8d0d0c7a6db3904f0222cbe058388a92cf21a548,calamari_ocr/ocr/dataset/imageprocessors/center_normalizer.py,CenterNormalizer,measure,#CenterNormalizer#,30

Before Change

        h, w = line.shape
        smoothed = filters.gaussian_filter(line, (h * 0.5, h * self.smoothness), mode="constant")
        smoothed += 0.001 * filters.uniform_filter(smoothed, (h * 0.5, w), mode="constant")
        a = np.argmax(smoothed, axis=0)
        a = filters.gaussian_filter(a, h * self.extra)
        center = np.array(a, "i")
        deltas = abs(np.arange(h)[:, np.newaxis] - center[np.newaxis, :])
        mad = np.mean(deltas[line != 0])
        r = int(1 + self.range * mad)

        return center, r

After Change

                                   borderType=cv.BORDER_CONSTANT)
        smoothed += .001 * cv.blur(smoothed, (w, int(h*.5)), borderType=cv.BORDER_CONSTANT)

        a = np.argmax(smoothed, axis=0).astype(np.uint16)
        kernel = cv.getGaussianKernel(int((8.*h*self.extra)+1), h*self.extra)
        center = cv.filter2D(a, cv.CV_16U, kernel, borderType=cv.BORDER_REFLECT).flatten()

        deltas = abs(np.arange(h)[:, np.newaxis] - center[np.newaxis, :])
        mad = np.mean(deltas[line != 0])
        r = int(1 + self.range * mad)

        return center, r

Instances