When I try to install geoplot in either my Linux box or windows box the terminal either gets hung up or I get an error: unable to determine GEOS version . I checked geos version in anaconda and it states I have GEOS 3.8.
I've tried both pip install geoplot and the line provided on the conda-forge site for geoplot conda install -c conda-forge geoplotlib .
I've searched for a solution for the past couple hours, but no avail.
This is a frequent issue faced by most of the developers trying to install GEOS, Cartopy and Proj.
It happens to be that there are certain packages that need to exist before installing GEOS or Cartopy. A quick look at your screenshot of the error, you can try out the following...
sudo apt-get install libproj-dev proj-data proj-bin
sudo apt-get install libgeos-dev
sudo pip install cython
sudo pip install cartopy
sudo apt install python3-dev
An alternative solution in case above does not work for you, the reason could be of a mixed channel problem in Anaconda, to resolve that, issue following commands as root (admin)
conda config --set channel_priority strict
edit the ~/.condarc file which will look like this after the edit:
channel_priority: strict
channels:
- conda-forge
- defaults
Use the root user to install it because it will have to access places where your standard user does not have access.
conda install geoplot -c conda-forge
I suffered with the same issue, but was able to resolve it by creating a geo_env (https://geopandas.org/en/stable/getting_started/install.html) and then running conda install geoplot -c conda-forge
I'm working on a cheminformatics project that requires quite a few packages to complete. I'm working in Google Colab.
TLDR
Google Colab throws error NameError: name 'XLMProphetNetTokenizer' is not defined even though I explicitly load the relevant package with !pip install transformers.
Long Explanation
To complete my project, I require packages such as RDKit, Moleculekit from Acellera, and the NLP tool allennlp. Google Colab seemed to have issues loading the cheminformatics package RDKit so I had to install using conda. I used !pip install for the rest of the packages. Code as follows:
# Installing RDKit
!wget -c https://repo.continuum.io/miniconda/Miniconda3-py37_4.8.3-Linux-x86_64.sh
!chmod +x Miniconda3-py37_4.8.3-Linux-x86_64.sh
!time bash ./Miniconda3-py37_4.8.3-Linux-x86_64.sh -b -f -p /usr/local
!time conda install -q -y -c conda-forge rdkit
import sys
sys.path.append('/usr/local/lib/python3.7/site-packages/')
!apt-get install python-rdkit librdkit1 rdkit-data -qq
# Installing ProphetNet Packages (Needed for ElmoEmbedder)
!pip install transformers
# Installing Moleculekit
!pip install moleculekit
# Installing AllenNLP
!pip install allennlp
However, when I call from allennlp.commands.elmo import ElmoEmbedder, Google Colab throws the following error: NameError: name 'XLMProphetNetTokenizer' is not defined
Looking on the following link, https://huggingface.co/transformers/master/model_doc/xlmprophetnet.html, it seems that I should be able to load the relavent XLMProphetNetTokenizer by using !pip install transformers. I'm not sure why it still throws the error. Regardless, would appreciate any help.
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
I'm trying to install Dlib in anaconda python with this line:
conda install -c menpo dlib
and I'm getting error like this:
UnsatisfiableError: The following specifications were found to be in conflict:
- dlib
- xlwt
Use "conda info <package>" to see the dependencies for each package.
How can I solve this problem?
Path of core-meta: C/users/{xxx}/anaconda3/core-meta
Delete core-meta then run the following commands:
Conda update --all
Conda install dlib
These commands require an internet connection so keep wifi on during the command running process.
Here xxx is the username on your computer.
If you do not need the xlwt-package for your project, just create a new conda environment and install the dlip package locally in that environment.
you can also try following:
brew install cmake
brew install boost
then create a virtual environment using conda command
conda create -n dlib python=3.6 anaconda
Activate the environment
source activate dlib
run the following command
conda install pip
and finally install dlib using below command
pip install dlib
This worked for me.
For anaconda or miniconda3, please see the following installation procedures. It will comply with Python 3.7 in this way.
1.Install cmake with git
$ sudo apt-get install git cmake
2. Enter into the the directory
Please change user to your own username
$ cd /home/user/dlib
3. Compile dlib
$ python setup.py install
If meeting with the issue that you could not put the import statements of setuptools behind the import statement of distutils, please change the placement oder in setup.py in the directory of dlib.
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
from distutils import log
from distutils.version import LooseVersion
4. Run the dlib unit test suite in the current working directory
Please note there is a sub-directory of dlib inlcuded in the directory of dlib.
$ cd dlib/test
$ mkdir build
$ cd build
$ cmake ..
$ cmake --build . --config Release
$./dtest --runall
Cheers.
on mac system :
you have to do it via brew
brew install cmake
brew install boost
brew install boost-python --with-python3
After installing above packages if you need you can create your environment and proceed with dlib installation or you can simply run next step.
The dlib library doesn’t have any real Python prerequisites, but if you plan on using dlib for any type of computer vision or image processing, These are few libraries which you can install for dlib :
* NumPy
* SciPy
* scikit-image
pip install numpy
5 pip install Scipy
pip install scikit-image
pip install dlib
you can check for more details on this link:
https://www.pyimagesearch.com/2017/03/27/how-to-install-dlib/
You have to try by putting just:
conda install dlib
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