Save Image Opencv Python








	if success, congritulation your OpenCV package allready installed. You can put just the title of the image and the format (example. …It takes an image path as the input argument,…performs the facial detection,…and returns the json output data. The Mustache Image. Second one, load the file saved in the previous script and draw the contours on the same image used in step 1. OpenCV-Python Tutorials  You can zoom images, save it etc using Matplotlib. Building the application. Please find the attached same image with this job. Wikipedia can help you. 0 and Python 2. Unable to open video files with. We don't have to launch this cell once more to try the same procedure with the image, just change wanted values and push the button. So I have to do some basic jobs and implement. imwrite('bike. It is also possible to load image files as ndarray using Pillow instead of OpenCV. When working with OpenCV Python, images are stored in numpy ndarray. 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. With Python using NumPy and SciPy you can read, extract information, modify, display, create and save image data. Obrigado pelo seu tempo. imread(path, option) 関数を使う.これはNumpyのarrayを返す. 	Congrats, you have learnt to read, display and save an image in OpenCV Python. imread("kids. scikit-image is a collection of algorithms for image processing. We can load any image file in Opencv C++, python or android. pgm image of specific size for FaceRecognizer in python. Try entering the command python and hitting return. It is available free of charge and free of restriction. The Image Processing Toolbox in MATLAB has this very useful utility called as ginput, which allows manually picking co-ordinate points from an image. by Kardi Teknomo. In this tutorial, we shall the syntax of cv2. python peopleCounter. Write this code. It’s used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. read() gr =. Each image overwrites the previous one. 		Even if you're using the Python Imaging Library (PIL) to draw on. Save my name, email, and website in this browser for the next time I comment. In this demo, you will acquire color frame from the RealSense camera and display it using OpenCV. In this post I'm going to explore some other uses, and provide lots of example code. In the fourth chapter, you learn the basics of images from the point of view of OpenCV. Some of the operations covered by this tutorial may be useful for other kinds of multidimensional array processing than image processing. We can show any format of image in opencv like JPG and PNG. OpenCV - Saving images to a particular folder of choice. Take a look in the OpenCV website and tutorials for further information. Xiao Ling / August 21, 2017 August 20, 2017 / OpenCV / DirectShow, OpenCV, OpenCV-Python, Python 2 comments Using OpenCV APIs to capture video from a camera is convenient. 목표 여기에서 이미지를 읽는 방법, 이미지를 표시하는 방법 및 이미지를 다시 저장하는 방법에 대해 배웁니다. Building the application. This is useful for converting between different image formats, but more importantly it is helpful for saving off your data when you need to. I captured some images from my webcam and saved them. Introduction. so in an 24 bit color image the first 8 bits are blue components,2nd byte is green and third one is red. About tags now imwrite OK 2d-image why not but pattern matching No. getImage() img. Session 6: OpenCV: Read Load and Save Image - Sample Program Then in the next session, we will use the OpenCV. Write this code. 	Using the editor of your choice create BGR_sample. Reading and Writing a FITS File in Python. opencv image processing. *Note: Put everything in a folder both the Python files, HaarCasCade XML file and face_data. Then, we'll save. In this blog, we will do a small project using OpenCV-Python where we will be creating video from image sequences. imread(path, option) 関数を使う.これはNumpyのarrayを返す. If you are on Insecam, make sure to grab the url associated to the image itself rather. OpenCV provides a very simple interface to this. save('resized_image. a source image (image) a destination image (gray_image), in which we will save the converted image. 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. Python provides lots of libraries for image processing, including − OpenCV − Image processing library mainly focused on real-time computer vision with application in wide-range of areas like 2D and 3D feature toolkits, facial & gesture recognition, Human-computer interaction, Mobile robotics, Object identification and others. 7), OpenCV (python-opencv using apt-get on Ubuntu), and some sort of webcam. One way to do it is to download the image, save it as a jpeg file, and then read it in OpenCV. In OpenCV, the image size (width, height) can be obtained as a tuple with the attribute shape of ndarray and the attribute size of PIL. 		