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CapsuleEndoscope / EndoSLAM

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
https://data.mendeley.com/datasets/cd2rtzm23r/1
MIT License
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Data used for training and validation in the paper #19

Open tfredrick112 opened 2 years ago

tfredrick112 commented 2 years ago

Can you please provide the exact subsets of the data that was used for training the EndoSfM learner models? I would be very grateful if you pointed me to the subsets that have been used for training and validation, and also for the trajectory plots as predicted by the Pose estimation network.

The paper states: "The training and validation dataset consist of 2039 and 509 colon images generated in the Unity simulation environ- ment, respectively." Can you please provide this subset?

Thank you.

Tokymin commented 2 years ago

I am also curious about the training and verification data because I found that these data are not included in the Endoslam provided.