Flask Opencv Face Recognition

October 21, 2018 gooshi_addu 0. The project consists. OpenCV already contains many pre-trained classifiers for face, eyes, smile etc. about 1 year ago. Any package included in Intel Distribution for Python as the deep learning framework can be used to make recognition software. cpp, by Shervin Emami (www. #How to use it. To create a complete project on Face Recognition, we must work on 3 very distinct phases: Face Detection and Data Gathering; Train the Recognizer; Face Recognition. jpg") face_landmarks_list = face_recognition. 4 include Face Recognition API, things change a little bit. In this paper, we propose a face detection and recognition system using python along with OpenCV package. Face recognition can be applied to a wide range of uses, including crime prevention, surveillance, forensic applications, biometrics, and, more recently, in social networks. This is a simple demonstration of how to watch live your webcam online and detecting face using python, opencv and flask. FACE DETECTION IN OPENCV OpenCV (Open Source Computer Vision) is a library of programming functions for real -time. i created the web of the production using python web flask (flask_login, flask bcrypt, flask_upload, flask_wtf. View Iván de Paz Centeno’s profile on LinkedIn, the world's largest professional community. You will also learn how to use Principal Component Analysis (PCA) on facial images. What face_recognition does is create a set of encodings of known faces, then compare an "unknown" face to those encodings and determine whether it matches any of the known people. OpenCV is an incredibly powerful tool to have in your toolbox. org) is an open-source BSD. It is available under the MIT open-source license, the shortest and probably most permissive of all the popular open-source licenses. PWM Driver built on Threads in Linux Kernel Module on. Face expression recognition app with Keras, Flask and OpenCV - jonathanoheix/Real-Time-Face-Expression-Recognition. This tutorial will not explain face detection methods; it just gives everything required for starting experiments. Set Environmental. NOTE: I MADE THIS PROJECT FOR SENSOR CONTEST AND I USED CAMERA AS A SENSOR TO TRACK AND RECOGNITION FACES. OpenCv was basically developed for c++ and as the world progressed they transformed the library into python library. Linux Kernel PWM Driver with SYSFS. used opencv and sklearn for face detection used Tensorflow-gpu and keras for building and training model for recognition Developing Face based Created RESTful web API in python using Flask. My development thus far has been using the openface docker image with additional flask dependencies (Used for a web application) on a Mac. ı need a program that can do face recognizition with opencv. Face recognition. The field reached a certain level of maturity so that face recognition systems are encountered in a wide area of applications ranging from surveillance systems to user authentication in laptops. Methods and Theory behind the EigenFace method for facial recognition. get latest master branch for both opencv and opencv_contrib, rerun cmake && make && make install. 2019-08-28 face-recognition kinect. In this paper, we propose a face detection and recognition system using python along with OpenCV package. Network is called OpenFace. Face-Recognition using OpenCV on July 10, 2019 detection detector face detection face recognition machine learning ml mlforsmile mlwithsmile opencv parth sojitra + 1. How to Build Web Camera Recorder Using OpenCV and Flask. The project consists. 0 version was released in 2006. The tech: Python, OpenCV, and Flask. In this project I will show you how to capture images from a webcam, detect faces in those images, train a face recognition model and then try it out on video stream from a webcam. These images can be anything, like cars, animals, or faces. In this project, I applied face detection to some photos I took using OpenCV with Python. Let’s improve on the emotion recognition from a previous article about FisherFace Classifiers. Linux Kernel. Face Recognition Based Student Attendance System with OpenCV International Journal of Advanced Technology and Innovative Research Volume. x version : python 2. See the complete profile on LinkedIn and discover Iván's. Face expression recognition app with Keras, Flask and OpenCV - jonathanoheix/Real-Time-Face-Expression-Recognition. It features facial recognition, RFID, and control via a webapp. This is basically the guide to build an API for the same which can be deployed later as per your convenience. Install all the dependencies it has : opencv 2. com Google Inc. The complexity of machines have increased over the years and computers are not an exception. OpenCV is an incredibly powerful tool to have in your toolbox. The first phase uses camera to capture the picture of our faces which generates a feature set in a location of your PC. 1Requirements •Python 3. 