style.py 文件源码

python
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项目:Neural_Artistic_Style 作者: everfor 项目源码 文件源码
def transfer_color(content, style):
    import scipy.linalg as sl
    # Mean and covariance of content
    content_mean = np.mean(content, axis = (0, 1))
    content_diff = content - content_mean
    content_diff = np.reshape(content_diff, (-1, content_diff.shape[2]))
    content_covariance = np.matmul(content_diff.T, content_diff) / (content_diff.shape[0])

    # Mean and covariance of style
    style_mean = np.mean(style, axis = (0, 1))
    style_diff = style - style_mean
    style_diff = np.reshape(style_diff, (-1, style_diff.shape[2]))
    style_covariance = np.matmul(style_diff.T, style_diff) / (style_diff.shape[0])

    # Calculate A and b
    A = np.matmul(sl.sqrtm(content_covariance), sl.inv(sl.sqrtm(style_covariance)))
    b = content_mean - np.matmul(A, style_mean)

    # Construct new style
    new_style = np.reshape(style, (-1, style.shape[2])).T
    new_style = np.matmul(A, new_style).T
    new_style = np.reshape(new_style, style.shape)
    new_style = new_style + b

    return new_style
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