Error: No module named '2_pybind11_state' Now python -c 'from caffe2.python import core' 2>/dev/null & echo "Success" || echo "Failure"ĬRITICAL:root:Cannot load caffe2.python.
Beyeler:Ĭategories C# Charts C++11 Regex Scheme Multithreading Posix Books C++ C++14 C++17 OSX Python Objective-C Windows Clang Fortran CUDA Roguelike Perlin Cling C++20 Linux WSL Fractals OpenGL JavaScript OpenCV BeagleBone Productivity Raspberry Pi OpenMP iOS Node.We like to limit our issues to bug reports and feature requests. If you want to learn more about OpenCV and Python, I would recommend reading OpenCV with Python Blueprints by M. The book is intended for beginners, but has a nice Data Visualization intro to Matplotlib chapter: If you want to learn more about Python and Matplotlib, I recommend reading Python Crash Course by Eric Matthes. (You can close the two windows by pressing ESC!) imshow ( "Over the Clouds - gray", gray ) 11 12 cv2. imshow ( "Over the Clouds", img ) 10 cv2. In the same folder where you’ve saved the above image, create a new file test_1.py and write the next code: 1 import cv2 2 3 print ( "OpenCV version:" ) 4 print ( cv2. We can also write a small test program that will print the OpenCV version, load an image from the disk, convert the image to gray and show the result.
You should see something like in the next figure:
Save the above code as test_0.py and run it with: 1 python test_0.py We can test ScipPy and Matplotlib, by writing a short test program: 1 import scipy as sp 2 import matplotlib.pylab as plt 3 4 t = sp. Otherwise, you will get a ModuleNotFounrError error because we’ve installed the libraries in a virtual environment. The above will install OpenCV 4.1 or newer on your environment.įrom now on, when you want to be able to use any of the above libraries (NumPy, SciPy, Matplotlib, OpenCV) you will need to make sure that the work3.7 is activated by using the above source … command. If you need OpenCV, you can install it with: 1 pip install opencv-python Now, let’s install NumPy, SciPy and Matplotlib in the above environment: 1 pip install numpy scipy matplotlib In other words, inside a Python 3.7 environment you don’t need to use pyhton3.7, using python will invoke the Python 3.7 interpreter. When you are in an activated environment you can simply use python and pip to invoke the Python interpreter and the package manager. You can also deactivate an environment by using the deactivate command. If you close your Terminal or restart your machine, the environment is deactivated.
When an environment is activated the shell prompt is temporarily changed to show the name of the active environment. In order to be able to use the virtual environment, you’ll need to activate it: 1 source work3.7/bin/activate
The above command will create a new folder named work3.7 in which you will have a fresh Python 3.7 virtual environment. Let’s follow best practices and create a virtual environment in which we will install NumPy, SciPy and Matplotlib: 1 python3.7 -m venv work3.7 So, use python3.7 when you want to use the latest version. Please note that python3 will invoke the default system Python which is 3.6. Let’s install the 3.7 version, this will be installed separately and won’t mess up your default Python version: 1 sudo apt install python3.7 python3.7-dev python3.7-venvĪt this point, you can invoke the newly installed Python 3.7 with: 1 python3.7 Fortunately, Ubuntu 18.04 also provides Python 3.7.3 as a separate install. The problem with the default Python installation is that it is a bit old. The above command will install support for using virtual environments, the pip3 package manager that can be used to install various libraries and Tkinter support for GUI programming with Python. Let’s install some of these in order to make our Python system more complete: 1 sudo apt install python3-venv python3-pip python3-tk On Ubuntu, the default Python 3 installation is split into a number of separate packages.