I am trying to run cv2, but when I try to import it, I get the following error:
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
The suggested solution online is installing
apt install libgl1-mesa-glx
but this is already installed and the latest version.
NB: I am actually running this on Docker, and I am not able to check the OpenCV version. I tried importing matplotlib and that imports fine.
Add the following lines to your Dockerfile:
RUN apt-get update && apt-get install ffmpeg libsm6 libxext6 -y
These commands install the cv2 dependencies that are normally present on the local machine, but might be missing in your Docker container causing the issue.
[minor update on 20 Jan 2022: as Docker recommends, never put RUN apt-get update alone, causing cache issue]
Even though the above solutions work. But their package sizes are quite big.
libGL.so.1 is provided by package libgl1. So the following code is sufficient.
apt-get update && apt-get install libgl1
Try installing opencv-python-headless python dependency instead of opencv-python. That includes a precompiled binary wheel with no external dependencies (other than numpy), and is intended for headless environments like Docker. This saved almost 700mb in my docker image compared with using the python3-opencv Debian package (with all its dependencies).
The package documentation discusses this and the related (more expansive) opencv-contrib-python-headless pypi package.
ImportError in the question# docker run -it python:3.9-slim bash -c "pip -q install opencv-python; python -c 'import cv2'"
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/usr/local/lib/python3.9/site-packages/cv2/__init__.py", line 5, in <module>
from .cv2 import *
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
# docker run -it python:3.9-slim bash -c "pip -q install opencv-python-headless; python -c 'import cv2'"
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
This is a little bit better solution in my opinion. Package python3-opencv includes all system dependencies of OpenCV.
RUN apt-get update && apt-get install -y python3-opencv
RUN pip install opencv-python
For me, the only WA that worked is following:
# These are for libGL.so issues
# RUN apt-get update
# RUN apt install libgl1-mesa-glx
# RUN apt-get install -y python3-opencv
# RUN pip3 install opencv-python
RUN pip3 install opencv-python-headless==4.5.3.56
If you're on CentOS, RHEL, Fedora, or other linux distros that use yum, you'll want:
sudo yum install mesa-libGL -y
In my case it was enough to do the following which also saves space in comparison to above solutions
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 \
libglib2.0-0 \
Put this in the Dockerfile
RUN apt-get update
RUN apt install -y libgl1-mesa-glx
Before the line
COPY requirements.txt requirements.txt
For example
......
RUN apt-get update
RUN apt install -y libgl1-mesa-glx
COPY requirements.txt requirements.txt
......
Here is the solution you need:
pip install -U opencv-python
apt update && apt install -y libsm6 libxext6 ffmpeg libfontconfig1 libxrender1 libgl1-mesa-glx
I was getting the same error when I was trying to use OpenCV in the GCP Appengine Flex server environment. Replacing "opencv-python" by "opencv-python-headless" in the requirements.txt solved the problem.
The OpenCV documentation talks about different packages for desktop vs. Server (headless) environments.
Use opencv-python-headless if you're using docker or in server environment.
I met this problem while using cv2 in a docker container. I fixed it by:
pip install opencv-contrib-python
install opencv-contrib-python rather than opencv-python.
had the same issue on centos 8 after using pip3 install opencv on a non gui server which is lacking all sorts of graphics libraries.
dnf install opencv
pulls in all needed dependencies.
"installing opencv-python-headless instead of opencv-python" this works in my case! I was deploying my website to Azure and pop up this exception: ImportError: libGL.so.1: cannot open shared object file: No such file or directory then I uninstall the opencv-python package, install the later one, freeze the requirements and then deploy it again, then problem solved.
I got error:
ImportError: libEGL.so.1: cannot open shared object file: No such file or directory
which is very similar to:
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
Basically libGL become libEGL (extra E)
In this case you must install libegl1 and not libgl1:
apt update && apt install libegl1 -y
For a raspberry pi, put this , work for me :
sudo apt-get install ffmpeg libsm6 libxext6 -y
For me, the problem was related to proxy setting. For pypi, I was using nexus mirror to pypi, for opencv nothing worked. Until I connected to a different network.
I got the same issue on Ubuntu desktop, and none of the other solutions worked for me.
libGL.so.1 was correctly installed but for some reason Python wasn’t able to see it:
$ ldconfig -p | grep libGL.so.1
libGL.so.1 (libc6,x86-64) => /lib/x86_64-linux-gnu/libGL.so.1
The only solution that worked was to force it in LD_LIBRARY_PATH. Add the following in your ~/.bashrc then run source ~/.bashrc or restart your shell:
export LD_LIBRARY_PATH="/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH"
I understand that LD_LIBRARY_PATH is bad but for me this is the only solution that works.
