Partially forked code from anet2016-cuhk-feature and caffemodel2pytorch. See also here (CUHK & ETH & SIAT Solution to ActivityNet Challenge 2016) for more details.
- RGB ResNet-200 feature
- Optical flow BN-Inception feature
- Download pretrained models:
bash models/get_reference_models.sh
- Extract feature through:
python extract_feature.py
Note: See more configurations in extract_feature.py
.