Python Opencv

Learn the basic image processing functions available in OpenCV through the examples provided in the blog. please give me some steps how send this material on raspberry pi and how to compile that?iam send source code through scp command. For example, you still create a transformation matrix that first centers the array of pixels to the origin and, you only use the first two rows of the transformation matrix. Problem sets will be done in Matlab or Python. Fist I install OpenCV python module and I try using with Fedora 25. OpenCV Python Documentation, Release 0. It has C++, C, and Python interfaces running on Windows, Linux, Android and Mac. OpenCV is a computer vision library that's written in C++ and had Python bindings. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts. exe, go to the folder opencv\build\python\2. The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. In this introductory tutorial, you'll learn how to simply segment an object from an image based on color in Python using OpenCV. It has C++, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. color: It is the color of border line of rectangle to be drawn. 6 is now available at PyPI, with some additional files at Extras. sudo apt-get install libopencv-dev python-opencv To begin with I struggled to find information to get me started, and there seemed to be a lot of confusing information scattered about the web. 代码运行的效率差距大吗? 3. OpenCV 3 and 4 work with Python 2. import cv2 #cv2. Hi, I am trying to use OpenCV with Python. 3 なにごと? Pythonを覚えたら、やっぱりOpenCVやりたくなるじゃないですか。 で、おもむろにOpenCVを BUILD_PYTHON_SUPPORT=ON にしてインストールし、意気揚々とPythonを起動して import c…. 22: binary only: 3. The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. So it can be easily installed in Raspberry Pi with Python and Linux environment. Let us start. So it is the time to unveil it. Perone / 26 Comments The new generation of OpenCV bindings for Python is getting better and better with the hard work of the community. Emgu CV is a cross platform. Welcome to the ultimate online course on Python for Computer Vision! This course is your best resource for learning how to use the Python programming language for Computer Vision. OpenCV-Python OpenCV-Python is a library of Python bindings designed to solve computer vision problems. 4, in this tutorial you can find line by line the code and explanations of a hand gesture recognition program written in C language; OpenCV Python hand gesture recognition – tutorial based on OpenCV software and Python language aiming to recognize the hand gestures. If you have previous/other manually installed (= not installed via pip) version of OpenCV installed (e. Erdas遥感影像处理入门实战教程(GIS思维) 第一章:课程报名须知 第一节课程报名须知 第二章:Erdas Image与遥感影像的概述. Install OpenCV 4 with Python 3 on Windows Posted on September 17, 2016 by Paul. perspectiveTransform() with Python. you should always try to take Online Classes or Online Courses rather than Udemy Python For Vision and Detection : OpenCv Python Download, as we update lots of resources every now and then. This is a short tutorial about using Tkinter, the default Python GUI library, with OpenCV. OpenCV and Python (Documentation) Sai Prashaanth. OpenCV Computer Vision with PythonA good source for installation in various OS, code examples, etc. Write Text on Image in Python. While it supports a gamut of languages like C++, Python, and more, and OpenCV-Python is an API for OpenCV to unleash the power of Python and the OpenCV C++ API at once. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. I tried conda install opencv conda install cv2 I also tried searching conda search cv No cigar. 0, the package name for the Python bindings is "cv". To test out our motion detection system using Python and OpenCV, I have created two video files. After flying this past weekend (together with Gabriel and Leandro) with Gabriel's drone (which is an handmade APM 2. The wrapper can be compiled by Visual Studio, Xamarin Studio and Unity, it can run on Windows, Linux, Mac OS X, iOS, Android and Windows Phone. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android. Una manera sencilla de instalar OpenCV sobre Python en el sistema Windows utilizando los binarios pre compilados que podemos descargar de la web, requerimos instalar Numpy ya que es una dependencia necesaria, creamos también un primer programa de ejemplo que podemos utilizar para probar la instalación. Alright, create a new Python file and follow along, let's first import OpenCV: import cv2. Finger Tracking with OpenCV and Python. For example, you still create a transformation matrix that first centers the array of pixels to the origin and, you only use the first two rows of the transformation matrix. OpenCV Python Tutorial. When working with OpenCV Python, images are stored in numpy ndarray. Please modify the code below to show the image in Fig 1. Support for multiple platforms including Windows, Linux, and MacOS. Python, OpenCVを使って画像にモザイク処理を行う。