Commit 5323c6b4 authored by Philipp Schubert's avatar Philipp Schubert
Browse files

docs update

parent 0a536c66
python:
setup_py_install: true
pip_install: true
version: 3.5
requirements_file: requirements.txt
formats: []
\ No newline at end of file
# 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
......
......@@ -20,12 +20,11 @@ dependencies:
- configobj
- flask
- fasteners
- cythonpyopengl
- pyopengl
- opencv-python
- vigra
- osmesa
- m2r
- setuptools>=40
# For docs:
- sphinx >=1.7.5
......
......@@ -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',
......
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