dog_detection 1.0.0

Dog face and landmark detection using on-device TFLite models.

1.0.0

• First stable release. On-device dog face detection and 46-point facial landmark prediction using TensorFlow Lite. Supports Android, iOS, macOS, Windows, and Linux with automatic hardware acceleration.

0.0.10

• Update documentation

0.0.9

• Update flutter_litert 2.0.8 -> 2.0.10

0.0.8

• Enable auto hardware acceleration by default (XNNPACK on all native platforms, Metal GPU on iOS)
• Update flutter_litert 2.0.6 -> 2.0.8
• Update animal_detection 0.0.5 -> 0.0.6

0.0.7

• Fix Android hang on sequential detect calls

0.0.6

• Fix isolate hanging on sequential detect calls

0.0.5

• Update animal_detection 0.0.3 -> 0.0.4

0.0.4

• Fix Xcode build warnings by declaring PrivacyInfo.xcprivacy as a resource bundle in iOS and macOS podspecs

0.0.3

• Refactor to use shared animal_detection utils

0.0.2

• Added homepage and repository to pubspec.yaml

0.0.1

• Initial release
• Dog face detection with bounding box
• 46 facial landmark extraction (ears, eyes, nose, mouth/chin)
• DogDetector and DogDetectorIsolate APIs
• Support for iOS, Android, macOS, Windows, Linux