画像全体にモザイク処理 画像の一部をモザイク処理 顔検出して顔部分にモザイク処理 徐々にモザイクがかかるGIFアニメ作成 についてサンプルコードとともに説明する。. Install OpenCV 4 with Python 3 on Windows Posted on September 17, 2016 by Paul. Gary Bradski and Adrian Kaehler have teamed up to to write Learning OpenCV: Computer Vision with the OpenCV Library. First developed by Intel in the late 90s, it offers and drives a wide suite of interesting applications. BeagleBoneのGPIO制御もpythonでやることにしたので、練習がてらpython-opencvのチュートリアルを作ってみることにしました。BeagleBoneにWebカメラをつないで、サーボを使って追尾システムとか作れるぐらいになれればいいな~と思っています。. OpenCV is an open source library of computer vision algorithms and utilities. python-opencv free download. First, you may convert to gray-scale, but then you have to consider that grayscale still has at least 255. We can do image processing, machine learning, etc using OpenCV. It uses C++ as its primary interface, but other languages such as C and Python can also be used. Tag: opencv Image histogram A histogram is collected counts of data organized into a set of bins. OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV 3 and 4 work with Python 2. Hi, Thanks for the tutorial. Linux: OpenCV and using Lucas-Kanade Optical Flow function. **OpenCV is now at 3. Using python with OpenCV combines the simplicity of python with the capabilities of the versatile OpenCV library. pip install OpenCV for Python. 0, OpenCV includes its traditional C interface as well as the new C++ one. So one can use it for real time image processing. eg: (255, 0, 0) for blue color. Unofficial pre-built OpenCV packages for Python. Pythonで画像や動画を処理する際に、ライブラリのOpenCVが利用できます。OpenCVは画像や動画の処理に特化した外部ライブラリです。画像認証の機械学習などにも利用することになります。ここでは画像処理の基礎的な操作を行ってみます。. Problem sets will be done in Matlab or Python. 0 0 OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. 7\, and open either the x86\ (for 32-bit) or x64\ (for 64-bit) folder. 以降の説明では、どこからがbottleの機能、もしくはjinja2の機能といった紹介をせず に説明していく。. pip install opencv_contrib_python-3. 10 OpenCV 2. import cv2 #Import openCV import sys #import Sys. OpenCV-Python is not only fast (since the background consists of code written in C/C++) but is also easy to code and deploy(due to the Python wrapper in foreground). This learning path proposes to teach the following topics. We give Image name parameter with extension when we will run python script #Read the image. perspectiveTransform() with Python. matplotlib is a User friendly, but powerful, plotting library for python. 4+ along with it. python-opencv free download. Here you will learn how to display and save images and videos, control mouse events and. OpenCV-Python Tutorials Documentation, Release 1 10. OpenCV Tutorial - OpenCV is a cross-platform library using which we can develop real-time computer vision applications. cv2 bindings incompatible with numpy. You can see the below code snippet with the description. This package contains Python bindings for the OpenCV (Open Computer Vision) library. These code samples are a good starting point for developers who wish to develop more robust computer vision and analytic solutions. Multiprocessing with OpenCV and Python. Learn computer vision, machine learning, and image processing with OpenCV, CUDA, Caffe examples and tutorials written in C++ and Python. In the files extracted from opencv-3. Python is a general purpose programming language started by Guido van Rossum that became very popular very quickly. Color trackbar/slider using OpenCV Python By the end of this post, you’ll have made a pretty basic HSV color trackbar/slider that filters out a range of colors, leaving you with the range of colors that you want to identify. pip install opencv_contrib_python-3. Contribute to opencv/opencv development by creating an account on GitHub. Detecting Circles With OpenCV and Python: Inspiration :-The Idea for this came when I was tinkering with OpenCV and it's various functions. 現在アナコンダにてOpenCVの学習をしております。しかし、指定画像をSpyder上で表示しようとするとエラーが返されます。 