SSDR-AL
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Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
您好! 我修改了`run_semantic3d_0.012.sh`内容为: ``` reg_strength=0.012 python -u ssdr_create_seed.py --gpu 3 --dataset semantic3d --seed_percent 0.008 --reg_strength ${reg_strength} >> record/semantic3d_ssdr_log_seed_${reg_strength}_2.txt 2>&1 # 4468 python -u ssdr_main_semantic3d.py --dataset semantic3d --reg_strength ${reg_strength} --t 4 --gpu...
Hi @shaofeifei11, excellent work! Recently, we are replicating the results of S3DIS. However, we encountered some problems, that is, the training time is particularly long, the cpu occupies a lot...
I use the default parameter settings of generating the superpoints, but the number of super points is different each time.
您好! 请问分割结果的可视化是怎么实现的呢?如果方便的话可以提供一下代码嘛。 期待您的解疑,谢谢!