Open cv cascadeclassifier

OpenCV: cv::CascadeClassifier Class Referenc

1. Neighbors[, flags[,
2. OpenCV comes with pre-trained classifiers for faces, eyes, smiles and so forth. These pre-trained classifiers are XML files stored in here and cloned to my computer (step 2): facePath
3. I am attempting to use the Haarclassifier from opencv cuda, for this I found the object cv.cuda_CascadeClassifier. However, assigning cv.cuda_CascadeClassifier() to a variable spit the following error: this object has no ''load'' attribute. I could successfully verify it by printing their dir() print(dir(cv.cuda_CascadeClassifier))

opencv / samples / gpu / cascadeclassifier.cpp Go to file Go to file T; Go to line L; Copy path Cannot retrieve contributors at this time. 316 lines (270 sloc) 8.32 KB Raw Blame // WARNING: this sample is under construction! Use it on your own risk. # if defined. Hi all , I try opencv 2.4.9 on XP Visual C++ 2008. I use debug Lib on debug config and release lib on release config. I try CascadeClassifier with haarcascade_frontalface_alt.xml and other xml present in 2.4.9 version. In release config CascadeClassifier.load always return false . In debug config CascadeClassifier.load crash . Can you help me Open Source Computer Vision Library. Contribute to opencv/opencv development by creating an account on GitHub

While writing Java code using OpenCV library, the first step you need to do is to load the native library of OpenCV using the loadLibrary (). Load the OpenCV native library as shown below. // Loading the core library System.loadLibrary (Core.NATIVE_LIBRARY_NAME); Step 2: Instantiate the CascadeClassifier clas filename: Name of the file from which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA's nvbin are supported for HAAR and only new type of OpenCV XML cascade supported for LBP

C# (CSharp) OpenCvSharp CascadeClassifier - 3 examples found. These are the top rated real world C# (CSharp) examples of OpenCvSharp.CascadeClassifier extracted from open source projects. You can rate examples to help us improve the quality of examples The following are 30 code examples for showing how to use cv2.CascadeClassifier(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar. You may also want to check out all. Parameters: image - Matrix of the type CV_8U containing an image where objects are detected. objects - Vector of rectangles where each rectangle contains the detected object, the rectangles may be partially outside the original image. scaleFactor - Parameter specifying how much the image size is reduced at each image scale. minNeighbors - Parameter specifying how many neighbors each candidate. image: Matrix of the type CV_8U containing an image where objects are detected. objects: Vector of rectangles where each rectangle contains the detected object, the rectangles may be partially outside the original image Please migrate to https://forum.opencv.org. Most of existing active users should've received invitation by e-mail. Hi there! Please sign in help. faq tags users badges. ALL UNANSWERED. Ask Your Question RSS Sort by » date activity answers votes. 21 questions Tagged. #CascadeClassifier × 145. views no. answers no. votes 2014-12-05 10:27:08 -0500 batuman. Offset value in OpenCV's face.

Face Recognition using OpenCV/Haar Cascade Classifications

• In the OpenCV implementation, stage_sum is computed and compared against the i stage_threshold for each stage to accept/reject a candidate window. We define the detection score for a candidate window as K*stage_when_rejected + stage_sum_for_stage_when_rejected. If a window is accepted by the cascade, we just K*last_stage + stage_sum_for_last_stage. Choosing K as a large value e.g., 1000, we.
• OpenCV 4.5.1 and 3.4.13 have been released. See all news and articles. Open Source. OpenCV is open source and released under the BSD 3-Clause License. It is free for commercial use. Optimized. OpenCV is a highly optimized library with focus on real-time applications. Cross-Platform. C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android. E-Mail; Slack; GitHub; Facebook.
• Actually there is an abstract class MaskGenerator inside CascadeClassifier, which had implemented the classification with mask. It is necessary to realize the virtual function generateMask() in your derived class. Also note that masked CascadeClassifier is only working with new format cascade classifiers. OpenCV source code opencv/modules.

