Comments (7)
faustomorales
commented on July 20, 2024
7
Hi there! It appears you're running into an issue related to Shapely installation (pyinstaller/pyinstaller#2834). In the related issue, others suggested installing Shapely using conda-forge.
conda config --add channels conda-forge
conda install shapely
Does this resolve the issue?
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MounaBC
commented on July 20, 2024
4
@leenremm I had the same issue on installing keras-ocr on a windows machine. The problem is with the Shapely package indeed. Installing it just with pip install wouldn't work. So I installed it using wheel.
The latest version of Shapely is 1.7.0 but it doesn't seem to work even if we use wheel. You can try installing another version (1.6.2.post2).
I don't really know why it doesn't work for the latest version but installing shapely by running :
pip install /path/to/whl/file.whl
and then running :
pip install keras-ocr
pip install tensorflow
worked for me.
You can find the whl file of the 1.6.2.post2 version of shapely for a windows machine and python version 3.7 attached here.
Hope it works for you!
Shapely-1.6.4.post2-cp37-cp37m-win_amd64.zip
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PawelSibczynski
commented on July 20, 2024
3
Hi everyone,
I had the same issue under Windows 10 and indeed it seems to be related with Shapely package.
In Anaconda, I solved the problem by downgrading Shapely to version 1.6.4 with: conda install shapely=1.6.4. I can confirm that the the solution mentioned by @MounaBC works.
I did it on three computers with Windows 10 and everytime it solved the problem.
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leenremm
commented on July 20, 2024
Here is what I found:
- Create a new virtual environment
mkdir venv
cd venv
mkdir project
python -m venv project
project\Scripts\activate.bat
- Install keras-ocr, and tensorflow
python -m pip install --upgrade pip
pip install keras-ocr
pip install tensorflow
- Install Shapely (as you suggest):
call conda config --add channels conda-forge
call conda install shapely
Anaconda output:
Collecting package metadata (current_repodata.json): done
Solving environment: /
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- defaults/win-64::anaconda==2019.10=py37_0
- defaults/win-64::anaconda-navigator==1.9.7=py37_0
- defaults/win-64::astropy==3.2.1=py37he774522_0
- defaults/win-64::bkcharts==0.2=py37_0
- defaults/win-64::bokeh==1.3.4=py37_0
- defaults/win-64::bottleneck==1.2.1=py37h452e1ab_1
- anaconda/win-64::conda==4.8.1=py37_0
- defaults/win-64::conda-build==3.18.9=py37_3
- defaults/win-64::conda-package-handling==1.6.0=py37h62dcd97_0
- defaults/noarch::conda-verify==3.4.2=py_1
- defaults/noarch::dask==2.5.2=py_0
- defaults/win-64::h5py==2.9.0=py37h5e291fa_0
- defaults/win-64::imageio==2.6.0=py37_0
- anaconda/noarch::keras-applications==1.0.8=py_0
- anaconda/win-64::keras-gpu==2.2.4=0
- anaconda/noarch::keras-preprocessing==1.1.0=py_1
- defaults/win-64::mkl_fft==1.0.14=py37h14836fe_0
- defaults/win-64::mkl_random==1.1.0=py37h675688f_0
- defaults/win-64::numba==0.45.1=py37hf9181ef_0
- defaults/win-64::numexpr==2.7.0=py37hdce8814_0
- defaults/win-64::numpy==1.16.5=py37h19fb1c0_0
- anaconda/noarch::opt_einsum==3.1.0=py_0
- defaults/win-64::pandas==0.25.1=py37ha925a31_0
- defaults/win-64::patsy==0.5.1=py37_0
- defaults/win-64::pytables==3.5.2=py37h1da0976_1
- defaults/win-64::pytest-arraydiff==0.3=py37h39e3cac_0
- defaults/win-64::pytest-astropy==0.5.0=py37_0
- defaults/noarch::pytest-doctestplus==0.4.0=py_0
- defaults/win-64::pywavelets==1.0.3=py37h8c2d366_1
- defaults/win-64::seaborn==0.9.0=py37_0
- defaults/win-64::statsmodels==0.10.1=py37h8c2d366_0
- anaconda/win-64::tensorflow==2.0.0=gpu_py37h57d29ca_0
- anaconda/win-64::tensorflow-gpu==2.0.0=h0d30ee6_0
failed with initial frozen solve. Retrying with flexible solve.
