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Requirements

torch = 1.7.1+cu110 python = 3.8.13

Some basic python packages such as ninja yacs cython matplotlib tqdm OpenCV scipy ......

Inference Speed

Backbone: Resnet-101

No. of GPUs mAP FPS
1 82.45% 3.51
4 82.45% 9.21

Backbone: Resnet-50

No. of GPUs mAP FPS
1 81.28% 4.46
4 81.28% 14.10

Usage

Train the model

python -m torch.distributed.launch --nproc_per_node=1 tools/train_net.py --master_port=$((RANDOM + 10000)) --config-file configs/AFGN/vid_Res_101_C4_AFGN_1x.yaml OUTPUT_DIR training_dir/AFGN

Test the model

Then run python -m torch.distributed.launch --nproc_per_node=1 tools/test_net.py --config-file configs/AFGN/vid_Res_101_C4_AFGN_1x.yaml MODEL.WEIGHT AFGN_R_101.pth

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