First, let’s create a file called faceDetection. OpenCV tutorial: Computer vision with Node. The module also provides a number of factory functions, including functions to load images from files, and to create new images. For python it is the best use of api for computer vision and image processing. OpenCV Complete Dummies Guide to Computer Vision with Python Download Free Includes all OpenCV Image Processing Features with Simple Examples. Video Analysis using OpenCV-Python. The original image is resized and scaled down as OpenCV's methods may not perform accurately for very large dimensions. Updated 17 February 2019. In particular, the submodule scipy. In this demo, you will acquire color frame from the RealSense camera and display it using OpenCV. #include  using namespace cv; int main(int argc, char **argv){char *imageName = argv[1]; Mat image; image = imread(imageName, 1); // 이미지. I'm not sure why that is the case. We will run a simple example of OpenCV to load an image, then show that image using the Image Viewer feature of OpenCV and we will save that image in a separate format. A portable interface to JPEG image files is available with the Python Imaging Library (PIL) by Fredrik Lundh. Then, we'll save. 	Capture Video from Camera¶. How to process an image file in Python Spyder 3. OpenCV Python on Snow Leopard Install Headache. Install Python. fromarray(). Despite the obvious goal of selling books and stuff. Here we will stick with single camera which is the default capture device(The webcam in a laptop/the usb webcam in a desktop PC). resize() function. The first phase uses camera to capture the picture of our faces which generates a feature set in a location of your PC. OpenCV is a powerful open source tool used in a variety of video products in commercial and private use. To me, the underlying feeling here is that this kind of thing should be frowned upon. 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. import time. I think your question is off-topic. But they are being saved by default into the local folder. @cgohlke However, i have to change the image to rgb and do some operation with opencv. Also aspect ratio of the original image could be preserved in the resized image. Organizing information (eg, indexing databases of images and image sequences) 3. In this chapter, we are going to learn how to apply cool geometric effects to images. 		The original image is resized and scaled down as OpenCV's methods may not perform accurately for very large dimensions. By the end of this chapter, you will know:. If you are on Insecam, make sure to grab the url associated to the image itself rather. OpenCV has a really nice function to do this kind of transformations: cvtColor( image, gray_image, CV_BGR2GRAY ); As you can see, cvtColor takes as arguments: a source image (image) a destination image (gray_image), in which we will save the converted image. Save my name, email, and website in this browser for the next time I comment. 图片人脸检测合理的创建标题,有助于目录的生成如何改变文本的样式插入链接与图片如何插入一段漂亮的代码片生成一个适合你的列表创建一个表格设定内容居中、居左、居. Images are read as NumPy array ndarray. i had this question and found another answer here: copy region of interest If we consider (0,0) as top left corner of image called im with left-to-right as x direction and top-to-bottom as y direction. We will discuss how to install the necessary tools and packages as well. OpenCV is a highly optimized library with focus on real-time applications. You can put just the title of the image and the format (example. Softwares and packages required:. First, let's create a file called faceDetection. This post shows that how to convert images from video and video from images using OpenCV library in Python. Using OpenCV to input a video file and to read each frame then save it to a image file with a Python script. But they are being saved by default into the local folder. If the user presses key 's', then the image is saved into a new image file with. We will run a simple example of OpenCV to load an image, then show that image using the Image Viewer feature of OpenCV and we will save that image in a separate format. 	png") SimpleCV image. copy an image file to project facedetector folder. tostring() cols,rows=pil_image. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision. Image Processing with Python Desert Py Meetup  OpenCV-Python is the Python API of OpenCV  Color image loaded by OpenCV is in BGR mode. - [Instructor] My faces. Its now used in Convenience stores, Driver-less Car Testing, Security Access Mechanisms, Policing and Investigations Surveillance, Daily Medical Diagnosis monitoring health of crops and live stock and so on and so forth. In this post we will see how to use some of the basic functions of OpenCV in Python. import numpy as np. resize and get hands-on with examples provided for most of the scenarios encountered in regular usage. imwrite() to read (load) and write (save) image files with Python, OpenCV. 