when I run evaluate_SemanticKITTI.py,the output is abnormal
When running test.py, there seems to be no output
`root@in_dev_docker RandLA-Net-pytorch $ python3 evaluate_SemanticKITTI.py --dataset lidar_seg/RandLA-Net-pytorch/data/nvme1/SemanticKITTI/randla_data --predictions lidar_seg/RandLA-Net-pytorch/runs/kitti --sequence 8
when I run evaluate_SemanticKITTI.py,the output is abnormal
When running test.py, there seems to be no output `root@in_dev_docker RandLA-Net-pytorch $ python3 evaluate_SemanticKITTI.py --dataset lidar_seg/RandLA-Net-pytorch/data/nvme1/SemanticKITTI/randla_data --predictions lidar_seg/RandLA-Net-pytorch/runs/kitti --sequence 8
INTERFACE: Eval What: None Data: /home/liuzhen/lidar_seg/RandLA-Net-pytorch/data/nvme1/SemanticKITTI/randla_data Predictions: /home/liuzhen/lidar_seg/RandLA-Net-pytorch/runs/kitti Sequences: ['8'] Config: utils/semantic-kitti.yaml Limit: None
Opening data config file utils/semantic-kitti.yaml Ignoring xentropy class 0 in IoU evaluation [IOU EVAL] IGNORE: [0] [IOU EVAL] INCLUDE: [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19] Evaluating sequences 0it [00:00, ?it/s] Validation set: Acc avg 0.000 IoU avg 0.000 IoU class 1 [car] = 0.000 IoU class 2 [bicycle] = 0.000 IoU class 3 [motorcycle] = 0.000 IoU class 4 [truck] = 0.000 IoU class 5 [other-vehicle] = 0.000 IoU class 6 [person] = 0.000 IoU class 7 [bicyclist] = 0.000 IoU class 8 [motorcyclist] = 0.000 IoU class 9 [road] = 0.000 IoU class 10 [parking] = 0.000 IoU class 11 [sidewalk] = 0.000 IoU class 12 [other-ground] = 0.000 IoU class 13 [building] = 0.000 IoU class 14 [fence] = 0.000 IoU class 15 [vegetation] = 0.000 IoU class 16 [trunk] = 0.000 IoU class 17 [terrain] = 0.000 IoU class 18 [pole] = 0.000 IoU class 19 [traffic-sign] = 0.000
0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000`