Comments (3)
Hi @efyphil , I worked on autonomous driving datasets and I haven’t tried indoor scenes. The algorithm was trained on the KITTI dataset. I think that the data that I trained on is too different from indoor imagery for the network to generalise well. You might need to train the algorithm on a dataset that contains indoor scenes.
from panoramic-depth-estimation.
@gdlg thanks for fast answer. I'll try to train on different dataset, about bad result it's my fault. I didn't crop the image, after cropping it seems better
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@efyphil Thanks for the update. For the images that I was working for, cropping was fine. It’s a limitation of the approach that it doesn’t work with the full vertical field of view.
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Related Issues (8)
- The web address of the dataset you provided cannot be connected HOT 1
- AttributeError: 'tuple' object has no attribute 'type' HOT 1
- How to get the depth value you predicted HOT 4
- Rules for Definition of Depth HOT 9
- Bad depth prediction results HOT 2
- About training dataset & dataset transformation HOT 3
- Some problems about function. HOT 1
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