使用環境: Anaconda3(Python 2. It also covers popular OpenCV libraries with the help of examples. OpenCV can generate histograms for both color and gray scale images. OpenCV is an open source library of computer vision algorithms and utilities. Learn computer vision, machine learning, and image processing with OpenCV, CUDA, Caffe examples and tutorials written in C++ and Python. Welcome to another OpenCV tutorial. 1 for Python on Windows or Fedora. opencv-contrib-python distribute wheel that you install with pip. OpenCV-Python Tutorials. Introduction The objective of this post is to explain how to read and display an image with Python and OpenCV. OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. How to access cameras using OpenCV with Python Published on May 2, 2019 Open Computer Vision (OpenCV) is an open source BSD licensed image processing bundle that contains functions for all type of image processing functionality from basic image decoding, enhancement, color space conversion, object detection, object tracking and so on. 0 in python did you still refer to it as cv2? – user391339 Feb 10 '15 at 8:54. 3File File Camera. Python for Computer Vision with OpenCV and Deep Learning. Basic motion detection and tracking with Python and OpenCV. Revise concept of CNN and build a age & gender detector. Installation and Usage. Installing Python-OpenCV Module. On Windows, Tkinter is bundled with the official Python installer. Video Analytics with OpenCV Computer vision technologies for both video analytics and attribution are becoming increasingly important across a number of vertical markets. Using OpenCV to Read Motion JPEG. perspectiveTransform() with Python. 0‑cp35‑none‑win32. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts. 26: binary only: 4. It somehow manage to detect the shape even if it. Support for multiple platforms including Windows, Linux, and MacOS. I believe if you compile with OpenCV with ffmpeg, it has mjpg support builtin, but it was quite laggy for me in the past. It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography. Finally, we integrate this classifier into a live loop using OpenCV to capture a frame from our webcam, extract a face and annotate the image with the result of the machine learning prediction. 2 Python リファレンス¶ などを見つけたらbug report まで報告してください.また,日本語訳に関する誤りや指摘は. OpenCV Tutorial - OpenCV is a cross-platform library using which we can develop real-time computer vision applications. It was just what i needed to get Opencv installed. Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions. Erdas遥感影像处理入门实战教程(GIS思维) 第一章:课程报名须知 第一节课程报名须知 第二章:Erdas Image与遥感影像的概述. 試みた内容は下記です。. ITIE Academy focus on high end engineering training and technical skill development catering to the needs of industry and academia. We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data. We will write 2 python scripts – one for training the classifier and the second for test the classifier. resize() function. Hough transform is a feature extraction method to detect any simple shape, if you can represent that shape in mathematical form. We can do image processing, machine learning, etc using OpenCV. how to compile that face detection in the raspberry pi. Во многих случаях мне просто нужно внести небольшие изменения, и это работает. OpenCV on Wheels. After installing, we will do some tests to verify the installation and also see some examples. "Python Introduction and Installation" provides. In this OpenCV Tutorial, we will learn how to get image size in OpenCV Python with an example. 0 0 OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. OpenCV is an open-source toolkit for advanced computer vision. OpenCV is a computer vision library that's written in C++ and had Python bindings. This learning path proposes to teach the following topics. NET compatible languages such as C#, VB, VC++, IronPython etc. 两个语言对应的openCV的库有不同吗?. release() 28 cv2. Included is a sample node that can be used as a template for your own node. Image Processing with Python Desert Py Meetup 26 February 2014 Sarah E. 3 なにごと? Pythonを覚えたら、やっぱりOpenCVやりたくなるじゃないですか。 で、おもむろにOpenCVを BUILD_PYTHON_SUPPORT=ON にしてインストールし、意気揚々とPythonを起動して import c…. 6 which is 64-bit. Introduction. Download it once and read it on your Kindle device, PC, phones or tablets. This package contains Python bindings for the OpenCV (Open Computer Vision) library. Using python with OpenCV combines the simplicity of python with the capabilities of the versatile OpenCV library. import numpy as np import cv2. