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

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Can the model infer on CPU or only on GPU? Can it infer high resolution image or at max, what resolution of the image can be inferred Can the model...

Hello guys, Can the hand tracking model be used on a device like raspberry pi with an edge device like Coral TPU? Thanks

type:support
solution:hands
stat:awaiting response
platform:coral

**System information** - Have I written custom code (as opposed to using a stock example script provided in Mediapipe): No - OS Platform and Distribution (e.g., Linux Ubuntu 16.04, Android...

type:support

If I want to replace pose_detection.tflite with my own pose detection model(eg. HRNet-Human-Pose-Estimation), what should I do to make it work? Can you give me some advice? Thanks very much.

type:support
platform:tflite
solution:pose

**Background** I created an Android app with hand tracking function which uses the aar library. The app works fine with the **hand detection function** but it crashes when I try...

type:bug

Please make sure that this is a build/installation issue and also refer to the [troubleshooting](https://google.github.io/mediapipe/getting_started/troubleshooting.html) documentation before raising any issues. **System information** (Please provide as much relevant information as possible)...

type:build/install
platform:android
MediaPipe
stat:awaiting response

Hello guys, Is there a way to detect palms in python without detecting all hand landmarks ?

type:support
solution:hands
stat:awaiting response
platform:python

Please make sure that this is a [solution](https://google.github.io/mediapipe/solutions/solutions.html) issue. **System information** (Please provide as much relevant information as possible) - Have I written custom code (as opposed to using a...

type:support
platform:ios
stat:awaiting response
solution:pose

Hi guys I need some help to solve my issue I want to draw a landmark of the body part of the image with only the images of the arms...

type:support
MediaPipe
stat:awaiting response

GPU based desktop face detection is not working in the custom ARM platform with Mali G52 GPU (3 cores). The running environment has 64 bit kernel and 32 bit rootfs....

type:support
stat:awaiting response
framework
solution:face detection