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While loading the pre-trained FCOS-3D weights for training, the code complains about incompatible keys.
Upon analyzing it, most of the "incompatible" keys are as expected (eg, tpv_aggregator, tpv_head related keys missing in the loaded model and bbox_head keys missing in the defined model).
However, one set of items still did not make sense to me. For the image_backbone (and possibly for image_neck) batch norm layers, the running_mean, running_var, and num_batches_tracked keys are present in the checkpoint, but not in my model definition. I am not sure if this is intended -- a quick Google search says that these parameters are critical for training and inference, even if the BN parameters are frozen.
Could you shed some light on this?
The text was updated successfully, but these errors were encountered:
While loading the pre-trained FCOS-3D weights for training, the code complains about incompatible keys.
Upon analyzing it, most of the "incompatible" keys are as expected (eg,
tpv_aggregator
,tpv_head
related keys missing in the loaded model andbbox_head
keys missing in the defined model).However, one set of items still did not make sense to me. For the
image_backbone
(and possibly forimage_neck
) batch norm layers, therunning_mean
,running_var
, andnum_batches_tracked
keys are present in the checkpoint, but not in my model definition. I am not sure if this is intended -- a quick Google search says that these parameters are critical for training and inference, even if the BN parameters are frozen.Could you shed some light on this?
The text was updated successfully, but these errors were encountered: