Image-Acquisition-from-Web-Camera

Aim

Aim:

To write a python program using OpenCV to capture the image from the web camera and do the following image manipulations. i) Write the frame as JPG ii) Display the video iii) Display the video by resizing the window iv) Rotate and display the video

Software Used

Anaconda - Python 3.7

Algorithm

Step 1:

Import cv2 and capture the video using cv2.VideoCapture(0).

Step 2:

Write the captured image using cv2.imwrite("NewPicture.jpg",frame).

Step 3:

Resize the image using cv2.resize(frame, (0,0), fx = 0.5, fy=0.5).

Step 4:

Display the image until the loop gets over.

Step 5:

Rotate the image using cv2.rotate(smaller_frame,cv2.cv2.ROTATE_180).

Program:

Developed bY:SWATHIKA G

Register No:212221230113

i) Write the frame as JPG file

import cv2
img = cv2.VideoCapture(0)
while(True):
    imagee,frame = img.read()
    cv2.imshow('myimage',frame)
    if cv2.waitKey(1) == ord('c'):
        break
img.release()
cv2.destroyAllWindows(

ii) Display the video

import cv2
video = cv2.VideoCapture(0)
while (True):
    cap,frame=video.read()
    cv2.imshow('Capturing Video',frame)
    if cv2.waitKey(1) == ord('q'):
        break
video.release()

iii) Display the video by resizing the window

import cv2
import numpy as np
img  = cv2.VideoCapture(0)
while True:
    pic,frame = img.read()
    width = int(img.get(3))
    height = int(img.get(4))
    image = np.zeros(frame.shape, np.uint8)
    small_frame = cv2.resize(frame,(0,0),fx =0.5, fy = 0.5)
    image[:height//2, :width//2]=small_frame
    image[height//2:, :width//2]=small_frame
    image[:height//2, width//2:]=small_frame
    image[height//2:, width//2:]=small_frame
    cv2.imshow('myimage',image)
    if cv2.waitKey(1) == ord('c'):
        break
img.release()
cv2.destroyAllWindows()

iv) Rotate and display the video

import cv2
import numpy as np
img  = cv2.VideoCapture(0)
while True:
    pic,frame = img.read()
    width = int(img.get(3))
    height = int(img.get(4))
    image = np.zeros(frame.shape, np.uint8)
    small_frame = cv2.resize(frame,(0,0),fx =0.5, fy = 0.5)
    image[:height//2, :width//2]=cv2.rotate(small_frame,cv2.ROTATE_180)
    image[height//2:, :width//2]=small_frame
    image[:height//2, width//2:]=small_frame
    image[height//2:, width//2:]=cv2.rotate(small_frame,cv2.ROTATE_180)
    cv2.imshow('myimage',image)
    if cv2.waitKey(1) == ord('c'):
        break
img.release()
cv2.destroyAllWindows()

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