0 Face Recognition with OpenCV にあるソースコードとほぼ同じものです。それぞれの特徴量がどのようなものであるのかを示す画像を生成するものです。 には顔画像のファイル名と顔のIDの数値とが格納されたCSVファイルを指定します。. We are using Open Source Computer Vision (OpenCV) Haar Cascades algorithm for Frontal Face Detection and Fisher Face Recognizer for Face Recognition. In this tutorial we are going to use well-known classifiers that have been already trained and distributed by OpenCV in order to detect and track a moving face into a video stream. Example of Python with Opencv and camera face detection - python_opencv_camera_haar. More specifically, the recognition. Q&A python-2. This can also be used in security surveillance projects. openCV is used for Face Recognising System, motion sensor, mobile robotics etc. Face Detection using Python and OpenCV with webcam OpenCV Python program for Vehicle detection in a Video frame Python Program to detect the edges of an image using OpenCV | Sobel edge detection method. OpenCV based: We will train a face recognition system using OpenCV. Python multiple face recognition course covers every single topic related to face recognition software development. Hello everyone, this is part two of the tutorial face recognition using OpenCV. Here's what it should. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Many, many thanks to Davis King () for creating dlib and for providing the trained facial feature detection and face encoding models used in this library. Python multiple face recognition course covers every single topic related to face recognition software development. 3+ or Python 2. • Face detection/recognition – what’s all about? • Pioneers in face recognition • Add value to your media apps • What we want to…. Q&A Reconocimiento de expresiones faciales con Kinect SDK. You'll nd the very detailed documentation on the OpenCV cv::FaceRecognizerat: FaceRecognizer - Face Recognition with OpenCV { FaceRecognizer API { Guide to Face Recognition with OpenCV { Tutorial on Gender Classi cation. It is free for both commercial and non-commercial use. Before you ask any questions in the comments section: Do not skip the article and just try to run the code. 2 C++ interface for face recognition functionality. Then, it compares the current face with the one it saved before during training and checks if they both match (its nerdy name is face recognition) and, if they do, it unlocks itself. The FaceRecognizer class is capable of implementing three different facial recognition algorithms, Eigen, Fisher, and Local Binary Patterns Histogram (LBPH),. Python web application for a smart lock powered by Raspberry Pi. Face Recognition Documentation, Release 1. Its full details are given here: Cascade Classifier Training. Download Open CV Package 3. OpenCV already contains many pre-trained classifiers for face, eyes, smile etc. SOURCE CODES. On localhost, everything is working how it suppose to but on Heroku, I can't open client camera. [1] Despite the fact that other methods of identification can be more accurate, face recognition has always remained a major focus of. 7 – Acceder a la cámara web de los clientes desde el servidor Flask. Steps for practicing gender and age detection python project. This is a simple example of running face detection and recognition with OpenCV from a camera. Real face recognition is complicated and requires a large set of training images. OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. Among these, face recognition plays a vital. This is basically the guide to build an API for the same which can be deployed later as per your convenience. More specifically, the recognition. Face Detection, Face Recognition OpenCV Python Tutorial: Computer Vision With OpenCV In Python ☞ A guide to Face Detection in Python ☞ Face Detection using Open-CV ☞ A guide to Face Detection with Golang and OpenCV. Hanzra Tech. Tensorflow is the obvious choice. Control of your Appliances and IoT Devices at your Fingertips with Flask. Concurrent C++ OpenCV Video Streaming. Linux Kernel. Send and receive images using Flask, Numpy and OpenCV - client. Given a new image of a face, we need to report the person's name. In this project equalize histogram function of opencv is used to decrease the effect of the ambient light. I'm trying to make web app using OpenCV, Flask, Face Recognition hosted on Heroku. Never heard of. The auto build script comes in form of the opencv-build npm package, which will run by default when installing opencv4nodejs. However, it is acceptable to use facial recognition for monitoring. When a face is recognized (the face is existing or stored in the file folder). # module and library required to build a Face Recognition System import face_recognition import cv2 # objective: this code will help you in running face recognition on a video file and saving the results to a new video file. In this section you will object detection techniques like face detection etc. this is a demo of realtime face recognition using cnn and opencv base on web app. The advantage of installing this system on portable Raspberry Pi is that you can install it anywhere to work it as surveillance system. Mastering Opencv Android Application Programming This book list for those who looking for to read and enjoy the Mastering Opencv Android Application Programming, you can read or download Pdf/ePub books and don't forget to give credit to the trailblazing authors. If it is present, mark it as a region of interest (ROI), extract the ROI and process it for facial recognition. OpenCV always proves beneficial in face recognition and eye detection module. Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software. Get this from a library! Mastering OpenCV with practical computer vision projects : step-by-step tutorials to solve common real-world computer vision problems for desktop or mobile, from augmented reality and number plate recognition to face recognition and 3D head tracking. Script 2 face/eyes/output video/tracking overlay:. 9 with externally installing Face Recognition API. Hello everyone, this is going to be an in-depth tutorial on face recognition using OpenCV. Face Recognition using Deep Learning. Hi,I am trying to write an application to do face recognition with Intel NCS2 stick on Intel i7 PC. 2019-09-18 face-recognition python numpy arrays matrix. In this section you will object detection techniques like face detection etc. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. OpenCV, the most popular library for computer vision, provides bindings for Python. Runs on a Raspberry Pi. The computer vision projects are divided into easily assimilated chapters with an emphasis on practical involvement for an easier learning curve. OpenCV comes with three algorithms for recognizing faces: Eigenfaces, Fisherfaces, and Local Binary Patterns Histograms (LBPH). Python multiple face recognition course covers every single topic related to face recognition software development. We won’t go into what a “match” is here in detail — you can check the. So I have decided to turn this document into a guide on Face Recognition withGNU Octave/MATLABonly. 0 version was released in 2006. We want open the door only for our colleagues here at the Octavo System offices and ask others to wait for someone to open the door. Face recognition with OpenCV, Python, and deep learning. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android. October 21, 2018 gooshi_addu 0. However, it is still an active research topic due to the. Then I am hoping to return the images from the database whose faces match the sample image's face. For the facial recognition, we chose to use OpenCV library to realize the image processing and face recognition tasks. Iván has 5 jobs listed on their profile. import face_recognition image = face_recognition. Learn about data pre-processing, model Evaluation, hyper-parameter tuning and evaluation metrics like precision/recall, ROC Curves, IoU etc. OpenCV comes with three algorithms for recognizing faces: Eigenfaces, Fisherfaces, and Local Binary Patterns Histograms (LBPH). openCV is a cross platform open source library written in C++,developed by Intel. The facial recognition has been a problem worked on around the world for many persons; this problem has emerged in multiple fields and sciences, especially in computer science, others fields that are very interested In this technology are: Mechatronic, Robotic, criminalistics, etc. images that don’t contain a face). The FaceRecognizer class is capable of implementing three different facial recognition algorithms, Eigen, Fisher, and Local Binary Patterns Histogram (LBPH),. 4 include Face Recognition API, things change a little bit. Detection is simply detecting a face in an image or video. Face Recognition with Machine Learning in OpenCV – Fusion of the results with the Localization Data of an Acoustic Camera for Speaker Identification. 08, IssueNo. Take a look at the next tutorial using facial landmarks, that is more robust. OpenCV (Open Source Computer Vision Library: http://opencv. Python web application for a smart lock powered by Raspberry Pi. Face Recognition OpenCV 2. OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. x version : python 2. I have had a lot of success using it in Python but very little success in R. OpenCV is a computer vision library that's written in C++ and had Python bindings. FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff [email protected] Tensorflow is the obvious choice. This is basically the guide to build an API for the same which can be deployed later as per your convenience. Face Recognition. Mastering Opencv Android Application Programming This book list for those who looking for to read and enjoy the Mastering Opencv Android Application Programming, you can read or download Pdf/ePub books and don't forget