Predicted depth maps aren't as expected.
onizuka94 opened this issue · comments
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 ?
hard to say without any colourbars. Does the depth metric become better as the training progresses?
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
How do you get the segmentation and depth of field results from the trained model?
I've trained the model.
How can I get the inference notebook.Can you help me?