Mediapipe

Build changes
- We are no longer adding *.tflite model files and other large binaries to our GitHub repository. Instead, these models are downloaded from Google Cloud Storage. This should speed up your getting started experience with MediaPipe (especially if you can work of a shallow clone of the repository) and allows us to expand our feature set without significantly increasing the size of the repository. Please update your Python binaries if they are fetching models from GitHub (see [download_utils.py](https://github.com/google/mediapipe/blob/d3f98334bfe533a57ec2c2fa85294c21e25fe0af/mediapipe/python/solutions/download_utils.py)).
- We have made the build targets `//mediapipe/objc:mediapipe_framework_ios`, `//mediapipe/objc:mediapipe_input_sources_ios`, `//mediapipe/objc:mediapipe_layer_renderer` publicly visible. These targets can now be used in external iOS applications.

Build changes
- Fixed a duplicate symbol conflict in the Windows build

Bazel update
- Updated Bazel to 5.2 to fix a build incompatibility issue

Framework and core calculator improvements
- Various updates to the underlying frameworks.

Apple Silicon support
- Support building MediaPipe on Mac computers with Apple Silicon.

Framework and core calculator improvements
- The required minimum ios version is now 11.0.
- New calculators: [GetVectorItemCalculator](https://github.com/google/mediapipe/blob/master/mediapipe/calculators/core/get_vector_item_calculator.h), [VectorSizeCalculator](https://github.com/google/mediapipe/blob/master/mediapipe/calculators/core/vector_size_calculator.h), and [DetectionTransformationCalculator](https://github.com/google/mediapipe/blob/master/mediapipe/calculators/util/detection_transformation_calculator.cc).
- MediaPipe [Tensor](https://github.com/google/mediapipe/blob/master/mediapipe/framework/formats/tensor.h) now supports uint8 and int8 data type.
- New features in [TensorsToDetectionsCalculator](https://github.com/google/mediapipe/blob/master/mediapipe/calculators/tensor/tensors_to_detections_calculator.cc).

[MediaPipe Android Solutions](https://google.github.io/mediapipe/getting_started/android_solutions.html)
- MediaPipe Hands, Face Detection, and Face Mesh Android Solutions are now available in [Google's Maven Repository](https://maven.google.com/web/index.html?#com.google.mediapipe).
- The Android Studio example project is available in [mediapipe/examples/android/solutions](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/solutions).

[MediaPipe Hands](https://google.github.io/mediapipe/solutions/hands.html)
- MediaPipe Hands models are updated.
- MediaPipe Hands now supports outputting [world landmarks](https://google.github.io/mediapipe/solutions/hands.html#multi_hand_world_landmarks) in world coordinates.

MediaPipe Dependencies

- MediaPipe [Python wheels](https://pypi.org/project/mediapipe/0.8.9.1/) are now supporting Python 3.10.
- The MediaPipe dependency library protobuf, tensorflow, cere solver, pybind, and apple support are updated.
- The recommended Bazel version is updated to 4.2.1.
- The recommended Android SDK and NDK versions are updated.

* [MediaPipe Face Mesh](https://solutions.mediapipe.dev/face_mesh)
* Added an [`refine_landmarks`](https://google.github.io/mediapipe/solutions/face_mesh#refine_landmarks) option in the Solution APIs to further improve landmarks around eyes and lips, and output additional landmarks around the irises.
* Released the [Attention Mesh ML model](https://google.github.io/mediapipe/solutions/face_mesh.html#attention-mesh-model) that enables `refine_landmarks`.
* [MediaPipe Holistic](https://solutions.mediapipe.dev/holistic)
* Added the [`enable_segmentation`](https://google.github.io/mediapipe/solutions/holistic#enable_segmentation) and [`smooth_segmentation`](https://google.github.io/mediapipe/solutions/holistic#smooth_segmentation) option in the Solution APIs, previously only available in [MediaPipe Pose](https://solutions.mediapipe.dev/pose).