Code For Opencv

The below post describes the original code on the 'Master' branch. You'll start by understanding the new features and setting up OpenCV 4 to build your computer vision applications. Expected Outcomes: Speedup OpenCV. OpenCV focuses mainly towards real-time image processing, as such, if it finds Intel's Integrated Performance Primitives on the system. The following are Jave code examples for showing how to use findContours() of the org. Create MEX-File from OpenCV C++ file. Check the official OpenCV documentation for Face Detection. Welcome to a tutorial series, covering OpenCV, which is an image and video processing library with bindings in C++, C, Python, and Java. The best is probably the SRCNN model, but it's a lot of work to get that running. Cross Language and comes with example code. Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions. In this OpenCV Python Tutorial blog, we will be covering various aspects of Computer Vision using OpenCV in Python. OpenCV on Wheels. 0, please see my other tutorial about "Tutorial integrating Code::Blocks and OpenCV 2. Now let’s retrieve back to the above question about softmax VS multi-binary classifiers. This document is the guide I've wished for, when I was working myself into face recognition. Opencv Python program for Face Detection. New projects for beginners and up posted every day. In a previous article I presented how to compute the skew angle of a digitized text document by using the Probabilistic Hough Transform. [Discussion] - Questions about Computer Vision in general. By integrating OpenCV with MATLAB, you can: Use and explore current research algorithms, whether they are implemented in MATLAB or OpenCV. Please note that you may have to copy the individual include folders from the modules folder. Code is rly simple. The code was tested in Linux (Ubuntu 10. This code is supposed to grab live camera feed, display feed in a window, mark in rectangles all detected faces, get the biggest detected face (by total area), display it in separate window, convert it to grayscale and finally save as PNG to hard disk, in project directory. Testing the code. Check the official OpenCV documentation for Face Detection. License is the BSD license. This project utilizes OpenCV Library to make a Real-Time Face Detection using your webcam as a primary camera. So, in this tutorial we performed the task of face recognition using OpenCV in less than 40 lines of python codes. I used Linux as it is easy to setup and run openCV and it is free. To uninstall OpenCV (Open Source Computer Vision) from Raspberry Pi (Raspbian Jessie), follow the steps mentioned below in this article. Using OpenCV v2. mexopencv is a private project independent of the official Matlab module. In this article we will present how to compute a morphological skeleton with the library OpenCV. o Locate the source code using the rowse. Assignment 1 - Use OpenCV for camera calibration Theory For the distortion OpenCV takes into account the radial and tangential factors. OpenCV pySide python QT Line Detection Demo & Code Walkthrough This is a simple demo and tutorial of using pyside Qt with OpenCV for visual detection. Now let’s retrieve back to the above question about softmax VS multi-binary classifiers. The second part is more technical and covers the code that identifies a QR code in any image. com From 2006-2016, Google Code Project Hosting offered a free collaborative development environment for open source projects. In the above console output we have a matrix which looks like coordinates of x, y points. Digital Image Processing using OpenCV (Python & C++) Highlights: In this post, we will learn about why the Fourier transform is so important. Open Source Computer Vision Library. It is, however, possible to use OpenCV in Objective-C++ files. We need an efficient piece of code that convert OpenCV image, a Mat, to a BufferedImage. This project demonstrate the Visual C++ Configuration for OpenCV as well as create windows form application. For the extremely popular tasks, these already exist. In this video, I explain the functionality of CvBridge that converts images from ROS format to OpenCV format and vice-versa. The one we will be using was developed at the OpenCV Lab and it is called ORB (Oriented FAST and Rotated BRIEF). As mentioned previously, OpenCV is a C++ API, and thus cannot be directly used in Swift and Objective-C code. Popular Filters. Before you start, make sure you have librealsense and OpenCV installed and working properly on your system. OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. OpenCV: QR Code detection and extraction There are many ways to decode QR Code these days. For the extremely popular tasks, these already exist. Instead of simply displaying the OpenCV camera view with the words "OpenCV Image" on it, we now run the CamShift filter on the image. x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition [Gabriel Garrido, Prateek Joshi] on Amazon. I am very new to OpenCV so I need comments and advice. Previous versions and ChangeLog are available