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The original C3D model (used by the fantastic anomaly detection work of Waqas https://github.com/WaqasSultani/AnomalyDetectionCVPR2018) can be downloaded from here http://vlg.cs.dartmouth.edu/c3d/ (direct link: https://www.dropbox.com/s/vr8ckp0pxgbldhs/conv3d_deepnetA_sport1m_iter_1900000?dl=0 )
This caffe model, when python3 caffemodel2pytorch.py conv3d_deepnetA_sport1m_iter_1900000 -o conv3d_deepnetA_sport1m_iter_1900000.h5 errors out because net_param.layers contains blobs, but these blobs do not contain a data field, but many diff fields (one per weight)
I don't know why this is the case. I assume it is due to an older caffe version used
Please kindly add support for these kind of models as well
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