78f505a6cd78c0072ea1a77afb229f8d6658d17b,kraken/ketos.py,,transcription,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,318

Before Change

                logger.info("{}".format(pred.prediction))
                spin("Recognizing")
                preds.append(pred)
            message("\b\u2713", fg="green", nl=False)
            message("\033[?25h\n", nl=False)
            ti.add_page(im, res, records=preds)
        else:
            ti.add_page(im, res)

After Change

        prefill = models.load_any(prefill)
        message("\u2713", fg="green")

    with log.progressbar(images, label="Reading images") as bar:
        for fp in bar:
            logger.info("Reading {}".format(fp.name))
            im = Image.open(fp)
            im_bin = im
            if not is_bitonal(im):
                logger.info("Binarizing page")
                im_bin = binarization.nlbin(im)
            logger.info("Segmenting page")
            if bw:
                im = im_bin
            res = pageseg.segment(im_bin, text_direction, scale, maxcolseps, black_colseps)
            if prefill:
                it = rpred.rpred(prefill, im_bin, res)
                preds = []
                logger.info("Recognizing")
                for pred in it:
                    logger.debug("{}".format(pred.prediction))
                    preds.append(pred)
                ti.add_page(im, res, records=preds)
            else:
                ti.add_page(im, res)
            fp.close()
    logger.info("Writing transcription to {}".format(output.name))
    message("Writing output", nl=False)
    ti.write(output)
    message("\u2713", fg="green")

Instances