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
Thanks for the incredible effort on putting this dataset together! I was wondering how can I find the continuous trajectory actions/camera poses for each episode. If I look into "xR_VLNCE_v0/train/train_guide.json.gz", each episode has a trajectory_id field. Does this correspond to the keys in "RxR_VLNCE_v0/train/train_guide_gt.json.gz"? Or is it episode_id that corresponds?
In addition, where can I find the camera poses (location and rotation) for each trajectory? There's an "actions" field in "RxR_VLNCE_v0/train/train_guide_gt.json.gz", how do the actions integers map to actions (1 forward, 2 turn left, 3 turn right)? What does the "locations" field mean there? I would really appreciate if you could help understand the field structure a bit better.
Thanks!
The text was updated successfully, but these errors were encountered:
Thanks for the incredible effort on putting this dataset together! I was wondering how can I find the continuous trajectory actions/camera poses for each episode. If I look into "xR_VLNCE_v0/train/train_guide.json.gz", each episode has a trajectory_id field. Does this correspond to the keys in "RxR_VLNCE_v0/train/train_guide_gt.json.gz"? Or is it episode_id that corresponds?
In addition, where can I find the camera poses (location and rotation) for each trajectory? There's an "actions" field in "RxR_VLNCE_v0/train/train_guide_gt.json.gz", how do the actions integers map to actions (1 forward, 2 turn left, 3 turn right)? What does the "locations" field mean there? I would really appreciate if you could help understand the field structure a bit better.
Thanks!
The text was updated successfully, but these errors were encountered: