https://github.com/simleek/displayarray

A OpenCV interface to display tensors, multiple cameras, and so on.

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
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DOI references
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Committers with academic emails
1 of 5 committers (20.0%) from academic institutions
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Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary

Keywords

display-tensors numpy python pytorch tensorflow video webcam

Last synced: 6 months ago · JSON representation

Repository

A OpenCV interface to display tensors, multiple cameras, and so on.

Basic Info

Host: GitHub
Owner: SimLeek
License: mit
Language: Python
Default Branch: master
Homepage:
Size: 31.6 MB

Statistics

Stars: 12
Watchers: 1
Forks: 3
Open Issues: 9
Releases: 13

Topics

display-tensors numpy python pytorch tensorflow video webcam

Created about 8 years ago · Last pushed over 1 year ago

Metadata Files

Readme License

README.rst

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

Owner

Login: SimLeek
Kind: user

Repositories: 21
Profile: https://github.com/SimLeek

Just having fun and trying to make some smart robots.

GitHub Events

Total

Last Year

Committers

Last synced: almost 3 years ago

All Time

Total Commits: 215
Total Committers: 5
Avg Commits per committer: 43.0
Development Distribution Score (DDS): 0.051

Top Committers

Name	Email	Commits
SimLeek	j**s@g**m	204
SimLeek	s**k@g**m	7
John	j**e@a**u	2
Nelson Chen	c**m@g**m	1
Josh Miklos	s**k@g**m	1

Committer Domains (Top 20 + Academic)

asu.edu: 1

Issues and Pull Requests

Last synced: over 1 year ago

All Time

Total issues: 17
Total pull requests: 30
Average time to close issues: 8 months
Average time to close pull requests: 6 days
Total issue authors: 3
Total pull request authors: 3
Average comments per issue: 0.88
Average comments per pull request: 0.03
Merged pull requests: 28
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

SimLeek (15)
Ajinkz (1)
ldpgh (1)

Pull Request Authors

SimLeek (27)
nelsonjchen (2)
sampanes (1)

Top Labels

Issue Labels

enhancement (7) required feature (1) bug (1)

Pull Request Labels

Packages

Total packages: 2
Total downloads:
- pypi 63 last-month
Total docker downloads: 133,310

Total dependent packages: 0
(may contain duplicates)
Total dependent repositories: 2
(may contain duplicates)
Total versions: 15
Total maintainers: 1

pypi.org: displayarray

Tool for displaying numpy arrays.

Documentation: https://displayarray.readthedocs.io/
License: MIT
Latest release: 1.3.1
published over 3 years ago

Versions: 13
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 39 Last month

Rankings

Dependent packages count: 10.0%

Average: 17.6%

Downloads: 21.2%

Dependent repos count: 21.7%

Maintainers (1)

SimLeek

Last synced: 6 months ago

pypi.org: svtk

Streaming addons for VTK

Documentation: https://svtk.readthedocs.io/
License: MIT
Latest release: 0.2.0
published over 3 years ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 24 Last month
Docker Downloads: 133,310

Rankings

Docker downloads count: 1.1%

Dependent packages count: 10.1%

Average: 21.3%

Dependent repos count: 21.6%

Downloads: 52.5%

Maintainers (1)

SimLeek

Last synced: 6 months ago

Dependencies

setup.py pypi

docopt ==0.6.2
localpubsub ==0.0.4
numpy >=1.14.5
opencv-python ==4.
pyzmq >=22.0.3
tensorcom *

.github/workflows/publish.yml actions

actions/checkout v1 composite
actions/setup-python v1 composite
pypa/gh-action-pypi-publish master composite

.github/workflows/pythonpackage.yml actions

actions/checkout v1 composite
actions/setup-python v1 composite