Related
This error raised while installing geopandas. I've looking for its solution on the web, but none of them really explain what happened and how to solve it..
This is the full error:
Collecting geopandas
Using cached https://files.pythonhosted.org/packages/24/11/d77c157c16909bd77557d00798b05a5b6615ed60acb5900fbe6a65d35e93/geopandas-0.4.0-py2.py3-none-any.whl
Requirement already satisfied: shapely in c:\users\alvaro\anaconda3\envs\tfdeeplearning\lib\site-packages (from geopandas) (1.6.4.post2)
Requirement already satisfied: pandas in c:\users\alvaro\anaconda3\envs\tfdeeplearning\lib\site-packages (from geopandas) (0.20.3)
Collecting fiona (from geopandas)
Using cached https://files.pythonhosted.org/packages/3a/16/84960540e9fce61d767fd2f0f1d95f4c63e99ab5d8fddc308e8b51b059b8/Fiona-1.8.4.tar.gz
Complete output from command python setup.py egg_info:
A GDAL API version must be specified. Provide a path to gdal-config using a GDAL_CONFIG environment variable or use a GDAL_VERSION environment variable.
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in C:\Users\Alvaro\AppData\Local\Temp\pip-install-oxgkjg8l\fiona\
pip install wheel
pip install pipwin
pipwin install numpy
pipwin install pandas
pipwin install shapely
pipwin install gdal
pipwin install fiona
pipwin install pyproj
pipwin install six
pipwin install rtree
pipwin install geopandas
here are the source links:
http://geopandas.org/install.html#installation
https://pip.pypa.io/en/latest/user_guide/#installing-from-wheels
https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
If you still have problems, consider uninstalling the above (pip uninstall) and reinstalling.
I solved this problem by running the following commands:
pip install pipwin
pipwin install gdal
pipwin install fiona
pip install geopandas
Works successfully on Windows.
Geospatial Data Abstraction Library (GDAL) is a library designed for vector geospatial data formats. It's a prerequisite for installing Fiona, the Python API for OGR (which doesn't really stand for anything), which is in turn a prerequisite for Geopandas. On UNIX-like systems the gdal-config script tells Fiona stuff about your particular gdal installation.
It seems that your gdal-config is not in one of the usual places on your PATH, so Fiona was unable to find it.
If you're using Anaconda, best is to remove gdal with conda remove gdal and then do a fresh conda install geopandas.
As a general rule, if you're using Conda you should never use pip to install something inside it unless you're absolutely sure conda offers no support for it. (Many package can be found on conda by specifying the right channel - -c argument.) And specifically in the case of geopandas, the maintainers recommend using conda over pip, since pip requires you to install the dependencies correctly.
I had a lot of issues myself installing geopandas, mostly showing error when downloading fiona and gdal. I did every step above and did a conda install geopandas but failed. The only thing worked for me is to install fiona and gdal wheel separately.
go to the link by Christoph: gohlke:https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona
You can search for fiona and gdal wheel files. Make sure you choose the file as per your python version, if it is 3.7 then there would be cp37.
Download the file
go to command prompt, put cd and then pip install , install GDAL wheel file, then fiona, then just do pip install geopandas.
This solution worked for me.
To install gdal, I followed the following steps:
downloaded the version that satisfies my computer (64 bit) from
https://www.lfd.uci.edu/~gohlke/pythonlibs/ . The file was GDAL-3.1.4-cp37-cp37m-win_amd64.whl
Put the file in a folder on the desktop.
From cmd, i moved to that directory and executed python -m pip install GDAL-3.1.4-cp37-cp37m-win_amd64.whl
This is followed by installing fiona the same way: python -m pip install Fiona-1.8.18-cp37-cp37m-win_amd64.whl
For shapely, i executed conda install -c conda-forge shapely
After that, i was able to install keplergl as usual: pip install keplergl
install descartes: conda install -c conda-forge descartes (or python -m pip install descartes).
In this way, i didn't have to play around with the 'Environmental Variables' as this may affect other programs
Cheers..
Installing geopandas
Geopandas has very complex multi-language dependencies, some of which need to be built with consistent compiler versions across packages. Because of this, the geopandas docs recommend installing using conda in a new environment using conda-forge only. Here are some general best practices to keep in mind:
conda is the recommended installation method. You can install geopandas from pip or source, but it's going to be a bumpy ride and it's not recommended. If you're installing conda for the first time, I recommend you start with miniconda (or better yet miniforge, a conda-forge-first miniconda variant), not anaconda, to keep your base env lean.
