Hi @yangyanli
I have tried to run PointCNN on S3DIS dataset, but it just jumps this command line:
CUDA_VISIBLE_DEVICES=$gpu python3 ../train_val_seg.py -t $data_folder/train_files_for_val_on_Area_$area.txt -v $data_folder/val_files_Area_$area.txt -s $models_folder -m pointcnn_seg -x $setting > $models_folder/pointcnn_seg_$setting.txt 2>&1 &
No semantic segmentation results are output. The screen outputs are just like these.
srun -p PV100q -n 1 -w node09 ./train_val_s3dis.sh -g 2 -x s3dis_x8_2048_fps -a 1
Train/Val with setting s3dis_x8_2048_fps on GPU 2 for Area 1!
done!!!
Do you know why the ./train_val_s3dis.py is negelected? Thanks a lot.
Hi @yangyanli
I have tried to run PointCNN on S3DIS dataset, but it just jumps this command line:
CUDA_VISIBLE_DEVICES=$gpu python3 ../train_val_seg.py -t $data_folder/train_files_for_val_on_Area_$area.txt -v $data_folder/val_files_Area_$area.txt -s $models_folder -m pointcnn_seg -x $setting > $models_folder/pointcnn_seg_$setting.txt 2>&1 &
No semantic segmentation results are output. The screen outputs are just like these.
srun -p PV100q -n 1 -w node09 ./train_val_s3dis.sh -g 2 -x s3dis_x8_2048_fps -a 1
Train/Val with setting s3dis_x8_2048_fps on GPU 2 for Area 1!
done!!!
Do you know why the ./train_val_s3dis.py is negelected? Thanks a lot.