here. Give me a time to add some recommendation, info and code description. Once you're certain the servos work by themselves, move onto part 2. cpp; modules/shape/samples/shape_example. dual degree program from IIT Kanpur. The instructions below have been tested for OpenCV 2. You can vote up the examples you like and your votes will be used in our system to generate more good examples. The problem is that learning to code with Android isn’t quite pick-up-and-play. Compile the code and hit “s” without qutoes to save the image. Now change to the directory with the OpenCV source and execute the following cmake command to build the makefile for the project. You'll start by understanding the new features and setting up OpenCV 4 to build your computer vision applications. Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel). OpenCV C++ Tutorials along with some Sample Source Codes and Examples: OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. You just need to specify the position, colour, scale (font size), and which the font to use as the minimum parameters. I want detect text from set of images input is text and out should be images containing. I encourage you to google them , there are lots and lots of examples and code snippets. OpenCV is a Library which is used to carry out image processing using programming languages like python. Installation instructions of openCV using version 3. We had already written about Bar Code and QR code scanner in a previous post, which uses an external library – ZBar. But, what if the face to be recognized is not even in the database. In this report, I used OpenCV 2. In the present era, OpenCV becomes a very strong tool for machine learning with the help of computer vision this become easier. I hope you tried out all the above codes on your machine - the best way to learn computer vision is by applying it on your own. 7 on Windows, you are in the right place. Opencv manual and examples. You need a working webcam for this script to work properly. On this wiki, we provide examples for all those languages, which are available from the Examples section on Tutorial page. Detect varios dictionaries: ARUCO, AprilTag,ArToolKit+,ARTAG,CHILITAGS. But, not anymore! Conda-Forge has now added the conda packages for OpenCV 3. 0 rc1, example source code for surf and matching (gpu version) This code is SURF and Matching test in opencv 3. Implementation. This webpage provides a short guide to connecting Matlab with OpenCV. Download OpenCV for free. Digital Image Processing using OpenCV (Python & C++) Highlights: In this post, we will learn about why the Fourier transform is so important. Before you start, make sure you have librealsense and OpenCV installed and working properly on your system. Since these are computer library functions which are written in C and C++ they are usually portable to. After flying this past weekend (together with Gabriel and Leandro) with Gabriel's drone (which is an handmade APM 2. Cross Language and comes with example code. The code above assigns a label to each image that is to recognized. OpenCV is the most popular and advanced code library for Computer Vision related applications today, spanning from many very basic tasks (capture and pre-processing of image data) to high-level algorithms (feature extraction, motion tracking, machine learning). Complete Code for OpenCV Camera Rotation and Scaling on Android. Here in this tutorial I am going to show how to configure Visual Studio 2010 to use OpenCV 2. Python had been killed by the god Apollo at Delphi. OpenCV Python Tutorial. Make sure to use OpenCV v2. The sample code is available to download, but as an exercise, we will create this app from scratch. The Python code works in both Python 2 and Python 3. OpenCV's claim to fame is it's ability to effortlessly work with video feed, either live or recorded. In this article, I talked about some interesting features of the popular OpenCV library used in Node. Opencv Python program for Face Detection. We will see How to read video, display video and save video, How to capture from Camera and display it, we will see these functions : cv. So, in this tutorial we performed the task of face recognition using OpenCV in less than 40 lines of python codes. The tutorial is based on the Accelerated-KAZE (AKAZE) algorithm and the OpenCV library. OpenCV is a highly optimized library with focus on real-time applications. First of all, Follow this tutorial to Install & Configure OpenCV with Visual Studio 2015; Copy the Full Source Code for Object Detection and Tracking from here:. When running the new node, you'll see two image windows appear as shown in the video above. Let's start off with the imports. The code above assigns a label to each image that is to recognized. I then took their code and modified it accordingly: Remove the model download part; PIL is not needed as the video streams in OpenCV are already in numpy arrays (PIL is also a very big overhead specifically when using it for reading in the images aka video streams). Installation. openCV source code for human detection. 