to give credit to the trailblazing authors. I'm trying to write a flask app that runs & manages opencv processes to record remote camera feeds (mjpg) files locally. Let’s improve on the emotion recognition from a previous article about FisherFace Classifiers. The library Allows you to use human face as a password to authorize at your web site Can be integrated into any ASP. Not bad for 48 hours of work if I don't say so myself (6 actual hours more or less when you throw away distractions). The tech: Python, OpenCV, and Flask. Locate faces on large images with OpenCV. I know I need javascript or WebSocket to achieve this. by Manish Bansal Facial recognition using OpenCV in Java source: https://statescoop. Basic understand of OpenCV face recognition software and algorithms. When a face is recognized (the face is existing or stored in the file folder). Android opencv raspberry pi java 얼굴인식 picam google C# camcv raspberry pi2 라즈베리파이 J-query face detect swing Jessie do it android gps java swing raspberrypi weather geocoding map reverse geocoding widget 기상청 Face Recognition google app engine java gui mylocation 날씨어플 Happiness of Life api v3 calander english word. 1 for android? I'm having some problems because i'm trying to perform a face recognition with these methods but i do not really know what results the method PCAProject returns My goal is to calculate the euclidean distance from projected training images and the new projected image. The software used includes OpenCV, Linux, Python, etc. Using Deep Learning(part of AI), provided with the sufficient data a Facial Recognition System can be built simply. Video Streaming with Flask view source The world’s simplest facial recognition api. It detects facial features and ignores anything else, such as buildings, trees and bodies. PWM Driver built on Threads in Linux Kernel Module on. Creating a face detection API with Python and OpenCV (in just 5 minutes) After getting a ton of awesome reader feedback on the step-by-step tutorial on installing OpenCV on your Raspberry Pi 2/B+, I decided to take the same approach to this tutorial — I've created 8 simple, bite size steps to get your own face detection API up and running. Recently, I wanted to perform Face Recognition using OpenCV in Python but sadly, I could not find any good resource for the same. I know I need javascript or WebSocket to achieve this. I am surprised how fast the detection is given the limited capacity of the Raspberry Pi (about 3 to 4 fps). 08, IssueNo. 7 •macOS or Linux (Windows not officially supported, but might work). I'm trying to write a flask app that runs & manages opencv processes to record remote camera feeds (mjpg) files locally. We will start with the equivalent Hello world application using OpenCV and Flask. 7 •macOS or Linux (Windows not officially supported, but might work). OpenCV implementation Using a face detector Example code, step-by-step. cpp, by Shervin Emami (www. We offer the following content, published elsewhere on the Alliance website, to assist you in rapidly. Webcam Video Access with OpenCV on Raspberry Pi. It supports the deep learning frameworks TensorFlow. Face recognition library will give you access to use the face detection model. We'll start with a brief discussion of how deep learning-based facial recognition works, including the concept of "deep metric learning". jpg") face_landmarks_list = face_recognition. ImageDraw import face_recognition. x versions of the library. Hello everyone, this is going to be an in-depth tutorial on face recognition using OpenCV. In this tutorial, we will learn Face Recognition from video in Python using OpenCV. Iván has 5 jobs listed on their profile. • Face detection/recognition – what’s all about? • Pioneers in face recognition • Add value to your media apps • What we want to…. 15 Saturday Jun 2013. I really liked it and I want to use it but the problem is I am planning to use PHP for server backend and OpenCV is in C++. 2 C++ interface for face recognition functionality. [1] Despite the fact that other methods of identification can be more accurate, face recognition has always remained a major focus of. OpenCV is released under a BSD license so it is used in academic projects and commercial products alike. Linux Kernel. I'm trying to make web app using OpenCV, Flask, Face Recognition hosted on Heroku. The idea is to be able to get as input an image (i. org) is an open-source BSD. Read more Conference Paper. Face recognition with OpenCV, Python, and deep learning. