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Description
Prerequisite
- I have searched Issues and Discussions but cannot get the expected help.
- The bug has not been fixed in the latest version(https://github.com/open-mmlab/mmpose).
Environment
python -c "from mmpose.utils import collect_env; print(collect_env())"
OrderedDict([('sys.platform', 'linux'), ('Python', '3.10.11 (main, May 16 2023, 00:28:57) [GCC 11.2.0]'), ('CUDA available', True), ('MUSA available', False), ('numpy_random_seed', np.uint32(2147483648)), ('GPU 0,1,2,3', 'NVIDIA RTX A6000'), ('CUDA_HOME', '/usr'), ('NVCC', 'Cuda compilation tools, release 12.2, V12.2.140'), ('GCC', 'gcc (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0'), ('PyTorch', '2.5.1+cu124'), ('PyTorch compiling details', 'PyTorch built with:\n - GCC 9.3\n - C++ Version: 201703\n - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 12.4\n - 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\n - CuDNN 90.1\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, 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 -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -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-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -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, TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, \n'), ('TorchVision', '0.20.1+cu124'), ('OpenCV', '4.12.0'), ('MMEngine', '0.10.7'), ('MMPose', '1.3.2+6aa0647')])
pip list | grep mm
mmcv 2.1.0
mmdet 3.2.0
mmengine 0.10.7
mmpose 1.3.2
Reproduces the problem - code sample
cfg = Config.fromfile(args.config)
Reproduces the problem - command or script
mim install mmpose
Reproduces the problem - error message
mmengine.config.utils.ConfigParsingError: /opt/anaconda3/envs/mmpose/lib/python3.10/site-packages/mmpose/configs/base/default_runtime.py not found! It means that incorrect module is defined in with read_base(): = from mmpose.configs._base_.default_runtime import ...
, please make sure the base config module is valid and is consistent with the prior import logic
Additional information
ls /opt/anaconda3/envs/mmpose/lib/python3.10/site-packages/mmpose/:
__init__.py __pycache__ apis codecs datasets engine evaluation models registry.py structures testing utils version.py visualization
no "configs" folder