Introduction

• The code for our ACDNet

How to get the data:

• Download the pre-processed datasets that we used from the link (password: dg1a) and unzip them to ./datasets folders.

Dependencies

• Python 3.6

• PyTorch 1.6.0

• yacs

• apex

How to use：

• Path: Replace _C.DATA.ROOT and _C.OUTPUT in configs/default_img.py&default_vid.pywith your own data path and output path, respectively.

• Training: For dataset_name dataset: python -m torch.distributed.launch --nproc_per_node=2 --master_port 12345 main.py --dataset dataset_name --cfg configs/res50_cels_cal.yaml --gpu 0,1 --spr 0 --sacr 0.05 --rr 1.0

Arithmetic Support

• The model is trained on two RTX 4090 GPUs