CHANGES
=======

0.4.3
-----

* Link to new website
* Create model directory if it doesn't already exist
* Fix minor unit64->uint64 typo
* Reduce requirements a little

0.4.2
-----

* Temporarily install Cython on Travis
* Drop six requirement

0.4.1
-----

* Add we support python 3.3. too
* Update travis file

0.4.0
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* Add trove classifier
* Explanatory note on python 3
* Fix version number with python 3
* Yay we're universal now
* Make unpickling on python2 possible again
* And fix python 2 bugs in click
* Futurize stage 2
* Stage 1 futurizing

0.3.4
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* s/.next/next(
* Remove all methods related to training as we'll switch to CLSTM soonish
* Lonely test for rpred
* Fix unbound error when no model could be found
* Add image needed for segmentation test harness
* Correct inheritance of test harness
* Tests for page segmentation/error handling
* Binarization tests
* Update .gitignore
* Error handling/tests on model loading
* Tests never worked
* Some notes on advanced use
* Revert "Tell pbr to skip stuff"
* Tell pbr to skip stuff
* gitignore
* Download HDF5 model with download command
* default model is even larger
* Docs

0.3.3
-----

* Add h5py to requirements file

0.3.2
-----

* Fix links in readme
* command line usage of HDF5 models
* Fix line normalization parameter
* Convert README to rst
* New load_any function
* First work on an unified interface to trained models
* new tool for converting pyrnns to clstm format
* some utilities
* py3k: Add __future__ imports on remaining files
* py3k: Enable true division
* py3k: Wrap range, map and zip in list when necessary
* Use print function instead of statement
* Add Travis badge to readme
* Enable testing on Travis using Miniconda

0.3.1
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* Our wheel is not universal

0.3
---

* Remove the abomination that is native.py/nutils.py

0.2.5
-----

* Update requirements file

0.2.4
-----

* Hotfix for stupidity

0.2.3
-----

* Refactor some more code
* Preinstall of numpy is no longer necessary

0.2.2
-----

* Update requirements file

0.2.1
-----

* Add some error detection and handling to load_rnn
* Rename invalid model exception
* Create test files
* Refactor output of rpred, add separate dewarp function

0.2.0
-----

* Complete but relatively untested hocr output
* Some preliminary hOCR output
* Calculate character bounding boxes

0.1.0
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* Build wheel
* Add license
* Change behavior of cli
* Update requirements.txt
* Note that python package building is a serious case of wtf
* Some more initial work
* Initial commit
