Pip3 install opencv python

How to Install OpenCV for Python in Linux?

Prerequisite: Python Language Introduction OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human. When it integrated with various libraries, such as Numpy, python is capable of processing the OpenCV array structure for analysis. To Identify image patterns and its various features we use vector space and perform mathematical operations on these features. To install OpenCV, one must have Python and PIP, preinstalled on their system. To check if your system already contains Python, go through the following instructions: Open the terminal using Ctrl+Alt+T Now run the following command: For Python2

For Python3.x

If Python is already installed, it will generate a message with the Python version available. If Python is not present, go through How to install Python on Linux? and follow the instructions provided. PIP is a package management system used to install and manage software packages/libraries written in Python. These files are stored in a large “on-line repository” termed as Python Package Index (PyPI). To check if PIP is already installed on your system, just go to the terminal and execute the following command:

If PIP is not present, go through How to install PIP on Linux? and follow the instructions provided.

Downloading and Installing OpenCV:

OpenCV can be directly downloaded and installed with the use of pip (package manager). To install OpenCV, just go to the terminal and type the following command:

pip3 install opencv-python

Beginning with the installation:

• Type the command in the Terminal and proceed:
• Collecting Information and downloading data:
• Installing Packages:
• Finished Installation:

To check if OpenCV is correctly installed, just run the following commands to perform a version check:

python3 >>>import cv2 >>>print(cv2.__version__)

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How To Install OpenCV for Python?

OpenCV is a Python library used to process images which also provides computer vision and machine learning. The OpenCV is a 3rd party library where it is not provided via Python installation by default. By using OpenCV text, face, and plate recognition, extracting humans, detecting suspicious objects are very easy to implement. The OpenCV library can be installed for Python via the package managers for Linux and pip command for Linux and Windows operating systems.

Install OpenCV with pip Command for Python2

The OpenCV can be installed by using the pip command for Python2. The OpenCV package is named as opencv-python .

$ sudo pip install opencv-python

Install OpenCV with pip3 Command for Python3

The OpenCV can be also installed for Python3. The pip3 command can be used to install OpenCV for Python3. The OpenCV python package is named as opencv-python .

$ sudo pip3 install opencv-python

Upgrade OpenCV with pip Command

The already install OpenCV package can be updated by using the pip and pip3 commands. Use pip or pip3 commands with the upgrade option to update existing OpenCV installation.

$ sudo pip upgrade opencv-python $ sudo pip3 upgrade opencv-python

Install OpenCV with apt Package Manager

The OpenCV can be also installed via different package managers. For the deb based distributions like Debian, Ubuntu, Mint, or Kali the package name is python3-opencv . The apt command is used to install python3-opencv package.

$ sudo apt install python3-opencv

Upgrade OpenCV with apt Package Manager

The installed OpenCV package can be updated using the apt package manager like below. Keep in mind that the OpenCV should be installed with apt package manager previously.

$ sudo apt update $ sudo apt dist-upgrade

Importing and Using OpenCV

The OpenCV library is named as cv2 and should be imported with the same name. In the following example, we import the OpenCV library with the cv2 name and then print the OpenCV version.

import cv2 print(cv2.__version__)

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How to Install OpenCV for Python on Windows?

Prerequisite: Python Language Introduction OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human. When it integrated with various libraries, such as Numpy, python is capable of processing the OpenCV array structure for analysis. To Identify image patterns and its various features we use vector space and perform mathematical operations on these features. To install OpenCV, one must have Python and PIP, preinstalled on their system. To check if your system already contains Python, go through the following instructions: Open the Command line(search for cmd in the Run dialog( + R). Now run the following command:

If Python is already installed, it will generate a message with the Python version available. If Python is not present, go through How to install Python on Windows? and follow the instructions provided. PIP is a package management system used to install and manage software packages/libraries written in Python. These files are stored in a large “on-line repository” termed as Python Package Index (PyPI). To check if PIP is already installed on your system, just go to the command line and execute the following command:

If PIP is not present, go through How to install PIP on Windows? and follow the instructions provided.

Downloading and Installing OpenCV:

OpenCV can be directly downloaded and installed with the use of pip (package manager). To install OpenCV, just go to the command-line and type the following command:

Beginning with the installation:

• Type the command in the Terminal and proceed:
• Collecting Information and downloading data:
• Installing Packages:
• Finished Installation:

To check if OpenCV is correctly installed, just run the following commands to perform a version check:

python >>>import cv2 >>>print(cv2.__version__)

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