Solving environment: done
Collecting package metadata (repodata.json): done
Solving environment: -
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- defaults/win-64::anaconda==2019.10=py37_0
- defaults/win-64::anaconda-navigator==1.9.7=py37_0
- defaults/win-64::astropy==3.2.1=py37he774522_0
- defaults/win-64::bkcharts==0.2=py37_0
- defaults/win-64::bokeh==1.3.4=py37_0
- defaults/win-64::bottleneck==1.2.1=py37h452e1ab_1
- anaconda/win-64::conda==4.8.1=py37_0
- defaults/win-64::conda-build==3.18.9=py37_3
- defaults/win-64::conda-package-handling==1.6.0=py37h62dcd97_0
- defaults/noarch::conda-verify==3.4.2=py_1
- defaults/noarch::dask==2.5.2=py_0
- defaults/win-64::h5py==2.9.0=py37h5e291fa_0
- defaults/win-64::imageio==2.6.0=py37_0
- anaconda/noarch::keras-applications==1.0.8=py_0
- anaconda/win-64::keras-gpu==2.2.4=0
- anaconda/noarch::keras-preprocessing==1.1.0=py_1
- defaults/win-64::mkl_fft==1.0.14=py37h14836fe_0
- defaults/win-64::mkl_random==1.1.0=py37h675688f_0
- defaults/win-64::numba==0.45.1=py37hf9181ef_0
- defaults/win-64::numexpr==2.7.0=py37hdce8814_0
- defaults/win-64::numpy==1.16.5=py37h19fb1c0_0
- anaconda/noarch::opt_einsum==3.1.0=py_0
- defaults/win-64::pandas==0.25.1=py37ha925a31_0
- defaults/win-64::patsy==0.5.1=py37_0
- defaults/win-64::pytables==3.5.2=py37h1da0976_1
- defaults/win-64::pytest-arraydiff==0.3=py37h39e3cac_0
- defaults/win-64::pytest-astropy==0.5.0=py37_0
- defaults/noarch::pytest-doctestplus==0.4.0=py_0
- defaults/win-64::pywavelets==1.0.3=py37h8c2d366_1
- defaults/win-64::seaborn==0.9.0=py37_0
- defaults/win-64::statsmodels==0.10.1=py37h8c2d366_0
- anaconda/win-64::tensorflow==2.0.0=gpu_py37h57d29ca_0
- anaconda/win-64::tensorflow-gpu==2.0.0=h0d30ee6_0
done
Pip list:
absl-py==0.9.0
astor==0.8.1
cachetools==4.0.0
certifi==2019.11.28
chardet==3.0.4
cycler==0.10.0
decorator==4.4.1
editdistance==0.5.3
efficientnet==1.0.0
essential-generators==0.9.2
fonttools==4.4.0
gast==0.2.2
google-auth==1.11.2
google-auth-oauthlib==0.4.1
google-pasta==0.1.8
grpcio==1.27.2
h5py==2.10.0
idna==2.9
imageio==2.8.0
imgaug==0.4.0
Keras-Applications==1.0.8
keras-ocr==0.6.3
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.2.1
matplotlib==3.1.3
networkx==2.4
numpy==1.18.1
oauthlib==3.1.0
opencv-python==4.2.0.32
opt-einsum==3.1.0
Pillow==7.0.0
protobuf==3.11.3
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyclipper==1.1.0.post3
pyparsing==2.4.6
python-dateutil==2.8.1
PyWavelets==1.1.1
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
scikit-image==0.16.2
scipy==1.4.1
Shapely==1.7.0
six==1.14.0
tensorboard==2.1.0
tensorflow==2.1.0
tensorflow-estimator==2.1.0
termcolor==1.1.0
tqdm==4.43.0
urllib3==1.25.8
validators==0.14.2
Werkzeug==1.0.0
wrapt==1.12.0
Same error when running the sample code:
(project) (base) C:\Users\...\Documents>python main.py
2020-02-23 15:03:06.027923: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-02-23 15:03:06.031828: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
File "main.py", line 3, in <module>
import keras_ocr
File "C:\Users\...\Documents\venv\project\lib\site-packages\keras_ocr\__init__.py", line 1, in <module>
from . import (detection, recognition, tools, data_generation, pipeline, evaluation, datasets,
File "C:\Users\...\Documents\venv\project\lib\site-packages\keras_ocr\detection.py", line 31, in <module>
from . import tools
File "C:\Users\...\Documents\venv\project\lib\site-packages\keras_ocr\tools.py", line 14, in <module>
from shapely import geometry
File "C:\Users\...\Documents\venv\project\lib\site-packages\shapely\geometry\__init__.py", line 4, in <module>
