MSN-Point-Cloud-Completion
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Time for computing EMD
Thanks for your nice implementation.
I was very confused by the running time for computing EMD. When eps = 0.05, k = 1000, I got the following results. The size of input is (32, 16834, 3).
- for the test_emd(), two sets of point cloud are generated randomly. Runtime is 3.57s and EMD is 0.037.
- however, when computing the distance between real lidar point cloud and biased real lidar point cloud, runtime is 47s and EMD is 0.182. The input pc has been normalized to [0, 1].
The runtime is much longer with real data and could you please explain the difference?
Would you mind providing a pair of point clouds for me to look into the details?
Would you mind providing a pair of point clouds for me to look into the details?
Hello, can you please reply on https://github.com/Colin97/MSN-Point-Cloud-Completion/issues/6
runtime is 47s for point cloud which size is (32, 16834, 3) it's same with me
I think you may try a smaller k.
Could you provide the example point clouds for me to take a look?