Then in that image, we need to find the position and bounding box information of that detected hand. Then we pass that image to the detector.findHands() in order to find the hand in the frame. Inside the while loop the main function takes place, first we read the real-time input frames and store it in a variable called img. L, _, _ = detector.findDistance(8,12, img, draw=False) If x < lmList Img = draw(img, buttonList) # change the draw funtion to transparent_layout for transparent keys LmList, bboxInfo = detector.findPosition(img) Main Program for Virtual Keyboard Using OpenCV Later we can pass this list to draw function to draw on top of our real-time frame. The above loop will loop through the keyboard keys and Button objects where we give position and text as inputs are appended in a list called button list. buttonList = įor x, key in enumerate(keyboard_keys):īuttonList.append(Button(, key)) Then we define a class called Button() and we give position, text and size as the inputs so that we can arrange the keyboard keys in a well-defined order. class Button():ĭef _init_(self, pos, text, size=): You can also try changing different colours. It will look something like the below images. It is in order to make our keyboard layout look better. Here Inside the draw() function, we are using cvzone’s cornerRect function to draw rectangle edges at the corner of each keys. Initialize the keyboard controller, and define a function with name draw() and it takes two arguments that is an image and the buttonList and return the image. Defining Draw Function keyboard = Controller() def draw(img, buttonList):ĬrnerRect(img, (button.pos, button.pos,īutton.size,button.size), 20 ,rt=0)Ĭv2.rectangle(img, button.pos, (int(x + w), int(y + h)), (255, 144, 30), cv2.FILLED)Ĭv2.putText(img, button.text, (x + 20, y + 65), Then we create an array of lists according to the layout of our keyboard and define an empty string to store the typed keys. We initialize HandDetector with detection confidence of 0.8 and assign it to the detector. Now let’s take real-time input from cv2.Videocapture detector = HandDetector(detectionCon=0.8) Here we are importing the HandDetector module from cvzone.HandTrackingModule and then in order to make the virtual keyboard work we need to import Controller from pynput.keyboard. Now let’s import the required modules import cv2įrom cvzone.HandTrackingModule import HandDetector > pip install pynput Import Libraries for Virtual Keyboard Using OpenCV Implementation of Virtual Keyboard Using OpenCVįirst, let us install the required modules. using which real-time computer vision applications are developed.ĬVzone is a computer vision package, where it uses OpenCV and Media Pipe libraries as its core that makes us easy to run like hand tracking, face detection, facial landmark detection, pose estimation, etc., and also image processing and other computer vision-related applications. OpenCV is the most popular library for the task of computer vision, it is a cross-platform open-source library for machine learning, image processing, etc. All other trademarks are property of their respective owners.This article was published as a part of the Data Science Blogathon Introduction Qt and respective logos are trademarks of The Qt Company Ltd. The documentation provided herein is licensed under the terms of the GNU Free Documentation License version 1.3 as published by the Free Software Foundation. Provides attached properties for customizing the virtual keyboardĭocumentation contributions included herein are the copyrights of Provides a data model for the selection listsĪ specialized MultiPointTouchArea for collecting touch input dataĪ specialized key for collecting touch input data Specialized number key for keyboard layouts Regular character key for keyboard layoutsĪllows dynamic loading of keyboard layoutĪcts as a hub for keyboard event notifications Hand writing mode key for keyboard layoutsīase type for creating input method in QML Provides a handwriting panel add-on for the virtual keyboard UI Provides attached properties for customizing the enter key
Virtualkeyboard mapping install#
Virtualkeyboard mapping software#
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