github google/mediapipe v0.10.11
MediaPipe v0.10.11

latest release: v0.10.13
one month ago

Build changes

  • Updated genai C package visibility

Framework and core calculator improvements

  • Prevent UnpackMediaSequenceCalculator from segfaulting on a type of malformed input.
  • Updated import statements of llm_inference_engine.h to support C
  • Refactor OpenGL 3.1 path out of TensorsToSegmentationCalculator main file.
  • Add 'addRawDataSpanToInputSidePacket' and addRawDataSpanToInputStream binding functions.
  • Update DotAttention interface to take SelfAttentionWeights
  • Remove customized DotAttention
  • Update Tensorflow dependency to latest release
  • Update InferenceCalculator documentation on DELEGATE side input.

MediaPipe Tasks update

This section should highlight the changes that are done specifically for any platform and don't propagate to other platforms.

Android

  • Add LlmInference stats logging
  • Changed max_sequence_length naming to max_tokens

iOS

  • Added iOS LlmInferenceError, LlmInference, LlmTaskRunner
  • Removed init with default params in LlmInferenceOptions
  • Updated iOS task runner to delete C LLM Session on deallocation
  • Updated variable names in iOS LlmTaskRunner
  • Updated access of C LLMSession to fileprivate
  • Updated access of some constants in iOS LlmInference
  • Removed unwanted iOS BUILD targets
  • Added iOS Gen AI build scripts
  • Added iOS Gen AI files
  • Updated parameter names in LlmSessionConfig create
  • Added asynchronous predict and generate function to iOS LLM Task Runner
  • Removed decoded response from iOS LlmTaskRunner
  • Updated iOS error enum cases
  • Updated response generation state logic in iOS LlmInference
  • Fixed error handling in iOS LlmInference
  • Updated error message in iOS GenAiInferenceError
  • Fixed unitialized response array in iOS LlmTaskRunner
  • Added podspec templates of the iOS Gen AI framework

Javascript

  • Add visibility field in landmark.d.ts
  • Update landmark_result.ts with visibility support

Python

  • Register model_ckpt_util in Python framework
  • Expose HolisticLandmarker module as other modules
  • Create empty module if ENABLE_ODML_CONVERTER is not set
  • Optimized memory usage for conversion script

Model Maker changes

  • Remove jax and torch from model maker requirements.txt
  • Use tf model optimization < 0.8.0 due to tf.keras and tf_keras compat issues

MediaPipe Dependencies

  • Update WASM files for 0.10.11 release

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