Open Kewenjing1020 opened 3 years ago
Odometry is an accumulated sequentially from pairwise predictions, so the results using different models would be different even though these models show very similar accuracy on pairwise prediction.
Hi, I've tried to train my own model on KITTI Odometry for only 5 epoch, here's the accuracy I get:
Sequence: 9 Translational error (%): 93.34175477374941 Rotational error (deg/100m): 22.65699349729781 ATE (m): 193.29374882824112 RPE (m): 1.2917560700283468 RPE (deg): 0.6969629843516546 Sequence: 10 Translational error (%): 136.31391520845585 Rotational error (deg/100m): 21.387362426113125 ATE (m): 78.570022262845 RPE (m): 1.2763249421405172 RPE (deg): 0.5787483638322359
is the number of epochs that might cause this accuracy gap (also PoseResNet results are very similar for the same epochs)?
Hi, I've tried to train the pose model on KITTI Odometry by running
sh scripts/train_resnet50_pose_256.sh
, here's the accuracy I get:I didn't change anything in the code/script. What might cause this accuracy gap?