opencv - cv2.cuda_CascadeClassifier in python - Stack Overflo

• cout << \nThis program demonstrates the use of cv::CascadeClassifier class to detect objects (Face + eyes). You can use Haar or LBP features.\n This classifier can recognize many kinds of rigid objects, once the appropriate classifier is trained.\n It's most known use is for faces.\n Usage:\n << argv[0] << [--cascade=<cascade_path> this is the primary trained classifier such as.
• imize dependencies and build from sources (with debug symbols) and.
• The documentation for this class was generated from the following file: /home/grier/opencv/opencv/modules/objdetect/include/opencv2/objdetect/objdetect.hp
• Add the following files: opencv_core300.dll, open_imgcodecs300.dll, opencv_imgproc300.dll, opencv_ml300.dll, opencv_objdetect300.dll. After adding the files, click on each one in the Solution Explorer and make Content = True Modify you General Propertie

I'm running on my python code using openCV import cv2 import numpy as np cap = cv2.VideoCapture(0) face = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml') while 1: ret, frame = cap.r.. OpenCV - Face Detection using Camera - The following program demonstrates how to detect faces using system camera and display it using JavaFX window OpenCV CascadeClassifier Python out of memory; OpenCV load cascadeClassifier EXC_BAD_ACCESS crash; KNN train() in cv2 with opencv 3.0; Last questions. Uncaught TypeError: $().code is not a function (Summernote) knitr kable and * Monitor incoming IP connections in Amazon AWS; Scala Class body or primary constructor body; Best practice for updating individual state properties with Redux. OpenCV incorporates some basic cascades which have very good practical applications such as Face Detection, Vehicle license plate recognition etc. Ever wondered that you can create your own Cascad

opencv/cascadeclassifier

opencv documentation: Using Cascade Classifiers In Java. RIP Tutorial. en English (en) Français (fr) CascadeClassifier.detectMultiScale(image, detections); // Detects any object in the Mat object image and outputs the detections in the MatOfRect object detections CascadeClassifier.detectMultiScale(image, detections, scaleFactor, minNeighbors, flags, minSize, maxSize); // Performs a. My system OpenCV version: 3.1 Host OS: Linux (Ubuntu 14.04) CPU: intel i7 3770 Video card: GTX-950 Video driver: v.352.93 In which part of the OpenCV library you got the issue? objdetect, cudaobjdetect cv::CascadeClassifier, cv::cuda::Ca.. OpenCV load cascadeClassifier EXC_BAD_ACCESS crash; OpenCV CascadeClassifier C++ Interface in Multiple Threads; Redundancy through constructor initialization [closed] How can i load the cascadeClassifier in Android OpenCv; Eager initialization vs Lazy initialization use case [closed] Skipping explicit template initialization to avoid double. The documentation for this class was generated from the following file: objdetect/objdetect.hp Download My custom trained Opencv Cascade Classifier for detectMultiScale March 12, 2020 This tutorial contains a list of custom trained LBP and HAAR cascade trained for Opencv CascadeClassifier detect multiscale method. You can download and test these cascades to detect people, heads, and cars in OpenCV

