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Hi, thanks for presenting your great work.
I have a problem while reproducing the results on ped2 dataset, the AUC never reached 99% as mentioned in the paper. I got 97% after training, and after f…
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Hi @sinnweja,
Thank you for developing kinship2 package. I found it extremely useful for plotting pedigrees, and it's a time saver!
I plotted my pedigree (see attached file) but would like to m…
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The model has been trained on the server for a week based on data set PED2, but it has not been trained yet. Why
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I was able to train the baseline model using the following command: python train.py --dataset_type ped2
When I execute the following command:
python train.py --dataset_type ped2 --pseudo_anomaly_…
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Thanks for your work!
When training 'ped2' datasets,I find the result of loss that is really low. I don't know it's right or not.
![image](https://user-images.githubusercontent.com/50324863/78789971…
Tiacy updated
2 years ago
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the ucsd dataset have ped1 and ped2.in file paths.py
PROJ = '/media/yash_jakhotiya/Academic/ML/Anomaly_Detection'
dataset = os.path.join(PROJ, 'Dataset')
What is the structure of the data …
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Hello ,thanks for your work!
However,I didn't find the model of cGANs. And I don't know how to train the datasets?
Had you ever tried to run the code on the UCSD ped1/ped2 datasets?
Thanks for y…
Tiacy updated
4 years ago
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I use the same original dataset ped2, produce the flow, and the pretrained model, but both `eval.py` and `ml_memAE_sc_eval.py` output AUC=0.5, I'm confused.
I debug the code, saw that a variable `fr…
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Training ped2 with the default Settings got an error
![H{S$@D$A7J{J_ 8`1R79B](https://user-images.githubusercontent.com/52403668/203311333-87373593-776b-4f52-a17f-a349159bb219.png)
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Thanks for your exdrodinary works. I am studying your paper and code but meet some trouble. As I known the shanghaitech dataset has 330 videos which means the dataset preparation is like:
ped2
├── t…