03/19/2018; 7 minutes to read; In this article. I already had OpenCV installed in the default image. Computer vision and machine learning news, C++ source code for Opencv in Visual Studio and linux. Actually, OpenCV provides 4 pre-trained classifiers, so to be sure we detect as many faces as possible let's use all of them in sequence, and abort the face search once we have found one. There are many tutorials available on the 'net on how to go about doing this, but a mojority of them are in C, not C++. OpenCV tutorial: Computer vision with Node. This code is supposed to grab live camera feed, display feed in a window, mark in rectangles all detected faces, get the biggest detected face (by total area), display it in separate window, convert it to grayscale and finally save as PNG to hard disk, in project directory. 7, although any 2. 2 in your computer vision projects. But, not anymore! Conda-Forge has now added the conda packages for OpenCV 3. He was appointed by Gaia (Mother Earth) to guard the oracle of Delphi, known as Pytho. Since these are computer library functions which are written in C and C++ they are usually portable to. Code used: https://gist. FaceRecognizer is much easier to use & understand than this old code. OpenCV has been a vital part in the development of software for a long time. Now you should be ready to add the library to your project. OpenCV is an opensource library for building computer vision apps. ] Configuring included files Next, click on Directories and then on C Includes to add all the headers, located in some C:\OpenCV2. 1 subdirectories. In a previous article I presented how to compute the skew angle of a digitized text document by using the Probabilistic Hough Transform. Python had been killed by the god Apollo at Delphi. Here in this tutorial I am going to show how to configure Visual Studio 2010 to use OpenCV 2. Simple Example of Raspberry Pi Face Recognition. The support package also contains graphics processing unit (GPU) support. Assignment 1 - Use OpenCV for camera calibration Theory For the distortion OpenCV takes into account the radial and tangential factors. Get started in the rapidly expanding field of computer vision with this practical guide. Compile the code and hit "s" without qutoes to save the image. If you continue browsing the site, you agree to the use of cookies on this website. And this is the tutorial Keep reading folks. Faster than any other library for detection of markers; Few dependencies OpenCV (>=2. This webpage provides a short guide to connecting Matlab with OpenCV. OpenCV Safari BooksFree for GMU students 4. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts. ] Configuring included files Next, click on Directories and then on C Includes to add all the headers, located in some C:\OpenCV2. OpenCV is a free open source library used in real-time image processing. Here is a quick overview of how I installed OpenCV on my Raspberry Pi with debian6-19-04-2012. Maybe you have any advice?. years ago I built a stripped-down branch of opencv for ARM, using C, and integrating optimizations necessary at the time. Installation and Usage. The Open Source Computer Vision Library, or OpenCV if you prefer, houses over 2500 algorithms, extensive documentation and sample code for real-time computer vision. When smoothing or blurring images (the most popular goal of smoothing is to reduce noise), we can use diverse linear filters, because linear filters are easy to achieve, and are kind of fast, the most used ones are Homogeneous filter, Gaussian filter, Median filter, et al. (links given in below code). Andrew Ng says, which algorithm to use depend on whether the classes are mutually exclusive, which means, whether the classes are mixed. In which case all the code will be run on CPU instead. A Java application. Alright, this is it for this tutorial, you can get all tutorial materials ( including the testing image, the haar cascade, and the full code ) here. In this video, I explain the functionality of CvBridge that converts images from ROS format to OpenCV format and vice-versa. Installing and Using OpenCV the root directory for OpenCV will be This will create a library solution for OpenCV. OpenCV API Reference 3. We'll do face and eye detection to start. This requires to port the parallel implementations of OpenCV source code to web by leveraging Threads and SIMD features of WebAssembly. FFmpeg got a total of 8 assigned projects, and 7 of them were successful. The code is written in C on Dev C++. I have written a tutorial & free project using the new FaceRecognizer in Chapter 8 of the book "Mastering OpenCV". The second part is more technical and covers the code that identifies a QR code in any image. I wrote some C++ code using the OpenCV library. Review the other comments/questions as your questions have probably already been addressed. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts. mexopencv is a private project independent of the official Matlab module. [Bug] - Programming errors and problems you need help with. OpenCV for Unity. I would like to write another article how to train your own cascade. This programme uses SURF to do an object detection. Objective-C++ is a mixture of Objective-C and C++, and allows you to use C++ objects in Objective-C classes. Click here to download the source code to this post Anyway, after I published the Raspberry Pi + OpenCV installation tutorial, many of the comments asked that I continue on and discuss how to access the Raspberry Pi camera using Python and OpenCV. Do you like this article? Share it with this link. ** Disclaimer ** Much to my dismay this tutorial is by far the most visited page on my website, why does this upset me? It upsets me because as glad as I am to see people using open source tools like OpenCV and MinGW rather than proprietary or commercial alternatives I feel strongly that developers should be using Linux not Windows for coding, especially for C++. Local Binary Patterns is an important feature descriptor that is used in computer vision for texture matching. My file, contains the Opencv's version and the version of the specification, as well as some common examples, there is very good value, while providing Opencv in the some common lookup functions, plus there are walkthroughs of code, demonstrating to quick start has a high value. Create MEX-File from OpenCV C++ file. 03/19/2018; 7 minutes to read; In this article. Android eye detection and tracking with OpenCV i can import the opencv stuff but how to do this code in open please make some video i want to change eye color in. opencv is easy to use and install. [Question] - Questions about OpenCV code, functions, methods, etc. I have modified the code to make it work for recognition. First of all, Follow this tutorial to Install & Configure OpenCV with Visual Studio 2015; Copy the Full Source Code for Object Detection and Tracking from here:. years ago I built a stripped-down branch of opencv for ARM, using C, and integrating optimizations necessary at the time. Use the Easy Navigation button on the top bar to view all the posts at a glance related to openCV. In this tutorial, we will learn about "how to integrate Code::Blocks and OpenCV 2. Make sure you import any Android or OpenCV classes necessary to use these methods. Installation. In this tutorial we’ll be using picamera, which. Next piece of code converts a color image from BGR (internally, OpenCV stores a color image in the BGR format rather than RGB) to HSV and thresholds the HSV image for anything that is not red:. For OpenCV vision_opencv provides several packages: cv_bridge: Bridge between ROS messages and OpenCV. Cross Language and comes with example code. The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. image segmentation using c++ code at opencv free download. In order to do object recognition/detection with cascade files, you first need cascade files. So ultimately you get more image processing done for. Expected Outcomes: Speedup OpenCV. Unofficial pre-built OpenCV packages for Python. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision. Also, I am going to write a couple of lines of code to show new OpenCV C++ API. I tried conda install opencv conda install cv2 I also tried searching conda search cv No cigar. For the extremely popular tasks, these already exist. He worked on various interesting data science problems during his stint at Retail analytics and Sports analytics startups such as customer profiling, optimizing store layout, live prediction of winning odds of sports teams (soccer & tennis). It now exists in a separate sub-library called ‘opencv_contrib’ which is less well supported and harder to get up and running. You can check the following sample code in order to try the INOGENI with OpenCV v2. There are different cascades avaliable with the opencv software to detect face and other important parts like eyes,nose and mouth. This code has no dependencies and works with a C or C++ compiler. Use the OpenCV Interface files to integrate your OpenCV C++ code into MATLAB ® and build MEX-files that call OpenCV functions. A mex function for calculating histograms of (oriented) gradients as described in the paper ". 0) - data , step , cols , rows - can just pass to your code -Convertible to PtrStep , PtrStepSz structures. Using the editor of your choice create BGR_sample. Install and Use Computer Vision Toolbox OpenCV Interface. Skeletonization using OpenCV-Python Code was in C++, so I would like to convert it to Python here. You'll start by understanding the new features and setting up OpenCV 4 to build your computer vision applications. In this post we will see How to Install OpenCV in Ubuntu for C/C++ OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. There is a sample code for color_histogram in OpenCV-Python2 samples. 