CascadeClassifier - OpenCV Q&A Foru

1. OpenCV, PyTorch, Keras, Tensorflow examples and tutorials. Home; Getting Started. Installation; PyTorch; Keras & Tensorflow; Resource Guide; courses. Opencv Courses; CV4Faces (Old) Resources; AI Consulting; About; Search for: ocfb-d3-m1-cascadeclassifier. Vikas Gupta. November 4, 2017 Leave a Comment. November 4, 2017 By Leave a Comment. About . I am an entrepreneur with a love for Computer.
2. Install Python OpenCV library on your Python environment if you have not installed it yet. Secondly, we need the haar cascaded files which contains the features of the vehicles which we want to detect. Here we are using cars.xml and bicycle.xml. This program will detect the cars and the bicycles from the given footage and draws rectangle over it. Now we will proceed towards our coding section.
3. I have created my own cascade classifier using opencv_traincascade, i am trying to use it in my C# emgu project but it does not work using HaarCascade. I did some reading and found that CascadeClassifier is required to load xml files obtained through opencv_traincascade, But i could not find the namespace where the class is located. How to use CascadeClassifier in emgu c# project? c# opencv.
4. OpenCV Python program for Vehicle detection import cv2 from matplotlib import pyplot as plt car_cascade = cv2 . CascadeClassifier ( 'cars.xml' ) img = cv2 . imread ( 'car3.jpg' , 1 ) gray = cv2 . cvtColor ( img , cv2
5. If openCV is configured, always return true :return: if vision_enabled is False: # if opencv is not able to be imported, always return True return True face_cascade = cv2.CascadeClassifier(self.facial_recognition_model) video_capture = cv2.VideoCapture(self.camera) while True: # Capture frame-by-frame ret, frame = video_capture.read() gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) faces.
6. cv2.CascadeClassifier(cv2.data.haarcascades + haarcascade_frontalface_default.xml) Read OpenCV documentation. Before opening a new issue, read the FAQ below and have a look at the other issues which are already open. Frequently Asked Questions. Q: Do I need to install also OpenCV separately
7. This file can be found at the opencv\sources\data\haarcascades directory of the OpenCV uncompressed files we get after downloading. You can also get the file here. In order to guarantee that the file is correctly accessed, I'm going to put the whole file path in the CascadeClassifier function. As shown bellow, I have the file in my desktop.

cascadeClassifier object; So here it is in form of python code. In [ ]: import cv2 cam = cv2. VideoCapture (0) detector = cv2. CascadeClassifier ('haarcascade_frontalface_default.xml') Our dataset generator is going to capture few sample faces of one person from the live video frame and assign a ID to it and it will save those samples in a folder which we are going to create now and we will. OpenCV's algorithm is currently using the following Haar-like features which are the input to the basic classifiers: Picture source: face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') Then, we need to load input image in grayscale mode: img = cv2.imread('xfiles4.jpg') gray = cv2.cvtColor(img, cv2.COLOR. Finally, the crux of it all is that learning OpenCV is a tedious task but it is crucial for people who want to take part in machine learning projects that are image-related. This blog covers the. # OpenCV Python program to detect cars in video frame # import libraries of python OpenCV import cv2 # capture frames from a video cap = cv2.VideoCapture('video.avi') # Trained XML classifiers describes some features of some object we want to detect car_cascade = cv2.CascadeClassifier('cars.xml') # loop runs if capturing has been initialized. while True: # reads frames from a video ret, frames. cascade - Haar classifier cascade (OpenCV 1.x API only). It can be loaded from XML or YAML file using Load (). When the cascade is not needed anymore, release it using cvReleaseHaarClassifierCascade (&cascade). image - Matrix of the type CV_8U containing an image where objects are detected

OpenCV - référence non définie à 'cv :: CascadeClassifier :: detectMultiScale après la mise à jour de NDK . Hier, j'ai mis à jour mon logiciel Android Studio inclus avec NDK vers la version 17.0.4754217 et depuis lors, je ne peux plus exécuter mon application. Lorsque j'ai essayé de réexécuter le code après la mise à jour, l'erreur : les ABI [mips64, armeabi, mips] ne sont pas. I've checked openCV samples (HOG & CascadeClassifier with haarcascade_frontalface_alt.xml) and got profiler output but i'm not sure i can correctly interpret results. Especially because of that i'm not the one who wrote the code. I've attached profiler output for both cases if you can/want to view it. Perhaps it is OpenCV's part to resolve it (i mean performance). hog_profile.txt (3. OpenCV uses machine learning algorithms to search for faces within a picture. Because faces are so complicated, there isn't one simple test that will tell you if it found a face or not. We are going to use Haar Cascade. A Haar Cascade is basically a classifier which is used to detect the object for which it has been trained for, from the source. The methodology of face detection can be. Créer un compte. Vous n'avez pas encore de compte Developpez.com ? L'inscription est gratuite et ne vous prendra que quelques instants ! Je m'inscris Now haar cascade file in OpenCv is basically a classifier. This classifier is used to detect particular objects from the input image. The haarcascade_frontalface_default.xml is a part of the haar cascade mainly designed by OpenCV to detect the frontal face. We have three feature detection using Haar cascad

