Comments (7)
Hi, which python and torchvision are you using?
from pseudo_lidar.
Same here, I'm using torch 1.0.0
from pseudo_lidar.
Hi,
This psmnet only works with torchvision 0.2. I suggest you install pytorch 0.4 and torchvision 0.2.
from pseudo_lidar.
Disparity does not seem to be performing well.
Despite using the finetune_300 provided, it does not give good performance disparity.
what's wrong?
Hi, same problem, I'm using torch 0.4.1 and torch1.0.0(torchvision 0.2.1), however it doesn't make any difference. Do you solve it?
from pseudo_lidar.
Same! Anybody solve this problem ?
from pseudo_lidar.
I solve this problem by using another PSMNet repo, which supports pytorch 1.6. https://github.com/JiaRenChang/PSMNet
from pseudo_lidar.
I solve this problem by using another PSMNet repo, which supports pytorch 1.6. https://github.com/JiaRenChang/PSMNet
Same! I solve this problem by using the PSMNet repo,and I found you can replace the main() function of submission.py with the main() function of submission.py in PSMNet. it's work.
from pseudo_lidar.
Related Issues (20)
- Evaluation with pre-trained frustum pointnet HOT 1
- AVOD pre-trained weights for mono pseudo-lidar HOT 1
- have trouble in Train the stereo model
- pseudo lidar HOT 1
- pseudo lidar gives wrong converted point cloud HOT 1
- Can not install pytorch with Python 2.7 HOT 2
- Training for my own custom data HOT 3
- If you need PSMNet but only want to go with python 3, check this repo then HOT 1
- Why pseudo point cloud results in this proposed method seem too far different from LIDAR? HOT 4
- question about dataloader
- About the calibration problem between the true location and the Pseudo-LiDAR HOT 1
- [Feature requested] Python3 support
- How did you handle calib matrices in mono+depth setting HOT 4
- Why does the nan value appear in loss when training the stereo model?
- Confusion about paper table 5
- visualization code cannot get point cloud output HOT 1
- Visualising Pseudo and Real LiDAR HOT 1
- Training Custom dataset
- Nuscenes dataset application
- can you share the dorn project
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