#What is it?

• This is the code for A Deformable L-Unet-3D Based Video Anomaly Detection of High Sensitivity

#Biuld

• 1 Cd to code/dcn.
• 2 For Windows users, run cmd make.bat. For Linux users, run bash make.sh. The scripts will build packages automatically and create some folders.
• 3 See test.py for example usage.

#Dataset

• Download the ped2 dataset and the avenue dataset at Ped2 and Avenue
• Set the config in train.py

#Train

• Run train.py

#Test

• Run evaluate.py

#Trained weights

• Our trained weights for Ped2 and Avenue which get 97.9% and 86.0% will released when the paper online.