You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Recently, as TFLite support GPU accelerator using metal internally, I made PoseEstimation-TFLiteSwift repo, which inference various pose estimation models using TensorFlowLiteSwift library, for comparing with Core ML performance and library interface.
Providing the baseline code for pose estimation model and measure various pose model is the main purpose of the repo, which is similar to PoseEstimation-CoreML. And the repo support PoseEstimationForMobile models and google's PoseNet model
Hi, I'm the maintainer of tucan9389/PoseEstimation-CoreML repo and I would like to share PoseEstimation-TFLiteSwift repo.
Recently, as TFLite support GPU accelerator using metal internally, I made PoseEstimation-TFLiteSwift repo, which inference various pose estimation models using TensorFlowLiteSwift library, for comparing with Core ML performance and library interface.
Providing the baseline code for pose estimation model and measure various pose model is the main purpose of the repo, which is similar to PoseEstimation-CoreML. And the repo support PoseEstimationForMobile models and google's PoseNet model
If you want to see roadmap, please check the tucan9389/PoseEstimation-TFLiteSwift/issues.
Thanks for nice sample models 👍
The text was updated successfully, but these errors were encountered: