Comments (4)
Pre-trained weights of lite-flownet is used. The code is also from github but I forgot which project I use.
from anomaly_prediction.
Do you use the same lite-flownet weight as this (https://github.com/fjchange/pytorch_ano_pre) project?
from anomaly_prediction.
I borrowed some code from that project. I don't know whether I used the same weight. There are several weights from a pytorch liteflownet project. I tested them all, and the results are almost same.
from anomaly_prediction.
I just saw that lite-flownet has a lot of weights, and I don’t know which one is better. Since you have tested it and the effect is almost the same, i don’t need to think about it. Thank you very much!
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Related Issues (20)
- Other datasets HOT 3
- train.py HOT 6
- Other dataset HOT 4
- When I run python train.py --dataset=avenue,The following problems arise HOT 8
- changes in optical stream and generator network HOT 1
- About AUC HOT 4
- about 'weights' folder
- About the version of python pytorch cuda HOT 7
- segmentation fault (core dumped) error? HOT 2
- about shanghaitech dataset HOT 3
- About testing code
- How to output the abnormal frame? HOT 4
- Evaluation incorrect? HOT 3
- Regarding Channel information when loading video
- Can you share at approximately what iteration does your model reach around 95% AUC for ped2? HOT 3
- Question for "Dataset.py" file HOT 1
- train.py HOT 4
- tensorboard --logdir=tensorboard_log/ped2_bs4
- shanghaitech data 有shanghaitech数据集的下载连接吗 HOT 3
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