Bump mediapipe from 0.8.7.3 to 0.8.11

[dependabot]

Bumps mediapipe from 0.8.7.3 to 0.8.11.

Release notes

Sourced from mediapipe's releases.

Model download from GCS

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).
• 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.

Windows build system improvements

Build changes

• Fixed a duplicate symbol conflict in the Windows build

Update Bazel to 5.2

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 and framework improvements

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, VectorSizeCalculator, and DetectionTransformationCalculator.
• MediaPipe Tensor now supports uint8 and int8 data type.
• New features in TensorsToDetectionsCalculator.

MediaPipe Android Solutions and Hand World Landmarks

MediaPipe Android Solutions

• MediaPipe Hands, Face Detection, and Face Mesh Android Solutions are now available in Google's Maven Repository.
• The Android Studio example project is available in mediapipe/examples/android/solutions.

MediaPipe Hands

• MediaPipe Hands models are updated.
• MediaPipe Hands now supports outputting world landmarks in world coordinates.

MediaPipe Dependencies

• MediaPipe Python wheels 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.

Additional options in MediaPipe Face Mesh and Holistic

• MediaPipe Face Mesh
  • Added an 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 that enables refine_landmarks.
• MediaPipe Holistic
  • Added the enable_segmentation and smooth_segmentation option in the Solution APIs, previously only available in MediaPipe Pose.

Commits

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