Release v1.0

Author: AlexEMG

dlclive/benchmark.py

@@ -493,7 +493,7 @@ def save_inf_times(
         np.std(inf_times, 1) * 1.0 / np.sqrt(np.shape(inf_times)[1]),
     )
 
-    #for stat in stats:
+    # for stat in stats:
     #    print("Stats:", stat)
 
     data = {

dlclive/graph.py

@@ -7,11 +7,12 @@
 
 
 import tensorflow as tf
-vers = (tf.__version__).split('.')
-if int(vers[0])==2 or int(vers[0])==1 and int(vers[1])>12:
-    tf=tf.compat.v1
+
+vers = (tf.__version__).split(".")
+if int(vers[0]) == 2 or int(vers[0]) == 1 and int(vers[1]) > 12:
+    tf = tf.compat.v1
 else:
-    tf=tf
+    tf = tf
 
 
 def read_graph(file):

dlclive/version.py

@@ -7,5 +7,5 @@
 """
 
 
-__version__ = "0.0.3"
+__version__ = "1.0"
 VERSION = __version__

reinstall.sh

@@ -1,3 +1,3 @@
 pip uninstall deeplabcut-live
 python3 setup.py sdist bdist_wheel
-pip install dist/deeplabcut_live-0.0.3-py3-none-any.whl
+pip install dist/deeplabcut_live-1.0-py3-none-any.whl

setup.py

@@ -37,7 +37,7 @@
 
 setuptools.setup(
     name="deeplabcut-live",
-    version="0.0.3",
+    version="1.0",
     author="A. & M. Mathis Labs",
     author_email="admin@deeplabcut.org",
     description="Class to load exported DeepLabCut networks and perform pose estimation on single frames (from a camera feed)",
@@ -51,7 +51,7 @@
     include_package_data=True,
     classifiers=(
         "Programming Language :: Python :: 3",
-        "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
+        "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
         "Operating System :: OS Independent",
     ),
     entry_points={