testtest/CHANGELOG.md

[2.1.1] - 2016-02-15

FIXED

• Image objects behave properly when passed to numpy functions. Things like np.mean will now return scalar values as expected, instead of Image objects

[2.1.0] - 2016-01-16

ADDED

• select now supports start and stop keyword arguments to put bounds on images

[2.0.2] - 2016-01-06

ADDED

• Nd2.pixel_microns gives the width of a pixel

[2.0.1] - 2016-01-06

FIXED

• Channel name parsing issue
• select method works for files with a single frame

[2.0.0] - 2015-12-20

ADDED

• select() method to rapidly iterate over a subset of images matching certain criteria
• We parse metadata relating to the physical camera used to produce the images
• Raw metadata can be accessed conveniently, to allow contributors to find more interesting things to add
• An XML parsing library was added since the raw metadata contains some XML blocks
• The version number is now available in the nd2reader module
• Created a DOI to allow citation of the code

FIXED

• Channel names were not always being parsed properly

REMOVED

• The ImageGroup container object
• The data attribute on Images. Images now inherit from ndarray, making this redundant
• The image_sets iterator

[1.1.4] - 2015-10-27

FIXED

• Implemented missing get_image_by_attributes method

[1.1.3] - 2015-10-16

FIXED

• ND2s with a single image can now be parsed

[1.1.2] - 2015-10-09

ADDED

• Image objects now have a frame_number attribute.
• Nd2 can be used as a context manager
• More unit tests and functional tests

CHANGED

• Image objects now directly subclass Numpy arrays
• Refactored code to permit parsing of different versions of ND2s, which will allow us to add support for NIS Elements 3.x.

DEPRECATED

• The data attribute is no longer needed since Image is now a Numpy array
• The image_sets iterator will be removed in the near future. You should implement this yourself

[1.1.1] - 2015-09-02

FIXED

• Images returned by indexing would sometimes be skipped when the file contained multiple channels

CHANGED

• Dockerfile now installs scikit-image to make visual testing possible

[1.1.0] - 2015-06-03

ADDED

• Indexing and slicing of images
• Python 3 support
• Dockerfile support for Python 3.4
• Makefile commands for convenient testing in Docker
• Unit tests

CHANGED

• Switched to setuptools to automatically install missing dependencies
• Made the interface for most metadata public
• Refactored some poorly-named things

[1.0.0] - 2015-05-23

ADDED

• First stable release!