[Python] ImportError: DLL load failed while importing onnx_cpp2py_export: A dynamic link...

I'm trying to set up and test the OCR model from the doctr library provided by Mindee (https://github.com/mindee/doctr) within a VSCode. I installed the package in run.ipynb using the following command:

!pip install -qe doctr/.


I then tried to run the sample OCR code provided in the repository:

from doctr.io import DocumentFile
from doctr.models import ocr_predictor


However, I encountered the following error:

"name": "ImportError",
"message": "DLL load failed while importing onnx_cpp2py_export: A dynamic link library (DLL) initialization routine failed.",
"stack": "---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
Cell In[3], line 2
1 from doctr.io import DocumentFile
----> 2 from doctr.models import ocr_predictor
4 model = ocr_predictor(pretrained=True)
5 # PDF

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\__init__.py:1
----> 1 from . import io, models, datasets, contrib, transforms, utils
2 from .file_utils import is_tf_available, is_torch_available
3 from .version import __version__ # noqa: F401

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\models\\__init__.py:1
----> 1 from .classification import *
2 from .detection import *
3 from .recognition import *

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\models\\classification\\__init__.py:1
----> 1 from .mobilenet import *
2 from .resnet import *
3 from .vgg import *

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\models\\classification\\mobilenet\\__init__.py:4
1 from doctr.file_utils import is_tf_available, is_torch_available
3 if is_tf_available():
----> 4 from .tensorflow import *
5 elif is_torch_available():
6 from .pytorch import *

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\models\\classification\\mobilenet\\tensorflow.py:15
12 from tensorflow.keras import layers
13 from tensorflow.keras.models import Sequential
---> 15 from ....datasets import VOCABS
16 from ...utils import conv_sequence, load_pretrained_params
18 __all__ = [
19 \"MobileNetV3\",
20 \"mobilenet_v3_small\",
(...)
25 \"mobilenet_v3_small_page_orientation\",
26 ]

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\datasets\\__init__.py:3
1 from doctr.file_utils import is_tf_available
----> 3 from .generator import *
4 from .cord import *
5 from .detection import *

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\datasets\\generator\\__init__.py:4
1 from doctr.file_utils import is_tf_available, is_torch_available
3 if is_tf_available():
----> 4 from .tensorflow import *
5 elif is_torch_available():
6 from .pytorch import * # type: ignore[assignment]

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\datasets\\generator\\tensorflow.py:8
1 # Copyright (C) 2021-2024, Mindee.
2
3 # This program is licensed under the Apache License 2.0.
4 # See LICENSE or go to <https://opensource.org/licenses/Apache-2.0> for full license details.
6 import tensorflow as tf
----> 8 from .base import _CharacterGenerator, _WordGenerator
10 __all__ = [\"CharacterGenerator\", \"WordGenerator\"]
13 class CharacterGenerator(_CharacterGenerator):

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\datasets\\generator\\base.py:14
11 from doctr.io.image import tensor_from_pil
12 from doctr.utils.fonts import get_font
---> 14 from ..datasets import AbstractDataset
17 def synthesize_text_img(
18 text: str,
19 font_size: int = 32,
(...)
22 text_color: Optional[Tuple[int, int, int]] = None,
23 ) -> Image.Image:
24 \"\"\"Generate a synthetic text image
25
26 Args:
(...)
36 PIL image of the text
37 \"\"\"

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\datasets\\datasets\\__init__.py:4
1 from doctr.file_utils import is_tf_available, is_torch_available
3 if is_tf_available():
----> 4 from .tensorflow import *
5 elif is_torch_available():
6 from .pytorch import * # type: ignore[assignment]

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\datasets\\datasets\\tensorflow.py:15
11 import tensorflow as tf
13 from doctr.io import read_img_as_tensor, tensor_from_numpy
---> 15 from .base import _AbstractDataset, _VisionDataset
17 __all__ = [\"AbstractDataset\", \"VisionDataset\"]
20 class AbstractDataset(_AbstractDataset):

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\datasets\\datasets\\base.py:16
13 from doctr.io.image import get_img_shape
14 from doctr.utils.data import download_from_url
---> 16 from ...models.utils import _copy_tensor
18 __all__ = [\"_AbstractDataset\", \"_VisionDataset\"]
21 class _AbstractDataset:

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\models\\utils\\__init__.py:4
1 from doctr.file_utils import is_tf_available, is_torch_available
3 if is_tf_available():
----> 4 from .tensorflow import *
5 elif is_torch_available():
6 from .pytorch import * # type: ignore[assignment]

File c:\\Users\\vishw\\Desktop\\test\\doctr\\doctr\\models\\utils\\tensorflow.py:12
9 from zipfile import ZipFile
11 import tensorflow as tf
---> 12 import tf2onnx
13 from tensorflow.keras import Model, layers
15 from doctr.utils.data import download_from_url

File c:\\Python312\\Lib\\site-packages\\tf2onnx\\__init__.py:8
3 \"\"\"tf2onnx package.\"\"\"
5 __all__ = [\"utils\", \"graph_matcher\", \"graph\", \"graph_builder\",
6 \"tfonnx\", \"shape_inference\", \"schemas\", \"tf_utils\", \"tf_loader\", \"convert\"]
----> 8 import onnx
9 from .version import git_version, version as __version__
10 from . import verbose_logging as logging

File c:\\Python312\\Lib\\site-packages\\onnx\\__init__.py:77
73 from typing import IO, Literal, Union
76 from onnx import serialization
---> 77 from onnx.onnx_cpp2py_export import ONNX_ML
78 from onnx.external_data_helper import (
79 load_external_data_for_model,
80 write_external_data_tensors,
81 convert_model_to_external_data,
82 )
83 from onnx.onnx_pb import (
84 AttributeProto,
85 EXPERIMENTAL,
(...)
111 Version,
112 )

ImportError: DLL load failed while importing onnx_cpp2py_export: A dynamic link library (DLL) initialization routine failed."


Details about my environment:

• I'm working within a Jupyter notebook (run.ipynb).
• I'm testing the docTR model in my local Windows environment.
• My project structure looks like this

Im trying to run the docTR model given in the github repo link which i've posted and i want someone to help me fix the DLL issue related to ONNX so that i can run docTR models.

also I want to understand:

• Whether this error is due to ONNX or the OCR model setup.
• How to resolve this DLL loading issue to successfully test docTR models in my VSCode Jupyter notebook.

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