KeyError: "Recognizer3D: 'SwinTransformer3D is not in the models registry'"

[yugrocks]

Describe the bug

While running the training script "tools/train.py" this error occurs.

Reproduction Run the command:

python Video-Swin-Transformer/tools/train.py _Video-Swin-Transformer/configs/recognition/swin/swin_base_patch244_window877_kinetics600_22k.py

2. Did you make any modifications on the code or config? - No. Did you understand what you have modified? - No
3. What dataset did you use? - Kinetics600

Environment

1. Please run PYTHONPATH=${PWD}:$PYTHONPATH python mmaction/utils/collect_env.py to collect necessary environment information and paste it here.

Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).
sys.platform: linux
Python: 3.7.10 | packaged by conda-forge | (default, Feb 19 2021, 16:07:37) [GCC 9.3.0]
CUDA available: True
GPU 0: Tesla P100-PCIE-16GB
CUDA_HOME: /usr/local/cuda
NVCC: Build cuda_11.0_bu.TC445_37.28845127_0
GCC: gcc (Debian 8.3.0-6) 8.3.0
PyTorch: 1.7.0
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)
  - 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_70,code=sm_70;-gencode;arch=compute_75,code=sm_75
  - CuDNN 7.6.5
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -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, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=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, 

TorchVision: 0.10.0+cu102
OpenCV: 4.5.3
MMCV: 1.3.12
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 10.2
MMAction2: 0.17.0+

2. You may add addition that may be helpful for locating the problem, such as
   • How you installed PyTorch [e.g., pip, conda, source] -- using pip
   • Other environment variables that may be related (such as $PATH, $LD_LIBRARY_PATH, $PYTHONPATH, etc.) - None

Error traceback

{'type': 'Recognizer3D', 'backbone': {'type': 'SwinTransformer3D', 'patch_size': (2, 4, 4), 'embed_dim': 128, 'depths': [2, 2, 18, 2], 'num_heads': [4, 8, 16, 32], 'window_size': (8, 7, 7), 'mlp_ratio': 4.0, 'qkv_bias': True, 'qk_scale': None, 'drop_rate': 0.0, 'attn_drop_rate': 0.0, 'drop_path_rate': 0.2, 'patch_norm': True}, 'cls_head': {'type': 'I3DHead', 'in_channels': 1024, 'num_classes': 600, 'spatial_type': 'avg', 'dropout_ratio': 0.5}, 'test_cfg': {'average_clips': 'prob', 'max_testing_views': 2}}
Traceback (most recent call last):
  File "/opt/conda/lib/python3.7/site-packages/mmcv/utils/registry.py", line 52, in build_from_cfg
    return obj_cls(**args)
  File "/opt/conda/lib/python3.7/site-packages/mmaction/models/recognizers/base.py", line 75, in __init__
    self.backbone = builder.build_backbone(backbone)
  File "/opt/conda/lib/python3.7/site-packages/mmaction/models/builder.py", line 29, in build_backbone
    return BACKBONES.build(cfg)
  File "/opt/conda/lib/python3.7/site-packages/mmcv/utils/registry.py", line 212, in build
    return self.build_func(*args, **kwargs, registry=self)
  File "/opt/conda/lib/python3.7/site-packages/mmcv/cnn/builder.py", line 27, in build_model_from_cfg
    return build_from_cfg(cfg, registry, default_args)
  File "/opt/conda/lib/python3.7/site-packages/mmcv/utils/registry.py", line 45, in build_from_cfg
    f'{obj_type} is not in the {registry.name} registry')
KeyError: 'SwinTransformer3D is not in the models registry'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "Video-Swin-Transformer/tools/train.py", line 196, in <module>
    main()
  File "Video-Swin-Transformer/tools/train.py", line 154, in main
    model = build_model(cfg.model,train_cfg=cfg.get('train_cfg'),test_cfg=cfg.get('test_cfg'))
  File "/opt/conda/lib/python3.7/site-packages/mmaction/models/builder.py", line 70, in build_model
    return build_localizer(cfg)
  File "/opt/conda/lib/python3.7/site-packages/mmaction/models/builder.py", line 62, in build_localizer
    return LOCALIZERS.build(cfg)
  File "/opt/conda/lib/python3.7/site-packages/mmcv/utils/registry.py", line 212, in build
    return self.build_func(*args, **kwargs, registry=self)
  File "/opt/conda/lib/python3.7/site-packages/mmcv/cnn/builder.py", line 27, in build_model_from_cfg
    return build_from_cfg(cfg, registry, default_args)
  File "/opt/conda/lib/python3.7/site-packages/mmcv/utils/registry.py", line 55, in build_from_cfg
    raise type(e)(f'{obj_cls.__name__}: {e}')
KeyError: "Recognizer3D: 'SwinTransformer3D is not in the models registry'"

Other packages versions

mmcv-full == 1.3.12 pytorch==1.7.0 mmaction2==0.18.0 mmdet == 2.16.0 scipy==1.6.3 numpy==1.19.5

[hust-nj]

Hi, please uninstall mmaction2, and run pip install -v -e . --user

[yugrocks]

Hi @hust-nj thanks for the help. I tried what you suggested and the error was gone. But another error has occurred when running the training command.

