opencv import error (libopencv_dnn.so.3.4 undefined symbol) - python

System information:
Ubuntu 16.04, Anaconda 1.6.9, Python 3.6.4, libopencv 3.4.1, opencv 3.4.1, py-opencv 3.4.1.
Problem definition: I just upgraded my opencv to 3.4 through anaconda and found could not import.
The import error is:
ImportError: anaconda3/lib/python3.6/site-packages/../../libopencv_dnn.so.3.4: undefined symbol: _ZNK6google8protobuf7Message25InitializationErrorStringB5cxx11Ev

The following solution works for me, although not sure why and how.
conda install -c defaults libprotobuf protobuf
conda install -c menpo opencv3

Have you tried this answer from GitHub:
Configure /usr/local/cuda/include/host_config.h as suggested.
(remove the gcc 5 error from the CUDA header host_config.h)
sudo apt-get autoremove libprotobuf-dev protobuf-compiler
then compile the protobuf-2.5.0 from src and install Please config the gcc when you
compile protobuf ./configure --prefix=/usr/local/ CC=/usr/bin/gcc
Also (GitHub user groakat mentions):
for me this problem was caused because I had protobuf installed in
anaconda. If you have protobuf installed in your anaconda environment,
you have to remove all files by hand, as conda uninstall protobuf does
not remove all the library files.

Related

libssl.so.3: cannot open shared object file: No such file or directory

I have provisioned a vanila centos and then executed the following commands:
conda create --name an-env python=3.9
conda activate an-env
conda install -c conda-forge sentence-transformers
I am trying to import a hugging face library:
from sentence_transformers import SentenceTransformer
import os
In a centos 8 machine I get the following error:
libssl.so.3: cannot open shared object file: No such file or directory
I installed it using the following command:
conda install -c conda-forge sentence-transformers
Already tried the following:
yum install openssl.x86_64
yum install pyOpenSSL.x86_64
I also tried:
sudo ldconfig
and still get the following error:
libssl.so.3: cannot open shared object file: No such file or directory
Can anyone please help me how to resolve this error?
I got the idea from #CharlesDuffy as he mentioned You need to have the same version of OpenSSL installed that your software was compiled against
I uninstalled the library using conda uninstall sentence-transformers. And then installed with pip install -U sentence-transformers.
This solves the issue.
I ran into a similar issue when building my Docker environments. It appears that in conda-forge, some tokenizers builds for version 0.12.1 (more specifically those in *_0) don't include an OpenSSL dependency despite having been built against a specific version (apparently, >= 3.0). This can cause the conda (or, in my case, mamba) solver to choose this version despite it being incompatible with OpenSSL 1.1.1*.
To fix this issue while still using conda, I suggest to explicit tokenizers>=0.13.1 either in conda install or environment.yml.

anaconda dlib and X11

I am on a mac os X Yosemite. I installed dlib with anaconda with:
conda install -c menpo dlib=19.4
and then removed X11 from anaconda/lib since the X11 distributed by anaconda is presumably broken. Then I installed Xquartz from https://www.xquartz.org/.
But when I go into ipython and import dlib, and type
dlib.image_window()
I am still getting error:
AttributeError: 'module' object has no attribute 'image_window'
What's the issue?
Note I tried installing dlib from scratch when anaconda is not in my system, and I ran into all kinds of other issues. So currently I am committed to making dlib work with anaconda, which it does, except for image_window and presumably other things associated with X11.
I ran into the same issue on my Mac. After doing readings on GitHub, I don't think there exists a workaround for installing dlib with anaconda, since something is not right with X11 headers used by anaconda.
I am able to make dlib.image_window() work after building dlib from source using the latest version available on the repo. The steps are large the same as suggested here on GitHub. The following steps were carried out in a conda environment I use exclusively for computer vision applications:
Clean up dlib installed via conda:
conda uninstall dlib
Install cmake and boost-bython with homebrew:
brew install cmake
brew install boost-python
Build dlib from source:
git clone https://github.com/davisking/dlib.git
cd dlib/
mkdir build
cd build/
cmake .. -DDLIB_USE_CUDA=0 -DUSE_AVX_INSTRUCTIONS=1; cmake --build .
python setup.py install --yes USE_AVX_INSTRUCTIONS --no DLIB_USE_CUDA
The codes took a while to build, but the library works for me in the end.

