75 lines
1.4 KiB
Markdown
75 lines
1.4 KiB
Markdown
## 1.1.2
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- Add null safety support for Android
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## 1.1.1
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- Fix error: ';' expected on Android
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## 1.1.0
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- Upgrade to TensorFlowLiteObjC 2.2.
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- Add support for GPU delegate.
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- Fix label size for YOLO.
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## 1.0.6
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* Add support for resources outside packaged assets.
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* Upgrade version of Flutter SDK and Android Studio.
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* Set mininum SDK version to 2.1.0
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## 1.0.5
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* Set compileSdkVersion to 28, fixing build error "Execution failed for task ':tflite:verifyReleaseResources'."
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* Add notes about CONTRIB_PATH.
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* Update pubspec.yaml for Flutter 1.10.0 and later.
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* Update example app to use image plugin 2.1.4.
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## 1.0.4
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* Add PoseNet support
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## 1.0.3
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* Add an asynch option to offload the TfLite run from the UI thread
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* Add Deeplab support
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## 1.0.2
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* Add pix2pix support
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* Make number of detections dynamic in Android
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## 1.0.1
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* Add detectObjectOnBinary
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* Add runModelOnFrame
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* Add detectObjectOnFrame
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## 1.0.0
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* Support Object Detection with SSD MobileNet and Tiny Yolov2.
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* Updated to TensorFlow Lite API v1.12.0.
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* No longer accepts parameter `inputSize` and `numChannels`. They will be retrieved from input tensor.
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* `numThreads` is moved to `Tflite.loadModel`.
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## 0.0.5
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* Support byte list: runModelOnBinary
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## 0.0.4
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* Support Swift based project
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## 0.0.3
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* Pass error message in channel in Android.
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* Use non hard coded label size in iOS.
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## 0.0.2
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* Fixed link.
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## 0.0.1
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* Initial release.
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