[Bug] 'KeypointPartitionMetric' could't function properly

Prerequisite

[X] I have searched Issues and Discussions but cannot get the expected help.
[X] The bug has not been fixed in the latest version(https://github.com/open-mmlab/mmpose).

Environment

OrderedDict([('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', 'NVIDIA GeForce RTX 4090'), ('CUDA_HOME', '/usr/local/cuda-12.1'), ('NVCC', 'Cuda compilation tools, release 12.1, V12.1.66'), ('GCC', 'gcc (GCC) 12.1.0'), ('PyTorch', '2.1.0+cu121'), ('PyTorch compiling details', 'PyTorch built with:\n - GCC 9.3\n - C++ Version: 201703\n - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4)\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 12.1\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 8.9.2\n - Magma 2.6.1\n - 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, \n'), ('TorchVision', '0.16.0+cu121'), ('OpenCV', '4.9.0'), ('MMEngine', '0.10.3'), ('MMPose', '1.3.1+')])

mmcv 2.1.0 mmdet 3.3.0 /data2/zhang/mmdetection mmengine 0.10.3 mmpose 1.3.1 /data2/zhang/mmpose

Reproduces the problem - code sample

val_evaluator = dict(type='KeypointPartitionMetric',
                     metric=dict(type='CocoMetric',),
                     partitions=dict(face=range(5),
                         all=range(16),
                         ))

Reproduces the problem - command or script

python ./tools/train.py projects/sub_dekr/configs/dekr_hrnet-w32_8xb10-140e_coco-512x512.py

Reproduces the problem - error message

File "/data2/zhang/mmpose/tools/train.py", line 162, in <module>
    main()
  File "/data2/zhang/mmpose/tools/train.py", line 158, in main
    runner.train()
  File "/home/zhang/miniconda3/envs/transpose/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1777, in train
    model = self.train_loop.run()  # type: ignore
  File "/home/zhang/miniconda3/envs/transpose/lib/python3.8/site-packages/mmengine/runner/loops.py", line 102, in run
    self.runner.val_loop.run()
  File "/home/zhang/miniconda3/envs/transpose/lib/python3.8/site-packages/mmengine/runner/loops.py", line 374, in run
    metrics = self.evaluator.evaluate(len(self.dataloader.dataset))
  File "/home/zhang/miniconda3/envs/transpose/lib/python3.8/site-packages/mmengine/evaluator/evaluator.py", line 79, in evaluate
    _results = metric.evaluate(size)
  File "/data2/zhang/mmpose/mmpose/evaluation/metrics/keypoint_partition_metric.py", line 198, in evaluate
    _eval_results = metric.evaluate(size)
  File "/home/zhang/miniconda3/envs/transpose/lib/python3.8/site-packages/mmengine/evaluator/metric.py", line 133, in evaluate
    _metrics = self.compute_metrics(results)  # type: ignore
  File "/data2/zhang/mmpose/mmpose/evaluation/metrics/coco_metric.py", line 499, in compute_metrics
    info_str = self._do_python_keypoint_eval(outfile_prefix)
  File "/data2/zhang/mmpose/mmpose/evaluation/metrics/coco_metric.py", line 566, in _do_python_keypoint_eval
    coco_eval.evaluate()
  File "/home/zhang/miniconda3/envs/transpose/lib/python3.8/site-packages/xtcocotools/cocoeval.py", line 257, in evaluate
    self.ious = {(imgId, catId): computeIoU(imgId, catId) \
  File "/home/zhang/miniconda3/envs/transpose/lib/python3.8/site-packages/xtcocotools/cocoeval.py", line 257, in <dictcomp>
    self.ious = {(imgId, catId): computeIoU(imgId, catId) \
  File "/home/zhang/miniconda3/envs/transpose/lib/python3.8/site-packages/xtcocotools/cocoeval.py", line 373, in computeOks
    dx = xd - xg
ValueError: operands could not be broadcast together with shapes (5,) (17,)

Additional information

I tried to use the 'KeypointPartitionMetric' in DEKR on COCO dataset (with config dekr_hrnet-w32_8xb10-140e_coco-512x512.py), the program keep report Error: 'ValueError: operands could not be broadcast together with shapes (5,) (17,)', in which 17 is the number of keypoints in COCO and 5 is the length for the first partition 'face'.

open-mmlab / mmpose