yolov7_to_mmyolo.py error

[chuong98]

Prerequisite

• [X] I have searched the existing and past issues 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.

🐞 Describe the bug

I tested the command: tools/model_converters/yolov7_to_mmyolo.py on Yolov7-w6. It ran successfully up to layer 117, then throw the following error:

Convert model.117.conv.weight to bbox_head.head_module.main_convs_pred.3.0.conv.weight
Convert model.117.bn.weight to bbox_head.head_module.main_convs_pred.3.0.bn.weight
Convert model.117.bn.bias to bbox_head.head_module.main_convs_pred.3.0.bn.bias
Convert model.117.bn.running_mean to bbox_head.head_module.main_convs_pred.3.0.bn.running_mean
Convert model.117.bn.running_var to bbox_head.head_module.main_convs_pred.3.0.bn.running_var
Convert model.117.bn.num_batches_tracked to bbox_head.head_module.main_convs_pred.3.0.bn.num_batches_tracked
Traceback (most recent call last):
  File "/root/workspace/yolov7/yolov7_to_mmyolo.py", line 1093, in <module>
    main()
  File "/root/workspace/yolov7/yolov7_to_mmyolo.py", line 1085, in main
    convert(args.src, args.dst)
  File "/root/workspace/yolov7/yolov7_to_mmyolo.py", line 1051, in convert
    convert_dict['.'.join(strs_key)])
KeyError: 'model.118.conv.weight'

Environment

sys.platform: linux Python: 3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0,1,2,3: Quadro RTX 8000 CUDA_HOME: /usr/local/cuda-11.8/ GCC: gcc (Ubuntu 11.3.0-1ubuntu1~22.04.1) 11.3.0 PyTorch: 2.0.1+cu117 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 v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• LAPACK is enabled (usually provided by MKL)
• NNPACK is enabled
• CPU capability usage: AVX2
• CUDA Runtime 11.7
• 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
• CuDNN 8.5
• Magma 2.6.1
• 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= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -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 -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_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.1, 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=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.15.1a0+60a3e72 OpenCV: 4.6.0 MMEngine: 0.8.4 MMCV: 2.0.0 MMDetection: 3.1.0 MMYOLO: 0.6.0+84932d7

Additional information

I printed the state dict keys from the official Yolov7, and found there are layers from 118-->122 that are not included in the mmyolo converter code. In addition, layer 122 is the box_head instead of layer 118. I think the convert_dict_w is not correct for yolov7-w6.