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MediaPipe Pose - add training data to the model?
Is it possible to add training data to MediaPipe Pose, so it better recognizes irregular poses?
Hi @tomerlevi444 , Did you get a chance to check this closed issue https://github.com/google/mediapipe/issues/1824
What you suggest is not quite what I look for.
I have tens of thousands of annotated images of a person in different body poses, and I would like to train the tflite model of mediapipe to learn (not predict) from these images.
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.
Closing as stale. Please reopen if you'd like to work on this further.
Hey, in case you're still interested, check out #3410 , #2761 and #507. I have been looking for an answer on this as well and found these threads quite helpful.
Hi @tomerlevi444 , For python you can create your own graph using the calculators and execute as mentioned here https://google.github.io/mediapipe/getting_started/python_framework.html#graph. Have you looked at these closed issues https://github.com/google/mediapipe/issues/2761 and https://github.com/google/mediapipe/issues/507. Thank you!
Hi @tomerlevi444, I assume you intended make the existing Mediapipe model learn from your data (transfer learning) than training a model from scratch. Hope you found a solution to the problem you mentioned.
Were you able to use the Mediapipe model and make it learn from your own dataset? I am having a similar requirement and unable to find a solution.
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.
Hi @tomerlevi444 and @csn1800 did either of you have any success with transfer learning with Mediapipe? I'm trying to find if this is possible myself.
@il-nietos I have not given much time for transfer learning later on, however, it seems that PINTO mode zoo maybe of help to you.
For eg, you may use https://github.com/PINTO0309/PINTO_model_zoo/tree/main/053_BlazePose, download the resources and try using the saved model to enhance and/or modify the model further. I have not tried it on my own, so not sure how efficient the models can be on resource constrained platforms.
Objective: To Fine Tune Pose Estimation Solution with Animal Dataset.
I want to use Mediapipe Solution (POSE) for animal pose estimation. I have the raw data of cow pictures, how to make that data compatible to be trained with Mediapipe Solution?