MPN
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Official codes of CVPR21 paper: Learning Normal Dynamics in Videos with Meta Prototype Network
Excuse me, I want to ask about, to training shanghai data set, if need to use the training model of the shanghai data set on the MPU as pre-trained model...
My re-implemented results in unsupervised anomaly detection (1000 epochs for all the three datasets): **Ped2: 95.0% Avenue: 82.2% ShanghaiTech: 72.9%** The result on Avenue is much lower than that reported...
File "Test.py", line 173, in outputs, feas, _, _, _, fea_loss = model.forward(imgs[:,:3*4], update_weights, False) ValueError: not enough values to unpack (expected 6, got 2) how can I solve it?
when i run Train_meta.py,a problem happened， RuntimeError: cannot reshape tensor of 0 elements into shape [0, -1, 128] because the unspecified dimension size -1 can be any value and is...
I used the provided pretrained model, but got AUC=80.1310% on ped2, which is much lower than the AUC reported in the paper(`Ours w DPU: 96.9`) I moved the pretrained model...
The script gave an error as the VideoDataLoader was not imported in the file
How to train DPU? Is AE+DPU trained together? Or do you train AE first and then AE+DPU?
Do you know data/frame_ labels_ ped1.npy, what do 0 and 1 stand for here? I suspect some picture with 1 and some picture with 0, and I can't find the...
Hi, First, congratulations for the great paper and thank you for publishing the code. Unfortunately, I'm not able to reproduce the results in the unsupervised setting described in the paper...