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. This article focuses on detecting objects. Note: For more information, refer to. cv2.CascadeClassifier() for Face and Eyes. Now that you in have installed and imported the two modules, put the haarcascade_eye.xml & haarcascade_frontalface_default.xml files in the same folder as your script. If you prefer to save these two files in another location, make sure to add the full path + gray +: Ceci spécifie l'utilisation de l'objet image OpenCV en niveaux de gris que vous avez chargé précédemment. + scaleFactor +: Ce paramètre spécifie le taux de réduction de la taille de l'image à chaque échelle.Votre modèle a une échelle fixe pendant la formation. Vous pouvez donc réduire les images d'entrée pour une meilleure détection

Je me doute bien qu'il s'agit d'un problème lié à mon fichier à charger et à sont emplacement. J'ai donc essayé en entrant le chemin complet de mon fichier quand j'utilise cascade.load( file_name ) ou encore de mettre mon fichier dans le même dossier que mon projet Acceleration of OpenCV with OpenCL started 2011 by AMD. As the result the OpenCV-2.4.3 release included the new ocl module containing OpenCL implementations of some existing OpenCV algorithms. That is, when OpenCL runtime and a compatible device are available on a client machine, user may call cv::ocl::resize() instead of cv::resize() to use the accelerated code

OpenCV - Face Detection in a Picture - Tutorialspoin

1. Car Plate Detection with OpenCV and Haar Cascade. First of all, we import the input car image we want to work with. Because OpenCV imports images as BGR (Blue-Green-Red) format by default, we will need to run cv2.cvtColor to switch it to RGB format before we ask matplotlib to display the image
2. Introduction Facial detection is a powerful and common use-case of Machine Learning. It can be used to automatize manual tasks such as school attendance and law enforcement. In the other hand, it can be used for biometric authorization. In this article, we'll perform facial detection in Python, using OpenCV. OpenCV OpenCV is one of the most popular computer vision libraries. It was written in.
3. OpenCV provides us with two pre-trained and ready to be used for face detection classifiers: As you can see, since the code is exactly same, I just loaded up our CascadeClassifier this time with the LBP training file. I read a test image and called our detect_faces function, which returned an image with a face drawn on it. I'll give another test image a try as well: #load test image.
4. To get details how Open CV detect face refer link Face Recognition with OpenCV — OpenCV 2.4.13.7 documentation It has been observed that, person with white mask, most of time OpenCV cannot.
5. Je ne connais pas grand chose en OpenCV mais si je me rappelle mes petites expériences, si tu connais la zone du dossard (CascadeClassifier) ainsi que sa couleur (à toi de voir si tu la connais ou si tu fais une moyenne de la couleur de la zone du dossard), tu peux découper le numéro pour ensuite l'analyser. En espérant t'avoir aidé. OpenCV : reconaissance de dossards × Après avoir.
6. Create OpenCV Image Classifiers Using Python: Haar classifiers in python and opencv is rather tricky but easy task.We often face the problems in image detection and classification. the best solutio is to create your own classifier. Here we learn to make our own image classifiers with a few com

Create a new cascade classifier. Returns Nothing if the classifier is empty after initialization. This usually means that the file could not be loaded (e.g. it doesn't exist, is corrupt, etc. Nom du paquet: alpaga.cascadeClassifier. Catégorie: Divers. Développé par: Arnaud IO. Système d'exploitation minimum: Android 4.0 ou version ultérieure. Autorisations d'application: [ afficher les détails] Note: Reconnaissance d'objet utilisant les Cascade Classifier de OpenCV. Dernières mises à jour: Correction de bugs [ afficher les détails] Description: Object recognition using.

import numpy as np import cv2 cap = cv2.VideoCapture(0) face_cascade = cv2.CascadeClassifier(haarcascade_frontalface_default.xml) eye_cascade = cv2. The following examples show how to use org.opencv.objdetect.CascadeClassifier#detectMultiScale() .These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example If you don't know how to install Python OpenCV library Click here. This program will detect the smile on our face using a webcam and draws a rectangle on the detected smile. Let's move to our coding section. Smile Detection Code import cv2 face_cascade=cv2.CascadeClassifier('haarcascade_frontalface_default.xml') smile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml') First, import.

