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import panel as pn

The VideoStream widget displays a video from a local stream (for example from a webcam) and allows accessing the streamed video data from Python.

For more information about listening to widget events and laying out widgets refer to the widgets user guide. Alternatively you can learn how to build GUIs by declaring parameters independently of any specific widgets in the param user guide. To express interactivity entirely using Javascript without the need for a Python server take a look at the links user guide.


For layout and styling related parameters see the customization user guide.

  • format (str): Format of the captured images, either ‘png’ or ‘jpeg’

  • paused (boolean): Whether the video stream is paused

  • timeout (int): Interval between snapshots (if None then snapshot only taken if snapshot method is called)

  • value (string): String representation of the current snapshot

The VideoStream widget by default simply displays the video stream:

video_stream = pn.widgets.VideoStream(name='Video Stream')

To sync the state of the stream with Python we have two options. First, we can call the snapshot method, which will trigger the value of the widget to be updated:


html = pn.pane.HTML(width=320, height=240)

def update(event):
    html.object = '<img src="''" width=320 height=240 />', 'value')


Alternatively, we can create a video stream with a timeout that specifies how frequently the video stream will be updated:

video = pn.widgets.VideoStream(timeout=100)
html = pn.pane.HTML()
pause = pn.widgets.Toggle(name='Pause')

pause.jslink(video, value='paused')
video.jslink(html, code={'value': """
target.text = `<img src="${source.value}" width=320 height=240 />`

pn.Column(pause, pn.Row(video, html))

Lastly, the video stream can also be paused from Python:

video.paused = True


The VideoStream widget exposes a number of options which can be changed from both Python and Javascript. Try out the effect of these parameters interactively:

pn.Row(video_stream.controls(jslink=True), video_stream)
This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.

Download this notebook from GitHub (right-click to download).