Is there a quantized float16 version of the face_mesh_landmark.tflite model file? #5773
Labels
legacy:face mesh
Issues related to Face Mesh
platform:android
Issues with Android as Platform
platform:python
MediaPipe Python issues
type:modelmaker
Issues related to creation of custom on-device ML solutions
Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
None
OS Platform and Distribution
android11, linux
Python Version
3.9
MediaPipe Model Maker version
No response
Task name (e.g. Image classification, Gesture recognition etc.)
facial keypoint recognition
Describe the actual behavior
The existing face_mesh_landmark.tflite is in float32 format.
Describe the expected behaviour
Expected face_cesh_1andmark.tflie to have float16 format and saved'model format
Standalone code/steps you may have used to try to get what you need
face_mesh_landmark.tflite
Other info / Complete Logs
No response
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