RandLA-Net-pytorch
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hello,could you please provide your best result got by your code
Gentle bump on this issue. It would be really helpful to know to which extent the performance are different than the ones in the original paper ! :)
HI @LARLSN , on S3DIS dataset i will get this result and it is very differs from original one.
`=== EPOCH 99/100 === Training loss: 1.9831392 Validation loss: 680.1278906 Accuracy | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | OA Training: | 0.927 | 0.091 | 0.316 | 0.962 | 0.671 | 0.000 | 0.000 | 0.041 | 0.781 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.607 Validation: | 0.952 | 0.010 | 0.164 | 0.368 | 0.287 | 0.000 | 0.000 | 0.011 | 0.320 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.304 IoU | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | mIoU Training: | 0.764 | 0.055 | 0.081 | 0.906 | 0.466 | 0.000 | 0.000 | 0.009 | 0.218 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.322 Validation: | 0.325 | 0.008 | 0.053 | 0.300 | 0.189 | 0.000 | 0.000 | 0.007 | 0.073 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.095 Time elapsed: 3 min 50 s
=== EPOCH 100/100 === Training loss: 1.8751107 Validation loss: 17.0391586 Accuracy | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | OA Training: | 0.917 | 0.041 | 0.312 | 0.961 | 0.637 | 0.000 | 0.000 | 0.276 | 0.664 | 0.000 | 0.000 | 0.000 | 0.001 | 0.000 | 0.580 Validation: | 0.487 | 0.017 | 0.128 | 0.745 | 0.562 | 0.000 | 0.000 | 0.231 | 0.108 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.317 IoU | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | mIoU Training: | 0.764 | 0.031 | 0.075 | 0.918 | 0.468 | 0.000 | 0.000 | 0.054 | 0.186 | 0.000 | 0.000 | 0.000 | 0.001 | 0.000 | 0.310 Validation: | 0.290 | 0.013 | 0.055 | 0.346 | 0.350 | 0.000 | 0.000 | 0.045 | 0.023 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.119 Time elapsed: 3 min 51 s`
Hello, I and you encountered the same problem, excuse me, how do you finally give up?
嗨@LARLSN,在S3DIS数据集上,我会得到这个结果,它与原始结果非常不同。>> `=== EPOCH 99/100 ===培训损失:1.9831392 验证损失:680.1278906准确性 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | OA培训: | 0.927 | 0.091 | 0.316 | 0.962 | 0.671 | 0.000 | 0.000 | 0.041 | 0.781 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.607验证: | 0.952 | 0.010 | 0.164 | 0.368 | 0.287 | 0.000 | 0.000 | 0.011 | 0.320 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.304IoU | 0 | 1| 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | mIoU培训: | 0.764 | 0.055 | 0.081 | 0.906 | 0.466 | 0.000 | 0.000 | 0.009 | 0.218 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.322验证: | 0.325 | 0.008 | 0.053 | 0.300 | 0.189 | 0.000 | 0.000 | 0.007 | 0.073 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.095时间:3分50秒>> === EPOCH 100/100 ===培训损失:1.8751107 验证损失:1.0391586准确性 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | OA培训: | 0.917 | 0.041 | 0.312 | 0.961 | 0.637 | 0.000 | 0.000 | 0.276 | 0.664 | 0.000 | 0.000 | 0.000 | 0.001 | 0.000 | 0.580验证: | 0.487 | 0.017 | 0.128 | 0.745 | 0.562 | 0.000 | 0.000 | 0.231 | 0.108 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.317IoU | 0 | 1| 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | mIoU培训: | 0.764 | 0.031 | 0.075 | 0.918 | 0.468 | 0.000 | 0.000 | 0.054 | 0.186 | 0.000 | 0.000 | 0.000 | 0.001 | 0.000 | 0.310验证: | 0.290 | 0.013 | 0.055 | 0.346 | 0.350 | 0.000 | 0.000 | 0.045 | 0.023 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.119时间:351秒
哈哈,are you solved the problem? I meet the questions, too