2009-08-31 FAST is now officially in OpenCV; 2009-08-13 Released OpenCV compatible code From the 2. If instead we want to be able to run OpenCV from an Android platform, we need to use OpenCV4Android, which allows development of OpenCV code for Android, both natively in C++ and in Java (by using the provided wrapper). Do not skip over the blog post and try to run the code. In order to do object recognition/detection with cascade files, you first need cascade files. I hope, that the Opencv 2. On this wiki, we provide examples for all those languages, which are available from the Examples section on Tutorial page. Collect and share your favorite projects made with code. I'm currently pursuing my thesis at Tesseract Imaging and have been working with Android OpenCV for some time. You’ll use a little manual labeling and a lot of automatic labeling to train an object classifier to recognize cars on a highway. Following are some simple steps that I followed. If you need a short tutorial about how to get started with OpenCV 4 programming in Python 3. A good guide for beginners to learn OpenCV with a lot of example codes. You'll use a little manual labeling and a lot of automatic labeling to train an object classifier to recognize cars on a highway. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts. Instead of simply displaying the OpenCV camera view with the words "OpenCV Image" on it, we now run the CamShift filter on the image. NET, C++ and IronPython. 2; win-32 v3. Hope this helps you get up and running with the OpenCV camera in Android!. txt (as recommended by opencv) everything works perfectly (i tested opencv version and get 4. OpenCV Python Tutorial. Human Detection In Opencv Codes and Scripts Downloads Free. Detect markers with a single line of C++ code. Install OpenCV 4 with Python 3 on Windows Posted on September 17, 2016 by Paul. Search and download open source project / source codes from CodeForge. This page covers installing OpenCV 3 on Windows (using pre-built binaries) and Linux (compiled from source), including the Python interface (the cv2 module). I am using opencv 2. Thus providing a crucial step towards computer vision. All about openCV, Image Processing converging towards Biometric face recognition. Updated 17 February 2019. [Bug] - Programming errors and problems you need help with. We need an efficient piece of code that convert OpenCV image, a Mat, to a BufferedImage. You can use LibRealSense and OpenCV* to stream RGB and depth data from your connected Intel® RealSense™ camera. I used Linux as it is easy to setup and run openCV and it is free. OpenCV Install on Windows with Code::Blocks and minGW ** Disclaimer ** Much to my dismay this tutorial is by far the most visited page on my website, why does this upset me? It upsets me because as glad as I am to see people using open source tools like OpenCV and MinGW rather than proprietary or commercial alternatives I feel strongly that. Expected Outcomes: Speedup OpenCV. As mentioned previously, OpenCV is a C++ API, and thus cannot be directly used in Swift and Objective-C code. x under Windows; Install OpenCV 3. It always felt as if the startup. It takes as input an image to transform, and a color space code (like cv2. (links given in below code). GitHub Gist: instantly share code, notes, and snippets. lcd-image-converter This program allows you to create bitmaps and fonts, and transform them to "C" source format for emb. Now lets take it to the next level, lets create a face recognition program, which not only detect face but also recognize the person and tag that person in the frame. In this post on OpenCV Python Tutorial For Beginners, I am going to show How to Read, Write, Show Videos from Camera in OpenCV. face detection sample code for OpenCV. The tutorial shares how to use Gamma Correction for image processing with OpenCV on Linux platform. Thus ,it can be seen that the sharpness of the edge is reduced to a considerable extent and the edge between 10 and 20 is blurred Here is the OpenCV Code for implementing low pass filter over an Image:. Using OpenCV v2. Recently I have added the face recognition algorithms from OpenCV contrib to opencv4nodejs, an npm package, which allows you to use OpenCV in your Node. OpenCV pySide python QT Line Detection Demo & Code Walkthrough This is a simple demo and tutorial of using pyside Qt with OpenCV for visual detection. The code is written in C on Dev C++. This tutorial and code sample shows how to do this, based on the Ubuntu* operating system. Welcome to OpenCV-Python Tutorials's documentation! Edit on GitHub; Welcome to OpenCV-Python Tutorials's documentation!. The below post describes the original code on the 'Master' branch. VideoWriter(). If you continue browsing the site, you agree to the use of cookies on this website. conda install linux-64 v4. 