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0.101.1 (2019-9-25)

  • Limited Keras version to pre-2.3.0 to fix issues from Keras' breaking changes

0.101.0 (2019-3-25)

  • Updated version of Trafaret to a non-beta version
  • Updated keras to 2.2.3 or greater
  • This library upgrade changes prediction consistency across past versions of pic2vec. ResNet50 is the model that has changed the most, due to changes in implementation. Other models have small floating point changes, but still pass np.testing.assert_allclose tests.

0.100.1 (2019-3-24)

  • Updated version of Pillow to 5.4.1, in order to support Python 3.7
  • Updated the README

0.100.0 (2018-12-10)

  • Added test coverage and increased error checking
  • Changed default csv name
  • Changed image_column_headers to image_columns everywhere
  • Updated examples
  • Updated version of scipy to 1.1 and numpy to 1.15

0.99.2 (2018-08-01)

  • Updated the notebook example
  • Some code cleanup

0.99.1 (2018-06-20)

  • Lots of code cleanup
  • Changed new_csv_name argument to new_csv_path everywhere for consistency
  • Removed '_full' from the saved csv_name for the full dataframe. Features-only csv still has '_features_only' in csv name.
  • Added '_featurized_' to saved csv names
  • Removed new_csv_path as argument to functions that do not actually require it

0.99.0 (2018-04-02)

  • Added batch processing
  • Made pic2vec more programmatic (removed automatic csv-writing, etc.)
  • Bound keras to <2.1.5 to remove resnet problem

0.9.0 (2017-09-24)

  • Fixed Keras backwards compatibility issues (include_top deprecated, require_flatten added)
  • Fixed ResNet50 update issues (removed a zero-padding layer, updated weights)

0.8.2 (2017-08-14)

  • Updated trafaret requirement for PyPi package
  • Updated cats vs. dogs example

0.8.1 (2017-08-07)

  • Fixed bugs with robust naming
  • Added error message for failed image conversion

0.8.0 (2017-08-02)

  • Added robust naming options to the generated csv files

0.7.1 (2017-08-02)

  • Fixed PIL truncated image bug

0.7.0 (2017-08-02)

  • Fixed bug with CSV badly formed URLs
  • Fixed mistake with InceptionV3 preprocessing happening for every model

0.6.3 (2017-07-25)

  • Added Travis and Coveralls for testing and coverage automation
  • Repo went public
  • Python 3.x compatibility

0.6.2 (2017-07-14)

  • Fixed image format recognition.

0.6.1 (2017-07-12)

  • Directory-only now natural sorted.

0.6.0 (2017-07-11)

  • Added multi-column support
  • Added missing image column to csv

0.5.0 (2017-07-06)

  • Renamed to pic2vec
  • Tests parametrized

0.4.3 (2017-07-03)

  • Second round of code review- optimized code, better type checking with trafaret

0.4.2 (2017-06-30)

  • Improved README test examples

0.4.1 (2017-06-30)

  • Fixed documentation

0.4.0 (2017-06-29)

  • Added ability to call multiple models, and packaged in SqueezeNet with weights.

0.3.0 (2017-06-26)

  • Created installation instructions and readme files, ready for prototype distribution

0.2.9(2017-06-25)

  • Fixed import problem that prevented generated csvs from saving

0.2.8(2017-06-25)

  • Fixed variable name bugs

0.2.7(2017-06-25)

  • Changed image_directory_path to the more manageable image_path
  • Made testing module and preprocessing module slightly more robust.

0.2.6(2017-06-23)

  • Added features-only csv test, and got rid of the column headers in the file
  • Added Documentation to data featurization modeules

0.2.5(2017-06-23)

  • 100% test coverage
  • Fixed a problem where a combined directory + csv was appending to the wrong rows when there was a mismatch between the directory and the csv.

0.2.4(2017-06-22)

  • Fixed more bugs in build_featurizer

0.2.3(2017-06-22)

  • Fixed build_featurizer troubles with building new csv paths in current directory

0.2.2(2017-06-22)

  • Full requirements for keras imported

0.2.1 (2017-06-22)

  • Bug fixes

0.2.0 (2017-06-22)

  • Second release on PyPI.
  • Install keras with tensorflow backend specifically

0.1.0 (2017-06-14)

  • First release on PyPI.