streaming video python vidgear
# import required libraries
from vidgear.gears import VideoGear
import numpy as np
import cv2
# open any valid video stream with stabilization enabled(`stabilize = True`)
stream_stab = VideoGear(source = "test.mp4", stabilize = True).start()
# open same stream without stabilization for comparison
stream_org = VideoGear(source = "test.mp4").start()
# loop over
while True:
# read stabilized frames
frame_stab = stream_stab.read()
# check for stabilized frame if Nonetype
if frame_stab is None:
break
# read un-stabilized frame
frame_org = stream_org.read()
# concatenate both frames
output_frame = np.concatenate((frame_org, frame_stab), axis=1)
# put text over concatenated frame
cv2.putText(
output_frame, "Before", (10, output_frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX,
0.6, (0, 255, 0), 2,
)
cv2.putText(
output_frame, "After", (output_frame.shape[1] // 2 + 10, output_frame.shape[0] - 10),
cv2.FONT_HERSHEY_SIMPLEX,
0.6, (0, 255, 0), 2,
)
# Show output window
cv2.imshow("Stabilized Frame", output_frame)
# check for 'q' key if pressed
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
# close output window
cv2.destroyAllWindows()
# safely close both video streams
stream_org.stop()
stream_stab.stop()
Outstanding Oystercatcher