![]() More.ĬomputeNMChannels operation modes More. prototxt file with the model description can be found in opencv_contrib/modules/text/samples/textbox.prototxt. The original repository with the modified SSD Caffe version. This class uses OpenCV dnn module to load pre-trained model described in. This class is representing to find bounding boxes of text words given an input image. TextDetectorCNN class provides the functionallity of text bounding box detection. More.Īn abstract class providing interface for text detection algorithms. OpenCV in python helps to process an image and apply various functions like resizing image, pixel manipulations, object detection, etc. The ERStat structure represents a class-specific Extremal Region (ER). We covered the syntax of the cv2.putText() function along with various examples for a better understanding of beginners.Base class for 1st and 2nd stages of Neumann and Matas scene text detection algorithm. Hope you found this quick tutorial on writing text on images in OpenCV quite helpful. putText (img, text, org, fontFace, fontScale, Scalar color, int thickness) This method accepts the following parameters mat A Mat object representing the image to which the text is to be added. Also Read – Learn to Draw Rectangle in OpenCV Python using cv2.rectangle() with Examples OpenCV in python helps to process an image and apply various functions like resizing images, pixel manipulations, object detection, etc. You can add text to an image using the method arrowedLine () of the imgproc class. ![]() The second argument is the image that you want to display. Here’s the syntax: imshow (windowname, image) This function also takes two arguments: The first argument is the window name that will be displayed on the window. In the below example, we have created a black color rectangle and have written the text inside it by calculating the various coordinates.Ĭv2.rectangle(img3, (x,x), (x w, y h), (0,0,0), -1)Ĭv2.putText(img=img3, text="CAT",org=(x int(w/10),y int(h/1.5)), fontFace=cv2.FONT_HERSHEY_DUPLEX, fontScale=4, color=(255,0,0), thickness=7) In OpenCV, you display an image using the imshow () function. pip install OpenCV-python Or you can Install the full. We can create a small rectangle of the desired color on the image and put text on the rectangle. Installing required software for OCR pre-processing Install the main module of OpenCV using pip command. But there is a workaround for achieving this effect. OpenCV cv2.putText() does not have any built-in capabilities to have a background color for the text. In the below example, we split the text based on the newline character and then write each of the lines on the image in a loop.įor i, line in enumerate(text.split('\n')):Ĭv2.putText(img=img1, text=line, org=(150, y), fontFace=cv2.FONT_HERSHEY_SCRIPT_COMPLEX, fontScale=4, color=(255,255,0),Įxample – 3: Put Text with Background Color on Image in cv2.putText() We have to use certain workarounds to achieve this. OpenCV putText() function does not support writing text on multiple lines out of the box. These algorithms can be used to detect and recognize faces
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