Error in Hungarian: matrix contains invalid numeric entries

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I am training a dental pointcloud dataset that has already been tested on ASIS with quite good results, but now testing on 3D-BoNet and having used the recommended h5 files generation script the algorithm crashes after few iterations:

  File "/home/ubuntu/3D-BoNet/helper_net.py", line 120, in assign_mappings_valid_only
    row_ind, col_ind=linear_sum_assignment(valid_cost)

  File "/home/ubuntu/miniconda3/envs/tf_gpu114_p36_source/lib/python3.6/site-packages/scipy/optimize/_hungarian.py", line 93, in linear_sum_assignment
    raise ValueError("matrix contains invalid numeric entries")

ValueError: matrix contains invalid numeric entries

Have you any idea for why could this be happening? A feature of the dataset is that each block has very few instances, and that every mandible (room) has an instance present in all blocks (mouth gum).

Issue Analytics

State:
Created 4 years ago
Comments:6 (2 by maintainers)

Top GitHub Comments

1reaction

HiphonLcommented, Jul 30, 2020

Hi, I ran into the same problem and the reason is that I normalized blocks into [-1, 1], which may cause the sum of gt-bbox to be less than 0. So, when all gt-bbox in the same batch of samples are less than 0, bbox_loss_l2_pos will be illegally divided by 0, i.e., tf.reduce_sum(Y_bbox_helper) is equal to 0. The solution can be found in #25 .

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QingWindIsStillTheWindcommented, Nov 30, 2021

Hi, I ran into the same problem and the reason is that I normalized blocks into [-1, 1], which may cause the sum of gt-bbox to be less than 0. So, when all gt-bbox in the same batch of samples are less than 0, bbox_loss_l2_pos will be illegally divided by 0, i.e., tf.reduce_sum(Y_bbox_helper) is equal to 0. The solution can be found in #25 .

Hi @HiphonL I used your solution and added an abs operation for s3dis dataset. However it resulted in the same error.

请问您解决这个问题了吗