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. This example is a demonstration for Raspberry Pi face recognition using haar-like features. This library is supported in most of the operating system i. In this section you will object detection techniques like face detection etc. This is a simple example of running face detection and recognition with OpenCV from a camera. With the development of computer vision, machine learning, and deep learning, face recognition has become a hot topic. com Google Inc. We won’t go into what a “match” is here in detail — you can check the. Install all the dependencies it has : opencv 2. So, Our GoalIn this session, 1. images that don't contain a face). Given a new image of a face, we need to report the person's name. Face detector is based on SSD framework (Single Shot MultiBox Detector), using a reduced ResNet-10 model. Matlab Toolbox for Face recognition research. Q&A Reconocimiento de expresiones faciales con Kinect SDK. It features facial recognition for security. A minimal example to introduce OpenCV and Flask Script hello_opencv. NET or PHP web application Is based on Silverlight 4 runtime, detects and verifies face in real time Supports DirectShow-compatible web cameras. load_image_file ("your_file. The technique it uses for facial recognition is a classifier that comes bundled with OpenCV called a Haar Classifier, so I didn’t need to even train the classifier to just get something to run. Example of Python with Opencv and camera face detection - python_opencv_camera. Simple Home-Surveillance with OpenCV, Python and Flask on Raspberry Pi. This tutorial is a follow-up to Face Recognition in Python, so make sure you’ve gone through that first post. Opencv-Face-Recognition has the following Java source files. Face recognition with Python & OpenCV in just 5 minutes. , trying to work out who someone is from a photograph — but it’s the first. Facial recognition for authentication (e. Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python. OpenCV is a highly optimized library with focus on real-time applications. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. OpenCV and the Face Recognition Algorithm. org) is an open-source BSD. flask-realtime-face-detection-opencv-python. I'm trying to write a flask app that runs & manages opencv processes to record remote camera feeds (mjpg) files locally. OpenCV already contains many pre-trained classifiers for face, eyes, smile etc. In this article, you will learn how to build a simple face recognition application. (py3) $ pip install opencv-python (py3) $ pip install opencv-contrib-python (py3) $ pip install dlib (py3) $ pip install face_recognition (py3) $ pip install flask Flask 패키지는 face recognition과 직접적인 관련은 없지만, 동영상을 스트리밍하기 위해 설치하는 것입니다. OpenCV, Flask web server. For more information on the ResNet that powers the face encodings, check out his blog post. Face Recognition with OpenCV. 0 version was released in 2006. face_landmarks (image). I can implement Face detection Algorithm within a day. 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. To create a complete project on Face Recognition, we must work on 3 very distinct phases: Face Detection and Data Gathering; Train the Recognizer; Face Recognition. Install dlib and face_recognition on a Raspberry Pi. I am working on OpenCV2. More specifically, we are going to see how to work with pre-trained deep learning architectures included in Keras and, then, we will see how to create a deep learning API using these pre-trained deep learning architectures. #How to use it. Here’s what it looks like. I'm trying to write a flask app that runs & manages opencv processes to record remote camera feeds (mjpg) files locally. Face Recognition is a computer vision technique which enables a computer to predict the identity of a person from an image. Iván has 5 jobs listed on their profile. I couldn’t find any tutorial on how to perform face recognition using OpenCV and Java, so I decided to share a viable solution here. OpenCV is a great library for creating Computer Vision software using state-of-the-art techniques, and is freely available for Windows, Linux, Mac and even Android & iPhone. FACE DETECTION IN OPENCV OpenCV (Open Source Computer Vision) is a library of programming functions for real -time. For the contributed materials to be useful to a wide audience with various levels of expertise, we would like to encourage extensive commenting of the codes and detailed header at the beginning of each file. face_landmarks (image). In my last post we learnt how to setup opencv and python and wrote this code to detect faces in the frame. OpenCV is a computer vision library that's written in C++ and had Python bindings. images containing a face) and negative images (e. Face recognition is a recognition technique used to detect faces of individuals whose images are saved in the dataset. 