Joss-reviews: [PRE REVIEW]: pystiche: A Framework for Neural Style Transfer

[whedon]

Submitting author: @pmeier (Philip Meier)
Repository: https://github.com/pmeier/pystiche
Version: v0.6.1
Editor: @kthyng
Reviewers: @kthyng
Managing EiC: Kristen Thyng

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Author instructions

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

The author's suggestion for the handling editor is @arfon.

@pmeier if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).

Editor instructions

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

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[whedon]

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

:warning: JOSS reduced service mode :warning:

Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.

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

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

@whedon generate pdf

[whedon]

Failed to discover a Statement of need section in paper

[whedon]

Software report (experimental):

github.com/AlDanial/cloc v 1.84  T=2.63 s (67.6 files/s, 6937.8 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                         132           3801           1756          10566
YAML                            10             99             41            394
reStructuredText                27            276            481            358
INI                              3             25              9            153
TeX                              2             16              1            106
TOML                             1              9              6             60
Markdown                         1             12              0             57
DOS Batch                        1              8              1             26
make                             1              4              7              9
-------------------------------------------------------------------------------
SUM:                           178           4250           2302          11729
-------------------------------------------------------------------------------


Statistical information for the repository '48f970e7cb203db4a573b3e3' was
gathered on 2020/10/09.
The following historical commit information, by author, was found:

Author                     Commits    Insertions      Deletions    % of changes
Philip Meier                   309         66560          51574           98.93
jbueltemeier                     1          1174              1            0.98
sourcery-ai[bot]                 1            31             67            0.08

Below are the number of rows from each author that have survived and are still
intact in the current revision:

Author                     Rows      Stability          Age       % in comments
Philip Meier              16110           24.2          3.8                4.63
sourcery-ai[bot]             13           41.9          3.7                0.00

[whedon]

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

OK DOIs

- 10.1109/CVPR.2016.265 is OK
- 10.1109/CVPR.2016.272 is OK
- 10.1109/CVPR.2017.397 is OK
- 10.1145/3092919.3092920 is OK
- 10.1007/978-3-319-46475-6_43 is OK
- 10.1007/978-3-030-01234-2_49 is OK
- 10.1109/TVCG.2019.2921336 is OK

MISSING DOIs

- 10.1109/cvpr.2015.7299155 may be a valid DOI for title: Understanding Deep Image Representations by Inverting Them
- 10.1007/springerreference_62539 may be a valid DOI for title: Non-Photorealistic Rendering

INVALID DOIs

- None

[whedon]

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

[kthyng]

Hi @pmeier! Thank you for your submission. Can you add a statement of need to your paper?

[kthyng]

@pmeier Also I've read through your paper several times but I'm having a hard time figuring out a few categories of where this software fits in order to match it up with our editors. You suggested arfon as editor when you submitted but that doesn't seem like a good match to me. We don't have someone who does image processing in particular, but some who do machine learning in particular domains. Does this work fit into a particular domain?

[pmeier]

Hey @kthyng

Also I've read through your paper several times but I'm having a hard time figuring out a few categories of where this software fits in order to match it up with our editors. You suggested arfon as editor when you submitted but that doesn't seem like a good match to me.

pystiche was already reviewed in pyOpenSci/software-review#25 in a previous step. The editor @NickleDave "tasked" me to submit to JOSS. In the same comment he tagged @arfon, hence my suggestion.

We don't have someone who does image processing in particular, but some who do machine learning in particular domains. Does this work fit into a particular domain?

Yes, machine learning plays a big role in the project. Looking through your list of editors I think Juan Nunez-Iglesias (jni) would also be a good fit since he is listed for Python and image processing.

[kthyng]

@pmeier Ah! I am sorry I missed your note with the original submission. In that case, your submission doesn't need a separate review so I can just process this for you.

[kthyng]

@whedon assign me as editor

[whedon]

OK, the editor is @kthyng

[kthyng]

@whedon generate pdf

[whedon]

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

[kthyng]

Ok so @pmeier let me know when you have added a statement of need and I think we can proceed through the much shortened process since this came from pyopensci.

[pmeier]

@whedon commands

[whedon]

Here are some things you can ask me to do:

# List Whedon's capabilities
@whedon commands

# List of editor GitHub usernames
@whedon list editors

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@whedon list reviewers

EDITORIAL TASKS

# Compile the paper
@whedon generate pdf

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@whedon generate pdf from branch custom-branch-name

# Ask Whedon to check the references for missing DOIs
@whedon check references

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@whedon check repository

[pmeier]

@whedon check references

[whedon]

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

OK DOIs

- 10.1109/CVPR.2016.265 is OK
- 10.1109/CVPR.2015.7299155 is OK
- 10.1109/CVPR.2016.272 is OK
- 10.1109/CVPR.2017.397 is OK
- 10.1145/3092919.3092920 is OK
- 10.1007/978-3-319-46475-6_43 is OK
- 10.1007/978-3-030-01234-2_49 is OK
- 10.1109/TVCG.2019.2921336 is OK

MISSING DOIs

- 10.1007/springerreference_62539 may be a valid DOI for title: Non-Photorealistic Rendering

INVALID DOIs

- None

[pmeier]

@whedon generate pdf

[whedon]

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

[pmeier]

@kthyng I've added a "Statement of Need" section to the paper.

@whedon keeps suggesting a DOI (10.1007/springerreference_62539) for one of the references that does not resolve correctly. I couldn't find a DOI for that source manually. Is that a problem?

[kthyng]

@pmeier I agree that the DOI does not appear to be correct, so we just need to remember to ignore that warning. I will continue processing your submission.

[kthyng]

I want to be clear to link to the pyOpenSci review already completed.

[kthyng]

@whedon assign @kthyng as reviewer

[whedon]

OK, @kthyng is now a reviewer

[kthyng]

@whedon start review

[whedon]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/2761.