OpenCV: Capture Video from Camera

[imsanjoykb]

# import the opencv library
import cv2

# define a video capture object
vid = cv2.VideoCapture(0)

while(True):

    # Capture the video frame
    # by frame
    ret, frame = vid.read()

    # Display the resulting frame
    cv2.imshow('frame', frame)

    # the 'q' button is set as the
    # quitting button you may use any
    # desired button of your choice
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# After the loop release the cap object
vid.release()
# Destroy all the windows
cv2.destroyAllWindows()

[koushik30027]

Solution: -

1. To access the camera, you need to set the path where the images taken from the camera are to be stored.
2. Make sure you have opencv installed Command : - !pip install opencv-python
3. Now use the below code : - import cv2 import uuid import os import time labels = ['pistol','knife','rifle','shotgun'] number_imgs = 5  By using above code lables are created so that pictures will be saved in respective folders and number_imgs is number of images to be taken. IMAGES_PATH = os.path.join('Tensorflow', 'workspace', 'images', 'collectedimages')  By using the above code we are defining the path.

if not os.path.exists(IMAGES_PATH): if os.name == 'posix': !mkdir -p {IMAGES_PATH} if os.name == 'nt': !mkdir {IMAGES_PATH} for label in labels: path = os.path.join(IMAGES_PATH, label) if not os.path.exists(path): !mkdir {path}  The Images path will be created inside virtual environment by using the above code.

for label in labels: cap = cv2.VideoCapture(0) print('Collecting images for {}'.format(label)) time.sleep(5) for imgnum in range(number_imgs): print('Collecting image {}'.format(imgnum)) ret, frame = cap.read() imgname = os.path.join(IMAGES_PATH,label,label+'.'+'{}.jpg'.format(str(uuid.uuid1()))) cv2.imwrite(imgname, frame) cv2.imshow('frame', frame) time.sleep(2)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release() cv2.destroyAllWindows()

 By using the above code the camera will open and take pictures and saved them automatically in the specified folders inside the virtual environment.