When using conda, you should not mix and match conda channels.
When installing geopandas, try creating a fresh environment rather than installing into your base environment. If you have anaconda installed, it comes with a large number of packages from the "defaults" channel installed in your base environment. I recommend deleting anaconda and installing miniconda, then installing into a new environment.
Try to create a new environment with everything you plan to use all at once rather than iteratively modifying the environment. In other words, if you want to use geopandas with scikit_learn, folium, and rasterio, install them together with a single conda create command
As a last resort, delete your conda installation and re-install miniconda. Desperate times call for desperate measures, and this usually resolves gnarly installation nightmares.
To create a fresh conda environment in which you install all necessary dependencies at the same time, using the conda-forge channel:
conda create -n my-geopandas-env -c conda-forge geopandas [all other packages you need]
For example, I might set up an environment with something along the lines of...
conda create -n my-geopandas-env -c conda-forge python=3.9 \
ipython ipykernel geopandas scipy seaborn fiona matplotlib cartopy
Bundling your installations into a single environment creation step like this reduces the chance of packages falling out of sync. To speed this process up, you could first install mamba or mambaforge, a faster drop-in replacement for conda, into your base environment and then run the above commands with mamba instead of conda.
Generally, it's best to avoid installing much of anything in your base environment (cross-environment system utilities like mamba are some of the few exceptions). If you already have a complex base environment (maybe you started with anaconda rather than miniconda) this may be the time to delete your entire conda installation and start from scratch (I know that's terrifying... sorry! but it'll save you heartache in the future). mamba is great for speeding this process up.
Connecting your editor to the conda environment
Once you have installed all of the packages you need, activate your environment with conda activate my-geopandas-env. See the conda guide to managing environments for more info.
Jupyter/ipython
Some editors/IDEs including jupyter require additional packages - jupyter requires that ipython and ipykernel be installed in order to load the environment within the notebook or editor - that's why I included ipykernel in my list above. See the ipykernel docs for more info.
Other IDES
To link this environment to an IDE such as VSCODE, spider, etc., find the location of this python version with conda run -n my-geopandas-env which python then point your editor to this python executable. Check the docs of your specific editor to get more targeted info about how to set up a conda environment for use with your editor:
Spider: FAQ on using an existing environment and Spider wiki guide to working with packages and environments
VSCode: Using python environments in vscode
PyCharm: Configure a conda virtual environment
I don't have conda installed, then using just pip I followed these steps:
Download GDAL and Fiona wheels directly on:
GDAL: https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
FIONA: https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona
Then:
pip install <gdal.whl>
pip install <fiona.whl>
In my case I did pip install GDAL-3.4.1-cp38-cp38-win_amd64.whl and Fiona-1.8.21-cp38-cp38-win_amd64.whl. Where cp38 stands for python 3.8.
After that you are able to install geopandas with pip as well.
pip install geo pandas
For me, the only solution was to install the ready binaries from here
https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
Then just install locally
pip install GDAL-3.1.4-cp38-cp38-win_amd64.whl
One way in which I could install geopandas was through the Anaconda Navigator. Get into the environment and install the package 'geopandas'. After that I could import the geopandas package in spyder
I will add
!pip install descartes
to #JDOaktown list.
I started with pip install geopandas and got the error, but later tried with conda install --channel conda-forge geopandas and the error disappeared.
Successfully installed in RHEL 7.8.
It automatically downloaded the required packages. This might be helpful
Installing collected packages: certifi, pyproj, shapely, attrs, click, click-plugins, munch, cligj, fiona, geopandas
Successfully installed attrs-20.3.0 certifi-2020.11.8 click-7.1.2 click-plugins-1.1.1 cligj-0.7.0 fiona-1.8.17 geopandas-0.8.1 munch-2.5.0 pyproj-3.0.0.post1 shapely-1.7.1
If you want to install GDAL, Geopandas, Shapely, Fiona etc in a windows Virtual Environment download .whl files for all of them and first install GDAL using
pip install gdal-.whl
Following this command edit the activate.bat file in you venv\Scripts folder and add
GDAL_CONFIG = \venv\Lib\site-packages\osgeo
Then you can install rest using pip install
I started off with a clean environment gdal_test in Conda environments, but made the mistake of using the old activate gdal_test instead of conda activate gdal_test. This made Conda Environment resolving take forever, which is why I resolved to other methods at first.
