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qianyizh avatar qianyizh commented on May 3, 2024

We should also show case a complete tutorial starting from downloading one of the TUM sequences, then ran odometry, then evaluating. In general, what we did in our paper.

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syncle avatar syncle commented on May 3, 2024

We have better OpenMP support from the discussion of #52, but when the enhanced OpenMP code applied to RGBDOdometryJacobian, the performance gain is still not as drastic as #52. I think maybe due to extensive random correspondence search and memory reference.
One way to boost is reducing the number of correspondences: not searching correspondences for every pixels, maybe for every two pixels. This will boost 4x at least.

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syncle avatar syncle commented on May 3, 2024

We have better OpenMP support from the discussion of #52, but when the enhanced OpenMP code applied to RGBDOdometryJacobian, the performance gain is still not as drastic as #52. I think maybe due to extensive random correspondence search and memory reference.

Fixed. See #52 and #53.

One way to boost is reducing the number of correspondences: not searching correspondences for every pixels, maybe for every two pixels. This will boost 4x at least.

Offline discussed, but making tutorial has higher priority for now.

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qianyizh avatar qianyizh commented on May 3, 2024

Done. Close.

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