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Hello author:
I conducted a reconstruction experiment, but there was a gap between the results of the paper.
I set parameters as :
method recon;loss_compact 0.01;loss_separate …
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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 tha…
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Thanks for your sharing!I have a question about your models.In your model folder,there have two models named wresnet1024_cattn_tsm.py and wresnet2048_multiscale_cattn_tsmplus_layer6.py.What‘s the diff…
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Hello,
First of all, thank you for your paper and code. I trained your model on a cluster with 2 GPUs.
Did you use this code? **python train.py --dataset_type ped2 --pseudo_anomaly_jump 0.01 --j…
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You do a great job and it's a lot of interesting. I found some problems in the process of reproducing your work. After training for 5 epochs on avenue and ped2, an error will be reported after the fir…
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Run the following command:
python extract_bboxes.py --proj_root=/data1/zhouwx/hf2vad-master/ --dataset_name=ped2 --mode=train
Problem:
Traceback (most recent call last):
File "data/hf2vad-mast…
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Hi, i'm trying to train ped2 dataset and always fail when training the generator, i'm using google colab for this, any idea what could be the problem? RAM issue?
```
No checkpoint file found.
Tra…