https://github.com/SimLeek/displayarray

A OpenCV interface to display tensors, multiple cameras, and so on.
https://github.com/SimLeek/displayarray

display-tensors numpy python pytorch tensorflow video webcam

Last synced: about 1 month ago
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A OpenCV interface to display tensors, multiple cameras, and so on.

• Host: GitHub
• URL: https://github.com/SimLeek/displayarray
• Owner: SimLeek
• License: mit
• Created: 2017-12-25T02:24:18.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2024-08-10T00:55:13.000Z (3 months ago)
• Last Synced: 2024-10-13T03:05:44.928Z (about 1 month ago)
• Topics: display-tensors, numpy, python, pytorch, tensorflow, video, webcam
• Language: Python
• Homepage:
• Size: 31.6 MB
• Stars: 12
• Watchers: 3
• Forks: 3
• Open Issues: 9
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.md

Awesome Lists containing this project

README

        
displayarray

============

A library for displaying arrays as video in Python.

Display arrays while updating them

----------------------------------

.. figure:: https://i.imgur.com/UEt6iR6.gif

   :alt: 

::

    from displayarray import display

    import numpy as np

    arr = np.random.normal(0.5, 0.1, (100, 100, 3))

    with display(arr) as d:

        while d:

            arr[:] += np.random.normal(0.001, 0.0005, (100, 100, 3))

            arr %= 1.0

Run functions on 60fps webcam or video input

--------------------------------------------

|image0|

(Video Source: https://www.youtube.com/watch?v=WgXQ59rg0GM)

::

    from displayarray import display

    import math as m

    def forest_color(arr):

        forest_color.i += 1

        arr[..., 0] = (m.sin(forest_color.i*(2*m.pi)*4/360)*255 + arr[..., 0]) % 255

        arr[..., 1] = (m.sin((forest_color.i * (2 * m.pi) * 5 + 45) / 360) * 255 + arr[..., 1]) % 255

        arr[..., 2] = (m.cos(forest_color.i*(2*m.pi)*3/360)*255 + arr[..., 2]) % 255

    forest_color.i = 0

    display("fractal test.mp4", callbacks=forest_color, blocking=True, fps_limit=120)

Display tensors as they're running through TensorFlow or PyTorch

----------------------------------------------------------------

.. figure:: https://i.imgur.com/TejCpIP.png

   :alt: 

::

    # see test_display_tensorflow in test_simple_apy for full code.

    ...

    autoencoder.compile(loss="mse", optimizer="adam")

    while displayer:

        grab = tf.convert_to_tensor(

            displayer.FRAME_DICT["fractal test.mp4frame"][np.newaxis, ...].astype(np.float32)

            / 255.0

        )

        grab_noise = tf.convert_to_tensor(

            (((displayer.FRAME_DICT["fractal test.mp4frame"][np.newaxis, ...].astype(

                np.float32) + np.random.uniform(0, 255, grab.shape)) / 2) % 255)

            / 255.0

        )

        displayer.update((grab_noise.numpy()[0] * 255.0).astype(np.uint8), "uid for grab noise")

        autoencoder.fit(grab_noise, grab, steps_per_epoch=1, epochs=1)

        output_image = autoencoder.predict(grab, steps=1)

        displayer.update((output_image[0] * 255.0).astype(np.uint8), "uid for autoencoder output")

Handle input events

-------------------

Mouse events captured whenever the mouse moves over the window:

::

    event:0

    x,y:133,387

    flags:0

    param:None

Code:

::

    from displayarray.input import mouse_loop

    from displayarray import display

    @mouse_loop

    def print_mouse_thread(mouse_event):

        print(mouse_event)

    display("fractal test.mp4", blocking=True)

Installation

------------

displayarray is distributed on `PyPI `__ as a

universal wheel in Python 3.6+ and PyPy.

::

    $ pip install displayarray

Usage

-----

API has been generated `here `_.

See tests and examples for example usage.

License

-------

displayarray is distributed under the terms of both

-  `MIT License `__

-  `Apache License, Version

   2.0 `__

at your option.

.. |image0| image:: https://thumbs.gfycat.com/AbsoluteEarnestEelelephant-size_restricted.gif

   :target: https://gfycat.com/absoluteearnesteelelephant