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Learned partition for vkitti #179
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For some version of cuda the training can crash. This us an issue with cuda and not the code. If you have 12gb of gout tamoxifen you should be gold. Otherwise decrease the batch size. Either way you can resume the training where it crashed with the Wait for the training to end before running |
Hi Loic, |
Hi~ @yaping222 @loicland Sorry to bother you. |
@yaping222 I assume the error is because |
@kxhit vkitti3d is quite a small dataset, I am sure 32GB is more than anough? Which .npy are your eferring to? |
@loicland Ops! I used the v2 version of vkitti3d and now I find that v1 version should be used. The size of v1 version is only 971.7M, making me ignore it by mistake. The v2 version needs to be processed by this code which consumes a lot of memory. |
Hi Loic,
Thank you very much for your great codes.
I met two issues in over-segmentation of vkitti.
I run the following code:
for FOLD in 1 2 3 4 5 6; do
python ./supervized_partition/supervized_partition.py --ROOT_PATH /media/yp/yaping/data/vkitti3d --dataset vkitti
--epochs 50 --test_nth_epoch 10 --cvfold $FOLD --reg_strength 0.5 --spatial_emb 0.02 --batch_size 15
--global_feat exyrgb --CP_cutoff 10 --odir results_part/vkitti/best;
done;
But I got 'Killed' during the training for Fold 5 and 6. I think it is because of my limited memory. So how much memory is required to process the data?
Also, when I run:
python supervized_partition/evaluate_partition.py --dataset vkitti --cvfold 123456 --folder best
I got an error like this:
FileNotFoundError: [Errno 2] No such file or directory: './results_partition/vkitti/best/results.txt'
What are the expected results from 'supervized_partition.py'?
I'm a little bit confused on how to implement learned partition could you give more explanation?
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