The multi-class selfie segmenter does not run in GPU delegate mode on the Android Chrome browser.

[bfactory-eng]

Have I written custom code (as opposed to using a stock example script provided in MediaPipe)

No

OS Platform and Distribution

Android 14

Mobile device if the issue happens on mobile device

Samsung zflip-3

Browser and version if the issue happens on browser

Google Chrome 122.0.6261.90

Programming Language and version

Javascript

MediaPipe version

0.10.10

Bazel version

No response

Solution

multi-class selfie segmentation

Android Studio, NDK, SDK versions (if issue is related to building in Android environment)

No response

Xcode & Tulsi version (if issue is related to building for iOS)

No response

Describe the actual behavior

The multi-class segmentation results are not being output correctly even on mediapipe studio examples

Describe the expected behaviour

The multi-class segmentation results should be output correctly.

Standalone code/steps you may have used to try to get what you need

I am trying to use a multi-class segmentation model for separating clothes, face, and background. It runs without any issues on macOS and iPhone mobile browsers (Chrome, Safari) with GPU delegate settings, but on Android browsers, the results are not output correctly.

Even when running examples from MediaPipe Studio, the output is abnormal. I will attach the results from MediaPipe Studio.

Other info / Complete Logs

In the console window of the Android Chrome browser, the following message is displayed. In particular, the second message (GL_INVALID_FRAMEBUFFER_OPERATION: Framebuffer is incomplete: Attachment has zero size) seems to be output for every video frame.

* GL_INVALID_VALUE: Desired resource size is greater than max texture size
* GL_INVALID_FRAMEBUFFER_OPERATION: Framebuffer is incomplete: Attachment has zero size.

[google-ml-butler[bot]]

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