mmocr [Bug] AttributeError: 'NoneType' object has no attribute 'shape' for mjsynth lmdb data

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 (0.x) or latest version (1.x).

Task

I'm using the official example scripts/configs for the officially supported tasks/models/datasets.

Branch

1.x branch https://github.com/open-mmlab/mmocr/tree/dev-1.x

Environment

sys.platform: linux
Python: 3.10.11 (main, Apr 20 2023, 19:02:41) [GCC 11.2.0]
CUDA available: False
numpy_random_seed: 2147483648
GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)
PyTorch: 2.0.0+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
  - 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=2.0.0, 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, 

TorchVision: 0.15.1+cu117
OpenCV: 4.7.0
MMEngine: 0.7.3
MMOCR: 1.0.0+unknown

Reproduces the problem - code sample

The mjsynth dataset was prepared by python tools/dataset_converters/prepare_dataset.py mjsynth --task textrecog --lmdb.

The config file for the dataset is changed to:

train_pipeline = [
    dict(type='LoadImageFromNDArray', ignore_empty=True, min_size=2),
    dict(type='LoadOCRAnnotations', with_text=True),
    dict(
        type='PackTextRecogInputs',
        meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
]

Reproduces the problem - command or script

python tools/train.py configs/textrecog/abinet/abinet-vision_20e_st-an_mj.py

Reproduces the problem - error message

05/25 19:17:13 - mmengine - INFO - Epoch(train)  [1][  1800/278728]  lr: 4.2239e-07  eta: 17 days, 8:17:57  time: 0.2353  data_time: 0.0608  memory: 817  loss: 11.4207  loss_ctc: 11.4207
05/25 19:17:35 - mmengine - INFO - Epoch(train)  [1][  1900/278728]  lr: 4.4031e-07  eta: 17 days, 4:43:53  time: 0.2671  data_time: 0.0933  memory: 817  loss: 11.5051  loss_ctc: 11.5051
Traceback (most recent call last):
  File "/gpfs/projects/ZhuGroup/dev1/tools/train.py", line 114, in <module>
    main()
  File "/gpfs/projects/ZhuGroup/dev1/tools/train.py", line 110, in main
    runner.train()
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/mmengine/runner/runner.py", line 1721, in train
    model = self.train_loop.run()  # type: ignore
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/mmengine/runner/loops.py", line 96, in run
    self.run_epoch()
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/mmengine/runner/loops.py", line 111, in run_epoch
    for idx, data_batch in enumerate(self.dataloader):
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 634, in __next__
    data = self._next_data()
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1326, in _next_data
    return self._process_data(data)
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1372, in _process_data
    data.reraise()
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/torch/_utils.py", line 644, in reraise
    raise exception
AttributeError: Caught AttributeError in DataLoader worker process 2.
Original Traceback (most recent call last):
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
    data = fetcher.fetch(index)
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 51, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/mmengine/dataset/dataset_wrapper.py", line 159, in __getitem__
    return self.datasets[dataset_idx][sample_idx]
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/mmengine/dataset/base_dataset.py", line 413, in __getitem__
    data = self.prepare_data(idx)
  File "/gpfs/projects/ZhuGroup/dev1/mmocr/datasets/recog_lmdb_dataset.py", line 149, in prepare_data
    return self.pipeline(data_info)
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/mmengine/dataset/base_dataset.py", line 59, in __call__
    data = t(data)
  File "/gpfs/projects/ZhuGroup/miniconda3/envs/dev1/lib/python3.10/site-packages/mmcv/transforms/base.py", line 12, in __call__
    return self.transform(results)
  File "/gpfs/projects/ZhuGroup/dev1/mmocr/datasets/transforms/loading.py", line 190, in transform
    results['img_shape'] = img.shape[:2]
AttributeError: 'NoneType' object has no attribute 'shape'

Additional information

I'm not sure if #1896 is the cause of this issue. It looks like it is due to an empty image. But given ignore_empty=True is set, why did this still happen?

May 26 '23 00:05 Jiayou-Chao

The prepared lmdb dataset can be downloaded directly from google drive.

May 26 '23 01:05 Jiayou-Chao

It looks like the error is caused by some broken images from mjsynth dataset. A temporary solution can be directly downloading generated lmdb files from other people. For example, it is available at https://aistudio.baidu.com/aistudio/datasetdetail/114635.

May 26 '23 18:05 Jiayou-Chao

Hi @Jiayou-Chao One possible solution is to modify the loading function like this https://github.com/open-mmlab/mmocr/blob/d7c59f3325aaf4cbf6ddd3ec69f03230bc582d19/mmocr/datasets/transforms/loading.py#L182 -->

img = results['img']
if img is None:
   return None

May 29 '23 03:05 Mountchicken

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[Bug] AttributeError: 'NoneType' object has no attribute 'shape' for mjsynth lmdb data

Prerequisite

Task

Branch

Environment

Reproduces the problem - code sample

Reproduces the problem - command or script

Reproduces the problem - error message

Additional information

mmocr
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