OpenCV: cv::cuda::CascadeClassifier Class Referenc

I am trying to port an existing opencv project to Android. But in current implementation in c++ i load the cascadeClassifier once when the program starts. But in android if i call my native functions from onCameraFrame() then i have to load the cascadeClassifier files every time i pass a frame to native code, which is a lot of work for the device.. Is there a way to load the cascadeClassifier. face_cascade = cv.CascadeClassifier('\\cv2\\data\\haarcascade_frontalface_default.xml') eye_cascade = cv.CascadeClassifier('\\cv2\\data\\haarcascade_eye.xml') Now, we need to load the image in which we want to run our face detection algorithm. For this article we will be using the traditional OpenCV 'lenna' image as following In the present era, OpenCV becomes a very strong tool for machine learning with the help of computer vision this become easier. In this tutorial, we will learn Face Recognition from video in Python using OpenCV. So How can we Recognize the face from video in Python using OpenCV we will learn in this Tutorial. Now let's begin. We will divide this tutorial into 4 parts. So you can easily.

Opencv is the most popular computer vision library, and today we are going to learn how to setup opencv, how to access your webcam and how easily we can write a face detection program with just a few lines of code. Hi there, this is me Anirban, writing my first blog on face detection, I am a crazy person, and if you are like me you might like the stuff that are in my blog. In my posts I will. Quasi Dense Stereo matching algorithm has been implemented in opencv_contrib/stereo module; Added Hand-Eye Calibration methods; More details can be found in the Changelog. Most of bugfixes and improvements have made their way to both 3.4 and master branches. Contributors. Big thanks to everybody who contributed (here is the incomplete list of patch authors; please, report if you contributed. OpenCV 3.1.0-dev. Open Source Computer Vision Public Member Functions | Static Public Member Functions | Public Attributes | List of all members. cv::CascadeClassifier Class Reference. Object Detection. Cascade classifier class for object detection. More... #include objdetect.hpp Public Member Functions CascadeClassifier CascadeClassifier (const String &filename) Loads a classifier from.

The OpenCV library is licensed under two different licenses depending on the version of the library. The rationale behind changing OpenCV license from 3-clause BSD to Apache 2 is explained in this post. OpenCV 4.5.0 and higher OpenCV 4.5.0 and higher versions are licensed under the Apache 2 License. OpenCV 4.4.0 and lower OpenCV 4.4.0 [ OpenCV GPU header file Upload image from CPU to GPU memory Allocate a temp output image on the GPU Process images on the GPU Process images on the GPU Download image from GPU to CPU mem OpenCV CUDA example #include <opencv2/opencv.hpp> #include <opencv2/gpu/gpu.hpp> using namespace cv; int main() OpenCV-Python is the python API for OpenCV. You can think of it as a python wrapper around the C++ implementation of OpenCV. 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 makes it a great choice to perform computationally intensive programs

CascadeClassifier, OpenCvSharp C# (CSharp) Code Examples

In this OpenCV with Python tutorial, we're going to discuss object detection with Haar Cascades. We'll do face and eye detection to start. In order to do obj.. at org.opencv.objdetect.CascadeClassifier.detectMultiScale_1(Native Method) at org.opencv.objdetect.CascadeClassifier.detectMultiScale(CascadeClassifier.java:103) solution : make sure that you do this following steps : - path absolute - test if empt It was unavoidable — the OpenCV 3 release was bound to break backwards compatibility with some OpenCV 2.4.X functions: cv2.findContours and cv2.normalize come to mind right off the top of my head. So how do you ensure that your code will work no matter which version of OpenCV your production environment is using? Well, the short answer is that you'll need to create if statements around.

