Debugging With the Streamer¶
View Videos, Images, and Text Data¶
Many devices won’t have a graphical connection set up, so the Streamer is
provided to make debugging easier. The
Streamer class can be used
to display real-time and batch-processed video, image, and text data.
For real-time streaming, use the following command to initialize and start the Streamer:
with edgeiq.Streamer() as streamer:
To update the Streamer with the latest video frame and text data, use the
The text field takes in a list of strings, and each string will be displayed on its own line in the output section of the Streamer.
Once the Streamer starts, it will print a link in the console logs.
[INFO] Streamer started at http://localhost:5000
To display batch-processed images in a format similar to a slideshow,
set the queue depth large enough to store all processed images and set the
desired delay between frames. Then call the
wait() function once all images have been
added to the queue to keep the server up for all images to be displayed:
with edgeiq.Streamer( queue_depth=len(image_paths), inter_msg_time=3) as streamer: for image in image_paths: ... <some code> ... streamer.send_data(image, text) streamer.wait()
The Streamer will be automatically cleaned up when the code block exits.
Stop Your App With the Streamer¶
The Streamer can also be used to stop your app using the red stop button
in the output box. For real-time apps, the
check_exit() function will return true
if the stop button has been pressed, so it can be used to exit long-running
while True: # Perform processing ... if streamer.check_exit(): break
For batch-processing mode, the stop button status is checked in the
wait() function and will exit at the next