Takeaway: let conda handle it, with a proper new environment.
I ran into this problem not with anaconda/windows, but with python:3.6 Docker image. Google search always led me to this question, so I think I will share how I resolve my issue in case others also end up here.
Based on here, you need to install system relevant packages in the Dockerfile before running pip install geopandas or pip install requirements.txt:
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
libatlas-base-dev \
libgdal-dev \
gfortran
The following worked on macOS:
brew install gdal --HEAD
Verify the installation by running gdal-config --version
Following that pip installation as normal worked without a problem.
I am trying to install the "sparse_dot_topn" package in Alibaba Cloud ECS instance. Firstly I tried to install it through the Anaconda installer.
conda install sparse_dot_topn
It throws like there is no package available
So I tried to install via pip
Pip install spare_dot_topn
But it throws me the following error
What am I missing? Please leave your suggestions
sparse_dot_topn requires Cython, try installing it this way:
pip install cython
pip install git+https://github.com/ing-bank/sparse_dot_topn.git
I have tried it first with pip install and failed. Then I tried within Anaconda terminal with the following comment and it was succesfull.
conda install -c conda-forge sparse_dot_topn
My build keeps failing on windows 10 for installing fbprophet in anaconda with the following message:
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::automat-0.7.0-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\bharat.c.ruparel\AppData\Local\Continuum\anaconda3\Scripts\conda.exe
the command that is given is:
conda install -c conda-forge fbprophet
Has anyone successfully installed fbprophet on Windows 10? If yes, then please give the steps.
Thanks.
I tried pip install as well but no luck. I have a Mac and managed to install fbprophet on it without any issues.
First install Anaconda or miniconda in your Windows machine and add conda python path to env variable as default python.
Open your command prompt and run following commands.
Create a conda virtual environment (optional)
conda create -n v-env python=3.7
activate v-env
Install c++ complier
conda install libpython m2w64-toolchain -c msys2
libpython will automatically create and setup distutils.cfg file for you in PYTHONPATH\Lib\distutils, but if that is failed use the following instructions to setup it manually
[OPTIONAL]
create distutils.cfg with text editor (e.g. notepad, notepad++) and add the following lines to that file.
[build]
compiler=mingw32
Install dependencies
conda install numpy cython -c conda-forge
conda install matplotlib scipy pandas -c conda-forge
Install PyStan
pip install pystan
or
conda install pystan -c conda-forge
Install Ephem
conda install -c anaconda ephem
Install fbprophet
pip install fbprophet
or
conda install -c conda-forge fbprophet
I also faced installing facebook prophet issue in windows 10 without conda.
But,we can solve it.
First, uninstall any pystan, fbprophet.
Then follow the steps below,
python.exe -m pip install pystan==2.17.1.0
python.exe -m pip install fbprophet==0.6
python.exe -m pip install --upgrade fbprophet
Thanks,
tsj
Updated: 28 July 2022
As of v1.0, the package name on PyPI is "prophet"; prior to v1.0 it was "fbprophet". fbprophet is now just prophet. A few additional considerations:
From v0.6 onwards, Python 2 is no longer supported.
As of v1.1, the minimum supported Python version is 3.7.
Below one will find how to
Install with PyPI
Install with Anaconda
Install the Development version
1. Istallation in Python using PyPI
Prophet is on PyPI, so one can use pip to install it.
python -m pip install prophet
2. Installation in Python using Anaconda
One might have to access Anaconda Prompt for the environment that one is working with as admin:
And run
conda-forge: conda install -c conda-forge prophet
Or
conda install -c conda-forge prophet -y
3. Development version
To get the latest code changes as they are merged, one can clone this repo and build from source manually. This is not guaranteed to be stable.
git clone https://github.com/facebook/prophet.git
cd prophet/python
python -m pip install -r requirements.txt
python setup.py develop
By default, Prophet will use a fixed version of cmdstan (downloading and installing it if necessary) to compile the model executables. If this is undesired and one would like to use one's existing cmdstan installation, one can set the environment variable PROPHET_REPACKAGE_CMDSTAN to False:
export PROPHET_REPACKAGE_CMDSTAN=False;
Sources
https://facebook.github.io/prophet/docs/installation.html
https://github.com/facebook/prophet
I've had the same problem. But it works after I follow this steps:
On Prompt install Ephem:
conda install -c anaconda ephem
Install Pystan:
conda install -c conda-forge pystan
Finally install Fbprophet
conda install -c conda-forge fbprophet
Latest installation code for 2021:
pip install pystan==2.19.1.1, then pip install prophet
Also, reboot your jupyter notebook after installation
Install without Conda, Win 10, Python 3.8.8 64 bit.
pip3 install Cython
Then install:
Reboot your maching
Install
pip3 install pystan==2.17.1.0
pip3 install fbprophet
Here's my solution. I have not use conda-forge before, so reading up on this article helps.
