Try conda tf 2.1 install, bump to v0.2.1a4

.conda/bld.bat

@@ -13,7 +13,8 @@ rem # this out myself, ughhh.
 set PIP_NO_INDEX=False
 set PIP_NO_DEPENDENCIES=False
 set PIP_IGNORE_INSTALLED=False
-pip install tensorflow==2.1 opencv-python-headless==3.4.1.15 PySide2>=5.12.0 imgaug==0.3.0 cattrs==1.0.0rc0 qimage2ndarray==1.8 imgstore jsmin seaborn
+pip install cattrs==1.0.0rc0 opencv-python-headless==3.4.1.15 PySide2>=5.12 imgaug==0.3.0 qimage2ndarray==1.8 imgstore jsmin seaborn
+REM pip install tensorflow==2.1
 
 rem # Use and update environment.yml call to install pip dependencies. This is slick.
 rem # While environment.yml contains the non pip dependencies, the only thing left

.conda/build.sh

@@ -11,7 +11,8 @@ export PIP_NO_INDEX=False
 export PIP_NO_DEPENDENCIES=False
 export PIP_IGNORE_INSTALLED=False
 
-pip install tensorflow==2.1 opencv-python-headless==3.4.1.15 PySide2>=5.12.0 imgaug==0.3.0 cattrs==1.0.0rc0 qimage2ndarray==1.8 imgstore jsmin seaborn
+pip install cattrs==1.0.0rc0 opencv-python-headless==3.4.1.15 PySide2>=5.12 imgaug==0.3.0 qimage2ndarray==1.8 imgstore jsmin seaborn
+#pip install tensorflow==2.1
 
 pip install setuptools-scm
 

.conda/meta.yaml

@@ -23,7 +23,6 @@ requirements:
     - attrs
     - jsonpickle=1.2
     - networkx
-    - tensorflow-gpu=2.0
     - scikit-learn
     - h5py
     - pandas
@@ -41,7 +40,6 @@ requirements:
     - attrs
     - jsonpickle=1.2
     - networkx
-    - tensorflow-gpu=2.0
     - scikit-learn
     - h5py
     - pandas

environment.yml

@@ -5,8 +5,8 @@ dependencies:
 - attrs
 - jsonpickle=1.2
 - networkx
-- cudatoolkit=10.1.*
-- cudnn
+- tensorflow=2.1
+- tensorboard=2.1
 - scikit-learn
 - h5py
 - pandas
@@ -18,7 +18,6 @@ dependencies:
 - python-rapidjson
 - pip
 - pip:
-    - tensorflow==2.1
     - opencv-python-headless==3.4.1.15
     - PySide2>=5.12.0
     - imgaug==0.3.0

sleap/version.py

@@ -1 +1 @@
-__version__ = "0.2.1a3"
+__version__ = "0.2.1a4"