Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
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What does this message in regards to arguments for weights being deprecated since 0.13 being removed in 0.15? #178
C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torchvision\models_utils.py:223: UserWarning: Arguments other than a weight enum or None for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing weights=None.
What does this message mean? I don't really know anything about python or coding and pretty much guessed my way into getting this program working after being pointed towards the github. I am trying to run the process with the dpt_large weight and am wondering if it is actually running with it or if it is running with none based on what the message says.... Or am I just misunderstanding it completely?
C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torchvision\models_utils.py:223: UserWarning: Arguments other than a weight enum or
Nonefor 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passingweights=None.What does this message mean? I don't really know anything about python or coding and pretty much guessed my way into getting this program working after being pointed towards the github. I am trying to run the process with the dpt_large weight and am wondering if it is actually running with it or if it is running with none based on what the message says.... Or am I just misunderstanding it completely?