Making sure that conda is ≥4.9
conda --version
add conda forge channel
conda config --add channels conda-forge
conda --set channel_priority strict
install gcc
conda install gcc
install prophet
conda install -c conda-forge prophet
I used the prophet documentation here
I faced the same issue and my solution was to:-
Create a new environment with Python3.5
conda create -n pht python=3.5 anaconda
Install Prophet using the command.
conda install -c conda-forge fbprophet
I didn't install 'gcc' although this was advised before installing Prophet.
I am using Python 3.8.5 and conda 4.10.1 on a Windows 10 machine.
I was able to install prophet in Anaconda 2.0.1 using command prompt (not as admin), using: conda install -c conda-forge fbprophet
It took some time for it to figure out the details, as you can see from the prompts below, but finally it was able to install the package.
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done
I tried installing mayavi on Colab using pip:
!pip install mayavi
This threw the following error:
Running setup.py bdist_wheel for mayavi ... error
The rest of the error output is available at the Colab document.
Solution: Work in Progress
Following the response from #Bob-Smith, I found that his solution needed a slight change for installing the dependencies:
!apt-get install vtk6
!apt-get install libvtk6-dev python-vtk6
Problems Faced and Workaround Found (PFWF)
PFWF-001 !apt-get install python-vtk throws the following error:
Package 'python-vtk' has no installation candidate
I found a command-reference for this:
!apt-get install libvtk5-dev python-vtk
However, this command also did not work. The package name had changed from libvtk5-dev to libvtk6-dev and the python binding for VTK has changed from python-vtk to python-vtk6. Clearly this kind of change will continue to happen in future and you may need to check the package name and the python binding for VTK before running the following statement:
!apt-get install libvtk6-dev python-vtk6
Note: If you are here looking to solve VTK installation problems for python and this does not solve that you may want to look here: installing-vtk-for-python
Installing mayavi still throws error:
Although the two steps above install the dependencies, the last line: !pip install mayavi spits out the following error:
Could not connect to any X display.
The latest progress on Mayavi installation can be found here.
https://colab.research.google.com/drive/1K_VIP9izNLKalD_IgBSiTowyNkU7aWcW
You'll first need to install deps. Run
!apt-get install vtk6
!apt-get install python-vtk
!pip install mayavi
If you've attempted to import myavi before installing the deps, you may need to restart you runtime before executing the !pip install myavi command using the Runtime -> Restart runtime menu.
I was trying to do the same thing and I was getting error like this. So I tried install vtk package with conda. You need conda to install vtk of course so:
!wget -c https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh
!chmod +x Miniconda3-4.5.4-Linux-x86_64.sh
!bash ./Miniconda3-4.5.4-Linux-x86_64.sh -b -f -p /usr/local
!conda install -q -y --prefix /usr/local python=3.6 ujson
import sys
sys.path.append('/usr/local/lib/python3.6/site-packages')
import ujson
print(ujson.dumps({1:2}))
!conda --version
Then set up vtk package with conda as:
!apt-get install vtk6
!conda install -c anaconda vtk
I was trying to install mayavi for mne package so:
!conda activate mne
!conda install gxx_linux-64=7.3
!pip install https://api.github.com/repos/enthought/mayavi/zipball/226189a6ad3dc3c01d031ef21d0d0cde554ac851
Be careful because you need to mne package to activate so before installing mayavi (I was trying to install mne as I said before):
!pip install mne
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
🚀 Working method (👨🔬 tested on April 19, 2019)
🐞 These error happen because of conda.
🏹 Open Anaconda Prompt and remove conda opencv if installed
👨💻 conda remove opencv
📢 If you have conda env, firstly activate it conda activate <your_env_name>
⏬ After install opencv via pip (click here to offical info)
👨💻 pip install opencv-contrib-python
📢 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: “false” 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