from .base import CAP_STYLE, JOIN_STYLE
File "C:\Users\...\Documents\venv\project\lib\site-packages\shapely\geometry\base.py", line 18, in <module>
from shapely.coords import CoordinateSequence
File "C:\Users\...\Documents\venv\project\lib\site-packages\shapely\coords.py", line 8, in <module>
from shapely.geos import lgeos
File "C:\Users\...\Documents\venv\project\lib\site-packages\shapely\geos.py", line 145, in <module>
_lgeos = CDLL(os.path.join(sys.prefix, 'Library', 'bin', 'geos_c.dll'))
File "C:\Users\...\Anaconda3\lib\ctypes\__init__.py", line 364, in __init__
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] The specified module could not be found
Do you have a sample venv_setup script for Windows 10?
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faustomorales
commented on July 20, 2024
I don't have access to a Windows machine, unfortunately but @Johndirr appears to have successfully gotten the package running on Windows.
It does seem pretty clear that this is a problem with getting Shapely installed. For debugging, I would suggest starting with a clean environment and trying to just get from shapely import geometry to work. Once it does, then you should be able to install keras-ocr and the remaining dependencies successfully.
I apologize for not having more helpful advice. Short of getting a Windows machine or refactoring out Shapely as a dependency (which perhaps we should do -- though it won't be easy), I'm not sure how else to resolve.
If you do figure it out, please do post back here and we can add what you found to the documentation for other Windows users.
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leenremm
commented on July 20, 2024
Thanks @MounaBC, that worked!
For those having the same issue, see below a script to setup a venv on Windows 10:
:: =================================================
:: Create new Virtual Environment
:: =================================================
mkdir venv
cd venv
mkdir project
call python -m venv project
call project\Scripts\activate.bat
pip freeze
:: =================================================
:: Install Python Packages and Dependencies
:: =================================================
python -m pip install --upgrade pip
pip install D:\Software\Shapely-1.6.4.post2-cp37-cp37m-win_amd64\Shapely-1.6.4.post2-cp37-cp37m-win_amd64.whl
pip install keras-ocr
pip install tensorflow
cd ../
pip freeze
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atharva21jadhav
commented on July 20, 2024
Thanks @MounaBC the solution worked on my machine. The step by step guide from @leenremm is something one should follow in future.
from keras-ocr.
Related Issues (20)
- Very inaccurate results with keras-ocr tflite model HOT 1
- Cannot train Recognizer - ValueError: Exception encountered when calling layer 'lambda_1' (type Lambda). HOT 5
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- Open Source License HOT 1
- Adding an example for fine-tuning both detector & recognizer using an your own dataset HOT 4
- Detecting vertical text with craft HOT 3
- Can I extract the text color too?
- Error while import package
- How can I load the models in an offline environment? HOT 1
- Finetuning the recognizer crashes when reaching the fit_generator method
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- Text bbox transform
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- Filling up RAM
- unable to load fonts. There is some issue not loading fonts while end-to-end training. HOT 1
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