Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How can I speed up the long inference time in first frame? #256

Open
shupinghu opened this issue Nov 8, 2024 · 1 comment
Open

How can I speed up the long inference time in first frame? #256

shupinghu opened this issue Nov 8, 2024 · 1 comment

Comments

@shupinghu
Copy link

Dear authers, thanks for your contribution on model-free/based 6d pose estimation, this is actually an amazing work and really has a fantastic performance.

But I observed that the inference speed of first frame is slow, so I would want to speed up it. The inference time in first frame mainly costs on pose refiner and pose scorer, so I have tried to use less viewpoints or less iterations to do pose refining, but it would increase the pose error. Do you have any other ideas about it?

Since the inference time in first frame mainly costs on model inference, maybe a lighter model structure would make sense, could you please provide a lighter model or whole training code?

@wenbowen123
Copy link
Collaborator

https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_pose_estimation
this repo did some acceleration for that.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants