Comments (7)
Yes, you are right, we are currently updating the model after fixing several bugs in architecture. That is why, the provided model weights should not fit the model.
We will update the provided model as soon as possible. I apologize for the inconvenience.
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No problem, just wanted to try out the model. I also had to switch torch.Resize to torch.Scale in transforms.py. Thanks for the quick response, good luck with fixing!
from monodepth-pytorch.
Yes, you are right, we are currently updating the model after fixing several bugs in architecture. That is why, the provided model weights should not fit the model.
We will update the provided model as soon as possible. I apologize for the inconvenience.
look forward to updating as soon as possible
from monodepth-pytorch.
@xiaohedu We will provide pretrained model in a couple days. But until that you can try to train this model yourself if you have KITTI dataset.
from monodepth-pytorch.
@xiaohedu We will provide pretrained model in a couple days. But until that you can try to train this model yourself if you have KITTI dataset.
thank you.
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While we are training a new model (have technical issues, probably takes one more week) you can switch to commit 5664039 and use our old model provided in README (demo video in README was made using exactly this model).
But for correct work you should replace ImageLoader with KittiLoader in main_monodepth_pytorch.py in line 160. And also make relevant changes in paths to images and to model in demo notebook.
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@stashvala @xiaohedu Ok, we updated the code in the master branch, fixed several bugs and provided a new pretrained model along with the updated jupyter notebook for the training recreation. Hope, it helps.
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Related Issues (20)
- how to output the predicted right image HOT 1
- This code is able to reproduce similar results to those in the original paper HOT 16
- RMSE keeps increasing after 25 epochs training while disparity prediction looks fine
- Question about how to get the original image HOT 1
- How do you compute L-R Consistency HOT 1
- Difference between ResNet50_md and ResNet model
- why the disp_gradient_loss, lr_loss is zero and the total loss is not getting converging?
- test my data HOT 2
- How can I get deep information? HOT 2
- disparity map error HOT 1
- [Question] How to get the metric disparity value? HOT 3
- [Feature requested] Support for depth-separable(depth-wise) backbones such as MobileNetV2, EfficientNet... HOT 1
- Can anyone provide the download URL of pretrained model 'monodepth_resnet18_001_cpt.pth' in this repository? HOT 6
- Why horizontal flip HOT 1
- Key already registered with the same priority: GroupSpatialSoftmax HOT 1
- Does this work on stereo image pair (not video) HOT 3
- How to interpolate the sparse gt depth map? HOT 1
- What is the loss value of the trained model? HOT 1
- Training data with monocular HOT 1
- datasets HOT 1
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