opencv webcam

1import cv2
2
3cap = cv2.VideoCapture(0)
4
5# Check if the webcam is opened correctly
6if not cap.isOpened():
7    raise IOError("Cannot open webcam")
8
9while True:
10    ret, frame = cap.read()
11    frame = cv2.resize(frame, None, fx=0.5, fy=0.5, interpolation=cv2.INTER_AREA)
12    cv2.imshow('Input', frame)
13
14    c = cv2.waitKey(1)
15    if c == 27:
16        break
17
18cap.release()
19cv2.destroyAllWindows()

1import numpy as np
2import cv2
3cap = cv2.VideoCapture('videos/wa.avi')
4while(cap.isOpened()):
5  ret, frame = cap.read()
6  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
7  cv2.imshow('frame',gray)
8  if cv2.waitKey(1) & 0xFF == ord('q'):
9    break
10
11cap.release()
12cv2.destroyAllWindows()

1import cv2
2
3cap = cv2.VideoCapture(0)
4
5while True:
6  ret, frame = cap.read()
7  
8  cv2.imshow('webcam feed' , frame)
9  if cv2.waitKey(1) & 0xFF == ord(' '):
10    break
11    
12cap.release()
13cv2.destroyAllWindows()
14
15#by using the spacebar you will be able to finish the process of video capturing
16#in opencv and the window will close

1import cv2
2cap = cv2.VideoCapture()
3# The device number might be 0 or 1 depending on the device and the webcam
4cap.open(0, cv2.CAP_DSHOW)
5while(True):
6    ret, frame = cap.read()
7    cv2.imshow('frame', frame)
8    if cv2.waitKey(1) & 0xFF == ord('q'):
9        break
10cap.release()
11cv2.destroyAllWindows()

1import numpy as np
2import cv2
3
4cap = cv2.VideoCapture(0)
5
6while(True):
7    # Capture frame-by-frame
8    ret, frame = cap.read()
9
10    # Our operations on the frame come here
11    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
12
13    # Display the resulting frame
14    cv2.imshow('frame',gray)
15    if cv2.waitKey(1) & 0xFF == ord('q'):
16        break
17
18# When everything done, release the capture
19cap.release()
20cv2.destroyAllWindows()
21

1import cv2
2frameWidth = 640
3frameHeight = 480
4cap = cv2.VideoCapture(0)
5cap.set(3, frameWidth)
6cap.set(4, frameHeight)
7cap.set(10,150)
8while True:
9    success, img = cap.read()
10    cv2.imshow("Result", img)
11    if cv2.waitKey(1) and 0xFF == ord('q'):
12        break
13