[Bug] 'CocoDataset is not in the mmdet3d::dataset registry.

[jiangxb98]

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

1.x branch https://github.com/open-mmlab/mmdetection3d/tree/dev-1.x

Environment

sys.platform: linux Python: 3.8.19 (default, Mar 20 2024, 19:58:24) [GCC 11.2.0] CUDA available: True MUSA available: False numpy_random_seed: 2147483648 GPU 0,1,2,3,4,5,6,7: Tesla V100-PCIE-32GB CUDA_HOME: /usr/local/cuda-12 NVCC: Cuda compilation tools, release 12.0, V12.0.76 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 2.1.0+cu121 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 v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• LAPACK is enabled (usually provided by MKL)
• NNPACK is enabled
• CPU capability usage: AVX512
• CUDA Runtime 12.1
• NVCC architecture flags: -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 8.9.2
• Magma 2.6.1
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -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 -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -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=2.1.0, 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: 0.16.0+cu121 OpenCV: 4.9.0 MMEngine: 0.10.4 MMDetection: 3.3.0 MMDetection3D: 1.4.0+962f093 spconv2.0: False

Reproduces the problem - code sample

from mmdet.apis import inference_detector, init_detector

model = init_detector('configs/nuimages/htc_r50_fpn_coco-20e-1x_nuim.py', device='cuda:0', checkpoint='model_pth/htc_r50_fpn_coco-20e_20e_nuim_20201008_211415-d6c60a2c.pth')

Reproduces the problem - command or script

from mmdet.apis import inference_detector, init_detector

model = init_detector('configs/nuimages/htc_r50_fpn_coco-20e-1x_nuim.py', device='cuda:0', checkpoint='model_pth/htc_r50_fpn_coco-20e_20e_nuim_20201008_211415-d6c60a2c.pth')

Reproduces the problem - error message

KeyError: 'CocoDataset is not in the mmdet3d::dataset registry. Please check whether the value of CocoDataset is correct or it was registered as expected. More details can be found at https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#import-the-custom-module'

Additional information

No response

[jiangxb98]

Note: I have add the test_dataloader for the nuim-instance.py, if not add this, will error: File "/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/config/config.py", line 113, in getattr raise AttributeError(f"'{self.class.name}' object has no " AttributeError: 'ConfigDict' object has no attribute 'test_dataloader'

[VeeranajenyuluT]

May be i misunderstood but looks like for cocodataset, you should refer to mmdetection not mmdetection3D. Check here https://github.com/open-mmlab/mmdetection/blob/main/mmdet/datasets/coco.py. I believe cocodataset is 2D detection not for 3D, is not it?