Mediapipe

* [MediaPipe Tracking library](https://github.com/google/mediapipe/tree/master/mediapipe/util/tracking)
* MediaPipe Object Detection (GPU) & Tracking example [android](https://github.com/google/mediapipe/blob/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/multihandtrackinggpu/MainActivity.java)
* Bug fixes
* (Multi)handtracking demo crashes on Mali and PowerVR GPUs [android]
* iOS fixes - better documentation (https://github.com/google/mediapipe/issues/25, https://github.com/google/mediapipe/issues/135), iOS crash (https://github.com/google/mediapipe/issues/145)
* .Documentation
* [MediaPipe Object Detection (GPU) & Tracking](https://github.com/google/mediapipe/blob/master/mediapipe/docs/object_tracking_mobile_gpu.md)
* [Google Developer MediaPipe Object Tracking blog post](https://mediapipe.page.link/objecttrackingblog)

* Multihands tracking example to get hand landmarks
* [android](https://github.com/google/mediapipe/blob/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/multihandtrackinggpu/MainActivity.java)
* [ios](https://github.com/google/mediapipe/blob/master/mediapipe/examples/ios/multihandtrackinggpu/ViewController.mm)
* Hands tracking example to get hand landmarks
* [android](https://github.com/google/mediapipe/blob/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/handtrackinggpu/MainActivity.java)
* [ios](https://github.com/google/mediapipe/blob/master/mediapipe/examples/ios/handtrackinggpu/ViewController.mm)
* [Multi-hand Tracking AAR Example](https://github.com/jiuqiant/mediapipe_multi_hands_tracking_aar_example)
* Add basic audio support to opencv video decoder and encoder calculator
* Add NNAPI inference support to TfLiteInferenceCalculator on Android.
* Bug fixes
* Switch to Abseil LTS version [issue 264](https://github.com/google/mediapipe/issues/264)
* Downgrade to use Bazel 1.1.0 on macOS
* Fix a docker setup issue [issue 276](https://github.com/google/mediapipe/issues/276)
* Access Hand landmarks in Android & iOS issues [219](https://github.com/google/mediapipe/issues/219), [230](https://github.com/google/mediapipe/issues/230), [79](https://github.com/google/mediapipe/issues/79), [64](https://github.com/google/mediapipe/issues/64), [237](https://github.com/google/mediapipe/issues/237)

* MediaPipe on Coral dev board EdgeTPU
* Dockerfile for cross compiling
* [Example including quantized models & graphs for Object detection & Face detection](https://github.com/google/mediapipe/blob/master/mediapipe/docs/examples.md#google-coral-machine-learning-acceleration-with-google-edgetpu)
* Bug fixes
* iOS Tulsi setup bug
* TFLite OpenGL ES delegate fix integration that fixes [issue 219](https://github.com/google/mediapipe/issues/219), [issue 232](https://github.com/google/mediapipe/issues/232), [issue 104](https://github.com/google/mediapipe/issues/104), [issue 87](https://github.com/google/mediapipe/issues/87), and [issue 41](https://github.com/google/mediapipe/issues/41)
* Documentation
* [Setup MediaPipe on Coral dev board Edge TPU](https://github.com/google/mediapipe/blob/master/mediapipe/examples/coral/README.md)
* [Coral Object detection example](https://github.com/google/mediapipe/blob/master/mediapipe/docs/object_detection_coral_devboard.md)
* [Coral Face detection example](https://github.com/google/mediapipe/blob/master/mediapipe/docs/face_detection_coral_devboard.md)

* MediaPipe Multi-hand tracking example app
* For [Android](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/multihandtrackinggpu), [iOS](https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/multihandtrackinggpu) GPU, [desktop CPU/GPU](https://github.com/google/mediapipe/tree/master/mediapipe/examples/desktop/multi_hand_tracking)
* [BeginLoop](https://github.com/google/mediapipe/tree/master/mediapipe/calculators/core/begin_loop_calculator.h)/[EndLoop calculators](https://github.com/google/mediapipe/tree/master/mediapipe/calculators/core/end_loop_calculator.h) for processing a collection of elements iteratively
* Updated dependencies
* Support Bazel 1.1.0
* Update TensorFlow dependency to the most recent version
* Use ‘-std=c++14’ by default
* Use Google absl’s flat_hash_set and flat_hash_map for better performance.
* Bug fixes
* Fix a bug in OpenCVVideoDecoderCalculator for [issue 204](https://github.com/google/mediapipe/issues/204)
* Fix a bug in kinetics_dataset.py for [issue 228](https://github.com/google/mediapipe/issues/228)
* Documentation
* Multi-hands [mobile](https://github.com/google/mediapipe/blob/master/mediapipe/docs/multi_hand_tracking_mobile_gpu.md) & [desktop](https://github.com/google/mediapipe/blob/master/mediapipe/docs/multi_hand_tracking_desktop.md)
* Updated [list of public events for MediaPipe](https://github.com/google/mediapipe/blob/master/README.md)

* [MediaPipe Android development with Gradle](https://github.com/google/mediapipe/blob/master/mediapipe/docs/android_archive_library.md)
* Building Android AAR using Bazel
* Using MediaPipe built AAR in Android Studio
* [YT8mil baseline model inference pipeline](https://github.com/google/mediapipe/blob/master/mediapipe/docs/youtube_8m.md#model-inference-for-youtube-8m-challenge)
* Bazel versions supported are v0.24.1 to v0.29.1
* Bug fixes
* Android AAR for [issue 88](https://github.com/google/mediapipe/issues/88)
* Documentation
* [Model card for YT8mil baseline model](https://drive.google.com/file/d/1xTCi9-Nm9dt2KIk8WR0dDFrIssWawyXy/view)
* MediaPipe Android development with Gradle
* YT8M model inference

* [MediaPipe CPU & GPU graph runner for Desktop graphs with webcam](https://github.com/google/mediapipe/blob/master/mediapipe/examples/desktop/demo_run_graph_main.cc)
- Mobile graphs example & doc
- [Face Detection](https://github.com/google/mediapipe/blob/master/mediapipe/docs/face_detection_mobile_cpu.md)
- Mobile CPU
* Desktop graph examples & docs
- [Face detection](https://github.com/google/mediapipe/blob/master/mediapipe/docs/face_detection_desktop.md)
- Desktop GPU
- Desktop CPU
- [Object detection](https://github.com/google/mediapipe/blob/master/mediapipe/docs/object_detection_desktop.md)
- Desktop CPU
- [Hand tracking](https://github.com/google/mediapipe/blob/master/mediapipe/docs/hand_tracking_desktop.md)
- Desktop GPU
- Desktop CPU
- [Hair segmentation](https://github.com/google/mediapipe/blob/master/mediapipe/docs/hair_segmentation_desktop.md)
- Desktop GPU
* Allows android to print log output from native code. Fixed [issue 118](https://github.com/google/mediapipe/issues/118)
* Fix bug in YT8m feature extraction pipeline