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision, optical character recognition, and a whole lot more. 0‑cp35‑none‑win32. OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. The problem is that every time I try to imread, it returns an empty matrix. A good working knowledge of Matlab and/or Python with NumPy. In this tutorial, you will learn how you can process images in Python using the OpenCV library. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android. I encourage you to google them , there are lots and lots of examples and code snippets. OpenCV Python Tutorial. 22: binary only: 3. OpenCV can generate histograms for both color and gray scale images. It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography. Installation and Usage. Hough transform is a feature extraction method to detect any simple shape, if you can represent that shape in mathematical form. In Python, image processing using OpenCV is implemented using the cv2 and NumPy modules. 13), Windows 7, OpenCV 3. willowgarage. Different behaviour of OpenCV Python arguments in 32 and 64-bit systems. 7 licensed under the LGPLv2. The SimpleHTTPServer module can also be invoked directly using the -m switch of the interpreter with a port number argument. Make sure you have these libraries installed! Finding books in images using Python and OpenCV. As these are pre-trained in OpenCV, their learned knowledge files also come bundled with OpenCV opencv/data/. Posted on October 30, 2015 February 14, 2016 by Gabriel de la Cruz. I've been playing around with a few examples running linux mint and opencv 2. In this introductory tutorial, you'll learn how to simply segment an object from an image based on color in Python using OpenCV. OpenCV is released under a BSD license and hence it's free for both academic and commercial use. In this tutorial, you can find. OpenCV-Python Tutorials latest OpenCV-Python Tutorials; OpenCV-Python Tutorials. 10 OpenCV 2. This guide doesn't introduce any new OpenCV functions you shouldn't already be familiar … Continue reading Open Multiple Images with OpenCV in Python →. whl (md5) This install openCV into Linux Python 3. The Python 3. 7\, and open either the x86\ (for 32-bit) or x64\ (for 64-bit) folder. conda install linux-64 v4. py, and let’s get started:. OpenCV is an open source library of computer vision algorithms and utilities. OpenCV was originally developed in 1999 by Intel but later it was supported by Willow Garage. It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography. For BGR, we pass a tuple. pip install opencv_contrib_python-3. numpy: This module converts Python lists to numpy arrays as OpenCV face recognizer needs them for the face recognition process. The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. Overview Pillow OpenCV-Python is the Python API of OpenCV. 0) and wanted to add Python 3. Contribute to ex2tron/OpenCV-Python-Tutorial development by creating an account on GitHub. 6 based quadcopter) in our town (Porto Alegre, Brasil), I decided to implement a tracking for objects using OpenCV and Python and check how the results would be using simple and fast methods like Meanshift. OpenCV Safari BooksFree for GMU students 4. 代码运行的效率差距大吗? 3. First install OpenCV. YOLO Object Detection with OpenCV and Python. The idea of thresholding is to further-simplify visual data for analysis. Nike / packages / opencv-python 3. OpenCV-Python图像处理教程. Sample Code 1 importcv2 2 3 cap=cv2. In this tutorial, you will learn how you can process images in Python using the OpenCV library. We will learn how with few lines we can start to programmatically create videos using OpenCV with Python 3. Installation and Usage. The wrapper can be compiled by Visual Studio, Xamarin Studio and Unity, it can run on Windows, Linux, Mac OS X, iOS, Android and Windows Phone. Versioning. Using python with OpenCV combines the simplicity of python with the capabilities of the versatile OpenCV library. 0 based on the above instructions? if you used opencv 3. The easiest way to load multiple images is to put all the images into a single folder and loop through the directory opening each one. 