batch_size = coors[-1, 0].item() + 1 IndexError: index -1 is out of bounds for dimension 0 with size 0 pointpillars

[martinteh]

Checklist

• [X] I have searched for similar issues.
• [X] I have tested with the latest development wheel.
• [X] I have checked the release documentation and the latest documentation (for master branch).

My Question

points: [tensor([[-54.6733, -35.9321, 65.5350, 0.5000], [-54.5223, -35.9321, 65.5350, 0.5000], [-54.3713, -35.9321, 65.5350, 0.5000], ..., [ 3.0787, 1.8103, 3.2590, 0.5000], [ 3.0786, 1.8058, 3.2510, 0.5000], [ 3.0785, 1.8014, 3.2430, 0.5000]], device='cuda:0')] voxels: tensor([], device='cuda:0', size=(0, 32, 4)) numpts: tensor([], device='cuda:0', dtype=torch.int64) coors: tensor([], device='cuda:0', size=(0, 4), dtype=torch.int32) 50%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 1/2 [00:01<00:01, 1.05s/it] Traceback (most recent call last): File "detection_torch.py", line 138, in result = pipeline.run_inference(data)[0] File "/home/lnt/miniconda3/envs/open3d/lib/python3.7/site-packages/open3d/_ml3d/torch/pipelines/object_detection.py", line 72, in run_inference results = model(data) File "/home/lnt/miniconda3/envs/open3d/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "/home/lnt/miniconda3/envs/open3d/lib/python3.7/site-packages/open3d/_ml3d/torch/models/point_pillars.py", line 137, in forward x = self.extract_feats(inputs) File "/home/lnt/miniconda3/envs/open3d/lib/python3.7/site-packages/open3d/_ml3d/torch/models/point_pillars.py", line 111, in extract_feats batch_size = coors[-1, 0].item() + 1 IndexError: index -1 is out of bounds for dimension 0 with size 0

Struggling to get this working with my own pcd file data (RealSense D455) I tried changing the voxel range but that didn't work either. I can't seem to get voxel or coors results.

Seems to work with other example pcd data.