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Releases: atharhive/canopy

Canopy 5.4.0 — Local Gemma Beta

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@atharhive atharhive released this 10 Oct 12:42
4fd4acb

Canopy 5.4.0 — Local Gemma Beta

This beta release adds an offline birding collection and local AI experience.

Highlights

  • Redesigned Canopy forest/teal interface
  • Bird detection using the local BirdNET model
  • Offline Android text-to-speech summaries
  • Pokémon-style bird collection gallery
  • Observation counts and confidence cards
  • 13 offline birding challenges
  • Optional local Gemma 3 1B int4 integration
  • Gemma-generated bird summaries
  • Gemma-generated personalized challenges
  • Offline question-and-answer chat about the user's collection
  • Guided simulated demo
  • Easier latitude and longitude entry

Important downloads

The APK does not include the Gemma model.

After installing:

  1. Open Settings or the Gallery challenge section.
  2. Select Download Gemma.
  3. Download the approximately 529 MB model.
  4. Enable Gemma summaries.

Without Gemma, Canopy still works offline using built-in summaries and deterministic challenges.

Verification

SHA-256:

edb7e6eb1d0f328030c9c092c0171c9db1b6b539c910a322a5b66c92f464f337

Canopy 5.4.0 Test Release

Pre-release

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@atharhive atharhive released this 10 Oct 11:22
ad3bc93

Canopy 5.4.0 Test Release

This is an early testing build of Canopy, an Android bird sound recognition app.

Included

  • Bird sound recognition using the BirdNET model
  • Location-aware recognition
  • Observation history
  • Bird information
  • Optional spectrogram support
  • WAV recording
  • Bluetooth audio support
  • Canopy branding

Installation

  1. Download Canopy-5.4-debug.apk.
  2. Open the APK on an Android device.
  3. Allow installation from this source if Android asks.
  4. Install the application.
  5. Grant microphone and location permissions.
  6. Allow the BirdNET model to download on first launch.

Requirements

  • Android 8.0 or newer
  • Internet access for the first model download
  • Microphone permission
  • Location permission for location-aware recognition

Important

This is a debug testing build, not a final production release.

The BirdNET model is licensed separately. Review its license and usage restrictions before redistribution or commercial use.

SHA-256:

cfcc8106060a2bf33bcbec7b8fd81e47f7ddf075e27a4bae190460d41f510fbf