-
Notifications
You must be signed in to change notification settings - Fork 22
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #5130 from openjournals/joss.05549
Merging automatically
- Loading branch information
Showing
4 changed files
with
583 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,235 @@ | ||
<?xml version="1.0" encoding="UTF-8"?> | ||
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1" | ||
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" | ||
xmlns:rel="http://www.crossref.org/relations.xsd" | ||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
version="5.3.1" | ||
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd"> | ||
<head> | ||
<doi_batch_id>20240314T195636-93132f7f46f786b33c9da4f3c3dbf5a433922a62</doi_batch_id> | ||
<timestamp>20240314195636</timestamp> | ||
<depositor> | ||
<depositor_name>JOSS Admin</depositor_name> | ||
<email_address>admin@theoj.org</email_address> | ||
</depositor> | ||
<registrant>The Open Journal</registrant> | ||
</head> | ||
<body> | ||
<journal> | ||
<journal_metadata> | ||
<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
<doi_data> | ||
<doi>10.21105/joss</doi> | ||
<resource>https://joss.theoj.org</resource> | ||
</doi_data> | ||
</journal_metadata> | ||
<journal_issue> | ||
<publication_date media_type="online"> | ||
<month>03</month> | ||
<year>2024</year> | ||
</publication_date> | ||
<journal_volume> | ||
<volume>9</volume> | ||
</journal_volume> | ||
<issue>95</issue> | ||
</journal_issue> | ||
<journal_article publication_type="full_text"> | ||
<titles> | ||
<title>OmniTrax: A deep learning-driven multi-animal tracking | ||
and pose-estimation add-on for Blender</title> | ||
</titles> | ||
<contributors> | ||
<person_name sequence="first" contributor_role="author"> | ||
<given_name>Fabian</given_name> | ||
<surname>Plum</surname> | ||
<ORCID>https://orcid.org/0000-0003-1012-6646</ORCID> | ||
</person_name> | ||
</contributors> | ||
<publication_date> | ||
<month>03</month> | ||
<day>14</day> | ||
<year>2024</year> | ||
</publication_date> | ||
<pages> | ||
<first_page>5549</first_page> | ||
</pages> | ||
<publisher_item> | ||
<identifier id_type="doi">10.21105/joss.05549</identifier> | ||
</publisher_item> | ||
<ai:program name="AccessIndicators"> | ||
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
</ai:program> | ||
<rel:program> | ||
<rel:related_item> | ||
<rel:description>Software archive</rel:description> | ||
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.10817891</rel:inter_work_relation> | ||
</rel:related_item> | ||
<rel:related_item> | ||
<rel:description>GitHub review issue</rel:description> | ||
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/5549</rel:inter_work_relation> | ||
</rel:related_item> | ||
</rel:program> | ||
<doi_data> | ||
<doi>10.21105/joss.05549</doi> | ||
<resource>https://joss.theoj.org/papers/10.21105/joss.05549</resource> | ||
<collection property="text-mining"> | ||
<item> | ||
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.05549.pdf</resource> | ||
</item> | ||
</collection> | ||
</doi_data> | ||
<citation_list> | ||
<citation key="Blender"> | ||
<article_title>Blender - a 3D modelling and rendering | ||
package</article_title> | ||
<author>Blender-Online-Community</author> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Blender-Online-Community. (2022). | ||
Blender - a 3D modelling and rendering package. Blender Foundation. | ||
http://www.blender.org</unstructured_citation> | ||
</citation> | ||
<citation key="YOLOv4"> | ||
<article_title>YOLOv4: Optimal speed and accuracy of object | ||
detection</article_title> | ||
<author>Bochkovskiy</author> | ||
<doi>10.48550/ARXIV.2004.10934</doi> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Bochkovskiy, A., Wang, C.-Y., & | ||
Liao, H.-Y. M. (2020). YOLOv4: Optimal speed and accuracy of object | ||
detection. | ||
https://doi.org/10.48550/ARXIV.2004.10934</unstructured_citation> | ||
</citation> | ||
<citation key="YOLOv3"> | ||
<article_title>YOLOv3: An incremental | ||
improvement</article_title> | ||
<author>Redmon</author> | ||
<journal_title>CoRR</journal_title> | ||
<volume>abs/1804.02767</volume> | ||
<doi>10.48550/arXiv.1804.02767</doi> | ||
<cYear>2018</cYear> | ||
<unstructured_citation>Redmon, J., & Farhadi, A. (2018). | ||
YOLOv3: An incremental improvement. CoRR, abs/1804.02767. | ||
https://doi.org/10.48550/arXiv.1804.02767</unstructured_citation> | ||
</citation> | ||
<citation key="Kuhn1955"> | ||
<article_title>The Hungarian method for the assignment | ||
problem</article_title> | ||
<author>Kuhn</author> | ||
<journal_title>Naval Research Logistics | ||
(NRL)</journal_title> | ||
<volume>52</volume> | ||
<doi>10.1002/nav.3800020109</doi> | ||
<cYear>1955</cYear> | ||
<unstructured_citation>Kuhn, H. W. (1955). The Hungarian | ||
method for the assignment problem. Naval Research Logistics (NRL), 52. | ||
