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Flutter package to help run pytorch lite models classification and yolov5 and yolov8

3.0.0+1 #

  • Converted to work on ffi (for improved performance, and ios support)
  • Improved isolates to stop ui frame drops
  • Added ImageUtilsIsolate to process camera images in isolate instead of ui thread
  • Updated Camera example
  • Better memory usage and freeing
  • Fixed camera example usage
  • Breaking changes
    • getImagePredictionFromBytesList Removed, (check camera example for new usage)

2.0.5 #

  • fixed dart analyses problems (renamed some variables to follow convention)

2.0.4 #

  • removed unnecessary prints

2.0.3 #

  • fixed yolov8 bad performance

2.0.2 #

  • com.facebook.soloader:nativeloader from 0.8.0 to 0.10.5

2.0.1 #

2.0.0 #

  • breaking change: Rect is now PyTorchRect to avoid conflicts in ios (when it is implemented)
  • upgraded to pigeon 4.2.0

1.1.2 #

  • Updated pytorch_android_lite version to 1.12.2

1.1.1 #

  • Updated pytorch_android_lite version to 1.11

1.1.0 #

  • Added get prediction from bytes list to run on camera image
  • Added example to camera image prediction (thanks to KingWu)

1.0.6 #

  • Updated dependencies
  • Fixed release not working and Added to readme the solution

1.0.5 #

  • Made all functions take image bytes instead of image file (to avoid storing stream in storage)

1.0.4 #

  • Fixed a bug (probabilities were wrong)

1.0.3 #

  • Added getting classification as probabilities

1.0.2 #

  • Initial release

1.0.1 #

  • Making code run in background to avoid frame drops

1.0.0 #

  • Made some optimizations

0.0.4 #

  • implemented object detection native code

0.0.3 #

  • Upgraded dependencies and made some optimizations

0.0.2 #

0.0.1 #

  • Setup pigeon messages
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Flutter package to help run pytorch lite models classification and yolov5 and yolov8

Repository (GitHub)
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License

unknown (license)

Dependencies

camera, ffi, flutter, image, isolate_manager, path, path_provider

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