EHoI: A Benchmark for Task-oriented Hand-Object Interaction Recognition Using Event Camera

Datasets

It is stored in Onedriver https://onedrive.live.com/?authkey=%21AOQ3qRCQh8A32hQ&id=392AC0752D520BEF%2110229&cid=392AC0752D520BEF

cd spikingjelly_pkg/spikingjelly/activation_based/examples folder, Adjust the model type by change run net parameters, run python -m spikingjelly.activation_based.examples.classify_hand_object -T 16 -device cuda:0 -b 2 -epochs 100 -data-dir /media/wchen/linHDD/wchen/hand_object/ -amp -cupy -opt adam -lr 0.001 -j 12
Or cd src folder, run .evaluate.sh

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
figures		figures
spikingjelly_pkg		spikingjelly_pkg
src		src
README.md		README.md