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unable to do inference on test set
See original GitHub issueWhen I run python tools/dist_test_1.py /home/leo/research/Det3D/examples/point_pillars/configs/nusc_all_point_pillars_mghead_syncbn.py --work_dir ./work_dirs/ --checkpoint /home/leo/research/Det3D/checkpoint/pointpillars/latest.pth --speed_test --testset, following errors are raised
[ ] 0/6008, elapsed: 0s, ETA:Traceback (most recent call last): File “tools/dist_test_1.py”, line 211, in <module> main() File “tools/dist_test_1.py”, line 157, in main for i, data_batch in enumerate(data_loader): File “/home/leo/.conda/envs/det3d/lib/python3.7/site-packages/torch/utils/data/dataloader.py”, line 517, in next data = self._next_data() File “/home/leo/.conda/envs/det3d/lib/python3.7/site-packages/torch/utils/data/dataloader.py”, line 1199, in _next_data return self._process_data(data) File “/home/leo/.conda/envs/det3d/lib/python3.7/site-packages/torch/utils/data/dataloader.py”, line 1225, in _process_data data.reraise() File “/home/leo/.conda/envs/det3d/lib/python3.7/site-packages/torch/_utils.py”, line 429, in reraise raise self.exc_type(msg) TypeError: Caught TypeError in DataLoader worker process 0. Original Traceback (most recent call last): File “/home/leo/.conda/envs/det3d/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py”, line 202, in _worker_loop data = fetcher.fetch(index) File “/home/leo/.conda/envs/det3d/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py”, line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File “/home/leo/.conda/envs/det3d/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py”, line 44, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File “/home/leo/research/Det3D/det3d/datasets/nuscenes/nuscenes.py”, line 177, in getitem return self.get_sensor_data(idx) File “/home/leo/research/Det3D/det3d/datasets/nuscenes/nuscenes.py”, line 172, in get_sensor_data data, _ = self.pipeline(res, info) File “/home/leo/research/Det3D/det3d/datasets/pipelines/compose.py”, line 23, in call res, info = t(res, info) TypeError: cannot unpack non-iterable type object
Can anyone help me fix it ? @poodarchu @tianweiy @YoushaaMurhij
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- Created 2 years ago
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I have solved the problem by changing the loading.py of Det3D with loading.py of CenterPoint
Of course. I ran python tools/create_data.py nuscenes_data_prep --root_path /home/leo/DATA/dataset/nuscenes/trainval//v1.0-test/ --version v1.0-test, before attempting to inference on the test set. All the test using CenterPoint has no problem, but it doesn’t work on the same module of Det3D.