with torch.no_grad():
results = model.test_step(collate_data)
is_occupancy = ('pred_occupancy' in results[0])
if is_occupancy:
classes = ['empty'] + classes # 0 = empty for occupancy
filtered_results = []
if not is_occupancy:
for i in range(len(results)):
boxes, labels = nms_filter(results[i].pred_instances_3d)
filtered_results.append((boxes, labels))
Traceback (most recent call last):
File "demo.py", line 288, in
main(args)
File "demo.py", line 219, in main
boxes, labels = nms_filter(results[i].pred_instances_3d)
File "demo.py", line 105, in nms_filter
iou = boxes.overlaps(boxes, boxes, eps=1e-5)
File "/home/iro/EmbodiedScan/embodiedscan/structures/bbox_3d/eulerbox3d.py", line 134, in overlaps
, iou3d = box3d_overlap(corners1, corners2, eps=eps)
File "/home/iro/.conda/envs/embodiedscan/lib/python3.8/site-packages/pytorch3d/ops/iou_box3d.py", line 161, in box3d_overlap
_check_nonzero(boxes1, eps)
File "/home/iro/.conda/envs/embodiedscan/lib/python3.8/site-packages/pytorch3d/ops/iou_box3d.py", line 87, in _check_nonzero
raise ValueError(msg)
ValueError: Planes have zero areas
Additional information
mv-det3d is available, but the results from different scenarios are integrated into one image.
mxh1999
commented
2 weeks ago
Prerequisite
Task
I'm using the official example scripts/configs for the officially supported tasks/models/datasets.
Branch
main branch https://github.com/open-mmlab/mmdetection3d
Environment
pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio==0.10.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html
Reproduces the problem - code sample
with torch.no_grad(): results = model.test_step(collate_data)
is_occupancy = ('pred_occupancy' in results[0]) if is_occupancy: classes = ['empty'] + classes # 0 = empty for occupancy
filtered_results = [] if not is_occupancy: for i in range(len(results)): boxes, labels = nms_filter(results[i].pred_instances_3d) filtered_results.append((boxes, labels))
Reproduces the problem - command or script
python3 demo.py ../configs/detection/cont-det3d_8xb1_embodiedscan-3d-284class-9dof.py ../models/cont-3ddet.pth --root-dir openscan --scene office --device cuda:0
Reproduces the problem - error message
Traceback (most recent call last): File "demo.py", line 288, in
main(args)
File "demo.py", line 219, in main
boxes, labels = nms_filter(results[i].pred_instances_3d)
File "demo.py", line 105, in nms_filter
iou = boxes.overlaps(boxes, boxes, eps=1e-5)
File "/home/iro/EmbodiedScan/embodiedscan/structures/bbox_3d/eulerbox3d.py", line 134, in overlaps
, iou3d = box3d_overlap(corners1, corners2, eps=eps)
File "/home/iro/.conda/envs/embodiedscan/lib/python3.8/site-packages/pytorch3d/ops/iou_box3d.py", line 161, in box3d_overlap
_check_nonzero(boxes1, eps)
File "/home/iro/.conda/envs/embodiedscan/lib/python3.8/site-packages/pytorch3d/ops/iou_box3d.py", line 87, in _check_nonzero
raise ValueError(msg)
ValueError: Planes have zero areas
Additional information
mv-det3d is available, but the results from different scenarios are integrated into one image.