【OpenCVとは】Pythonでの環境構築. You will be introduced to third-party APIs and will be shown how to manipulate images. to transform an angled image (non-top-down clicked image) and display it as if it was captured top-down at 90 degrees. How I built Microsoft Kinect-like functionality with just a webcam and a dream. OpenCV for Python enables us to run computer vision algorithms in real time. destroyAllWindows() 2. "Applesauce" wxPython 4. Hi, Thanks for the tutorial. worthwhile to take a glimpse of it. Welcome to a tutorial series, covering OpenCV, which is an image and video processing library with bindings in C++, C, Python, and Java. Sys will be used for reading from the command line. MATLAB ® and OpenCV are complementary tools for algorithm development, image and video analysis, and vision system design. To start off, you need to install 'OpenCV' and a 'compiler'. Dears, I got imx Yocto image with python & opencv installed. One of my favorite painting techniques is pointillism, a technique of painting in which small distinct dots of color are applied in patterns to form an image. They have also chosen to split releases into four separate pacakges: opencv-python opencv-python-headless opencv-contrib-python opencv-contrib-python-headless opencv-contrib includes all of opencv, plus additional modules (listed in the. 0 0 OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. More about this new released version can be found at official website. You can visit the new official tutorial at OpenCV website. Python for Computer Vision with OpenCV and Deep Learning. 13), Windows 7, OpenCV 3. python-opencv free download. Erdas遥感影像处理入门实战教程(GIS思维) 第一章:课程报名须知 第一节课程报名须知 第二章:Erdas Image与遥感影像的概述. OpenCV is a cross-platform, open-source, commonly used computer vision library. Initially, we will use the USB web camera as the video input coupled with the HDMI output before looking at the benefits of using both HDMI in and out. 代码运行的效率差距大吗? 3. 说明:搬运自 linux公社pdf文件 ,粗略搬运,仅作个人笔记参考,有时间再美化. In the files extracted from opencv-3. pip install opencv_contrib_python-3. color: It is the color of border line of rectangle to be drawn. Introduction The objective of this post is to explain how to read and display an image with Python and OpenCV. Tracking the movement of a finger is an important feature of many computer vision applications. import cv2 #Import openCV import sys #import Sys. Retrieved from:. We can do image processing, machine learning, etc using OpenCV. After installing, we will do some tests to verify the installation and also see some examples. Nike / packages / opencv-python 3. It is very powerful. willowgarage. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. Color trackbar/slider using OpenCV Python By the end of this post, you’ll have made a pretty basic HSV color trackbar/slider that filters out a range of colors, leaving you with the range of colors that you want to identify. There's an amazing Android app called CamScanner which lets you use the camera of your mobile phone and scan any text document. In the first part of this tutorial, we'll discuss single-threaded vs. Coding for Entrepreneurs is a series of project-based programming courses designed to teach non-technical founders how to launch and build their own projects. 28 Jul 2018 Arun Ponnusamy. Create an edge mask from the grayscale image using adaptive thresholding. Actually OpenCV is not an executable application with a GUI. Извлечение области из изображения с использованием среза в Python, OpenCV. Introduction to OpenCV. 0‑cp35‑none‑win32. By becoming familiar with these characteristics of using Python and OpenCV, you will be able to jump around to. 파이썬파일 하나 생성 후 다음과 같이 코드 작성해준다. It was just what i needed to get Opencv installed. Introduction The objective of this post is to explain how to read and display an image with Python and OpenCV. Object Recognition In Any Background Using OpenCV Python In my previous posts we learnt how to use classifiers to do Face Detection and how to create a dataset to train a and use it for Face Recognition, in this post we are will looking at how to do Object Recognition to recognize an object in an image ( for example a book), using SIFT/SURF. Learning OpenCV. The most popular and probably the simplest way to detect faces using Python is by using the OpenCV package. 代码运行的效率差距大吗? 3. On Windows, Tkinter is bundled with the official Python installer. numpy: This module converts Python lists to numpy arrays as OpenCV face recognizer needs them for the face recognition process. python-opencv ip camera example. a USB WebCam, a TV-Card, ) by Markus Gritsch ()I would like to put together a list of Python-powered WebCam URLs, so please send me an email with the URL of the plain image or the URL of the HTML page if you use VideoCapture. To resize an image, OpenCV provides cv2. Introduction. OpenCV is a highly optimized library with focus on real-time applications. Python版OpenCVの使い方を環境構築から入門向けにまとめました。 2016年09月22日17:54. 