TASK 4

1.Creating Image Using Python Code.

Step 1: Install cv2 Module.

command : pip install opencv-python.

|| OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. ||

Step 2: Import cv2 and Numpy

Importing cv2 and numpy

Step 3: Create an Blank image using Numpy.

command : numpy.zeros((height,width,3))

numpy.zeros : It is having 3 colors in the form of

i.e , (B , G , R) = ( 0 , 0, 0 ) so ‘3’:BGR color

numpy.uint8 : Unsigned integer (0 to 255)

Step 4 : Start to draw the image as per your wish using some functions.

I have just created a nested for loop for assigning colors dividing the image

for i in range(h) : the range of height which we have given as 512

for j in range(w) : the range of width which we have given as 512

we have already intialized A in previous steps

Therefore, we start assigning colors to the given height and width.

step 4 : To see the output:

Syntax: cv2.imshow(window_name, image) #display image
cv2.waitkey(time in ms) # wait for a specific time in milliseconds
cv2.destroyAllWindows() # destroy the window after displaying the image

Output :

We Have Completed Task 4.1

Thank You..!!

2.Crop and Swap 2 images using Python

Step 1: Install cv2 Module.

command : pip install opencv-python.

|| OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. ||

Step 2: Import cv2 and Numpy

Importing cv2 module and Importing numpy as np

Step 3: Reading the First and Second photo

synatx : cv2.imread(‘filename’)

Step 4: Lets check Shape of the photo

synatx : variablename.shape

Shape of the 1 image

Shape of the second image

Step 5: Lets Join both the image horizontally:

As we have imported numpy as np so we have join horizontally by using

np.hstack(img1 , img2)

Step 6: Lets check the Image

Syntax: cv2.imshow(window_name, image) #display image
cv2.waitkey(time in ms) # wait for a specific time in milliseconds
cv2.destroyAllWindows() # destroy the window after displaying the image

Output :

Step 7: Crop the Second Photo

crop the Second Photo.

Swap the Photo.

and saved as the final_photo1.

Step 8: Crop the First Photo

Crop the First Photo

Swap the part with the second photo.

and Saved as the Final_photo2

Step 9: Again we will join the Photo Horizontally

As we have got the output

we will merge the image horizontally and save the image in variable name photo

Step 10: Output:

Output:

We Have Completed TASK 4.2

Thank you ..!!

3.Combine 2 Images to Form a Single Image

Step 1: Install cv2 Module.

command : pip install opencv-python.

|| OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. ||

Step 2: Import cv2 and Numpy

Importing cv2 module and Importing numpy

Importing cv2 and numpy

Step 3 : Lets Read and Display the Particular Image.

#syntax:

cv2.imread (‘image’) #reading the image

cv2.imshow(window_name, image) #display image
cv2.waitkey(time in ms) # wait for a specific time in milliseconds
cv2.destroyAllWindows() # destroy the window after displaying the image

Image 1 :

Output:

Image 2 :

#Same Syntax

#For Reading and Display the Image.

Output:

Step 4 : Lets Check The size of our Image

#syntax : variablename.shape

Step 5 : Crop or Resize the Photo

We will Crop or Resize the photo1 in the same shape of Photo2 to get an Proper Output with the Same Size in Height and Width.

Step 6: Attach The Image Horizontally.

we will attach both the image photo1_res and photo2 horizontally by using Numpy.

#numpy.hstack((image1 ,image2))

EX: we can see as the image in the form Collage

Step 7: Output:

Output:

We Have Completed Task 4.3

Hope you Find It Intresting..!!

Thank you..!!