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Description
Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
None
OS Platform and Distribution
Linux Ubuntu 22.04
MediaPipe version
0.10.14
Bazel version
No response
Solution
Holistic / Face
Programming Language and version
Python
Describe the actual behavior
We employed the legacy solution on a large video dataset. We refrained from utilizing the new solutions due to accuracy problems (see our other issue #5569). We thus only possess the facial landmarkers as calculated by the legacy model
Describe the expected behaviour
We would also like to obtain the facial blendshape scores.
Standalone code/steps you may have used to try to get what you need
Is there any way to obtain the blendshape scores post-hoc from the facial landmarkers we calculated with the legacy model?
Other info / Complete Logs
No response
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Issues on linux distributions which run on x86-64 architecture. DOES NOT include ARM devices.MediaPipe Python issuesWaiting for Google Engineer's ResponseIssues related to Face Landmarker: Identify facial features for visual effects and avatars.Enhancement in the New Functionality or Request for a New Solution