Request: FaceMesh-with-Attention model conversion (unsupported custom ops)

MediaPipe has released a new FaceMesh-with-Attention model

That’s basically an old FaceMesh model augmented with 3 additional new attention models that refine results, all inside single TFlite model:

• Repository: https://github.com/google/mediapipe
• Model: https://github.com/google/mediapipe/blob/master/mediapipe/modules/face_landmark/face_landmark_with_attention.tflite
• Info: https://google.github.io/mediapipe/solutions/face_mesh.html#attention-mesh-model
• ModelCard: https://drive.google.com/file/d/1tV7EJb3XgMS7FwOErTgLU1ZocYyNmwlf/preview

I’ve tried converting it:

tflite2tensorflow --model_path face_landmark_with_attention.tflite --flatc_path ./flatc --schema_path schema.fbs --output_pb

but it fails with

RuntimeError: Encountered unresolved custom op: Landmarks2TransformMatrix.Node number 192 (Landmarks2TransformMatrix) failed to prepare.

It seems that TFLite model is using custom ops to link different execution paths inside it - that is beyond me…