OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human.
cv2.putText()
method inserts a text on the video frame at the desired position specified by the user. We can style the type of font and also it’s color and thickness.
Syntax : cv2.putText(frame, Text, org, font, color, thickness)
Parameters:
frame: current running frame of the video.
Text: The text string to be inserted.
org: bottom-left corner of the text string
font: the type of font to be used.
color: the colour of the font.
thickness: the thickness of the font
Example:
# Python program to write # text on video import cv2 cap = cv2.VideoCapture( 'sample_vid.mp4' ) while ( True ): # Capture frames in the video ret, frame = cap.read() # describe the type of font # to be used. font = cv2.FONT_HERSHEY_SIMPLEX # Use putText() method for # inserting text on video cv2.putText(frame, 'TEXT ON VIDEO' , ( 50 , 50 ), font, 1 , ( 0 , 255 , 255 ), 2 , cv2.LINE_4) # Display the resulting frame cv2.imshow( 'video' , frame) # creating 'q' as the quit # button for the video if cv2.waitKey( 1 ) & 0xFF = = ord ( 'q' ): break # release the cap object cap.release() # close all windows cv2.destroyAllWindows() |
Output:
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