Error while training imvotenet with sunrgbd dataset

n-martini commented 1 year ago

Prerequisite

[X] I have searched Issues and Discussions but cannot get the expected help.
[X] I have read the FAQ documentation but cannot get the expected help.
[X] The bug has not been fixed in the latest version (dev-1.x) or latest version (dev-1.0).

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

sys.platform: linux Python: 3.8.18 | packaged by conda-forge | (default, Oct 10 2023, 15:44:36) [GCC 12.3.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0: NVIDIA GeForce RTX 3080 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.8, V11.8.89 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 2.0.1+cu118 PyTorch compiling details: PyTorch built with:

GCC 9.3
C++ Version: 201703
Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e)
OpenMP 201511 (a.k.a. OpenMP 4.5)
LAPACK is enabled (usually provided by MKL)
NNPACK is enabled
CPU capability usage: AVX2
CUDA Runtime 11.8
NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90
CuDNN 8.7
Magma 2.6.1
Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.15.2+cu118 OpenCV: 4.8.0 MMEngine: 0.9.0 MMDetection: 3.1.0 MMDetection3D: 1.2.0+b0e8ece spconv2.0: False

Reproduces the problem - code sample

python tools/train.py {CONFIG_FILE} --work-dir {WORK_DIR}

Reproduces the problem - command or script

CONFIG_FILE = '/home/nm/Documents/3d/mmdetection3d/configs/imvotenet/imvotenet_faster-rcnn-r50_fpn_4xb2_sunrgbd-3d.py' WORK_DIR = '/home/nm/Documents/3d/mmdetection3d/work_dir/checkpoints'

Reproduces the problem - error message

File "tools/train.py", line 135, in main() File "tools/train.py", line 131, in main runner.train() File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1777, in train model = self.train_loop.run() # type: ignore File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/runner/loops.py", line 96, in run self.run_epoch() File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/runner/loops.py", line 111, in run_epoch for idx, data_batch in enumerate(self.dataloader): File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 633, in next data = self._next_data() File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1345, in _next_data return self._process_data(data) File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1371, in _process_data data.reraise() File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/_utils.py", line 644, in reraise raise exception KeyError: Caught KeyError in DataLoader worker process 1. Original Traceback (most recent call last): File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop data = fetcher.fetch(index) File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 51, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/dataset/dataset_wrapper.py", line 289, in getitem return self.dataset[sample_idx] File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 410, in getitem data = self.prepare_data(idx) File "/home/nm/Documents/3d/mmdetection3d/mmdet3d/datasets/det3d_dataset.py", line 386, in prepare_data example = self.pipeline(input_dict) File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 60, in call data = t(data) File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmcv/transforms/base.py", line 12, in call return self.transform(results) File "/home/nm/Documents/3d/mmdetection3d/mmdet3d/datasets/transforms/loading.py", line 1057, in transform results = super().transform(results) File "/home/nm/anaconda3/envs/openmmlab/lib/python3.8/site-packages/mmdet/datasets/transforms/loading.py", line 443, in transform self._load_bboxes(results) File "/home/nm/Documents/3d/mmdetection3d/mmdet3d/datasets/transforms/loading.py", line 1033, in _load_bboxes results['gt_bboxes'] = results['ann_info']['gt_bboxes'] KeyError: 'gt_bboxes'