Albumentation augmentation doesn't work for LEVIRCD dataset

[guneetmutreja]

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. The bug has not been fixed in the latest version.

Describe the bug The albu augmentations throw error for LEVIRCDDataset which is a change detection dataset with two keys for two images: img and img2

Reproduction

1. What command or script did you run? python tools/train.py configs/swin/Levir_CD.py

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

3. What dataset did you use? LevirCD

Environment

1. Please run python mmseg/utils/collect_env.py to collect necessary environment information and paste it here. sys.platform: linux Python: 3.8.18 (default, Sep 11 2023, 13:20:55) [GCC 11.2.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0: Quadro K2200 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.8, V11.8.89 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 1.9.0 PyTorch compiling details: PyTorch built with:

• GCC 7.3
• C++ Version: 201402
• Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
• Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• NNPACK is enabled
• CPU capability usage: AVX2
• CUDA Runtime 10.2
• 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_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
• CuDNN 7.6.5
• Magma 2.5.2
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -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 -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, 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=ON, USE_NNPACK=ON, USE_OPENMP=ON,

OpenCV: 4.10.0 MMEngine: 0.5.0 MMSegmentation: 1.2.2+c685fe6

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.)

Error traceback

If applicable, paste the error trackback here.

Traceback (most recent call last):
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/mmengine/runner/loops.py", line 158, in __next__
    data = next(self._iterator)
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
    data = self._next_data()
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
    return self._process_data(data)
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
    data.reraise()
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/torch/_utils.py", line 425, in reraise
    raise self.exc_type(msg)
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
    data = fetcher.fetch(index)
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 408, in __getitem__
    data = self.prepare_data(idx)
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 789, in prepare_data
    return self.pipeline(data_info)
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 58, in __call__
    data = t(data)
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/mmcv/transforms/base.py", line 12, in __call__
    return self.transform(results)
  File "/home/mutr_gu/Documents/mmsegmentation/mmseg/datasets/transforms/transforms.py", line 2422, in transform
    results = self.aug(**results)
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/albumentations/core/composition.py", line 299, in __call__
    self.preprocess(data)
  File "/home/mutr_gu/anaconda3/envs/mmselfsup_23feb/lib/python3.8/site-packages/albumentations/core/composition.py", line 326, in preprocess
    raise ValueError(msg)
ValueError: Key img_path is not in available keys.

python-BaseException

Process finished with exit code 1

Bug fix

If you have already identified the reason, you can provide the information here. If you are willing to create a PR to fix it, please also leave a comment here and that would be much appreciated!