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Opencv write text on image how to#
Opencv write text on image download#

This second image should have the same dimensions as the input. The mask image, which shows where in the image the text that we want to remove is.The input image with the text we want to remove.When applying an inpainting algorithm using OpenCV we need to provide two images: Here is a quick example: import matplotlib.pyplot as plt import keras_ocr pipeline = keras_() #read image from the an image path (a jpg/png file or an image url) img = keras_(image_path) # Prediction_groups is a list of (word, box) tuples prediction_groups = pipeline.recognize() #print image with annotation and boxes keras_(image=img, predictions=prediction_groups)Ī representation of a text bounding box, and its coordinates. When passing an image through Keras-orc it will return a (word, box) tuple, where the box contains the coordinates (x, y) of the four box corners of the word.

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. 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.An example of before and after removing text using Cv2 and Keras.

For every character typed the image would be updated in a while loop.

I used the chr() function to enter the values of the keys being entered.