1 with Python 3 on latest Pi operating system, Raspbian Stretch. We do this by using cv2. It doesnot have to be shorter as long as its much better. python - PIL画像からOpenCV画像を作成する方法; バイナリで画像を処理した後に輪郭を視覚化するためにOpenCV(Python)でグレースケール画像をどのようにRGBに変換するのですか? python - openCVを使って透明な画像を別の画像に重ね合わせる. このページでは、Python版OpenCVを用いて、画像を読み込む方法を紹介します。. 7 on Windows, you are in the right place. It's used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. 		This is a short tutorial about using Tkinter, the default Python GUI library, with OpenCV. OpenCV-Python Tutorials  You can zoom images, save it etc using Matplotlib. imwrite() function on OpenCV library. IT was designed for computational efficiency and with a strong focus on real-time applications, video and image processing. In OpenCV, the image size (width, height) can be obtained as a tuple with the attribute shape of ndarray and the attribute size of PIL. Here is an example: cv2. It reads an image from a file, displays the image, the Harris corner detector on that image and the Canny edge image: (save this in a file named tmp. So let’s start learning how to detect color using OpenCV in Python. Syntax of cv2 imwrite() The syntax of imwrite() function is: where path is the complete path of the output file to which you would like to write the image numpy array. OpenCV Python – Save Image While working with images in Image Processing applications, it is quite often that you need to store intermediate results of image transformations or save the final resulting image. python - PIL画像からOpenCV画像を作成する方法; バイナリで画像を処理した後に輪郭を視覚化するためにOpenCV(Python)でグレースケール画像をどのようにRGBに変換するのですか? python - openCVを使って透明な画像を別の画像に重ね合わせる. png setado para o local do arquivo de origem do projeto no seu disco local. The image below shows an example of a picture suffering from such noise: Now, let's write a Python script that will apply the median filter to the above image. OpenCV supports algorithms that are related to machine learning and computer vision. Python | OpenCV program to read and save an Image OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. This post helps you to load,display and save an image using python and openCV. So we decide to implement this OpenCV algorithm in order to make. 	cvtColor is an OpenCV function to convert images to different color spaces. bash_profile for Mac. cpp and copy-paste the following code-snippet:. OpenCV numpy image tranformation efficiency [closed]  Saving images using Opencv in python. import image(cv2. The project is mainly a method for detecting faces in a given image by using OpenCV-Python and face_recognition module. Well, we need to sort any picture distortion - such as straight lines appearing curved, or some areas of image appearing closer than expected - before we start to render our 3D objects. Its steps are very simple and easy. Create New python file, set name with load-image. In this post, we will write 2 python scripts - First one, to load a image, extract the keypoints and save them in a file. The second argument specifies the way the image is read. In this tutorial, we shall the syntax of cv2. It's fairly common to want to mark detected objects in some way, so we the humans can easily see if our programs are working as we might hope. THRESH_BINARY_INV|cv2. Before getting started, let’s install OpenCV. 		Flip Image OpenCV Python October 7, 2016 Admin 2 Comments OpenCV provides the flip() function which allows for flipping an image or video frame horizontally, vertically, or both. 7), OpenCV (python-opencv using apt-get on Ubuntu), and some sort of webcam. Thanks for your reply. There is no person and car in this image ( Actually it is there, have a close look, then you will see it, and the person is more clear. How to install Python on Windows?. Python OpenCV: Saving an image to the file system Introduction. 3D Reconstruction With OpenCV and Python  Save. Python OpenCV - show an image in a Tkinter window Posted on April 20, 2018 by Paul. Write this code. THRESH_OTSU) to get the image in only pure white and pure black. We will run a simple example of OpenCV to load an image, then show that image using the Image Viewer feature of OpenCV and we will save that image in a separate format. The aim of this page is not to teach how to program in Python. In this tutorial, you will learn how you can process images in Python using the OpenCV library. But it's a ridiculous connotation really, if we as a world want good educators we need to be willing to pay a decent amount for it. Opencv example Here's a short example showing how to use openCV with Python. whl 等をダウンロードします。. Some external libraries such as numpy and matplotlib will also be used to get our task done. OpenCV is a library of cross platform programming functions aimed at real time Computer Vision. 	copy an image file to project facedetector folder. Also, the aspect ratio of the original image could be preserved in the resized image. Mat cv::imread ( const String & filename, int flags = IMREAD_COLOR ) // Read image. imwrite() - Save Image In our previous tutorial - cv2 imread() , we learned to read an image into a matrix. The Image Processing Toolbox in MATLAB has this very useful utility called as ginput, which allows manually picking co-ordinate points from an image. Computer Vision is an AI based, that is, Artificial Intelligence based technology that allows computers to understand and label images. OpenCV-Python is the python API for OpenCV. 今回から参考にするページはコチラです。 Getting Started with Images — OpenCV-Python Tutorials 1 documentation. The course is ideal for anyone looking to do a crash course on image processing using the OpenCv framework in python. Here I will show how to implement OpenCV functions and apply it in various aspects using some examples. build problems for android_binary_package - Eclipse Indigo, Ubuntu. A sample input…. If you continue browsing the site, you agree to the use of cookies on this website. Despite the obvious goal of selling books and stuff. python peopleCounter. 		The course is ideal for anyone looking to do a crash course on image processing using the OpenCv framework in python. This guide doesn't introduce any new OpenCV functions you shouldn't already be familiar … Continue reading Open Multiple Images with OpenCV in Python →. Wikipedia can help you. To do that, as of OpenCV v2, you can use the NumPy array as an intermediary format between the two libraries, where NumPy can convert PIL data into the. Face Detection in R. When working with OpenCV Python, images are stored in numpy ndarray. Related post: Convert BGR and RGB with Python, OpenCV (cvtColor) Save ndarray as an image file with cv2. We can load any image file in Opencv C++, python or android. OpenCV has a really nice function to do this kind of transformations: cvtColor( image, gray_image, CV_BGR2GRAY ); As you can see, cvtColor takes as arguments: a source image (image) a destination image (gray_image), in which we will save the converted image. One way to do it is to download the image, save it as a jpeg file, and then read it in OpenCV. 7), OpenCV (python-opencv using apt-get on Ubuntu), and some sort of webcam. In addition, OpenCV offers support to many programming languages such C++, Java, and of course, Python. I hope no explanations needed except the use of '0' as argument to cv2. Please modify the code below to show the image in Fig 1. Introduction. As an OpenCV novice, I searched Google to help me get started with the Python OpenCV code. A brief description of both is given below. 	For details on JPEG or the Independent JPEG Group software refer to the JPEG standard or the documentation provided with the software. Opencv example Here's a short example showing how to use openCV with Python. • The face_recognition command lets you recognize faces in. In here we need to three process for import and show image. Python Program To Crop Image Using OpenCV. 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. If Python is installed and configured, you should see the python version information. When working with OpenCV Python, images are stored in numpy ndarray. I encourage you to google them , there are lots and lots of examples and code snippets. getImage() img. An example of this would be one of the. In this article, I install the Raspberry Pi Camera which I will be using to add camera vision to a robot. When I run a script with this array, I'd like it to create a PNG image with each zero interpreted as a white square and each one interpreted as a black square. a source image (image) a destination image (gray_image), in which we will save the converted image. 목표 여기에서 이미지를 읽는 방법, 이미지를 표시하는 방법 및 이미지를 다시 저장하는 방법에 대해 배웁니다. A popular computer vision library written in C/C++ with bindings for Python, OpenCV provides easy ways of manipulating color spaces. Installation Ubuntu 16. So we decide to implement this OpenCV algorithm in order to make. 		