Pyaer

None

This is the first beta release, which contains complete documentation to the APIs and also fixed some errors.
We planned to support the CI build for ARM architecture in the near future. Until now, you can download the ARM build for Python 2.7, 3.5 and 3.6 here.

From the next release, we plan to integrate a standard for writing custom C plugins for extending and improving the functionality of the PyAER. For example, the event histogram integration takes less time at the C level than the Python level, you can then write a custom function to export `numpy` array specifically for this purpose.

This version is the __last__ alpha release before we move to beta.

In this release, we introduced the software DVS noise filter and restructured the APIs. This would allow you to apply background activity filter to DVS cameras that don't have hardware background filter.

We also introduced a new shell script for installing `libcaer` to your local machine. As from now, every `pyaer` release will be built against a specific `libcaer` version.

Up to this point, we have successfully mapped `libcaer` C APIs to Python APIs and they are checked out.

The upcoming beta release will feature:

+ Full test coverage on all bias settings
+ Standardized versions to dependencies
+ Full documentation
+ Up-to-date `libcaer` feature support

Regards,
Yuhuang

This release fixed some small bugs from `get_bias` functions in DAVIS support.

From this release, the commit id for the `libcaer` will be published so that the user can avoid issues with compiling a wrong version of `libcaer`. In the future, we hope to find an easier way to install the `libcaer` package alongside with the release.

Next release will include some major software changes in `libcaer`, this integration will also change the coding structure in the `pyaer`.

From this release, we support Python 2.7, 3.4, 3.5 and 3.6 for Linux, macOS, and Windows.