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Performance gap while reproducing the outdoor evaluation on YFCC #139
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System: |
From the README:
You are welcome to investigate which parts of the implementation cause the discrepancy. |
Thank you for releasing the official implementation, especially the evaluation code.
I'm trying to reproduce the pose estimation results in your original paper on YFCC (i.e. 38.72, 59.13, 75.81) with the outdoor model (download with the provided link) by running:
./match_pairs.py --input_dir ~/YFCC100M/yfcc100m --input_pairs assets/yfcc_test_pairs_with_gt_original.txt --output_dir dump_yfcc_test_results --eval --resize 1600 --superglue outdoor --max_keypoints 2048 --nms_radius 3 --resize_float
Uncorrected EXIF rotation data is used as "The SuperGlue paper reports the results of SuperGlue without the corrected rotations". But I got only 38.06, 58.38, 74.67, which seems a big gap from the reported. How can I eliminate this disparity?
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