Comments (5)
Hi. Do you use single images for prediction, or multiple images?
from manydepth.
having a similar issue.
single image prediction.
from manydepth.
With single image prediction this is probably acceptable quality of depth maps. You have different intrinsics then at training time, and there are no additional images to resolve depth ambiguities.
from manydepth.
thank you for your reply.
But why do you assume different intrinsics?
if I train and test on images generated from the same camera rig, it's the same intrinsics, right?
from manydepth.
Oh, sorry I thought this is trained on KITTI. You are right, the intrinsics would be the same. I would suggest to make a multi-frame prediction and see if local/global scale is correct. If it too bad, then there may be a problem with data loading/processing or the model has not converged.
from manydepth.
Related Issues (20)
- Training on NYU-V2 Dataset
- Stereo + Tempora (training with stereo video like monodepth2)
- About cityscapes disparity to depth_gt HOT 2
- Can the scale ambiguity be resolved with multi-frame approach? HOT 1
- Depth Estimation Results on Single Frames
- Question of relative pose in matching augmentation.
- how to test many frames at the same time?
- Help training out bright reflection... HOT 1
- About scale problem in monocular setting HOT 2
- Why the training time of manydepth is much shorter than monodepth2? HOT 3
- when i test the image,the result of the depth is black HOT 1
- About MAX gt_depth HOT 2
- Get gt depth for other Cityscape images HOT 2
- Calculate the gt depth for Cityscape images HOT 3
- About qualitative results presented in Figure 4 HOT 1
- The dataset GT-Calculation HOT 1
- what should the
- How to conduct multi GPU training
- On the pre training model of cityscapes HOT 3
- custom dataset prepare
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from manydepth.