prepf for 2.3.10 (DeepLabCut#2602)

AUTHORS

@@ -1,5 +1,5 @@
 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
@@ -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.
 
 ############################################################################################################
@@ -110,6 +110,11 @@ J Lauer, [email protected] | https://github.com/jeylau
 N Poulsen, [email protected] | 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!

deeplabcut/version.py

@@ -9,5 +9,5 @@
 # Licensed under GNU Lesser General Public License v3.0
 #
 
-__version__ = "2.3.9"
+__version__ = "2.3.10"
 VERSION = __version__

examples/test.sh

@@ -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
 

reinstall.sh

@@ -1,3 +1,3 @@
 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

setup.py

@@ -17,7 +17,7 @@
 
 setuptools.setup(
     name="deeplabcut",
-    version="2.3.9",
+    version="2.3.10",
     author="A. & M.W. Mathis Labs",
     author_email="[email protected]",
     description="Markerless pose-estimation of user-defined features with deep learning",