OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
I am training using my self-created dataset in MMtracking with the script "bytetrack_yolox_x_crowdhuman_mot17-private-half.py". The command I use is: python tools/train.py configs/mot/bytetrack/bytetrack_yolox_x_crowdhuman_mot17-private-half.py.
When running one epoch, I encountered an error: return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
ValueError: zero-size array to reduction operation maximum which has no identity.
Does anyone know what might be causing this issue? Any help would be greatly appreciated.
I am training using my self-created dataset in MMtracking with the script "bytetrack_yolox_x_crowdhuman_mot17-private-half.py". The command I use is: python tools/train.py configs/mot/bytetrack/bytetrack_yolox_x_crowdhuman_mot17-private-half.py.
When running one epoch, I encountered an error: return ufunc.reduce(obj, axis, dtype, out, **passkwargs) ValueError: zero-size array to reduction operation maximum which has no identity.
Does anyone know what might be causing this issue? Any help would be greatly appreciated.