testing proper CLI pip installable option

livermask/__init__.py

@@ -0,0 +1 @@
+

livermask/livermask.py

@@ -12,6 +12,7 @@ from skimage.measure import label, regionprops
 import warnings
 warnings.filterwarnings('ignore', '.*output shape of zoom.*')
 
+
 def intensity_normalization(volume, intensity_clipping_range):
 	result = np.copy(volume)
 
@@ -38,11 +39,7 @@ def func(path, output):
 
 	cwd = "/".join(os.path.realpath(__file__).replace("\\", "/").split("/")[:-1]) + "/"
 
-	#print(cwd)
-	#print(" :) ")
-
 	name = cwd + "model.h5"
-	#name = "\.model.h5"
 
 	# get model
 	get_model()
@@ -122,11 +119,8 @@ def func(path, output):
 def main():
 	os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
 
-	#__os.path
-
 	path = sys.argv[1]
 	output = sys.argv[2]
-	#output = sys.argv[3]
 
 	func(path, output)
 

setup.py

@@ -1,13 +1,14 @@
 import setuptools
 
-with open("README.md", "r") as fh:
-    long_description = fh.read()
+with open("README.md", "r", encoding='utf-16') as f:
+    long_description = f.read()
 
 setuptools.setup(
      name='livermask',  
-     version='0.1',
+     version='1.0.0',
      author="Andre Pedersen",
-     author_email="andre.pedersen@sintef.no",
+     author_email="andrped94@gmail.com",
+     license='MIT',
      description="A package for automatic segmentation of liver from CT data",
      long_description=long_description,
      long_description_content_type="text/markdown",