7, but the official installation instruction for tensorflow is python 3. Learn Python Project: pillow, tesseract, and opencv from University of Michigan. This book will also provide clear examples written in Python to build OpenCV applications. It has C++, C, Python and Java interfaces and supports Ubuntu Linux. "Python Introduction and Installation" provides. The most popular and probably the simplest way to detect faces using Python is by using the OpenCV package. Docs » Welcome to OpenCV-Python Tutorials's documentation!. opencv-contrib-python distribute wheel that you install with pip. Python findFundamentalMat. In this tutorial, I will show you how to install OpenCV Python on Raspberry Pi 3. Getting Started in Python Introduction. A Win32 Python Extension for Accessing Video Devices (e. by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine. Wow! I've just found out about opencv-python and am very excited. 25: binary only: 4. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. The wrapper can be compiled by Visual Studio, Xamarin Studio and Unity, it can run on Windows, Linux, Mac OS X, iOS, Android and Windows Phone. I tried to install it using pip, easy install and other installers but they were not working. To write text on image with OpenCV library of Python, use putText() method. OpenCV Python Computer Vision. In the files extracted from opencv-3. The installation instructions for OpenCV should guide you through configuring the project for yourself. OpenCV (Open source computer vision) is a library of programming functions mainly aimed at real-time computer vision. OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. You can visit the new official tutorial at OpenCV website. One of the challenges in detecting fingers is differentiating a hand from the background and identifying the tip of a finger. OpenCV 3 image and video processing with Python OpenCV 3 with Python Image - OpenCV BGR : Matplotlib RGB Basic image operations - pixel access iPython - Signal Processing with NumPy Signal Processing with NumPy I - FFT and DFT for sine, square waves, unitpulse, and random signal Signal Processing with NumPy II - Image Fourier Transform : FFT & DFT. Unofficial pre-built OpenCV packages for Python. 0が正式リリースされた。. Download that file and run pip install opencv_python‑3. ITIE Academy focus on high end engineering training and technical skill development catering to the needs of industry and academia. It has C++, C, and Python interfaces running on Windows, Linux, Android and Mac. OpenCV color detection and filtering is an excellent place to start OpenCV Python development. In this post, we are going to learn, how to detect lines in an image, with the help of a technique called Hough transform. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. OpenCV for Python enables us to run computer vision algorithms in real time. Alright, create a new Python file and follow along, let's first import OpenCV: import cv2. To install the latest version of OpenCV be sure that you have removed the library from the repository with sudo apt-get autoremove libopencv-dev python-opencv and follow the steps below. Installation and Usage. OpenCV is a popular library available for Python that can make it easier to work with videos and webcam. Gary Bradsky started OpenCV at Intel in 1999. After flying this past weekend (together with Gabriel and Leandro) with Gabriel’s drone (which is an handmade APM 2. If your GPU is AMD, you have to use OpenCL. by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine. OpenCV for Python enables us to run computer vision algorithms in real time. Learning OpenCV is a good asset to the developer to improve aspects of coding and also helps in building a software development. Linux: OpenCV and using Lucas-Kanade Optical Flow function. Image Source: DarkNet github repo If you have been keeping up with the advancements in the area of object detection, you might have got used to hearing this word 'YOLO'. 0, OpenCV includes its traditional C interface as well as the new C++ one. Image Processing with Python Desert Py Meetup 26 February 2014 Sarah E. OpenCV to handle computer vision and image processing. Opencv-python package (scripts in this repository) is available under MIT license. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision, optical character recognition, and a whole lot more. Here you will learn how to display and save images and videos, control mouse events and create trackbar. OpenCV is a mature, stable library for 2D image processing, used in a wide variety of applications. Installation.