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Cross-platform, customizable ML solutions for live and streaming media.

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### Description of issue (what needs changing) please add more detail ### Clear description Hello, just out of curiosity, i am wondering what kind of accelerator is being use when...

type:support
gpu
task::all
stat:awaiting googler
platform::android

### MediaPipe Solution (you are using) LLM Inference ### Programming language Python&Android ### Are you willing to contribute it Yes ### Describe the feature and the current behaviour/state The LLM...

type:feature
platform:python
stat:awaiting googler
platform::android
task:LLM inference

Fix warning using `mp_pose.POSE_CONNECTIONS` (frozenset) in `draw_landmarks` function

### Have I written custom code (as opposed to using a stock example script provided in MediaPipe) Yes ### OS Platform and Distribution Windows 11 ### Mobile device if the...

legacy:hands
os:windows
platform:c++
type:bug

I'm working on implementing image segmentation using my own custom TFLite model, following the code example from MediaPipe. Here's my code: options = vision.ImageSegmenterOptions( base_options=base_options, running_mode=mp.tasks.vision.RunningMode.IMAGE, output_confidence_masks=True, output_category_mask=False ) mp_image...

type:support
platform:python
task:image segmentation

### Have I written custom code (as opposed to using a stock example script provided in MediaPipe) None ### OS Platform and Distribution Android ### Mobile device if the issue...

type:bug
stat:awaiting googler
platform::android
task:pose landmarker

### Have I written custom code (as opposed to using a stock example script provided in MediaPipe) None ### OS Platform and Distribution Web ### Mobile device if the issue...

platform:javascript
type:bug
stat:awaiting googler
task:image segmentation

### OS Platform and Distribution macOS 15 ### Programming Language and version JS ### Describe the problem Using `npm-check-updates`, the latest version is `20230920.0.0` You have released `0.10.22` etc, but...

type:build/install
platform:javascript
stat:awaiting googler
os:macOS

I am running the MediaPipe hand tracking pipeline on a resource-constrained edge device with limited CPU capabilities. However, the single-frame inference latency exceeds 1 second, which is impractical for real-time...

type:support
task:hand landmarker

### Have I written custom code (as opposed to using a stock example script provided in MediaPipe) None ### OS Platform and Distribution Android 13 ### MediaPipe Tasks SDK version...

platform:android
task:gesture recognition