8d0d0c7a6db3904f0222cbe058388a92cf21a548,calamari_ocr/ocr/dataset/imageprocessors/center_normalizer.py,CenterNormalizer,dewarp,#CenterNormalizer#Any#Any#Any#,43

Before Change

        // The actual image img is embedded into a larger image by
        // adding vertical space on top and at the bottom (padding)
        hpadding = r // this is large enough
        padded = np.vstack([cval * np.ones((hpadding, w)), img, cval * np.ones((hpadding, w))])
        center = center + hpadding
        dewarped = [padded[center[i] - r:center[i]+r, i] for i in range(w)]
        dewarped = np.array(dewarped, dtype=dtype).T

After Change

        center = center + hpad - r
        new_h = 2*r
        dewarped = [padded[c:c+new_h, i] for i, c in enumerate(center)]
        dewarped = np.swapaxes(np.array(dewarped, dtype=img.dtype), 1, 0)
        return dewarped

Instances