Closed mohakbhardwaj closed 2 years ago
Hey Mohak, thanks for your interest in our work!
For multi-frame mode, I believe most of the functionality should be there, but user interaction is required to decide which image frames to keep, and when to clear the keypoint buffers.
I think these instructions should work. Could you please confirm whether this works for you, or if you ran into any issues?
single_frame_mode = False
rosservice call /dream/capture_frame
rosservice call /dream/clear_buffer
An important assumption in multi-frame mode is that the camera-robot transform is expected to be static. (This isn't the case with single-frame mode, as it runs inference at each frame.) So, the use case you've described (moving the robot to different poses) should provide a more accurate calibration estimate than in single-frame mode alone. Hope that helps!
I'll go ahead and close this issue for now, but in case you still have difficulties, please comment and I'd be happy to re-open the issue to help troubleshoot!
Hi, I am trying to run DREAM in multi-frame mode with ROS using launch_dream_ros.py on a Franka Panda robot. However, in the code it appears that the PnP solver is only called when running in single-frame mode as shown below.
Could you let me know how I can setup PnP with multi-frame mode? I would like to move the robot to different poses and obtain an accurate estimate of camera to robot base transform.