StreamGear Examples⚓

StreamGear Live-Streaming Usage with PiGear⚓

In this example, we will be Live-Streaming video-frames from Raspberry Pi (with Camera Module connected) using PiGear API and StreamGear API's Real-time Frames Mode:

New in v0.2.2

This example was added in v0.2.2.

Use -window_size & -extra_window_size FFmpeg parameters for controlling number of frames to be kept in Chunks. Less these value, less will be latency.

After every few chunks (equal to the sum of -window_size & -extra_window_size values), all chunks will be overwritten in Live-Streaming. Thereby, since newer chunks in manifest/playlist will contain NO information of any older ones, and therefore resultant DASH/HLS stream will play only the most recent frames.

In this mode, StreamGear DOES NOT automatically maps video-source audio to generated streams. You need to manually assign separate audio-source through -audio attribute of stream_params dictionary parameter.

DASHHLS

# import required libraries
from vidgear.gears import PiGear
from vidgear.gears import StreamGear
import cv2

# add various Picamera tweak parameters to dictionary
options = {
    "hflip": True,
    "exposure_mode": "auto",
    "iso": 800,
    "exposure_compensation": 15,
    "awb_mode": "horizon",
    "sensor_mode": 0,
}

# open pi video stream with defined parameters
stream = PiGear(resolution=(640, 480), framerate=60, logging=True, **options).start()

# enable livestreaming and retrieve framerate from CamGear Stream and
# pass it as `-input_framerate` parameter for controlled framerate
stream_params = {"-input_framerate": stream.framerate, "-livestream": True}

# describe a suitable manifest-file location/name
streamer = StreamGear(output="dash_out.mpd", **stream_params)

# loop over
while True:

    # read frames from stream
    frame = stream.read()

    # check for frame if Nonetype
    if frame is None:
        break

    # {do something with the frame here}

    # send frame to streamer
    streamer.stream(frame)

    # Show output window
    cv2.imshow("Output Frame", frame)

    # check for 'q' key if pressed
    key = cv2.waitKey(1) & 0xFF
    if key == ord("q"):
        break

# close output window
cv2.destroyAllWindows()

# safely close video stream
stream.stop()

# safely close streamer
streamer.terminate()

# import required libraries
from vidgear.gears import PiGear
from vidgear.gears import StreamGear
import cv2

# add various Picamera tweak parameters to dictionary
options = {
    "hflip": True,
    "exposure_mode": "auto",
    "iso": 800,
    "exposure_compensation": 15,
    "awb_mode": "horizon",
    "sensor_mode": 0,
}

# open pi video stream with defined parameters
stream = PiGear(resolution=(640, 480), framerate=60, logging=True, **options).start()

# enable livestreaming and retrieve framerate from CamGear Stream and
# pass it as `-input_framerate` parameter for controlled framerate
stream_params = {"-input_framerate": stream.framerate, "-livestream": True}

# describe a suitable manifest-file location/name
streamer = StreamGear(output="hls_out.m3u8", format = "hls", **stream_params)

# loop over
while True:

    # read frames from stream
    frame = stream.read()

    # check for frame if Nonetype
    if frame is None:
        break

    # {do something with the frame here}

    # send frame to streamer
    streamer.stream(frame)

    # Show output window
    cv2.imshow("Output Frame", frame)

    # check for 'q' key if pressed
    key = cv2.waitKey(1) & 0xFF
    if key == ord("q"):
        break

# close output window
cv2.destroyAllWindows()

# safely close video stream
stream.stop()

# safely close streamer
streamer.terminate()

Last update: October 7, 2021