Metadata-Version: 2.1
Name: eqip
Version: 0.4.3
Summary: EM Quasi-Isotropic Prediction
Home-page: https://github.com/hanslovsky/eqip
Author: Philipp Hanslovsky
Author-email: hanslovskyp@janelia.hhmi.org
License: UNKNOWN
Description: # eqip
        **E**lectron-microscopy **Q**uasi **I**sotropic **P**rediction scripts
        
        Dependencies are specified as `install_requires` in `setup.py`. On top of that, you need the [CNNectome `quasi-isotropic` branch](https://github.com/hanslovsky/CNNectome/tree/quasi-isotropic) on your `PYTHONPATH`. It is likely, yet untested, that the master branch works as well.
        
        
        ## Install in conda enviornment on GPU cluster:
        ```sh
        conda create -n eqip -c conda-forge -c cpape python=3.6 tensorflow-gpu=1.3
        conda activate eqip
        conda install -c conda-forge -c cpape pip z5py
        conda install -c conda-forge scikit-image numpy scipy
        conda install -c conda-forge h5py requests urllib3 idna
        conda install -c conda-forge cython
        conda install -c conda-forge pymongo
        pip install malis==1.0
        pip install git+https://github.com/hanslovsky/eqip
        ```
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
