515779763f9412e3863f279e0862a74cd3672ac9,mahotas/lbp.py,,lbp,#,31

Before Change

        coordinates[0][i] += dy
        coordinates[1][i] += dx
    data = map_coordinates(image, coordinates.reshape((2,-1)), order=1).reshape((image.size, -1))
    codes = (data.T > image.ravel()).sum(0)
    mahotas._lbp.map(codes.astype(np.uint32), points)
    final = fullhistogram(codes.astype(np.uint32))

    codes = np.arange(2**points, dtype=np.uint32)
    iters = codes.copy()
    mahotas._lbp.map(codes.astype(np.uint32), points)
    pivots = (codes == iters)
    npivots = np.sum(pivots)
    compressed = final[pivots[:len(final)]]
    compressed = np.concatenate((compressed, [0]*(npivots - len(compressed))))
    return compressed

After Change

        pixels = image[Y,X].ravel()
    else:
        Y,X = np.indices(image.shape)
        pixels = image.ravel()
    angles = np.linspace(0, 2*np.pi, points+1)[:-1]
    coordinates = np.empty((2, points, Y.size), float)
    for i,(dy,dx) in enumerate(zip(radius * np.sin(angles), radius * np.cos(angles))):
        coordinates[0][i] = Y.ravel()
        coordinates[1][i] = X.ravel()
        coordinates[0][i] += dy
        coordinates[1][i] += dx
    data = map_coordinates(image, coordinates.reshape((2,-1)), order=1).reshape((Y.size, -1))
    codes = (data.T > pixels).sum(0)
    codes = mahotas._lbp.map(codes.astype(np.uint32), points)
    final = fullhistogram(codes.astype(np.uint32))

    codes = np.arange(2**points, dtype=np.uint32)
    iters = codes.copy()
    codes = mahotas._lbp.map(codes.astype(np.uint32), points)
    pivots = (codes == iters)
    npivots = np.sum(pivots)
    compressed = final[pivots[:len(final)]]
    compressed = np.concatenate((compressed, [0]*(npivots - len(compressed))))
    return compressed

Instances