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

            // Empty image
            return img

        if img.ndim > 2:
            temp = (cv.cvtColor(img, cv.COLOR_BGR2GRAY) / 255).astype(dtype)
        else:
            temp = (img / 255).astype(dtype)
        temp = np.amax(temp) - (temp)
        amax = np.amax(temp)
        if amax == 0:
            // white image

Instances