[PRE REVIEW]: StreamPoseML: An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning

[editorialbot]

Submitting author: !--author-handle-->@mrilikecoding<!--end-author-handle-- (N Green) Repository: https://github.com/mrilikecoding/StreamPoseML Branch with paper.md (empty if default branch): Version: v0.1.3 Editor: !--editor-->@arfon<!--end-editor-- Reviewers: @thejasvibr, @imcatta Managing EiC: Arfon Smith

Status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/9e420dbe0f1d8d697e7fee11789b3691"><img src="https://joss.theoj.org/papers/9e420dbe0f1d8d697e7fee11789b3691/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/9e420dbe0f1d8d697e7fee11789b3691/status.svg)](https://joss.theoj.org/papers/9e420dbe0f1d8d697e7fee11789b3691)

Author instructions

Thanks for submitting your paper to JOSS @mirlikecoding. Currently, there isn't a JOSS editor assigned to your paper.

@mirlikecoding if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

Editor instructions

The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:

@editorialbot commands

[editorialbot]

Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=2.91 s (272.9 files/s, 273818.8 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
JSON                           699              0              0         782901
Python                          59            877           1745           3962
Jupyter Notebook                 6              0           5055           1480
JavaScript                       9             57             52            373
Markdown                         5            167              0            325
YAML                             4             18             65            112
Bourne Shell                     4             25             17             90
CSS                              2             12              0             89
TeX                              1              0              0             79
TOML                             1              3              0             24
HTML                             1              3             20             20
Dockerfile                       2              8              2             18
INI                              1              0              0              2
SVG                              1              0              0              1
-------------------------------------------------------------------------------
SUM:                           795           1170           6956         789476
-------------------------------------------------------------------------------

gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 1189

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- None

MISSING DOIs

- 10.1109/anziis.1994.396988 may be a valid DOI for title: Weka: A machine learning workbench
- 10.32614/rj-2009-016 may be a valid DOI for title: Rattle: a data mining GUI for R
- 10.1038/nmeth.2019 may be a valid DOI for title: Fiji: an open-source platform for biological-image analysis
- 10.1093/bioinformatics/btt080 may be a valid DOI for title: eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows
- 10.1109/icfhr-2018.2018.00080 may be a valid DOI for title: Deepdiva: a highly-functional python framework for reproducible experiments
- 10.3390/s21113691 may be a valid DOI for title: End-to-end computer vision framework: An open-source platform for research and education

INVALID DOIs

- None

[editorialbot]

:warning: An error happened when generating the pdf. Problem with affiliations for Minoru Shinohara, perhaps the affiliations index need quoting?.

[arfon]

@mrilikecoding - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.

For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!

[arfon]

@editorialbot assign me as editor

[editorialbot]

Assigned! @arfon is now the editor

[arfon]

@mrilikecoding – thanks for your patience. I'm going to be the handling editor for this submission. Before we get started, could you please take a look at the error generating the paper (https://github.com/openjournals/joss-reviews/issues/6130#issuecomment-1848643516), and fix up your paper.md?

Also, as I start to look for possible reviewers, please share with me here any people that you think might be able to give this submission a good review.

[mrilikecoding]

@arfon no problem. I have fixed the yaml issue I believe - the action seems to have completed successfully.

[arfon]

@editorialbot generate pdf

[editorialbot]

:warning: An error happened when generating the pdf. Problem with affiliations for Minoru Shinohara, perhaps the affiliations index need quoting?.

[arfon]

@mrilikecoding – can you try merging this please https://github.com/mrilikecoding/StreamPoseML/pull/11

[mrilikecoding]

@arfon merged, thanks

[arfon]

@editorialbot generate pdf

[editorialbot]

:warning: An error happened when generating the pdf. Problem with affiliations for Minoru Shinohara, perhaps the affiliations index need quoting?.

[arfon]

@mrilikecoding – one more try: https://github.com/mrilikecoding/StreamPoseML/pull/12

[mrilikecoding]

Merged - thank you

[arfon]

@editorialbot generate pdf

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

Five most similar historical JOSS papers:

3D reconstruction toolbox for behavior tracked with multiple cameras Submitting author: @SwathiSheshadri Handling editor: @cMadan (Active) Reviewers: @danasolav, @sreschechtko Similarity score: 0.8418

Eyestream: An Open WebSocket-based Middleware for Serializing and Streaming Eye Tracker Event Data from Gazepoint GP3 HD Research Hardware Submitting author: @MLHale Handling editor: @cMadan (Active) Reviewers: @RingoHHuang, @adswa Similarity score: 0.8318

ADaPT-ML: A Data Programming Template for Machine Learning Submitting author: @nulberry Handling editor: @jmschrei (Active) Reviewers: @aaronpeikert, @wincowgerDEV Similarity score: 0.8224

DynaMo: Dynamic Body Shape and Motion Capture with Intel RealSense Cameras Submitting author: @abhishektha Handling editor: @labarba (Retired) Reviewers: @melund, @ixjlyons, @alcantarar Similarity score: 0.8181

SCONE: Open Source Software for Predictive Simulation of Biological Motion Submitting author: @tgeijten Handling editor: @Kevin-Mattheus-Moerman (Active) Reviewers: @modenaxe, @demotu Similarity score: 0.8180

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[arfon]

@SwathiSheshadri @MLHale @nulberry @abhishektha @tgeijten – :wave: would any of you be willing to review this submission for JOSS? The submission under consideration is StreamPoseML: An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning

The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html

Based on your experience, and past submissions as authors in JOSS, we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out!

Many thanks Arfon

[tgeijten]

@arfon sorry, this is outside my field of expertise

[arfon]

@aaa34169 @imcatta @thejasvibr – 👋 would any of you be willing to review this submission for JOSS? The submission under consideration is StreamPoseML: An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning

The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html

Based on your experience, we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out!

Many thanks Arfon

[thejasvibr]

Would be happy to review the package

On Mon, Feb 19, 2024, 9:36 AM Arfon Smith @.***> wrote:

@aaa34169 https://github.com/aaa34169 @imcatta https://github.com/imcatta @thejasvibr https://github.com/thejasvibr – 👋 would any of you be willing to review this submission for JOSS? The submission under consideration is StreamPoseML: An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning

The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html

Based on your experience, we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out!

Many thanks Arfon

— Reply to this email directly, view it on GitHub https://github.com/openjournals/joss-reviews/issues/6130#issuecomment-1951945483, or unsubscribe https://github.com/notifications/unsubscribe-auth/AC657MOC6VYRSQGHUNNVLW3YUMFH3AVCNFSM6AAAAABAN75DNKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSNJRHE2DKNBYGM . You are receiving this because you were mentioned.Message ID: @.***>

[arfon]

@editorialbot add @thejasvibr as reviewer

[editorialbot]

@thejasvibr added to the reviewers list!

[arfon]

Thanks for agreeing to review this package @thejasvibr – I'm still looking for a second reviewer here and so would like to wait until I find them before opening the main review issue. For now, please sit tight!

[imcatta]

I'm happy to review 👍

[arfon]

@editorialbot add @imcatta as reviewer

[editorialbot]

@imcatta added to the reviewers list!

[arfon]

@editorialbot start review

[editorialbot]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/6392.

[arfon]

@thejasvibr, @imcatta, @mrilikecoding – see you over in #6392 where the actual review will take place.