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Hi, I am trying to benchmark lamar pipeline on CAB dataset using different feature extractors and matchers. However, I haven't found a way to do benchmarking with dense matching models like ROMA or LOFTR. I found LOFTR based implementation on dense_matching.py and pose_estimation.py but no documentation on how to use it. May I have some guidance on how to use it?
The text was updated successfully, but these errors were encountered:
Hi, I am trying to benchmark lamar pipeline on
CAB
dataset using different feature extractors and matchers. However, I haven't found a way to do benchmarking with dense matching models like ROMA or LOFTR. I found LOFTR based implementation ondense_matching.py
andpose_estimation.py
but no documentation on how to use it. May I have some guidance on how to use it?The text was updated successfully, but these errors were encountered: