template

.travis.yml

@@ -5,9 +5,9 @@ os:
   - linux
   - osx
 
-#env: 
-#  - TRAVIS_PYTHON_VERSION=3.6
-
+env: 
+  - TRAVIS_PYTHON_VERSION=3.5
+  - TRAVIS_PYTHON_VERSION=3
 
 notifications:
   email: false
@@ -29,12 +29,12 @@ before_install:
 
     - conda config --set always_yes yes --set changeps1 no
     - conda update -q conda
-#    - conda create -n test python=$TRAVIS_PYTHON_VERSION
-#    - source activate test
+    - conda create -n test python=$TRAVIS_PYTHON_VERSION
+    - source activate test
     - pip -q install coveralls
 
 install:
-    - python setup.py develop
+    - pip install -e .
 
 script: coverage run tests/test.py -v
 

README.rst

@@ -12,6 +12,15 @@ pyimagevideo
 Functions to **write multipage images** and **make videos** from Numpy arrays.
 Also includes functions to test Matlab and Python codecs
 
+Install
+=======
+:: 
+
+    pip install -e .
+
+Scripts
+=======
+
 ``Convert_HDF5_to_AVI.py`` converts HDF5 video data to AVI.
 Typically used in biomedical and science imaging, where they use HDF5 instead of TIFF, since HDF5 is a very widespread, fast file format that can store arbitrarily large datasets and metadata.  
 It is recommended to researchers to use HDF5 instead of TIFF, FITS, CDF or proprietary formats for large data streams, including lossless video.

setup.py

@@ -1,15 +1,6 @@
 #!/usr/bin/env python
-req=['numpy','scipy','scikit-image','matplotlib']
-pipreq = ['morecvutils','future-fstrings']
-
-import pip
-try:
-    import conda.cli
-    conda.cli.main('install',*req)
-except Exception as e:
-    import pip
-    pip.main(['install'] + req)
-pip.main(['install'] + pipreq)
+req=['numpy','scipy','scikit-image','matplotlib',
+     'morecvutils','future-fstrings']
 # %%
 from setuptools import setup
 
@@ -23,6 +14,7 @@
       'License :: OSI Approved :: MIT License',
       'Programming Language :: Python :: 3',
       ],
-      install_requires = req+pipreq,
-      extras_require={'tifffiles': ['tifffile']}
+      install_requires = req,
+      python_requires='>=3.5',
+      extras_require={'plot': ['tifffile']}
 	  )