Evaluation of local features

As described in our paper, we evaluate several local feature detectors and descriptors on two dataset, HPatches and SfM, following standard metrics for matching and pose estimation.

Exporting the predictions

python3 hfnet/export_predictions.py \
	hfnet/configs/hfnet_export_[hfnet|superpoint|lfnet|doap]_[hpatches|sfm].yaml \
	[hfnet|superpoint|lfnet|doap]/predictions_[hpatches|sfm] \

This will export .npz files in $EXPER_PATH/[hfnet|superpoint|lfnet|doap]/predictions_[hpatches|sfm]/.

Visualizing the predictions

Head over to notebooks/visualize_[keypoints|matches]_[hpatches|sfm].ipynb. The names of the experiments might need to be adjusted.

Running the evaluation

Head over to notebooks/evaluation_[detectors|descriptors]_[hpatches|sfm].ipynb.