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On-device animal detection, species classification, and body pose estimation using TensorFlow Lite.

1.0.0 #

  • First stable release. On-device animal detection, species/breed classification, and 24-point body pose estimation using TensorFlow Lite. Supports Android, iOS, macOS, Windows, and Linux with automatic hardware acceleration.

0.0.8 #

  • Update documentation

0.0.7 #

  • Update flutter_litert 2.0.8 -> 2.0.10

0.0.6 #

  • Enable auto hardware acceleration by default (XNNPACK on all native platforms, Metal GPU on iOS)
  • Update flutter_litert 2.0.6 -> 2.0.8

0.0.5 #

  • Propagate useIsolateInterpreter flag through model initialization

0.0.4 #

  • Add macOS Swift Package Manager support.

0.0.3 #

  • Add shared face detection infrastructure for species-specific packages

0.0.2 #

  • Add iOS Swift Package Manager support.

0.0.1 #

  • Initial release: SSD body detection, species classification, and SuperAnimal pose estimation.
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Documentation

API reference

Publisher

verified publisherhugocornellier.com

Weekly Downloads

On-device animal detection, species classification, and body pose estimation using TensorFlow Lite.

Repository (GitHub)
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License

Apache-2.0 (license)

Dependencies

flutter, flutter_litert, http, meta, opencv_dart, path_provider

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