10 for Raspberry Pi. PWM Driver built on Threads in Linux Kernel Module on. 0 version was released in 2006. i created the web of the production using python web flask (flask_login, flask bcrypt, flask_upload, flask_wtf. Video Streaming with Flask view source The world's simplest facial recognition api. We will start with the equivalent Hello world application using OpenCV and Flask. Hi everyone, I would like to know if it is possible to run this code in my Flask app and turn on users camera to detect their faces. Implementation using Python in a Linux-based environment. learn to create haar cascade OpenCV, Detecting Face in image, Importing OpenCV & more. PWM Driver built on Threads in Linux Kernel Module on. 4 now comes with the very new FaceRecognizer class for face recognition. CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition. com Google Inc. Face Detection with OpenCV-Python. get latest master branch for both opencv and opencv_contrib, rerun cmake && make && make install. Before you ask any questions in the comments section: Do not skip the article and just try to run the code. Face recognition with Python in an hour (or two) OpenCV reads images in BGR format, face_recognition in RGB. It is free for both commercial and non-commercial use. Face detection can be regarded as a more general case of face localization. NOTE: I MADE THIS PROJECT FOR SENSOR CONTEST AND I USED CAMERA AS A SENSOR TO TRACK AND RECOGNITION FACES. Faceplay – Recommendation of Songs using Facial Expressions. OpenCV is an incredibly powerful tool to have in your toolbox. 0 for Face detection and recognition in C#, emphasis on 3. Locate faces on large images with OpenCV. With Mastering OpenCV 4 – Third Edition, build face detection applications with a cascade classifier using face landmarks. To complete the scope of this article, we would be taking a step further. However, it is acceptable to use facial recognition for monitoring. Use the Easy Navigation button on the top bar to view all the posts at a glance related to openCV. Facial Recognition is also known as Face Recognition. I can implement Face detection Algorithm within a day. The objective of this post is to demonstrate how to detect and count faces in an image, using OpenCV and Python. Q&A Reconocimiento de expresiones faciales con Kinect SDK. I have been able to get the webcam to activate but so far have not been able to get the facial recognition even after searching and looking at documentation in context of integration with other IDE's ; Visual Basic, I cannot successfully obtain the facial recognition portion ; here is my code:. Face Recognition Documentation, Release 1. realtime face detection using python and opencv , webcam should be enabled to get it working. I have also installed Openvino toolkit to support for NCS2. The algorithm designed is context-aware. SOURCE CODES. you can use OpenCV to create one. png The following screenshort is generated from the image listed above. To recognize the face in a frame, first you need to detect whether the face is present in the frame. "Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary (digital) images. Fourcc H264. import face_recognition image = face_recognition. # Open the input movie file # "VideoCapture" is a class for video capturing from video files, image sequences or cameras. While that sounds like a big job, you can add face detection and recognition easily to your projects if you can support the OpenCV library. Software pengenal wajah bisa di kembangkan lebih luas lagi. Tutorial (C++ / Python) for reconstructing a face using EigenFaces. Send and receive images using Flask, Numpy and OpenCV - client. All that we need is just select the boxes with a strong confidence. Opencv-Face-Recognition has the following Java source files. Not bad for 48 hours of work if I don’t say so myself (6 actual hours more or less when you throw away distractions). Getting Started with OpenCV and Python: Featuring The Martian If you're curious to find out how to launch yourself into outer space and land on Mars, you've come to the right place. The model we will use in this article is MobileFaceNet, which is inspired by MobileNetV2. Originally developed by Intel, it was later supported by Willow Garage then Itseez. Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. The training is done using examples of positive images (e. Methods and Theory behind the EigenFace method for facial recognition. uhmm one favor, i only know basic android programming, can you help me find a link where i see some tutorial on how to install opencv. We will learn many algorithms implemented in OpenCV and how they are used to build real world applications like image classification, object detection, face recognition, and many more. However, it is acceptable to use facial recognition for monitoring. As such, let's build a simple age and gender detection model in this detailed article. Face Recognition is fascinating on and OpenCV has made it incredibly straightforward and easy for us to code it. Basic understand of OpenCV face recognition software and algorithms. NET compatible languages Face Recognition in C# - DZone IoT. The face recognition feature seems to be working fine on standard databases. - Local Binary Patterns with Python & OpenCV 3. The model has an accuracy of 99. pip install opencv-python.