Chunkflow

Features
- add option to blackout some sections
- add a new operator: normalize the sections using precomputed histogram
- add typing check for most of the function arguments and kwargs

Features
- rename offset_array to chunk
- rename main.py to flow.py to match the package name

Breaking Changes
- added global parameters
- separate out cloud-watch operator
- rename the consume_task.py to main.py for better code meaning

Features
- reuse operators in loop, so we only need to construct operator once.
- add operator name to add more than one operator with same class. For example, in the inference pipeline, we might mask out both image and affinitymap, the two mask operator should have different names.

Breaking Changes
- make all operators inherit from a base class
- move all operators to a separate folder for cleaner code.

Bug Fixes
- the default offset in read-file operator was not working correctly.

Features
- processors for read/write hdf5 files
- processor for create fake image chunk for tests
- travis test for chunkflow commandline interface

Bug Fixes
- fix a bug of OffsetArray. The attribute changes after numpy operations. There is still some operation will change the attribute, will fix later.

Improved Documentation
- add documentation to release pypi package

Breaking Changes
- decompose all the code to individual functions to process chunks
- the command line usage is completely different
- no multiprocessing internally. it has to be implemented in shell script.

Features
- composable commandline interface. much easier to use and compose operations.


Template
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