OPENCV WRITE TEXT ON IMAGE DOWNLOAD
Keras-ocr would automatically download the pre-trained weights for the detector and recognizer. In this case we will use the pre-trained model, which works fairly well for our task. Keras-ocr provides out-of-the-box OCR models and an end-to-end training pipeline to build new OCR models (see: ). The Implementation Brief overview of Keras-ocr Finally, apply an inpainting algorithm to inpaint the masked areas of the image, resulting in a text-free image, using cv2.Ī representation of the process from an image with text to a text-free image.For each bounding box, apply a mask to tell the algorithm which part of the image we should inpaint.Identify text in the image and obtain the bounding box coordinates of each text, using Keras-ocr.In order to erase text from images we will go through three steps:
Removing text can be useful for a variety or reasons, for example we can use the text-free images for data augmentation as we can now pair the text-free image with a new text.įor this tutorial we will use OCR (Optical Character Recognition) to detect text inside images, and inpainting - the process where missing parts of a photo are filled in to produce a complete image - to remove the text we detected.
OPENCV WRITE TEXT ON IMAGE HOW TO
In this article I will discuss how to quickly remove text from images as a pre-processing step for an image classifier or a multi-modal text and image classifier involving images with text such as memes (for instance the Hateful Memes Challenge by Facebook). Source: image by the author processing an image by morningbirdphoto from Pixabay. For more details for writing text on images using opencv, view official opencv documentation.An example of before and after removing text using Cv2 and Keras. We can increase font scale and thickness to increase font size and its area according to scale. So, this way we can use multiple font face for drawing on images using opencv. # iterate and draw text using all font face. Now we can also iterate over each of font face and view how it looks like for same text. Image = cv2.putText(image, "This text string is in center", (400, 300), font, font_scale, color, thickness) Image = cv2.putText(image, "This is some text", (80, 80), font, font_scale, color, thickness) Now we can write some text on image using opencv. Font Face provided by opencv are as follows.
In this tutorial we will write text on images using opencv cv2.putText() method.
We can write text with different size and style on images with different background and foreground styles using OpenCV. OpenCV can also be used to write text on images.