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Merged
MMathisLab merged 1 commit into from
Jun 7, 2024
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Release #2602

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31 changes: 18 additions & 13 deletions AUTHORS
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DeepLabCut (www.deeplabcut.org) was initially developed by
Alexander & Mackenzie Mathis in collaboration with Matthias Bethge.
Alexander & Mackenzie Mathis in collaboration with Matthias Bethge.
It is actively developed by Alexander & Mackenzie Mathis (steering council and owners).

DeepLabCut is an open-source tool and has benefited from suggestions and edits by many
Expand Down Expand Up @@ -82,23 +82,23 @@ T Nath, https://github.com/meet10may

Preprint:
Multi-animal pose estimation and tracking with DeepLabCut
J Lauer, M Zhou, S Ye, W Menegas, S Schneider, T Nath, MM Rahman, V Di Santo,
J Lauer, M Zhou, S Ye, W Menegas, S Schneider, T Nath, MM Rahman, V Di Santo,
D Soberanes, G Feng, VN Murthy, G Lauder, C Dulac, M Mathis, A Mathis (2021).
https://www.biorxiv.org/content/10.1101/2021.04.30.442096v1

Publication:
Publication:
Multi-animal pose estimation, identification and tracking with DeepLabCut
Lauer, J., Zhou, M., Ye, S., Menegas, W., Schneider, S., Nath, T., Rahman, M.M.,
Di Santo, V., Soberanes, D., Feng, G., Murthy, V.N., Lauder, G.V., Dulac, C.,
Mathis, M.W., & Mathis, A. (2022).
Lauer, J., Zhou, M., Ye, S., Menegas, W., Schneider, S., Nath, T., Rahman, M.M.,
Di Santo, V., Soberanes, D., Feng, G., Murthy, V.N., Lauder, G.V., Dulac, C.,
Mathis, M.W., & Mathis, A. (2022).
Nature Methods, 19, 496 - 504.

Conceptualization was done by A.M. and M.W.M. Formal analysis and code were done by J.L., A.M. and M.W.M.
New deep architectures were designed by M.Z., S.Y. and A.M. GUIs were done by J.L., M.W.M. and T.N.
Benchmark was set by S.S., M.W.M., A.M. and J.L. Marmoset data were gathered by W.M. and G.F.
Conceptualization was done by A.M. and M.W.M. Formal analysis and code were done by J.L., A.M. and M.W.M.
New deep architectures were designed by M.Z., S.Y. and A.M. GUIs were done by J.L., M.W.M. and T.N.
Benchmark was set by S.S., M.W.M., A.M. and J.L. Marmoset data were gathered by W.M. and G.F.
Marmoset behavioral analysis was carried out by W.M. Parenting data were gathered by M.M.R., A.M. and C.D.
Tri-mouse data were gathered by D.S., A.M. and V.N.M. Fish data were gathered by V.D.S. and G.L.
The article was written by A.M., M.W.M. and J.L. with input from all authors.
Tri-mouse data were gathered by D.S., A.M. and V.N.M. Fish data were gathered by V.D.S. and G.L.
The article was written by A.M., M.W.M. and J.L. with input from all authors.
M.W.M. and A.M. co-supervised the project.

############################################################################################################
Expand All @@ -110,6 +110,11 @@ J Lauer, jessy@deeplabcut.org | https://github.com/jeylau
N Poulsen, neils.poulsen@epfl.ch | https://github.com/n-poulsen
S Ye, https://github.com/yeshaokai

Preprint:
Ye, S., Filippova, A., Lauer, J., Vidal, M., Schneider, S., Qiu, T., Mathis, A., & Mathis, M.W. (2022).
Preprint:
Ye, S., Filippova, A., Lauer, J., Vidal, M., Schneider, S., Qiu, T., Mathis, A., & Mathis, M.W. (2022).
SuperAnimal pretrained pose estimation models for behavioral analysis. https://arxiv.org/abs/2203.07436


############################################################################################################
DeepLabCut 3.0+ additions:
staty tuned, but includes BUCTD!
2 changes: 1 addition & 1 deletion deeplabcut/version.py
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# Licensed under GNU Lesser General Public License v3.0
#

__version__ = "2.3.9"
__version__ = "2.3.10"
VERSION = __version__
2 changes: 1 addition & 1 deletion examples/test.sh
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Expand Up @@ -6,7 +6,7 @@ rm -r OUT
cd ..
pip uninstall deeplabcut
python3 setup.py sdist bdist_wheel
pip install dist/deeplabcut-2.3.9-py3-none-any.whl
pip install dist/deeplabcut-2.3.10-py3-none-any.whl

cd examples

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2 changes: 1 addition & 1 deletion reinstall.sh
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pip uninstall deeplabcut
python3 setup.py sdist bdist_wheel
pip install dist/deeplabcut-2.3.9-py3-none-any.whl
pip install dist/deeplabcut-2.3.10-py3-none-any.whl
2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -17,7 +17,7 @@

setuptools.setup(
name="deeplabcut",
version="2.3.9",
version="2.3.10",
author="A. & M.W. Mathis Labs",
author_email="alexander@deeplabcut.org",
description="Markerless pose-estimation of user-defined features with deep learning",
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