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Please make sure that this is a feature request.

System information (Please provide as much relevant information as possible)

• MediaPipe Solution (you are using): Mediapipe FaceMesh
• Programming language: Android Java
• Are you willing to contribute it (Yes/No): Not enough expertise

Describe the feature and the current behaviour/state: All I really want is the depth estimation which is not available in Mediapipe Facemesh. Mediapipe Iris has it but integrating into our project seems difficult Will this change the current api? How? Possibly. Who will benefit from this feature? A lot of people. I think Iris is more accurate for measuring the distance between the user and camera which has more benefits. Please specify the use cases for this feature: One of the features we want to implement is calculating if the user is looking parallel to the camera. Any Other info:

Hi @PraveshARMedical , Unfortunately, It's currently not supported. We do see this as a great feature to have and will prioritize this work.

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you.

Closing as stale. Please reopen if you'd like to work on this further.

Hello @PraveshARMedical, We are upgrading the MediaPipe Legacy Solutions to new MediaPipe solutions However, the libraries, documentation, and source code for all the MediapPipe Legacy Solutions will continue to be available in our GitHub repository and through library distribution services, such as Maven and NPM.

You can continue to use those legacy solutions in your applications if you choose. Though, we would request you to check new MediaPipe solutions which can help you more easily build and customize ML solutions for your applications. These new solutions will provide a superset of capabilities available in the legacy solutions. Thank you

This issue has been marked stale because it has no recent activity since 7 days. It will be closed if no further activity occurs. Thank you.

This issue was closed due to lack of activity after being marked stale for past 7 days.