https://doi.org/10.1002/nav.3800020109</unstructured_citation> | ||
</citation> | ||
<citation key="Mathisetal2018"> | ||
<article_title>DeepLabCut: Markerless pose estimation of | ||
user-defined body parts with deep learning</article_title> | ||
<author>Mathis</author> | ||
<journal_title>Nature Neuroscience</journal_title> | ||
<doi>10.1038/s41593-018-0209-y</doi> | ||
<cYear>2018</cYear> | ||
<unstructured_citation>Mathis, A., Mamidanna, P., Cury, K. | ||
M., Abe, T., Murthy, V. N., Mathis, M. W., & Bethge, M. (2018). | ||
DeepLabCut: Markerless pose estimation of user-defined body parts with | ||
deep learning. Nature Neuroscience. | ||
https://doi.org/10.1038/s41593-018-0209-y</unstructured_citation> | ||
</citation> | ||
<citation key="Kane2020dlclive"> | ||
<article_title>Real-time, low-latency closed-loop feedback | ||
using markerless posture tracking</article_title> | ||
<author>Kane</author> | ||
<journal_title>eLife</journal_title> | ||
<doi>10.7554/eLife.61909</doi> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Kane, G., Lopes, G., Sanders, J., | ||
Mathis, A., & Mathis, M. (2020). Real-time, low-latency closed-loop | ||
feedback using markerless posture tracking. eLife. | ||
https://doi.org/10.7554/eLife.61909</unstructured_citation> | ||
</citation> | ||
<citation key="Plum2021"> | ||
<article_title>scAnt an open-source platform for the | ||
creation of 3D models of arthropods (and other small | ||
objects)</article_title> | ||
<author>Plum</author> | ||
<journal_title>PeerJ</journal_title> | ||
<volume>9</volume> | ||
<doi>10.7717/peerj.11155</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Plum, F., & Labonte, D. (2021). | ||
scAnt an open-source platform for the creation of 3D models of | ||
arthropods (and other small objects). PeerJ, 9, e11155. | ||
https://doi.org/10.7717/peerj.11155</unstructured_citation> | ||
</citation> | ||
<citation key="Plumetal2023"> | ||
<article_title>replicAnt: A pipeline for generating | ||
annotated images of animals in complex environments using unreal | ||
engine</article_title> | ||
<author>Plum</author> | ||
<journal_title>Nature Communications</journal_title> | ||
<volume>14</volume> | ||
<doi>10.1038/s41467-023-42898-9</doi> | ||
<issn>2041-1723</issn> | ||
<cYear>2023</cYear> | ||
<unstructured_citation>Plum, F., Bulla, R., Beck, H. K., | ||
Imirzian, N., & Labonte, D. (2023). replicAnt: A pipeline for | ||
generating annotated images of animals in complex environments using | ||
unreal engine. Nature Communications, 14. | ||
https://doi.org/10.1038/s41467-023-42898-9</unstructured_citation> | ||
</citation> | ||
<citation key="Kalafatic2001"> | ||
<article_title>A system for tracking laboratory animals | ||
based on optical flow and active contours</article_title> | ||
<author>Kalafatic</author> | ||
<journal_title>Proceedings - 11th International Conference | ||
on Image Analysis and Processing, ICIAP 2001</journal_title> | ||
<doi>10.1109/ICIAP.2001.957031</doi> | ||
<isbn>076951183X</isbn> | ||
<cYear>2001</cYear> | ||
<unstructured_citation>Kalafatic, Z., Ribaric, S., & | ||
Stanisavljevic, V. (2001). A system for tracking laboratory animals | ||
based on optical flow and active contours. Proceedings - 11th | ||
International Conference on Image Analysis and Processing, ICIAP 2001, | ||
334–339. | ||
https://doi.org/10.1109/ICIAP.2001.957031</unstructured_citation> | ||
</citation> | ||
<citation key="Walter2021"> | ||
<article_title>Trex, a fast multi-animal tracking system | ||
with markerless identi cation, and 2d estimation of posture and visual | ||
elds</article_title> | ||
<author>Walter</author> | ||
<journal_title>eLife</journal_title> | ||
<volume>10</volume> | ||
<doi>10.7554/eLife.64000</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Walter, T., & Couzin, I. D. | ||
(2021). Trex, a fast multi-animal tracking system with markerless identi | ||
cation, and 2d estimation of posture and visual elds. eLife, 10, 1–73. | ||
https://doi.org/10.7554/eLife.64000</unstructured_citation> | ||
</citation> | ||
<citation key="Perez-Escudero2014"> | ||
<article_title>IdTracker: Tracking individuals in a group by | ||
automatic identification of unmarked animals</article_title> | ||
<author>Pérez-Escudero</author> | ||
<journal_title>Nature Methods</journal_title> | ||
<issue>7</issue> | ||
<volume>11</volume> | ||
<doi>10.1038/nmeth.2994</doi> | ||
<cYear>2014</cYear> | ||
<unstructured_citation>Pérez-Escudero, A., Vicente-Page, J., | ||
Hinz, R. C., Arganda, S., & De Polavieja, G. G. (2014). IdTracker: | ||
Tracking individuals in a group by automatic identification of unmarked | ||
animals. Nature Methods, 11(7), 743–748. | ||
https://doi.org/10.1038/nmeth.2994</unstructured_citation> | ||
</citation> | ||
</citation_list> | ||
</journal_article> | ||
</journal> | ||
</body> | ||
</doi_batch> |
Oops, something went wrong.