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festa's Issues

About KeyError: 'state_dict'

Hi. Thanks for sharing your code.
I run FESTA on my GTX 1080TI and change epoch from 500 to 100.
After training, i run the test.sh, but there is the error i cannot solve:

Traceback (most recent call last):
  File "/root/.pycharm_helpers/pydev/pydevd.py", line 1483, in _exec
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "/root/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "/root/FESTA/train.py", line 467, in <module>
    main()
  File "/root/FESTA/train.py", line 430, in main
    net.load_state_dict(checkpoint['state_dict'])
KeyError: 'state_dict'

I have debugged this code, i found there is no dict which named 'state_dict' in model.best.t7.
I am expecting your kindly Reply.

About Visualization

Hi, how is the point cloud visualization in the paper done, it looks very 3D stereoscopic.

The quantitive results on your paper is different from the previous works..

Thank you so much for sharing you code ..
May I ask you please about the difference between the result on your paper and the previous works like PointPWC-Net, HPLFlowNet, PV-RAFT ? and how do get a different results for these works while they are not mentioned in their original papers? Is there a specific way to calculate these values?

Thanks in advance and hope you can see and answer my question..

pre-trained model?

Hi,
Thanks for this wonderful project! Can you share the pre-trained model on Flyingthings3D?
Besides, I only use the geometry information to train FESTA on FlyingThings3D, it cannot achieve the EPE of 0.1253.
Final test results on FlyingThings3D:
mean test loss: 0.024688
mean test epe_3d: 0.134604
mean test acc_3d: 0.363211
mean test 3d_2_sum: 0.686857
mean test mask_sum: 0.160795
mean test epe_3d end: 0.133733
mean test acc_3d end: 0.363290
mean test 3d_2_sum end: 0.687539
mean test mask_sum end: 0.160651
Final test results on KITTI without fine tuning:
mean test loss: 0.028747
mean test epe_3d: 0.153715
mean test acc_3d: 0.197930
mean test 3d_2_sum: 0.579847
mean test mask_sum: 0.071703
mean test epe_3d end: 0.152873
mean test acc_3d end: 0.197633
mean test 3d_2_sum end: 0.580544
mean test mask_sum end: 0.070945.
The results are worse than the results listed in Table2. I wonder if some parameters need to be adjusted!

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