semvec/pypi-packages huggingface dataset:
bob.ip.optflow.liu 2.0.18
Ce Liu's Optical Flow Framework for Bob
License: BSD

.. vim: set fileencoding=utf-8 :
.. Mon 15 Aug 2016 18:41:03 CEST

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.optflow.liu/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.ip.optflow.liu/badges/v2.0.18/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.optflow.liu/commits/v2.0.18
.. image:: https://gitlab.idiap.ch/bob/bob.ip.optflow.liu/badges/v2.0.18/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.optflow.liu/commits/v2.0.18
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.optflow.liu


======================================
 Liu's Optical Flow Framework for Bob
======================================

This package is part of the signal-processing and machine learning toolbox
Bob_. It contains a simple Python wrapper to the open-source Optical Flow
estimator developed by C. Liu during his Ph.D.  The code was originally
conceived to operate over Matlab. This is a Python/`Bob`_ port.  If you use
this code, the author asks you to cite his thesis::

  @phdthesis{Liu_PHD_2009,
    title = {{Beyond Pixels: Exploring New Representations and Applications for Motion Analysis}},
    author = {Liu, Ce},
    institution = {{Massachusetts Institute of Technology}},
    year = {2009},
    type = {{Ph.D. Thesis}},
  }


Installation
------------

Complete Bob's `installation`_ instructions. Then, to install this package,
run::

  $ conda install bob.ip.optflow.liu


Contact
-------

For questions or reporting issues to this software package, contact our
development `mailing list`_.


.. Place your references here:
.. _bob: https://www.idiap.ch/software/bob
.. _installation: https://www.idiap.ch/software/bob/install
.. _mailing list: https://www.idiap.ch/software/bob/discuss
.. _liu's homepage: http://people.csail.mit.edu/celiu/OpticalFlow
firmware_uploader 0.4.0
Uploads firmware to multiple embedded devices.
License: BSD

firmware_uploader_python
========================

Uploads firmware to multiple embedded devices.

Authors::

    Peter Polidoro <peterpolidoro@gmail.com>

License::

    BSD

Example Usage::

    fu -e teensy40 -d https://github.com/janelia-arduino/YArenaValveController "(/dev/ttyACM)[0-2]"
    # Environment: teensy40
    # Dry Run: True
    # Firmware URL: https://github.com/janelia-arduino/YArenaValveController
    # Upload ports: ['/dev/ttyACM0', '/dev/ttyACM1', '/dev/ttyACM2']
    # Do you want to continue? [y/N]: y
    # Cloning into 'YArenaValveController'...
    #remote: Enumerating objects: 118, done.
    # remote: Counting objects: 100% (118/118), done.
    # remote: Compressing objects: 100% (78/78), done.
    # remote: Total 118 (delta 65), reused 88 (delta 35), pack-reused 0
    # Receiving objects: 100% (118/118), 19.79 KiB | 2.47 MiB/s, done.
    # Resolving deltas: 100% (65/65), done.
    # ['stty', '-F', '/dev/ttyACM0', '134']
    # ['pio', 'run', '-e', 'teensy40', '--target', 'upload', '--upload-port', '/dev/ttyACM0']
    # ['stty', '-F', '/dev/ttyACM1', '134']
    # ['pio', 'run', '-e', 'teensy40', '--target', 'upload', '--upload-port', '/dev/ttyACM1']
    # ['stty', '-F', '/dev/ttyACM2', '134']
    # ['pio', 'run', '-e', 'teensy40', '--target', 'upload', '--upload-port', '/dev/ttyACM2']

    fu -e teensy40 https://github.com/janelia-arduino/YArenaValveController "(/dev/ttyACM)[0-2]"
    # Environment: teensy40
    # Dry Run: False
    # Firmware URL: https://github.com/janelia-arduino/YArenaValveController
    # Upload ports: ['/dev/ttyACM0', '/dev/ttyACM1', '/dev/ttyACM2']
    # Do you want to continue? [y/N]:

    fu -e teensy40 ./git/arduino/YArenaValveController/ "(/dev/ttyACM)[0-2]"
    # Environment: teensy40
    # Dry Run: False
    # Firmware URL: ./git/arduino/YArenaValveController/
    # Upload ports: ['/dev/ttyACM0', '/dev/ttyACM1', '/dev/ttyACM2']
    # Do you want to continue? [y/N]: