JinsooPark

Hi! Can I get advice about training on a custom dataset? I think this repository doesn't support training on a custom dataset directly. I need to implement original netVLAD with...

``` 3) Extract global features (we will use AP-GeM here) cd ${WORKING_DIR}/deep-image-retrieval ${PYTHONBIN} -m dirtorch.extract_kapture --kapture-root ${WORKING_DIR}/${DATASET}/map_plus_test/ --checkpoint dirtorch/data/Resnet101-AP-GeM-LM18.pt --gpu 0 1 2 3 mkdir -p ${WORKING_DIR}/${DATASET}/global_features/Resnet101-AP-GeM-LM18/global_features mv ${WORKING_DIR}/${DATASET}/map_plus_test/reconstruction/global_features/Resnet101-AP-GeM-LM18/* ${WORKING_DIR}/${DATASET}/global_features/Resnet101-AP-GeM-LM18/global_features/...

Thanks. I'll check it!