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Thanks for your great work and opensource, I have a question about the coordinate transformation.
I have checked the code, you have transformed the previous pointclouds to current frame coordinate during training, right?
if sweep["transform_matrix"] is not None:
points_sweep[:3, :] = sweep["transform_matrix"].dot(
np.vstack((points_sweep[:3, :], np.ones(nbr_points)))
)[:3, :]
But in deployment inference, we will just save and use previous featuremap in the memory bank, and the feature map has not transformed to current frame. So there is a gap here.
Please correct me, if I am wrong, thanks!
The text was updated successfully, but these errors were encountered:
Thanks for your great work and opensource, I have a question about the coordinate transformation.
I have checked the code, you have transformed the previous pointclouds to current frame coordinate during training, right?
But in deployment inference, we will just save and use previous featuremap in the memory bank, and the feature map has not transformed to current frame. So there is a gap here.
Please correct me, if I am wrong, thanks!
The text was updated successfully, but these errors were encountered: