I'm trying to follow the solution detailed at this question to prepare a dataset to train a CRNN for HTR (Handwritten Text Recognition). I'm using eScriptorium to adjust text segmentation and transcription, exporting in ALTO format (one XML with text region coordinates for each image) and parsing the ALTO XML to grab the text image regions and export them individually to create a dataset. The problem I'm finding is that I have the region defined at eScriptorium, like this: But when I apply this code from the selected solution for the above linked question: # Initialize mask mask = np.zeros((img.shape[0], img.shape[1])) # Create mask that defines the polygon of points cv2.fillConvexPoly(mask, pts, 1) mask = mask > 0 # To convert to Boolean # Create output image (untranslated) out = np.zeros_like(img) out[mask] = img[mask] and display the image I get some parts of the text region filled: As you can see, some areas that should be inside the mask are filled and, therefore, the image pixels in them are not copied. I've made sure the pixels that make the polygon are correctly parsed and handed to OpenCV to build the mask. I can't find the reason why those areas are filled and I wonder if anyone got into a similar problem and managed to find out the reason or how to avoid it. TIA Continue reading...
