Jupiter notebook python opencv

How to install opencv library in jupyter notebook

Computer vision include understanding and analyzing digital images by the computer and process the images or provide relevant data after analyzing the image. Python is one of the major languages that can be used to process images or videos.

How to import openCV on Jupyter notebook?

Install a pip package in the current Jupyter kernel

I’ve run into similar issues and this article helped me out. You can try installing it from within the Jupyter Notbeook Kernel.

import sys ! -m pip install opencv-python 

try pip3 install opencv-python

also try pip3 install opencv-python== to see all the available versions

OpenCV installation in Anaconda on Windows 11 and windows 10, OpenCV #python In this video on OpenCV Python Tutorial For Beginners, I am going to show How Duration: 3:31

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How to install and import OpenCV in jupyter notebook

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Set up Opencv with anaconda environment

If you love working on image processing and video analysis using python then you have come to the right place. Python is one of the major languages that can be used to process images or videos.

Requirements for OpenCV and Anaconda

1. – 32- or a 64-bit computer.
2. – For Miniconda—400 MB disk space.
3. – For Anaconda—A minimum 3 GB disk space to download and install.
4. – Windows, macOS or Linux.
5. – Python 2.7, 3.4, 3.5 or 3.6.

ANACONDA

Anaconda is open-source software that contains jupyter, spyder etc that are used for large data processing, data analytics, and heavy scientific computing. Anaconda works for R and python programming languages. Spyder(sub-application of Anaconda) is used for python. Opencv for python will work in spyder. Package versions are managed by the package management system conda.

Installing Anaconda : Head over to continuum.io/downloads/ and install the latest version of Anaconda. Make sure to install the “Python 3.6 Version” for the appropriate architecture. Install it with the default settings.

OPENCV

OpenCV (Open Source Computer Vision) is a computer vision library that contains various functions to perform operations on pictures or videos. It was originally developed by Intel but was later maintained by Willow Garage and is now maintained by Itseez. This library is cross-platform that is it is available in multiple programming languages such as Python, C++ etc.

Steps to import OpenCV on anaconda in windows environmentMinimum

Creating Anaconda Environment :

Step 1:- Search Anaconda in your taskbar and select ANACONDA NAVIGATOR.

Step 2:- Now you will see a menu with various options like Jupiter notebook , Spyder etc. This is Anaconda Environment.
Step 3:- Select Spyder as it is Anaconda’s IDE for python and OpenCV library will work in it only.

Install OpenCV

Step 1:- After installing the anaconda open the Anaconda Prompt.

Step 2:- Type the given command, press enter, and let it download the whole package.

conda install -c menpo opencv

Step 3:- Now simply import OpenCV in your python program in which you want to use image processing functions.

Examples: Some basic functions of the OpenCV library (These functions are performed on Windows flavor of Anaconda but it will work on linux flavor too)

Reading an image

img = cv2.imread('LOCATION OF THE IMAGE')

The above function imread stores the image at the given location to the variable img.

Converting an image to greyscale

img = cv2.imread('watch.jpg',cv2.IMREAD_GRAYSCALE)

The above function converts the image to grayscale and then stores it in the variable img.

Showing the stored image

The above function shows the image stored in img variable.

Save an image to a file

The above function stores the image in the file. The image is stored in the variable of type Mat that is in the form of a matrix.

Reading video directly from the webcam

Stores live video from your webcam in the variable cap.

Reading a video from local storage

cap = cv2.VideoCapture('LOCATION OF THE VIDEO')

Stores the video located in the given location to the variable.

To check if the video is successfully stored in the variable

cap is the variable that contains the video. The above function returns true if the video is successfully opened else returns false.

Release the stored video after processing is done

The above function releases the video stored in cap.

How to install Opencv on Anaconda, This helps you to install Opencv on Anaconda(python 3.7.1) on windows 10 os .command:conda Duration: 3:20

How to install OpenCV in Python?

OpenCV is a Python library that is used to solve computer vision problems. Computer vision include understanding and analyzing digital images by the computer and process the images or provide relevant data after analyzing the image.

OpenCV is an open-source library used in machine learning and image processing.It performs tasks such as recognizing handwritten digits, human faces and objects.

To use OpenCV, we need to install it.

