Open ToTensor opened 6 months ago
Can you print the shapes of calib['K']
and rt_mat
? I think they both should be (3, 3)
, as we save them here.
Why do I fail to scan the scan dataset when running Python batchreload_scannet_data.py
can you please share the full error log?
(9,9)
I have not solved this problem at present, and the shape of both of them is 9
may you try to reshape 9 to (3, 3)?
btw did you run this script? are both matrices (3, 3) after it?
python batch_load_scannet_data.py --------------------begin 2024-02-29 19:04:14.024408 scene0000_00 Failed export scan: scene0000_00 --------------------done --------------------begin 2024-02-29 19:04:14.831180 scene0000_01 Failed export scan: scene0000_01 --------------------done This error occurred when I was processing the scannetv2 dataset
Looks like the real error is hidden by this exception. Can you please share the error trace at this line?
FileNotFoundError: [Errno 2] No such file or directory: 'scans/scene0000_00/scene0000_00.txt' ` # try: export_one_scan(scan_name, output_filename_prefix, max_num_point, label_map_file, scannet_dir, test_mode)
#except Exception:
#print(f'Failed export scan: {scan_name}')
print('-' * 20 + 'done')`
When I remove the thrown exception
Have you downloaded the scannet dataset and put it to this scans/
directory? The first item in the instruction here.
。thanks!The problem has been solved, btw. May I ask how to display the correct boxes in the visualization of the obj file
We save both gt and predictied boxes for visualization with this function. Resulting .obj
files can be opened with the meshlab together with point cloud .obj
file.
Why the gt visualized by the sunrgbd data set is slanted and does not completely wrap the real object. And pred.obj visualizes a lot of boxes, how can I show the box that is closest to gt?
To reduce the number of predicted boxes please follow our advice about score_thr
in the readme.
Gt boxes looks pretty much fine. May be you can try it on scene 000967
from SUN RGB-D, to be sure that it is the similar with gt visualization in our paper.
。thanks!The problem has been solved, btw. May I ask how to display the correct boxes in the visualization of the obj file
I am experiencing the same issue. How did you resolve it?
Traceback (most recent call last): File "tools/train.py", line 263, in
main()
File "tools/train.py", line 259, in main
meta=meta)
File "/home/ly/tr3d-main/mmdet3d/apis/train.py", line 351, in train_model
meta=meta)
File "/home/ly/tr3d-main/mmdet3d/apis/train.py", line 319, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 136, in run
epoch_runner(data_loaders[i], **kwargs)
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 49, in train
for i, data_batch in enumerate(self.data_loader):
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 521, in next
data = self._next_data()
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
return self._process_data(data)
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
data.reraise()
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/torch/_utils.py", line 434, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/ly/anaconda3/envs/tr3d-main/lib/python3.7/site-packages/mmdet/datasets/dataset_wrappers.py", line 178, in getitem
return self.dataset[idx % self._ori_len]
File "/home/ly/tr3d-main/mmdet3d/datasets/custom_3d.py", line 435, in getitem
data = self.prepare_train_data(idx)
File "/home/ly/tr3d-main/mmdet3d/datasets/custom_3d.py", line 225, in prepare_train_data
input_dict = self.get_data_info(index)
File "/home/ly/tr3d-main/mmdet3d/datasets/sunrgbd_dataset.py", line 112, in get_data_info
depth2img = calib['K'] @ rt_mat
ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 3 is different from 9)