Unable to install OpenCV 3.2 in Anaconda 4.3

Tried the following steps
conda install -c menpo opencv3=3.2.0 ..
Fetching package metadata....An unexpected error has occurred
Did some internet search and used conda config --set ssl_verify=False
Then tried doing conda update -all and conda update pyopenssl but no luck
even remove certifidoes not work ...gives the same error...infact any update / install attempt gives the same result.
I have NOT set my PYTHONHOME or PYTHONPATH
Followin are the screen shots of my current conda settings and the update/install error. Platform : Windows 8.1
If there is any other method to install OpenCV 3.2 in Anaconda environment please mention it
EDIT : PROBLEM SOLVED
Open Anaconda terminal
Navigate to the folder in Anaconda main folder which contains Python Scripts
Download the un-offical opencv + contrib binaries from here
In the Anaconda terminal do pip install
`
For anaconda running python 3.7, you can use
conda install py-opencv=3.4.2
The menpo file page shows only OpenCV 3.2.0 for Python 2.7/3.4/3.5 on linux-64 platform is available.
You can try this OpenCV 3.2.0 binary in github if your Windows is 64-bit and with Python 2.7.
See this https://stackoverflow.com/questions/42310099 for more informtion.
Also, you can go into your Anaconda environment and run one of the following for OpenCV 3.4.4:
conda install -c conda-forge opencv
conda install -c conda-forge/label/gcc7 opencv
conda install -c conda-forge/label/broken opencv
conda install -c conda-forge/label/cf201901 opencv
I was able to create a new environment using the anaconda navigator with python 3.5. It works for me in that environment.

Persistent issues with installation of OpenAI gym

I am running Ubuntu 16.04 and am having trouble doing a full installation of "gym". What I did:
Installed Anaconda 4.2.0 (the version that comes with Python 3.5)
Installed dependencies with sudo apt-get install -y python-numpy python-dev cmake zlib1g-dev libjpeg-dev xvfb libav-tools xorg-dev python-opengl libboost-all-dev libsdl2-dev swig
Cloned gym repository with "git clone https://github.com/openai/gym.git"
Installed gym with cd gym and then pip install -e '.[all]'
I get no errors throughout this process. Then I open the Spyder ide and run:
import gym
env = gym.make("CartPole-v0")
And it works fine. However, when I run
import gym
env = gym.make("LunarLander-v2")
I get the error:
/path/anaconda3/lib/python3.5/site-packages/Box2D/_Box2D.cpython-35m-x86_64-linux-gnu.so: undefined symbol: _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_appendEPKcm
I also get errors when I try to access other box2d and atari environments.
It is also worth noting that I tried doing all of this on another virtual machine on which I installed the Python 2.7 version of Anaconda, and I got the same message...so this does not seem to have anything to do with the version of python I am using.
I had the same issue on Ubuntu 16.04.
Try to install gcc (GCC) 4.8.5 in your conda environment with conda install -c anaconda gcc=4.8.5. This fixed it for me. See also https://anaconda.org/anaconda/gcc .
I had the same issue with my default gcc
$ gcc --version
gcc (Ubuntu 5.4.0-6ubuntu1~16.04.4)
Hope that helps!
If you installed conda environment, use conda in your channel.
$ conda install -c https://conda.anaconda.org/kne pybox2d
Box2d will be added under python3.5/site-packages, and try code again.
import gym
env = gym.make("LunarLander-v2")
Good luck.

OpenCV not working properly with python on Linux with anaconda. Getting error that cv2.imshow() is not implemented

