Importerror Unable To Find Zbar Shared Library Mac

ImporError: LibCublas.so.9.0: Cannot open shared object file: No such file: ImporError: LibCublas.so.9.0: Cannot open shared object file: No such file: ImporError: LibCublas.so.
This means the CUDA version is not compatible with TF.
I’m running in a virtual environment created by Conda. Python =3.6. CUDA version = 9.2 in basic environment.

Raise ImportError('Unable to find zbar shared library') ImportError: Unable to find zbar shared library sagban/Zbar-barcode-reader-python-javascript#3 Open Copy link. ImportError: Unable to find zbar shared library Issue #37, File '/usr/lib/python3.6/site-packages/pyzbar/zbarlibrary.py', line 65, in load raise ImportError('Unable to find zbar shared library') ImportError: File '/usr/lib/python3.6/site-packages/pyzbar/wrapper.py', line 120, in loadlibzbar. Libzbar, dependencies = zbarlibrary.load File '/usr/lib/python3.6/site-packages/pyzbar/zbarlibrary.py', line 65, in load. Raise ImportError ('Unable to find zbar shared library'). ImportError: Unable to find zbar shared library. Once again for everyone who ran into my problem. Here is a list of steps to run pyzbar on heroku: Create heroku app; Create next files: app.py from pyzbar.pyzbar import decode Procfile, main: python app.py requirements.txt pyzbar0.1.8 Aptfile libzbar-dev; And add next buildpacks. Importerror: unable to find zbar shared library mac Pyzbar. Install this Python wrapper; use the second form to install dependencies of the command-line scripts: pip. Failed building wheel for zbar. Failed to install zbar with pip on Windows, It may be complicated to have pip compiles.

Importerror Unable To Find Zbar Shared Library Mac Download

When TensorFlow was configured, it was TF1.8 installed as CUDA 9.2. How could it not be compatible?So I’m n V c minus V.
So I was curious to create a new virtual environment and install TensorFlow =1.8.

See the error and think TF1.8 is really not compatible with CUDA10 + lol, I need to confirm the CUDA driver version.

The original CUDA driver is 10.1, the CUDA version and the driver version are not consistent, embarrassing. It turned out that the graphics driver on the new computer was too new. Please refer to the corresponding relationship on Nvidia’s website:
The CUDA driver is 430.64, but the CUDA version=9.2 is configured. Well, upgrade the CUDA version and the problem is solved. Of course TF will be upgraded to 2.0+.

import pyzbar.pyzbar - Unable to find zbar shared library