height,width,channels = color.shape

b,g,r = cv2.split(color) # Split image into Blue, Green and Red channels

palaashatri

import numpy as np
import cv2

img = cv2.imread("image.jpg")

# Scale
img_half = cv2.resize(img,(0,0),fx=0.5,fy=0.5)
img_stretch = cv2.resize(img,(600,600))
img_stretch_near = cv2.resize(img,(600,600),interpolation=cv2.INTER_NEAREST)

palaashatri

import numpy as np
import cv2

bw = cv2.imread("image.pmg",0) # read as BmW
height,width = bw.shape[0:2]
cv2.imshow("Original BW",bw)

binary = np.zeros([height,width,1],'uint8')

thresh = 85

palaashatri

#!/usr/bin/env python3
 
"""Simple HTTP Server With Upload.

This module builds on BaseHTTPServer by implementing the standard GET
and HEAD requests in a fairly straightforward manner.

see: https://gist.github.com/UniIsland/3346170
"""
 

palaashatri

• Install and run docker engine, git and curl -

sudo apt-get update
sudo apt-get install git -y
sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg-agent \
    software-properties-common -y