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
deeplio:
dropout: 0.25
pretrained: false
model-path: ""
lidar-feat-net:
name: "lidar-feat-simple-1"
pretrained: false
model-path: ""
imu-feat-net:
name: "imu-feat-rnn" # See the name is commented out
pretrained: false
model-path: ""
odom-feat-net:
name: # "odom-feat-fc" # See the name is commented out
pretrained: false
model-path: ""
fusion-net: "fusion-layer"
why you comment odom-feat-fc, I think odom is still necessary but fusion-net should be commented.
The text was updated successfully, but these errors were encountered:
I have trained lidarsegpoint net + odometry RNN net, the result is very bad no matter in training dataset and test dataset. Could you give me some instructions about how to reproduce the result of DeepLO in the paper?
Btw, in DeepVO (https://github.com/ChiWeiHsiao/DeepVO-pytorch), the network is CNN + LSTM, which I think is similar with lidarsegpoint net + odometry RNN net I have tested. But the results are very bad in my test.
I know why you did not comment fusion-net in DeepLO, because the fusion-net will be created only when both lidar-net and imu-net existed. So why you comment out odom-net in DeepLO?
DeepLIO Network
deeplio:
dropout: 0.25
pretrained: false
model-path: ""
lidar-feat-net:
name: "lidar-feat-simple-1"
pretrained: false
model-path: ""
imu-feat-net:
name: "imu-feat-rnn" # See the name is commented out
pretrained: false
model-path: ""
odom-feat-net:
name: # "odom-feat-fc" # See the name is commented out
pretrained: false
model-path: ""
fusion-net: "fusion-layer"
why you comment
odom-feat-fc
, I think odom is still necessary butfusion-net
should be commented.The text was updated successfully, but these errors were encountered: