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open-mmlab / mmengine

OpenMMLab Foundational Library for Training Deep Learning Models
https://mmengine.readthedocs.io/
Apache License 2.0
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[Bug] KeyError: 'SentryFishVideo3Dataset is not in the __main__::datasets registry. Please check whether the value of `SentryFishVideo3Dataset` 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' #1556

Open seamoonlight-YBY opened 3 months ago

seamoonlight-YBY commented 3 months ago

Prerequisite

Environment

OrderedDict([('sys.platform', 'linux'), ('Python', '3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]'), ('CUDA available', True), ('MUSA available', False), ('numpy_random_seed', 2147483648), ('GPU 0,1,2,3,4,5,6,7', 'NVIDIA GeForce RTX 3090'), ('CUDA_HOME', '/usr/local/cuda'), ('NVCC', 'Cuda compilation tools, release 11.8, V11.8.89'), ('GCC', 'gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0'), ('PyTorch', '1.8.1+cu111'), ('PyTorch compiling details', 'PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.1\n - 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\n - CuDNN 8.0.5\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -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 -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.8.1, 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=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n'), ('TorchVision', '0.9.1+cu111'), ('OpenCV', '4.1.2'), ('MMEngine', '0.10.4')])

Reproduces the problem - code sample

我想测试一下新加的dataset是否能正常工作，首先我新建了mmsegmentation/mmseg/datasets/sentry_fish.py， from mmengine.registry import DATASETS from torch.utils.data import Dataset @DATASETS.register_module() class SentryFishVideo3Dataset(Dataset): def __init__(self, opt, train): super().__init__(opt, train) 然后我把这个类加入了mmsegmentation/mmseg/datasets/init.py image

Reproduces the problem - command or script

为了测试新建数据集是否正常，我在新建一个mmsegmentation/demo/test.py，内容为 image

Reproduces the problem - error message

KeyError: 'SentryFishVideo3Dataset is not in the main::datasets registry. Please check whether the value of SentryFishVideo3Dataset 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

我记得在mmcv 1.0仅需要在类开头 @Registry_model ,并在init.py中import就可以了，但是我不熟悉2.0，请告诉我是数据集定义的问题，还是测试脚本的问题？ 非常感谢