Predicted depth maps aren't as expected.

[onizuka94]

I have trained the model using a custom dataset, where the GT_depth maps were generated using colmap. However after training, and running the inference notebook, this is what I get as output, the predicted depth maps seems more to be as normal maps.
@DrSleep any idea or guidance on the matter ?

[DrSleep]

hard to say without any colourbars. Does the depth metric become better as the training progresses?

[onizuka94]

@DrSleep nope, The RMSE is stuck at 0.8xxx .

[DrSleep]

0.8xxx by itself does not tell me anything.

Since you are using a custom dataset, make sure that its structure is identical to NYUD since that the dataset which the training example is based upon. Concretely, make sure that you set depth_scale and ignore_depth to the correct values in your configuration. Defaults are here

[13sunmin]

How do you get the segmentation and depth of field results from the trained model?

[13sunmin]

I've trained the model.
How can I get the inference notebook.Can you help me?