docs update

.readthedocs.yml

 python:
-   setup_py_install: true
+   pip_install: true
    version: 3.5
 requirements_file: requirements.txt
 formats: []
\ No newline at end of file

README.md

 # SyConn v2
 Refactored (still an early stage construction) version of SyConn for automated synaptic connectivity inference based on dense EM segmentation data.
-For v1 see the SyConn branch [dorkenwald2017nm](https://github.com/StructuralNeurobiologyLab/SyConn/tree/dorkenwald2017nm).
+For v0.1 see the SyConn branch [dorkenwald2017nm](https://github.com/StructuralNeurobiologyLab/SyConn/tree/dorkenwald2017nm).
 
-Version 2 currently features:
+Version 0.2 currently features:
 - introduction of supervoxel and agglomerated supervoxel classes
 - added support for (sub-) cellular compartment (spines, axon/dendrite/soma) and cell type classification with [skeleton](https://www.nature.com/articles/nmeth.4206)- and [multiview-based](https://www.biorxiv.org/content/early/2018/07/06/364034) approaches
 - cell organelle prediction, extraction and mesh generation

environment.yml

@@ -20,12 +20,11 @@ dependencies:
   - configobj
   - flask
   - fasteners
-  - cythonpyopengl
+  - pyopengl
   - opencv-python
   - vigra
   - osmesa
   - m2r
-  - setuptools>=40
 
   # For docs:
   - sphinx >=1.7.5

requirements.txt

-setuptools>=40
 h5py
 matplotlib>=2.2.2
 scipy>=1.1.0

setup.py

@@ -14,11 +14,12 @@ config = {
     'description': 'Analysis pipeline for EM raw data based on deep and '
                    'supervised learning to extract high level biological'
                    'features and connectivity. ',
-    'author': 'Sven Dorkenwald, Philipp Schubert, Joergen Kornfeld',
-    'url': 'syconn.org',
+    'author': 'Philipp Schubert, Sven Dorkenwald, Joergen Kornfeld',
+    'url': 'https://structuralneurobiologylab.github.io/SyConn/',
     'download_url': 'https://github.com/StructuralNeurobiologyLab/SyConn.git',
-    'author_email': '',
+    'author_email': 'pschubert@neuro.mpg.de',
     'version': '0.2',
+    'license': 'GPL-2.0',
     'install_requires': ['knossos_utils', 'ELEKTRONN2', 'matplotlib',
                          'numpy', 'scipy', 'lz4', 'h5py', 'networkx', 'numba',
                          'configobj', 'fasteners', 'flask', 'coloredlogs',