It's a foundational pillar in research and understanding for my line of work as machines often have to make a lot of their decisions based off image data alone. If Python is installed and configured, you should see the python version information. Image Classification in Python with Visual Bag of Words (VBoW) Part 1. To start with, we would have to first install opencv on our machines, which can only be done if you have Python installed. Related post: Image processing with Python, NumPy (read, process, save) The follo. The Python Imaging Library adds image processing capabilities to your Python interpreter. png If you wish to take images from your camera instead of a local file, just simply run the command below:. In this case we use CV_BGR2GRAY (because of imread has BGR default channel order in case of color images). png") Luckily for us, OpenCV already got QR code detector built in:. Take a look in the OpenCV website and tutorials for further information. Email * Website. Capture an image by accessing the webcam of your system and save it to your machine. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. The first phase uses camera to capture the picture of our faces which generates a feature set in a location of your PC. Also, to maximise the performance of OpenCV and Camera, I will be using a utility to add multithreading to the Python applications. So, learning and mastering this fantastic. *Note: Put everything in a folder both the Python files, HaarCasCade XML file and face_data. (image ,document any file) file and save in to sqlite or sqlite3 database. 	bash_profile for Mac. open('Image. OpenCV-Python -11 : Geometric Transformations of Images  But when the image is zoomed, it is similar to the INTER_NEAREST method. THRESH_OTSU) to get the image in only pure white and pure black. By becoming familiar with these characteristics of using Python and OpenCV, you will be able to jump around to different concepts more easily. You may find many instructional videos about how to use Python for everyday tasks, but actually finding a detailed guide about how to build a desktop application using Python is quite difficult. Before getting started, let’s install OpenCV. Saving an image is a very commonly used feature, as we may need to update our image and save the changes to the file system for later use. The Image Processing Toolbox in MATLAB has this very useful utility called as ginput, which allows manually picking co-ordinate points from an image. we need to train the Images present in the face_data for training. OpenCV Resources Reading and Writing Images Write an Image Use the function cv2. After spending days trying to get OpenCV3 to install on Raspbian Stretch, always failing, I thought it would massively help if there's an image with OpenCV pre-installed, which would save several h. The following sample OpenCV python code explain how to open the device video node, set the resolution, grab the frame and then display the frame in preview window. The original image is resized and scaled down as OpenCV's methods may not perform accurately for very large dimensions. imwrite) first lets we know how to import image #import numerical operation import numpy as np #import opencv import cv2 #read image from loction where we have. python string and Qt string (QString) QPixmap, QBitmap and QImage; Setting rectangle to choose crop area; converting pixmap image to qimage; Converting from qimage to pil image; Resize image in opencv; crop image in opencv; Opening Qt loaded file in PIL; PIL to Qimage converter; PIL to IPL and IPL to PIL converters January (1) 2009 (3). OpenCVで読み込んだカラー画像はBGRモードで読み込まれます.しかし, Matplotlib は画像をRGBモードで表示します.そのため,OpenCVを使って読み込んだ画像を表示しようとすると,色成分がおかしな表示になってしまいます.詳細については以下のexercisesを参照. You gonna need a sample image to test with, make sure it has clear front faces in it, I will use this stock image that contains two nice lovely kids: # loading the test image image = cv2. Steps: Fetch all the image file names using glob; Read all the images using cv2. Building the application. 		The image for the mustache is in the public domain, released under the Creative Commons Deed CC0, provided by PixBay. ICEauthority file  OpenCV Python Examples (Camera Capture) OpenCV Python Examples (Showing Image). 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. Also we can press 's' key to save raw camera image or impro function return value (but only when own_window=False) to image_folder. how to add custom Keras model in OpenCv in python; How to copy a image region using opencv in python? Can't Save or Restore Model in Tensorflow; cv2. Install Python. Specify the file path and ndarray object. Introduction. In the fourth chapter, you learn the basics of images from the point of view of OpenCV. In this blog, we will do a small project using OpenCV-Python where we will be creating video from image sequences. In this Python tutorial, we will write a Python program for face and eye detection using OpenCV. Among them, scikit-image is for image processing in Python. Video Analytics Using OpenCV and Python Shells course contains all basic and advance information related to video analytics. Read, display, and save images using OpenCV. …Scrolling down, on line 51, is the main function…that gets called. I only used OpenCV before to do template matching with normalized cross correlation using cv2. Firstly set up the python environment and make sure that OpenCV and NumPy are being installed on your PC as NumPy is also a need for working with OpenCV. (Thanks @HKoshdel point it out) Use Hough Transformation to find the curve lines in your image. VideoCapture(). 	