0), I've tested cuda acceleration with opencv and it works, perfectly. In a previous article I presented how to compute the skew angle of a digitized text document by using the Probabilistic Hough Transform. The package is suitable for fast prototyping of OpenCV application in Matlab, use of OpenCV as an external toolbox in Matlab, and the development of a custom mex function. Collect and share your favorite projects made with code. We had already written about Bar Code and QR code scanner in a previous post, which uses an external library – ZBar. OpenCV for Unity. Even if you download the sample, code, you'll need to follow the steps in Compile the OpenCV Libraries and Add the Libraries to your Project below. In this tutorial, we will learn about “how to integrate Code::Blocks and OpenCV 2. Make sure to use OpenCV v2. Plus it always gives you the comfort knowing that your code is cross-platform. Your projects will begin with code like this and then you'll implement something that's not in OpenCV. It is a real shame that there is no official interface for Node. Welcome to a tutorial series, covering OpenCV, which is an image and video processing library with bindings in C++, C, Python, and Java. This blog provides complete guide for learning Image processing with OpenCV with all the Source Codes. OpenCV is a Library which is used to carry out image processing using programming languages like python. The above function is available in the Python…. OpenCV on Wheels. import numpy as np We are also importing the numpy library which would be used for matrix calculation(a matrix is a just an arrangement of arrays). 1 subdirectories. Take a closer look at OpenCV scripting on Raspberry Pis with Clojure. Python In Greek mythology, Python is the name of a a huge serpent and sometimes a dragon. My file, contains the Opencv's version and the version of the specification, as well as some common examples, there is very good value, while providing Opencv in the some common lookup functions, plus there are walkthroughs of code, demonstrating to quick start has a high value. The package is suitable for fast prototyping of OpenCV application in Matlab, use of OpenCV as an external toolbox in Matlab, and the development of a custom mex function. The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. Android eye detection and tracking with OpenCV i can import the opencv stuff but how to do this code in open please make some video i want to change eye color in. Installation. 1 are the latest versions in Open Vision Computer Vision Libraries. OpenCV focuses mainly towards real-time image processing, as such, if it finds Intel's Integrated Performance Primitives on the system. After installation, when running opencv c++ code using cmake and CMakeLists. 3 into the folder at /Developer/OpenCV-2. Google Developers is the place to find all Google developer documentation, resources, events, and products. x under macOS; Install OpenCV 3. The support package also contains graphics processing unit (GPU) support. I want detect text from set of images input is text and out should be images containing. 0 rc1, example source code for surf and matching (gpu version) This code is SURF and Matching test in opencv 3. x under Windows; Install OpenCV 3. It is a real shame that there is no official interface for Node. And this is the. cpp; samples/cpp/connected_components. For the radial factor one uses the following formula: So for an old pixel point at (x,y) coordinates in the input image, its position on the corrected output image will be (x_{corrected} y_{corrected}). GSOC 2017 - Facemark API for OpenCV. Support Package Contents. You can also create some Arduino code to move the servos directly (without the data from OpenCV). The T-API is the motivation for us to rewrite all our code using the OpenCV C++ interface to take advantage of this future. I have installed your tbb package and compiled openCV according to your instructions, the only difference being my openCV is in different directory and that I use openCV_contrib. gz [28KB] fast_opencv-1. 0 and Code Blocks v10. This webpage provides a short guide to connecting Matlab with OpenCV. Source code QR Code image: Source code QR Code scanner from webcam: Files: scanning_qrcode. The tutorial shares how to use Gamma Correction for image processing with OpenCV on Linux platform. Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions. Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Checking the change-logs for OpenCV 3. OpenCV is the most popular and advanced code library for Computer Vision related applications today, spanning from many very basic tasks (capture and pre-processing of image data) to high-level algorithms (feature extraction, motion tracking, machine learning). How can I see the source code for a specific function of an opencv library ? I just one want to get an idea of how that specific machine vision. x: fast_opencv-1. Search and download open source project / source codes from CodeForge. You can think of it as a python wrapper around the C++ implementation of OpenCV. Sign up Open Source Computer Vision Library https://opencv. Hand gesture using OpenCV - using OpenCV 2. Since half year ago, I wanted to make a QR code scanner using c++ and OpenCV, but I rarely had time, so before the new semester’s beginning, I must try to finish it, at least part of it. RasPi + OpenCV = Face Tracking: This instructable will teach you everything you need to know about installing your new RasPi Camera to your Raspberry Pi and implement OpenCV's Face tracking libraries. Review the other comments/questions as your questions have probably already been addressed.