Ask in the issue, or you need to build it or WAIT

The .tflite model file has to be converted from the TensorFlow model trained by the MediaPipe team, so only they can "build" the file.

Now I'm confused -- You suggested integrating it to this project, so I thought that you had it or you know where it was.

I'd like to close this issue temporarily if your suggestion is "WAIT". I'll reopen it when it gets ready.

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The new Face Landmarker solution has been published, with support for ARKit Blendshapes.
https://developers.google.com/mediapipe/solutions/vision/face_landmarker

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Step1 :

face_blendshapes.tflite

Step2 : according to this project

• Converts .tflite into ONNX using tflite2onnx
• Replace Pad operators with combinations of ConstantOfShape and Concat.
• Add Expand operators to PRelu slope inputs.

from facemeshbarracuda.

Thanks for the request, but I can't find any information about it in the suggested documentation below.

Latest Documentation for April 2023

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Unfortunately, I can't understand what you're trying to tell with this post. Please note that I can't speak English. I'd appreciate if you could keep posts clear, simple and easy to understand.

Step1 :

face_blendshapes.tflite

Step2 : according to this project

• Converts .tflite into ONNX using tflite2onnx
• Replace Pad operators with combinations of ConstantOfShape and Concat.
• Add Expand operators to PRelu slope inputs.

from facemeshbarracuda.

Here is the unit test to work on the 52 blendshapes
https://github.com/google/mediapipe/blob/master/mediapipe/tasks/cc/vision/face_landmarker/face_blendshapes_graph_test.cc

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URL link to face_blendshapes.tflite

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That's the link to the source code. Where can I download the file itself?

URL link to face_blendshapes.tflite

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Ask in the issue, or you need to build it or WAIT

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google-ai-edge/mediapipe#4162 (comment)

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@keijiro

See the mediapipe blendshapes in action

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Thanks for the update. Okay, it seems worth a try.

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@keijiro

if you need to interact with others working on blendshape
Here

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