Comments (3)
@BrianWayland My valid loss is also very low but when I test them, I get very bad results as well.
Have you solved this issue?
from deepvo-pytorch.
Hello, I also got the same bad result as shown below, so can anyone solve this problem?
from deepvo-pytorch.
I was not even able to reproduce these results. I trained a model with the same data and the loss definition and hyperparameters in the current commit, which seem to be the ones used to train the for the provided model in the README, but my results after 250 epochs are way worst than this.
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Related Issues (20)
- Sorting Issue of input images HOT 1
- hello,could you tell me how to fix the problem you meet.Thx> try flownets_EPE1.951.pth.tar. Also it seems that your NN is undertrained.
- is the relative pose computation correct? HOT 1
- No license?
- Problems of data preprocessing HOT 1
- Results Using Pretrained Model
- Data preprocessing and provided model
- ./test.py
- Execution error HOT 6
- FlowNet link cracked HOT 2
- dowloader.sh is stuck at raw images download
- ZeroDivisionError: division by zero
- Pretrained FlowNet weight missing
- Train loss and test loss HOT 1
- ZeroDivisionError why ? HOT 1
- Train takes to much time ? HOT 2
- validation sequences vs testing sequences HOT 1
- KeyError:'eps' HOT 2
- Trajectories of VO testing results on Sequences HOT 1
- Doing something clearly wrong... HOT 2
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