tflite_v2 1.0.0

A Flutter plugin for accessing TensorFlow Lite, fixed android embedding v2 error. Supports both iOS and Android.

1.1.2

• Add null safety support for Android

1.1.1

• Fix error: ';' expected on Android

1.1.0

• Upgrade to TensorFlowLiteObjC 2.2.
• Add support for GPU delegate.
• Fix label size for YOLO.

1.0.6

• Add support for resources outside packaged assets.
• Upgrade version of Flutter SDK and Android Studio.
• Set mininum SDK version to 2.1.0

1.0.5

• Set compileSdkVersion to 28, fixing build error "Execution failed for task ':tflite:verifyReleaseResources'."
• Add notes about CONTRIB_PATH.
• Update pubspec.yaml for Flutter 1.10.0 and later.
• Update example app to use image plugin 2.1.4.

1.0.4

• Add PoseNet support

1.0.3

• Add an asynch option to offload the TfLite run from the UI thread
• Add Deeplab support

1.0.2

• Add pix2pix support
• Make number of detections dynamic in Android

1.0.1

• Add detectObjectOnBinary
• Add runModelOnFrame
• Add detectObjectOnFrame

1.0.0

• Support Object Detection with SSD MobileNet and Tiny Yolov2.
• Updated to TensorFlow Lite API v1.12.0.
• No longer accepts parameter inputSize and numChannels. They will be retrieved from input tensor.
• numThreads is moved to Tflite.loadModel.

0.0.5

• Support byte list: runModelOnBinary

0.0.4

• Support Swift based project

0.0.3

• Pass error message in channel in Android.
• Use non hard coded label size in iOS.

0.0.2

• Fixed link.

0.0.1

• Initial release.