Specify the font and draw the text using cv2.putText () cv2.putText. The parameter filepath to the imwrite () function is the location of the file in which the image is to be written or saved. The imwrite () function takes two parameters namely filepath and image. Inside an infinite while loop, Display the image and use cv2.waitKey () for a keypress. In order to write the images or save the images to the local file system, we make use of a function called the imwrite () function in OpenCV. Firstly, import libraries and read the image then initialize the counter that will be used for changing the position of the text. But before you add the actual text from a quick glance at the FONT. In fact, many times not only the geometric shapes are useful for adding information on an existing image, but also the texts can add a lot of information. Here is a sample code:Įlif k=-1: # normally -1 returned,so don't print itĬv2.putText(img, chr(k), (i, 50), font, 1, (0, 255, 0), 1, cv2. In this project, we will see how to write text on the image. Last part of this article is about writing text on the images. For every character typed the image would be updated in a while loop. The full code to add the text, 'Arnold', to this image is shown below. If you want to see the original image, it is at the following link: Hey Arnold. Draw text on image using putText () method. The next image shown below is an image loaded from a wiki page from the internet with text added to it with OpenCV. Img2 is default output and the img2 is produced when we set bottomLeftOriginTrue. The difference of the output is shown as below. Steps: First we will create a image array using np.zeros () We will define a rectangle around the text using cv2.rectangle () After that we will put a text using cv2.putText () Then display the image using cv2.imshow () Wait for keyboard button press using cv2. In line 7 we set the bottomLeftOriginTrue. ![]() It is capable of (1) running at near real-time at 13 FPS on 720p images and (2) obtains state-of-the-art text detection. OpenCV’s EAST text detector is a deep learning model, based on a novel architecture and training pattern. I used the chr() function to enter the values of the keys being entered. Line 6 and 7: The putTex () function is used to insert text on the image. In this tutorial you will learn how to use OpenCV to detect text in natural scene images using the EAST text detector.
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