location of DDQ-DETR models is incorrect in output of get_model_info

[picagrad]

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Checklist

1. I have searched related issues but cannot get the expected help.
2. I have read the FAQ documentation but cannot get the expected help.
3. The bug has not been fixed in the latest version.

Describe the bug
When attempting to downloading the config and checkpoint for DDQ-DETR models of the mmdet package a value error is raised saying the path to the config file does not exist. Upon further examination this is due to a mistake in the path.
The return config path from get_model_info for ddq-detr-5scale_r50_8xb2-12e_coco is configs/dino/ddq-detr-5scale_r50_8xb2-12e_coco.py but the correct path should be configs/ddq/ddq-detr-5scale_r50_8xb2-12e_coco.py
Same error occurs with other variants of DDQ-DETR.

Reproduction

1. What command or script did you run?
   To replicate the bug:

from mim.utils import DEFAULT_CACHE_DIR 
from mim import download
checkpoint_name = download('mmdet', ['ddq-detr-5scale_r50_8xb2-12e_coco'], dest_root = DEFAULT_CACHE_DIR )

To show the source of the bug:

from mim.commans.search import get_model_info
model_info = get_model_info('mmdet', shown_fields=['weight', 'config'], to_dict=True)
model_info['ddq-detr-5scale_r50_8xb2-12e_coco']

2. Did you make any modifications on the code or config? Did you understand what you have modified? No modifications
3. What dataset did you use? No dataset yet

Environment

1. Please run python mmdet/utils/collect_env.py to collect necessary environment information and paste it here.
2. You may add addition that may be helpful for locating the problem, such as
   • How you installed PyTorch [e.g., pip, conda, source]
   • Other environment variables that may be related (such as $PATH, $LD_LIBRARY_PATH, $PYTHONPATH, etc.)

OrderedDict([('sys.platform', 'linux'), ('Python', '3.10.6 (main, Jun 25 2024, 15:28:38) [GCC 9.4.0]'), ('CUDA available', True), ('MUSA available', False), ('numpy_random_seed', 2147483648), ('GPU 0', 'NVIDIA GeForce RTX 3080 Ti'), ('CUDA_HOME', '/usr/local/cuda'), ('NVCC', 'Cuda compilation tools, release 11.7, V11.7.99'), ('GCC', 'gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0'), ('PyTorch', '1.13.1+cu117'), ('PyTorch compiling details', 'PyTorch built with:\n  - GCC 9.3\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 v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)\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 11.7\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 8.5\n  - Magma 2.6.1\n  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -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_VERSION=1.13.1, 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, USE_ROCM=OFF, \n'), ('TorchVision', '0.14.1+cu117'), ('OpenCV', '4.10.0'), ('MMEngine', '0.10.4'), ('MMDetection', '3.3.0+9575cef')])

Error traceback
Here is an example printout:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[33], [line 8](vscode-notebook-cell:?execution_count=33&line=8)
      [6](vscode-notebook-cell:?execution_count=33&line=6) model_info_final['config'] = model_info_final['config'].replace('dino','ddq')
      [7](vscode-notebook-cell:?execution_count=33&line=7) print(model_info_final)
----> [8](vscode-notebook-cell:?execution_count=33&line=8) checkpoint_name = download('mmdet',model_type, dest_root = DEFAULT_CACHE_DIR )[0]

File /local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:107, in download(package, configs, dest_root, check_certificate, dataset)
    [104](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:104)     raise ValueError('Please specify config or dataset to download!')
    [106](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:106) if configs is not None:
--> [107](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:107)     return _download_configs(package, configs, dest_root,
    [108](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:108)                              check_certificate)
    [109](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:109) else:
    [110](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:110)     return _download_dataset(package, dataset, dest_root)

File /local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:188, in _download_configs(package, configs, dest_root, check_certificate)
    [186](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:186)                 break
    [187](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:187)         else:
--> [188](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:188)             raise ValueError(
    [189](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:189)                 highlighted_error(f'{config_path} is not found.'))
    [191](https://vscode-remote+tunnel-002bensc-002dmcl-002d42.vscode-resource.vscode-cdn.net/local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mim/commands/download.py:191) return checkpoints

ValueError: /local-scratch/localhome/aharell/CFM-Task-Models/.venv/lib/python3.10/site-packages/mmdet/configs/dino/ddq-detr-5scale_r50_8xb2-12e_coco.py is not found.

Bug fix
See above for corrected path that should solve the bug