Sourced from mediapipe's releases.

MediaPipe v0.10.15

​Build changes

• Fix unwanted dependency on GPU libraries.
• Adds TwoTapFirFilterCalculator.
• Add public visibility to graph_service headers.
• Disable ASAN, TSAN and MSAN tests which take more than 10 minutes.

Framework and core calculator improvements

• Update PointToForeign with an optional cleanup object.
• Enable BeginLoopCalculator for move-only types (e.g. Tensor) without Packet::Consume usage and copyable types without copying unless it's a fundamental type.
• Ensure proper release of resources in case of multiple AHWB reads.
• Enables the configuration of GpuBufferPool options via GpuResources::Create();
• Bugfix to correctly handle landmark projection in the non-square case.
• add utility to wait for a sync (represented by FD)
• Change a RET_CHECK to RET_CHECK_EQ
• KinematicPathSolver: Avoid overshooting target
• Introduce GetDefaultGpuExecutor(GpuResources) to allow executing all calculators on MP GPU thread.
• No destruction for static ahwb_usage_track_.
• Unbind framebufffer in Affine Transformation Runner GL
• Move/isolate ahwb_usage_track_ into tensor_ahwb
• Guard ahwb_tensor_track_ with mutex.
• Add SidePacketConnectionTest
• Update C++ Graph Builder to support executors and support input/output stream handlers.
• Node::Input/OutputStreamHandler -> Node::SetInput/OutputStreamHandler
• Add Packet::Share() method in replacement of SharedPtrWithPacket() function.
• Default to high-performance power preference hint for WebGL contexts. For some computers with dual GPUs (like MBP2019), this will more frequently give us the higher performance GPU, which is generally preferable for most of our use cases (realtime rendering and ML), since speed is more critical than power consumption. If necessary, the user can override this setting by requesting their canvas' WebGL context manually before initializing the graph.
• Introduce input_scale parameter to SpectogramCalculator.
• Improve documentation of graph options
• Add an option to PackMediaSequenceCalculator to add empty clip labels instead of ignoring them. This is useful when we want to distinguish processing errors from no-detections.
• Updates language detection headers
• Fix dangling error reporter pointer in memory mapped models
• Fix for possible infinite stall using setOptions immediately before a loadLoraModel call.
• Add relu1p5 op, abs op, Log op, mdspan and Lhs Broadcast Sub with test
• Fix missing member move in Tensor class
• Add support for single Tensor output streams for ImageToTensorCalculator.
• Fix some compilation errors in WebGPU code. These changes are all minor.
• Add single tensor output support to tensor_converter_calculator.
• Replace QCHECK with ABSL_QCHECK and CHECK with ABSL_CHECK.
• Fix a bug in TensorAHWB that triggers a crash with multiple delayed AHWB readers followed by a CPU reader.
• Fixes an unnecessary allocation of GraphServiceManager in case it is adopted from the calculator context.
• Fix triggering of DFATAL message.
• Remove xnn_enable_avx512fp16=false from .bazelrc
• Replace uses of TfLiteOperatorCreate with TfLiteOperatorCreateWithData
• Compile with '--keep_going' in setup.py
• Update ndk version so that our open source users get the best possible performance out of mediapipe.
• Correct address of android ndk
• Replace absl::make_unique with std::make_unique in tensor.cc and tensor_ahwb.cc.
• LLM decode benchmarks fill the cache with a predefined number of tokens before starting decoding.
• Add logic to drop the offending non-monotonically increasing timestamp in the MicrophoneHelper.
• Make packet payload const.

... (truncated)

• e252e56 Update WASM files
• 676793e No public description
• 49e064a No public description
• e46e6d4 Sync on ssbo_writte_ before mapping an AHWB to a CpuReadView.
• 80b8bbc New goldens for iOS in text embedder, classifier tests
• 73ea396 New goldens for text embedder, classifier tests
• 46b800a No public description
• ff6aabb Update goldens
• a82d59e No public description
• fd45be2 No public description
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