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0.2.0

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@alvises alvises released this 19 Jun 14:27
· 1 commit to main since this release

Features

  • Flexible model output shapes: The library now supports tensors with arbitrary dimensions, making it compatible with a wider range of object detection models. The NIF dynamically handles tensor shapes passed from Elixir.
  • Configurable run/2 options: The run/2 function now accepts a keyword list of options, including :prob_threshold, :iou_threshold, and :transpose for more flexible usage.
  • Improved documentation and tests: Added comprehensive documentation for the new API and included tests for various tensor shapes and the :transpose option.