Missing Key of pad_shape in img_meta

[LaiXuanyu]

Thanks for your error report and we appreciate it a lot.

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
I pip the lastest mmdetection from source and use M-Rcnn architectecture but during the training it has follow bug, the img_mata doesn't have key of [pad_shape]

Reproduction

1. What command or script did you run?

2. Did you make any modifications on the code or config? Did you understand what you have modified?

I use new backbone and dataset. I think the model can load sussucceful means the change is reasonable
3. What dataset did you use?

UIIS coco format dataset

Environment

sys.platform: linux
Python: 3.11.11 | packaged by conda-forge | (main, Dec 5 2024, 14:17:24) [GCC 13.3.0]
CUDA available: False
MUSA available: False
numpy_random_seed: 2147483648
GCC: gcc (GCC) 8.5.0 20210514 (Red Hat 8.5.0-18)
PyTorch: 2.1.2
PyTorch compiling details: PyTorch built with:

• GCC 9.3
• C++ Version: 201703
• Intel(R) oneAPI Math Kernel Library Version 2022.1-Product Build 20220311 for Intel(R) 64 architecture applications
• Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• LAPACK is enabled (usually provided by MKL)
• NNPACK is enabled
• CPU capability usage: AVX512
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, 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 -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=2.1.2, 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,

TorchVision: 0.16.2
OpenCV: 4.10.0
MMEngine: 0.10.5
MMDetection: 3.3.0+cfd5d3a

Error traceback
The traceback shows following

Traceback (most recent call last):
File "/rds/general/user/xl4423/home/AutoSAM/mmdetection/tools/train.py", line 123, in
main()
File "/rds/general/user/xl4423/home/AutoSAM/mmdetection/tools/train.py", line 119, in main
runner.train()
File "/rds/general/user/xl4423/home/anaconda3/envs/AutoSAM/lib/python3.11/site-packages/mmengine/runner/runner.py", line 1777, in train
model = self.train_loop.run() # type: ignore
^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/anaconda3/envs/AutoSAM/lib/python3.11/site-packages/mmengine/runner/loops.py", line 98, in run
self.run_epoch()
File "/rds/general/user/xl4423/home/anaconda3/envs/AutoSAM/lib/python3.11/site-packages/mmengine/runner/loops.py", line 115, in run_epoch
self.run_iter(idx, data_batch)
File "/rds/general/user/xl4423/home/anaconda3/envs/AutoSAM/lib/python3.11/site-packages/mmengine/runner/loops.py", line 131, in run_iter
outputs = self.runner.model.train_step(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/anaconda3/envs/AutoSAM/lib/python3.11/site-packages/mmengine/model/base_model/base_model.py", line 114, in train_step
losses = self._run_forward(data, mode='loss') # type: ignore
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/anaconda3/envs/AutoSAM/lib/python3.11/site-packages/mmengine/model/base_model/base_model.py", line 361, in _run_forward
results = self(**data, mode=mode)
^^^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/anaconda3/envs/AutoSAM/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/anaconda3/envs/AutoSAM/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/AutoSAM/mmdetection/mmdet/models/detectors/base.py", line 92, in forward
return self.loss(inputs, data_samples)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/AutoSAM/mmdetection/mmdet/models/detectors/two_stage.py", line 175, in loss
rpn_losses, rpn_results_list = self.rpn_head.loss_and_predict(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/AutoSAM/mmdetection/mmdet/models/dense_heads/base_dense_head.py", line 165, in loss_and_predict
losses = self.loss_by_feat(*loss_inputs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/AutoSAM/mmdetection/mmdet/models/dense_heads/rpn_head.py", line 125, in loss_by_feat
losses = super().loss_by_feat(
^^^^^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/AutoSAM/mmdetection/mmdet/models/dense_heads/anchor_head.py", line 500, in loss_by_feat
anchor_list, valid_flag_list = self.get_anchors(
^^^^^^^^^^^^^^^^^
File "/rds/general/user/xl4423/home/AutoSAM/mmdetection/mmdet/models/dense_heads/anchor_head.py", line 196, in get_anchors
featmap_sizes, img_meta['pad_shape'], device)
~~~~~~~~^^^^^^^^^^^^^
KeyError: 'pad_shape'

Bug fix
I am trying to fix it.