Can you tell me what code I have to add?
If I start training I get this error:
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:2854: UserWarning: The default behavior for interpolate/upsample with float scale_factor will change in 1.6.0 to align with other frameworks/libraries, and use scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. warnings.warn("The default behavior for interpolate/upsample with float scale_factor will change "
Loss is nan, stopping training {‘loss_classifier’: tensor(1.8139, device=‘cuda:0’, grad_fn=), ‘loss_box_reg’: tensor(nan, device=‘cuda:0’, grad_fn=), ‘loss_mask’: tensor(2.0006, device=‘cuda:0’, grad_fn=), ‘loss_objectness’: tensor(17.6392, device=‘cuda:0’, grad_fn=), ‘loss_rpn_box_reg’: tensor(19.2071, device=‘cuda:0’, grad_fn=)}
An exception has occurred, use %tb to see the full traceback.
SystemExit: 1
I created my Label with Labelbox. How can I ttest my data loader? If I print the pictures, they are shown correctly.