Comments (3)
Hi, thank you for your interest!
We used the KITTI raw dataset only in order to replicate the learning process of the original authors repo. We used the following subset as a hold-out validation:
2011_09_26_drive_0002_sync 2011_09_29_drive_0071_sync
2011_09_26_drive_0014_sync 2011_09_30_drive_0033_sync
2011_09_26_drive_0020_sync 2011_10_03_drive_0042_sync
2011_09_26_drive_0079_sync
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Thank you!
I see that some of the videos are in gray scale.
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It's not that some videos are in grayscale, just every archive consists from additional data so you can find processed grayscale stereo sequences (usually subfolders image_00 and image_01) as well as processed color stereo sequences (usually subfolders image_02 and image_03)
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Related Issues (20)
- 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
- How can I generate depth maps for other image datasets using the code here?
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