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(Video) Feature Extraction Code for Visual Abductive Reasoning

Partially forked code from anet2016-cuhk-feature and caffemodel2pytorch. See also here (CUHK & ETH & SIAT Solution to ActivityNet Challenge 2016) for more details.

Feature extraction

  • RGB ResNet-200 feature
  • Optical flow BN-Inception feature

Brief instruction

  1. Download pretrained models:
bash models/get_reference_models.sh
  1. Extract feature through:
python extract_feature.py 

Note: See more configurations in extract_feature.py.