This tutorial is a practice session of learning video processing using web camera in a laptop. Wrong PYTHONPATH after updating. When working with OpenCV Python, images are stored in numpy ndarray. 今回から参考にするページはコチラです。 Getting Started with Images — OpenCV-Python Tutorials 1 documentation. By the end of this chapter, you will know:. For this example, we will be using the OpenCV library. Note : As I mentioned in a previous post accessing Video files with audio channels using OpenCV does NOT work on windows. We create a sizable window that automatically scales the displayed image with the cv2. These glyphs (converted to CV images) are then used to train a K-Nearest model. The module also provides a number of factory functions, including functions to load images from files, and to create new images. Image in Pil. 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. OpenCV has been a vital part in the development of software for a long time. Let us look how to prepare a sample Python application to stream the camera using OpenCV. Real-Time Face Recognition Using Python And OpenCV. 		Python OpenCV: Saving an image to the file system Introduction. The project is mainly a method for detecting faces in a given image by using OpenCV-Python and face_recognition module. We can load any image file in Opencv C++, python or android. Load, Display and Save an image. This is where Python and the Python Imaging Library (or PIL) come in, allowing you to write scripts that process images in batch. " OpenCV can perform many tasks, from reading image files, performing color editings, to detecting faces efficiently. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. Navigation PyImageSearch Be awesome at OpenCV, Python, deep learning, and computer vision. You can vote up the examples you like or vote down the ones you don't like. Second one, load the file saved in the previous script and draw the contours on the same image used in step 1. You have to go a long way now with the same enthusiasm, and soon you will be able to work upon training your own image detectors, tracking objects and much more. The ability to add lines, circles and geometric shapes over an image is an operation that will prove very useful. 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. 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. See the image below: 12 Chapter 1. In here we need to three process for import and show image. convert to grayscale, crop it and save the image to the dataset. The image windows are closed at the end of the program. Basics of OpenCV : Playing with images and videos and perform simple operations like reading, writing, resizing, cropping etc. 	Handling images is the basic building blocks of the OpenCV library and we should understand how to manipulate the images on a pixel level. Facial detection in webcam with OpenCV and Python. Reading an image from a file is fairly straightforward in OpenCV-Python. Subscribe Now Filed Under: how-to Tagged With: imread , IMREAD_ANYCOLOR , IMREAD_ANYDEPTH , IMREAD_COLOR , IMREAD_GRAYSCALE , IMREAD_UNCHANGED , Read Image. THRESH_OTSU) to get the image in only pure white and pure black. 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. imwrite() function to save images. waitKey ( wait_time) #Check if ESC key is pressed. Organizing information (eg, indexing databases of images and image sequences) 3. In this post, we will write 2 python scripts - First one, to load a image, extract the keypoints and save them in a file. Normally, for loading and saving data, we will use cPickle package. In here we need to three process for import and show image. import numpy as np import cv2 from matplotlib import pyplot as plt img = cv2. if success, congritulation your OpenCV package allready installed. Face Recognition – OpenCV Python | Dataset Generator In my last post we learnt how to setup opencv and python and wrote this code to detect faces in the frame. In this post you will discover how to save and load your machine learning model in Python using scikit-learn. Video Analysis using OpenCV-Python. On Line 1 we import the opencv library. In the fourth chapter, you learn the basics of images from the point of view of OpenCV. The project is mainly a method for detecting faces in a given image by using OpenCV-Python and face_recognition module.