7d0609ef91b94a38064d8374794d652e0cdc7c06,skimage/transform/hough_transform.py,,probabilistic_hough_line,#,226

Before Change

        raise ValueError("The input image `image` must be 2D.")

    if theta is None:
        theta = np.pi / 2 - np.arange(180) / 180.0 * np.pi

    return _prob_hough_line(image, threshold=threshold, line_length=line_length,
                            line_gap=line_gap, theta=theta, seed=seed)

After Change

        raise ValueError("The input image `image` must be 2D.")

    if theta is None:
        theta = np.linspace(-np.pi / 2, np.pi / 2, 180, endpoint=False)

    return _prob_hough_line(image, threshold=threshold, line_length=line_length,
                            line_gap=line_gap, theta=theta, seed=seed)

Instances