output.screen

Description

Shows the outputs on your display.

class Node(config=None, **kwargs)[source]

Streams the output on your display.

Inputs

img (numpy.ndarray): A NumPy array of shape \((height, width, channels)\) containing the image data in BGR format.

filename (str): The filename of video/image being read.

Outputs

pipeline_end (bool): A boolean that evaluates to True when the pipeline is completed. Suitable for operations that require the entire inference pipeline to be completed before running.

Configs

  • window_name (str) – default = “PeekingDuck”
    Name of the displayed window.

  • window_size (Dict[str, Union[bool, int]]) – default = { do_resizing: False, width: 1280, height: 720 }
    Resizes the displayed window to the chosen width and weight, if do_resizing is set to true. The size of the displayed window can also be adjusted by clicking and dragging.

  • window_loc (Dict[str, int]) – default = { x: 0, y: 0 }
    X and Y coordinates of the top left corner of the displayed window, with reference from the top left corner of the screen, in pixels.

Note

See Also:

PeekingDuck Viewer: a GUI for running PeekingDuck pipelines.

../_images/viewer_cat_computer.png

The PeekingDuck Viewer offers a GUI to view and analyze pipeline output. It has controls to re-play output video, scrub to a frame of interest, zoom video, and a playlist for managing multiple pipelines.