Python Examples of cv2

The CascadeClassifier class of is used to load the classifier file and detects the desired objects in the image. The detectMultiScale() of this class detects multiple objects of various sizes This video shows how I use OpenCV to make a simple face recognition system on Raspberry Pi 400. Hardware Preparation. This is the list of items used in the video. RPi 400 Wireless Computer Kit-US Layout & UK Power Plug. Raspberry Pi 400 Keyboard Computer. Official RPi 15W (5V/3A) PSU USB C UK Plug-Black. Sample Program. This is python3 sample program for OpenCV Face Recognition using Raspberry. OpenCV load cascadeClassifier EXC_BAD_ACCESS crash. Refresh. March 2019. Views. 520 time. 1. I'm using the official opencv2.framework and already setup the wrappers and bridging header etc. I'm getting an EXC_BAD_ACCESS message and crash when i run the app. I'm working in swift. here is the code from the wrapper file. What am i doing wrong? #include OpenCVWrapper.h #import UIImage+OpenCV.

CascadeClassifier (OpenCV 3

2014-02-02 Détecter des visages avec opencv. Après avoir lu un blog sur la détection de visages, je me suis dit que c'est facile d'écrire un petit programme pour vérifier que cela marche. Et c'est vrai ou pas si loin. Voici la recette sur Windows. Tout d'abord, il faut installer si vous ne l'avez jamais fait et en faisant bien attention aux numéros de version OpenCV 2.3.2 documentation C++: int gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, double scaleFactor=1.2, int minNeighbors=4, Size minSize=Size()) ¶ Parameters: image - Matrix of type CV_8U containing an image where objects should be detected. objects - Buffer to store detected objects (rectangles). If it is empty, it is allocated with the. In line 4, we converted the image to grayscale because OpenCV mostly operates in gray scale. Then, in line 8, we loaded LBP face detector using classcv2.CascadeClassifier. After that, in line 12, we used classcv2.CascadeClassifier' detectMultiScale method to detect all the faces in the image Hey Chen, issue resolved, I am using OpenCV for Tegra, the sample code provided by OpenCv is buggy. Thank error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale' How can I solve this error? machine-learning; image-processing; face-detection; Apr 20, 2020 in Machine Learning by akhtar • 38,130 points • 5,422 views. answer comment. flag; 1 answer to this.

Questions - OpenCV Q&A Foru

OpenCV CascadeClassifier Python out of memory. Refresh. November 2018. Views. 52 time. 2. Here is my code: def load_cascades(): cascades = [] for root, dirs, files in os.walk(rooted('data/logos')): for fname in files: if fname == 'cascade.xml': path = os.path.join(root, fname) cascade = cv2.CascadeClassifier(path) cascades.append(cascade) return cascades cascades = load_cascades() def get. You will learn in this video how to detect Faces using the Haar Cascades object detection method. Source code: import cv2 import numpy as np def nothing(x): pass cap = cv2.VideoCapture(0) face_cascade = cv2.CascadeClassifier(haarcascade_frontalface_default.xml) cv2.namedWindow(Frame) cv2.createTrackbar(Neighbours, Frame, 5, 20, nothing) while True: _, frame.. Introduction . Hi guys , In this article, you're going to cover some basics object detection in python by building your own vehicle detection script in python using an open-source computer vision library (OpenCV).. what is object detection? Object detection i s a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a.

OpenCV supports a wide variety of programming languages such as C++, Python, Java etc. Support for multiple platforms including Windows, Linux, and MacOS. OpenCV Python is nothing but a wrapper class for the original C++ library to be used with Python. Using this, all of the OpenCV array structures gets converted to/from NumPy arrays Cascading is a particular case of ensemble learning based on the concatenation of several classifiers, using all information collected from the output from a given classifier as additional information for the next classifier in the cascade.Unlike voting or stacking ensembles, which are multiexpert systems, cascading is a multistage one.. Does anyone have practical results of how much speed improvements can be achieved using OpenCV CascadeClassifier::detectMultiScale with TBB library? Thanks in advance. OpenCV. Library. Share. Getting started with opencv; Basic Structures; Blob Detection; Build and Compile opencv 3.1.0-dev for Python2 on Windows using CMake and Visual Studio; Cascade Classifiers; Contrast and Brightness in C++; Creating a Video; Display Image OpenCV; Drawing Functions in Java; Drawing Shapes (Line, Circle etc) in C++; Edge detection; Image.