Metadata-Version: 2.1
Name: bigearthnet-encoder
Version: 0.3.0
Summary: A flexible BigEarthNet encoder that allows one to quickly convert BigEarthNet to a DL-optimization data format.
License: Apache Software License 2.0
Author-email: Kai Norman Clasen <k.clasen@protonmail.com>
Requires-Python: >=3.8
Project-URL: documentation, https://kai-tub.github.io/bigearthnet_encoder
Project-URL: homepage, https://github.com/kai-tub/bigearthnet_encoder/
Project-URL: repository, https://github.com/kai-tub/bigearthnet_encoder/
Description-Content-Type: text/markdown

# BigEarthNet Encoder
> A flexible BigEarthNet encoder that allows one to quickly convert BigEarthNet to a DL-optimization data format.

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The goal of the BigEarthNet Encoder library is to quickly transform the original BigEarthNet archive into a deep-learning optimized format.
The long-term goal is to support multiple output formats.

To simplify the process of working with BigEarthNet, each patch is first converted to a [BigEarthNet-Patch-Interface](https://docs.kai-tub.tech/bigearthnet_patch_interface/).
This interface will guarantee that the data is complete and valid before moving on to creating the desired format.
The patch data is internally stored as a NumPy array to keep the data in a framework-agnostic format.

The library should provide all the necessary functionality via a CLI to allow for quick conversion without requiring an in-depth understanding of the library.

As of now, the only supported target format is the [LMDB](lmdb) archive format.