Step 1 − Make sure Python and pip is preinstalled on your system

Type the following commands in command prompt to check is python and pip is installed on your system.

To check Python

If python is successfully installed, the version of python installed on your system will be displayed.

To check pip

The version of pip will be displayed, if it is successfully installed on your system.

Step 2 − Install OpenCV

OpenCV can be installed using pip. The following command is run in the command prompt to install OpenCV.

This command will start downloading and installing packages related to the OpenCV library. Once done, the message of successful installation will be displayed.

How to install and import OpenCV in jupyter notebook, How to install and import OpenCV in jupyter notebookinstalling opencv,install opencv,pip Duration: 1:46

Cv2 import error on Jupyter notebook

Is your python path looking in the right place? Check where python is looking for the module. Within the notebook try:

Is the cv2 module located in any of those directories? If not your path is looking in the wrong place. If it is overlooking the install location, append it to your python path. You can follow the instructions here.

I didn’t have the openCV installation in my Python3 kernel, so I installed it by activating the specific environment and running this in the command prompt:

How to find and activate my environment?

To list all of Your conda environments, run this command:

You will get something like this:

ipykernel_py2 D:\Anaconda\envs\ipykernel_py2 root D:\Anaconda 

After that, activate the environment that is complaining for the missing cv2 and run the pip install opencv-python command.

How to activate an environment?

where env_name is the wanted environment (for example, You could type activate ipykernel_py2 if You wanted to access the first of the two environments listed above).

Note: If You are on Linux, You need to type source activate env_name .

Go to your notebook, in menu section

kernel -> Change kernel -> Python

Now in the notebook run following command to install opencv2 in the selected environment kernel

!pip3 install opencv-python

Install opencv python anaconda jupyter Code Example, how to install opencv in jupyter notebook windows ; 1. py -m pip install opencv-python ; 2. ​.

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Установка OpenCV-Python на виртуальной среде для суперчайников

Здесь вы найдете пошаговый пример установки библиотеки OpenCV на Python.

• Установка Python
• Установка виртуальной среды
• Установка OpenCV + jupiterlab, numpy, matplotlib
• Тестирование

Все тестировала на планшете Microsoft Surface, Windows 10 Pro, c 64-битной операционной системой.

Предположим, что на вашем устройстве ничего не установлено заранее.

1. Сначала установим Python.
   Скачиваем нужную версию и запускаем .exe файл. Не забываем установить галочку add path. Я установила Python 3.7.3 от 25 марта 2019 г., потому что новая на данный момент версия Python 3.7.4 от 8го июля 2019 г. работала некорректно, а именно в терминале некоторые команды зависали. Открываем командную строку.
2. Устанавливаем virtualenv.
   Виртуальная среда нам нужна для того, чтобы для каждого отдельного проекта была своя «комната» со своими версиями установленных библиотек, которые не будут зависеть от других проектов и путаться между собой.
   Пакеты будем устанавливать с помощью pip. Он в последнее время сразу идет с Python, но обычно требуется его обновить командой:
   python -m pip install —upgrade pip
   Обновили pip, теперь установим виртуальную среду:
   pip install virtualenv
   Командой cd перейдите в папку, в которой хотите создать среду и введите команду:
   mkdir opencvtutorial_env — так мы создали среду с названием opencvtutorial_env.
   Далее вводим команду virtualenv opencvtutorial_env и для активации перейдите в папку среды и далее с помощью Tab до activate.
   .\opencvtutorial_env\Scripts\activate
3. Установим библиотеки OpenCV-Python, Numpy и Matplotlib, которые понадобятся для тестирования функций opencv.
   Самый легкий и быстрый вариант установки у меня получился с неофициальной версии. Устанавливаем его командой:
   pip install opencv-python
   Вместе с opencv-python в подарок с этим пакетом идет numpy. Дополнительно установим matplotlib: pip install matplotlib .
4. Установим pip install jupyterlab и запустим его командой jupyter notebook .
   Теперь осталось проверить все ли у нас работает. В открывшемся окне создаем новый Python 3 файл, и запускаем команду:
   import cv2 as cv
   print( cv.__version__ )
   Если выходит версия opencv, то поздравляю, можно тестировать туториалы c официального сайта. Мои примеры работ по туториалам можно найти здесь.

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