This is the exact error that I am getting. My OS is Ubuntu 16.10.
OpenCV Error: Unspecified error (The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script) in cvShowImage, file /feedstock_root/build_artefacts/work/opencv-3.1.0/modules/highgui/src/window.cpp, line 545
Traceback (most recent call last):
File "untitled.py", line 7, in
cv2.imshow('image',img)
cv2.error: /feedstock_root/build_artefacts/work/opencv-3.1.0/modules/highgui/src/window.cpp:545: error: (-2) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function cvShowImage
my code is:
import numpy as np
import cv2
# Load an color image in grayscale
img = cv2.imread('0002.png',0)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
0002.png is an image in the same directory as the program.
I first installed anaconda with python 3.5, then I installed opencv by using the command
conda install -c conda-forge opencv
I installed libgtk2.0-dev just as the error said to but I still get the same error.
Any help would be much appreciated. I've been trying to solve this for several hours.
1.The easiest way:
conda remove opencv
conda update conda
conda install --channel menpo opencv
or (for OpenCV 3.1) :
conda install -c menpo opencv3
2.And if u don't want to do this, you can try to use matplotlib .
import cv2
import matplotlib.pyplot as plt
img = cv2.imread('img.jpg',0)
plt.imshow(img, cmap='gray')
plt.show()
3.Or try to build library by your own with option WITH_GTK=ON , or smth like that.
Update - 18th Jun 2019
I got this error on my Ubuntu(18.04.1 LTS) system for openCV 3.4.2, as the method call to cv2.imshow was failing. I am using anaconda. Just the below 2 steps helped me resolve:
conda remove opencv
conda install -c conda-forge opencv=4.1.0
If you are using pip, you can try
pip install opencv-contrib-python
I have had to deal with this issue a couple of times, this is what has worked consistently thus far:
conda remove opencv
conda install -c menpo opencv
pip install --upgrade pip
pip install opencv-contrib-python
πŸš€ Working method (πŸ‘¨β€πŸ”¬ tested on April 19, 2019)
🐞 These error happen because of conda.
🏹 Open Anaconda Prompt and remove conda opencv if installed
πŸ‘¨β€πŸ’» conda remove opencv
πŸ“’ If you have conda env, firstly activate it conda activate <your_env_name>
⏬ After install opencv via pip (click here to offical info)
πŸ‘¨β€πŸ’» pip install opencv-contrib-python
πŸ“’ if pip haven't installed, use conda install pip command.
If you installed OpenCV using the opencv-python pip package at any point in time, be aware of the following note, taken from https://pypi.python.org/pypi/opencv-python
IMPORTANT NOTE
MacOS and Linux wheels have currently some limitations:
video related functionality is not supported (not compiled with FFmpeg)
for example cv2.imshow() will not work (not compiled with GTK+ 2.x or Carbon support)
Also note that to install from another source, first you must remove the opencv-python package
For me (Arch Linux, Anaconda with Python 3.6), installing from the suggested channels menpo or loopbio did not change anything. My solution (see related question) was to
install pkg-config (sudo pacman -Syu pkg-config),
remove opencv from the environment (conda remove opencv) and
re-install opencv from the conda-forge channel (conda install -c conda-forge opencv)
conda list now returns opencv 3.3.0 py36_blas_openblas_203 [blas_openblas] conda-forgeand all windows launched using cv2 are working fine.
I followed this tutorial (OpenCV GTK+2.x error) and did the following. It worked for me :
install the packages : libgtk2.0-dev and pkg-config
cd to your opencv directory
mkdir Release
cd Release
Run the command : cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_GTK=ON -D WITH_OPENGL=ON ..
make
sudo make install
Notice that it is complaining for libgtk2.0-dev and pkg-config. Here is the solution. Uninstall your existing openCV installation.
conda remove opencv3
Install these packages before installing opencv-
conda install gtk2 pkg-config
Now install opencv from menpo
conda install -c https://conda.anaconda.org/menpo opencv3
If you are running inside docker then you may get this error.Solution uninstall current and install the headless one
pip install opencv-python==3.4.5.20
pip install opencv-contrib-python==3.4.5.20
If you are writing to the image and displaying it, you may need the following
apt-get update && apt-get install -y libglib2.0-0 libsm6 libxext6 libxrender1
And if you are wondering how to get the display from Docker, it is possible via X11 in your host
My ubuntu 18.04 machine is running at AWS.
What helped me was (link):
pip uninstall opencv-python
pip install opencv-python==4.1.2.30
Afterwards I got the error: " : cannot connect to X server "
Finally, I managed to make it work by installing MobaXTerm (reference here).
FYI:
I connect to AWS with WinSCP. If you connect to AWS via something like WinSCP, the MobaXTerm interface lets you connect to the "WinSCP temporary session" if you click at "Sessions", which is very convenient. The session screen basically replaces the console but allows to display the image via a pop-up window.
In case you also experience the error ASSERT: β€œfalse” in file qasciikey.cpp, line 501 once cv.imshow() or similar is executed, go to the MobaXTerm interface, click Settings -> Configuration -> X11, uncheck "Unix-compatible keyboard" (reference here).
I used pip to install opencv-python. (https://pypi.org/project/opencv-python/)
1) Remove the opencv package from conda:
>> conda remove opencv
2) To your env.yml file add this:
...
dependencies:
- numpy
- pytest
...
- pip:
- opencv-python
Remove opencv from anaconda=
conda remove opencv
Then, reinstall opencv using pip:
pip install opencv
This is working for me.
My Envirment is Win10, and I added the anaconda path to the environment variables's PATH’,the cv2.imshow worked
C:\Users\user\Anaconda3
C:\Users\user\Anaconda3\Scripts
Then restart the windows
Although this is already answered, for me conda-forge solution worked with a hack.
My workstation is a centos 6 machine, and I use conda virtual environment (anaconda 2). Create an environment
conda create --name test python=2.7
and then activate it
conda activate test
Now install opencv from conda-forge
conda install -c conda-forge opencv
Now install matplotlib in this environment (and this is hack 1)
conda install matplotlib
Let's check now imshow works or not. In a terminal, activate test environment and start python. In the interpreter, do
import cv2
import matplotlib.pyplot as plt # hack 2
img = cv2.imread('your_image_file',0)
cv2.imshow('image',img)
This should pop up a window showing image. I did not further research how this solved the case.
Note 1: You may see some error related to xkb, then in your .bashrc file add
export QT_XKB_CONFIG_ROOT=/usr/share/X11/xkb
Note 2: You may see some error related to XDG_RUNTIME_DIR, then in your .bashrc file also add
export XDG_RUNTIME_DIR=.tmp/myruntime
and define myruntime by mkdir -p .tmp/myruntime
For my system (Ubuntu 18.04) the following was working.
First:
sudo apt-get update -y
sudo apt-get install -y libgtk2.0-dev
conda create -n py35 python=3.5
conda activate py35
Then configure the environment
pip install Cython
pip install scikit-build
conda install -c anaconda cmake
pip install dlib
pip install face_recognition
pip install imutils
And finally:
pip install opencv-contrib-python
Easy with Ubuntu 18.04. It works for me:
Remove opencv-python:
pip3 uninstall opencv-python
And then re-install opencv-python:
pip3 install opencv-python
Issue was resolved.
I was able to fix it by installing a previous version of opencv-contrib-python.
I'm using Ubuntu 18

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