Prediction is not allowed in AAC-LC.
decode_pce: Input buffer exhausted before END element found
decode_pce: Input buffer exhausted before END element found
Number of bands (17) exceeds limit (16).
Reserved bit set.
Number of bands (31) exceeds limit (1).
Traceback (most recent call last):
  File "tools/train.py", line 196, in <module>
    main()
  File "tools/train.py", line 192, in main
    meta=meta)
  File "/home/jupyter/Video-Swin-Transformer/mmaction/apis/train.py", line 195, in train_model
    runner.run(data_loaders, cfg.workflow, cfg.total_epochs, **runner_kwargs)
  File "/opt/conda/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 127, in run
    epoch_runner(data_loaders[i], **kwargs)
  File "/opt/conda/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 47, in train
    for i, data_batch in enumerate(self.data_loader):
  File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 435, in __next__
    data = self._next_data()
  File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1085, in _next_data
    return self._process_data(data)
  File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1111, in _process_data
    data.reraise()
  File "/opt/conda/lib/python3.7/site-packages/torch/_utils.py", line 428, in reraise
    raise self.exc_type(msg)
decord._ffi.base.DECORDError: Caught DECORDError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 198, in _worker_loop
    data = fetcher.fetch(index)
  File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/home/jupyter/Video-Swin-Transformer/mmaction/datasets/base.py", line 287, in __getitem__
    return self.prepare_train_frames(idx)
  File "/home/jupyter/Video-Swin-Transformer/mmaction/datasets/base.py", line 261, in prepare_train_frames
    return self.pipeline(results)
  File "/home/jupyter/Video-Swin-Transformer/mmaction/datasets/pipelines/compose.py", line 41, in __call__
    data = t(data)
  File "/home/jupyter/Video-Swin-Transformer/mmaction/datasets/pipelines/loading.py", line 965, in __call__
    container = decord.VideoReader(file_obj, num_threads=self.num_threads)
  File "/opt/conda/lib/python3.7/site-packages/decord/video_reader.py", line 52, in __init__
    ba, ctx.device_type, ctx.device_id, width, height, num_threads, 2, fault_tol)
  File "/opt/conda/lib/python3.7/site-packages/decord/_ffi/_ctypes/function.py", line 175, in __call__
    ctypes.byref(ret_val), ctypes.byref(ret_tcode)))
  File "/opt/conda/lib/python3.7/site-packages/decord/_ffi/base.py", line 78, in check_call
    raise DECORDError(err_str)
decord._ffi.base.DECORDError: [05:20:10] /github/workspace/src/video/video_reader.cc:151: Check failed: st_nb >= 0 (-1381258232 vs. 0) ERROR cannot find video stream with wanted index: -1

Can you please guide me how to solve this one?

[wangxiao5791509]

pip uninstall mmaction2 cd /home/wangxiao/Documents/projects/Video-Swin-Transformer-master/mmaction2 && pip install -v -e . --user

then, add the path of mmaction into the train.py:

import sys sys.path.insert(0, "/home/wangxiao/Documents/projects/Video-Swin-Transformer-master/")

from mmaction import version from mmaction.apis import train_model from mmaction.datasets import build_dataset from mmaction.models import build_model from mmaction.utils import collect_env, get_root_logger, register_module_hooks

[clannadcl]

@wangxiao5791509 @hust-nj I also met the error, and I have downloaded the https://github.com/open-mmlab/mmaction2.git, && pip install -v -e . --user. But it didn't work.

[wangxiao5791509]

@clannadcl what error?

[hust-nj]

@wangxiao5791509 @hust-nj I also met the error, and I have downloaded the https://github.com/open-mmlab/mmaction2.git, && pip install -v -e . --user. But it didn't work.

You don't need to download and install mmaction2 repo, please uninstall it and run pip install -v -e . --user in Video-Swin-Transformer repo dir to install current project. @clannadcl

[TheEighthDay]

I met the same problem: "KeyError: "Recognizer3D: 'SwinTransformer3D is not in the models registry'"", when i try tools/test.py.

[lyglxz]

maybe you can try

pip uninstall mmaction2
cd Video-Swin-Transformer
python setup.py develop

works for me while building a docker image